perm filename BACK[1,RWF]2 blob sn#459532 filedate 1979-07-12 generic text, type C, neo UTF8
COMMENT ⊗   VALID 00078 PAGES
C REC  PAGE   DESCRIPTION
C00001 00001
C00008 00002		DON'T FORGET TO TYPE TTY NO TABS
C00011 00003	EXPECTATIONS -- ADVANCED.
C00014 00004	(3)  If  E[-] <= 0 , a double is never correct. 
C00017 00005	(10)  It is always correct to double if  P >= .8125 . 
C00019 00006	(17)  If you will never have another chance to double, and the cube is in
C00021 00007	(20)  If every outcome of your and your opponent's next roll leaves you with
C00022 00008	In an earlier chapter, you have seen expectations and strategies for doubling
C00023 00009	↑
C00025 00010	Accepting Doubles:  1-4 Roll Situations.
C00027 00011	↑
C00028 00012	Accepting Doubles:  4-6 Roll Situations.
C00030 00013	Similar analyses give  E[-]  for other values of  C :
C00031 00014	↑
C00032 00015	Summing up, for  C >= 8 , threshold values of  B{*} for accepting a double
C00033 00016	Doubling:  1-4 Roll Situations.
C00035 00017	D{0*}(A,B)
C00038 00018	In a 2-roll situation, the expected gain from doubling is
C00040 00019	↑
C00041 00020	↑
C00042 00021	(C = 10)
C00044 00022	Situations where either player can miss are more complex.  If each can only
C00047 00023		  V       4        6       8
C00048 00024	An advanced problem.
C00050 00025	↑
C00051 00026	Another Advanced Problem
C00052 00027	↑
C00054 00028	RUNNING FROM THE GAMMON.
C00059 00029	     Now we see why slotting the 3-point on the previous roll was important.
C00064 00030	     My highest priorities in gammon-avoiding situations are these:
C00066 00031		ONE CHECKER, CLOSED OUT
C00068 00032	     When  O  has no more than four checkers off,  X  should play 
C00071 00033	     When  O  has come in, and moved to  X's  outer board, with  X  to play, as
C00072 00034	NEWSPAPER ARTICLE:  AVOIDING A GAMMON.
C00075 00035		NEWPAPER COLUMN -- RUNNING TO AVOID BEING GAMMONED
C00078 00036	Exercise.   How should  O  play a  2  to minimize the chance of being
C00079 00037			AVOIDING GAMMON
C00082 00038		NEWSPAPER COLUMN -- AVOIDING THE GAMMON
C00085 00039	A NEWSPAPER COLUMN -- AVOIDING BLOTS ON  6-6 .
C00088 00040	↑
C00090 00041	PLAY AFTER CLOSING OUT ONE CHECKER -- THE RACE.
C00093 00042	     Now  X  needs, on the average, a shade under  6  rolls.  O  needs, on
C00095 00043	GETTING AN EXTRA CHECKER OFF BEFORE BEING CLOSED OUT.
C00097 00044	Example:
C00098 00045	BREAKING POINTS, AGAINST OPPOSITION.
C00100 00046	     Since you and I are under no such pressure, let's look at the two positions
C00103 00047	     In Diagram (A),  O  is struggling to avoid being gammoned.  On his
C00106 00048	     The net gain of playing  2/1  is  24 + 40 - 27 - 16 = 21  every
C00107 00049	AVOIDING THE GAMMON --  (NEWPAPER COLUMN)
C00109 00050	WAIT OR RUN?
C00111 00051	↑ (C)
C00114 00052	↑ (E)
C00115 00053	ACE-POINT RACES.
C00118 00054	     To fill out more of this table, let us now look at  A = 4 , B = 4 .
C00122 00055	     Positions closely related to ace-point race positions can be analyzed by
C00125 00056	     O  can miss with rolls of  1-2 , 1-3 , and  2-3 .  This reduces the 
C00128 00057	DOUBLING THEORY -- DOUBLING ON A KEY ROLL.
C00132 00058	     If, however, the probabilities are these:
C00135 00059	DOUBLE OR WAIT?  COUNT THE KILLERS.
C00139 00060	     The second situation favors an immediate double.  You become virtually 
C00143 00061	     Let's try the Killer Rule on a few actual positions.
C00145 00062	(C)↑
C00147 00063	     What about the Killer Rule when you already own the cube?  We can go 
C00150 00064	     Your killer rolls are the rolls which speed you up by a full turn, or slow
C00152 00065				APPENDIX
C00156 00066	     Where do these numbers come from?  They can be calculated readily, starting
C00157 00067	↑
C00159 00068	Answer:   20/12/8/4  guards against rolling a  6-4 .  Keep your spare men
C00160 00069	A NEWSPAPER COLUMN -- 3 MAN BEAROFF. 
C00162 00070	Exercise:  How should  O  play a  1 ?
C00163 00071	A 5-ROLL, PIP COUNT, DOUBLING SITUATION.
C00165 00072	A 3-ROLL DOUBLE.
C00167 00073	AN END GAME DOUBLE.
C00170 00074	NEWSPAPER FILLER -- A 2-ROLL DOUBLE. 
C00171 00075	↑
C00173 00076	↑
C00175 00077						    O
C00177 00078
C00178 ENDMK
C⊗;
	DON'T FORGET TO TYPE TTY NO TABS
     In a two-roll situation, my position is identical to my opponent's, and 
it is his roll.  We each have chance  x  of going off in    1  roll (large 
doubletons) and chance  y  of missing and going off in  3  rolls (taking 
into account the possibility of a doubleton on the second roll).  Then, if  
z  is the chance of going off in    2  rolls,  x+y+z = 1 .
 
     The probability that I will win is  P = 1/2 - 1/2(x{2}+y{2}+z{2}) ; 
the threshold for my taking a double is about  P = .25 , or
x{2}+y{2}+z{2} = 1/2 .
 
     The locus of  x{2}+y{2}+z{2} = 1/2  is a sphere.  That of  x+y+z = 1 
is a plane.  The intersection is a (tilted) circle.  The projection on the
x-y  plane is an ellipse.
 
     Here is a graph of the ellipse    (E = - 1/2) .
 
@
 
 
 
 
 
 
 
  
 
In the interior of the ellipse,  P > .25 , and I should take.  Obviously,
if I have three or four men,  x <= 1/6 .  If  y <= 6/36 , it is a drop..
If  y > 6/36 , the pip count is greater than  4 , and    x <= 5/36 .
Typically,  x  is around  4/36 .  Here, if  9/36 <= y <= 23/36 , 
I should take.  Here are examples of such distributions:
 
@
 
 
 
 
 
 
 
     Additionally, I can redouble if  y < 1/2  and my opponent misses on my 
first roll.  If  y >
?
 
EXPECTATIONS -- ADVANCED.
 
[An advanced section, suitable for an appendix, with results which must be
used in certain derivations.]
 
The values of  E  and  P  for a position can be given a mathematical
definition, although in most cases the evaluation of the resulting formulae
is feasible neither for men nor computers.  If    A  is a position,
 
@
 
 
Move  [-](A,i,j)  in that position  B , such that the play of  i,j  can change
A  to  B , for which  E{*}[-](B)  is greatest.  
 
@ 
 
@
 
@
 
with similar equations for  E{*} , etc.
 
@
 
 
These formulae need not be memorized; it is not even essential that they be
understood.  They do, however, determine the value of each position in
principle; a perfect player, playing against a perfect player, would always
move to the position with the largest expectation.
 
By mathematical induction on the defining equations, assuming that gammons
are out of the question, we may relate    E , E[-] , E{+} , E[0] , etc.
 
(1)	@
 
 
 
	    
 
    
 
Proof:  Obviously true of all terminal positions; assume true on the right
side of the defining equations, and it can be seen true on the left.
 
(2)  If  E[-] >= .5 ,  E[+] = E[0] = E[D] = 1 , and a double is always correct.
 
(Note:  If opponent is not playing rationally, e.g. steaming, it may be
correct to wait until  E[-]  is even bigger, if you think he'll take.)
 
(3)  If  E[-] <= 0 , a double is never correct. 
 
Proof:   E[D] = 2E[-] , while  E[ow][+] >= E[-] ;  E[D]-E[ow][+] <= E[-] ,
so at least  {-}E[-]  is lost by doubling.
 
(4)  E = 2P-1 .
 
Proof:  True for terminal conditions; preserved by linearity of equations
defining  E  and  P .
 
(5)  E[+] <= -1 + 8/3 . P  .
 
Proof:  If  P >= .75 , immediate.  If  P < .75 ,  E[-] <= E = 2P-1 < 1 ,
and  E[D] = 2.E[-] <= 4P-2 <= -1 + 8/3 . P .  Equality is achieved only by
doubling with  E[-] = 1  and  P{-} = .75 , so that  E = 1  and the cube has
no further value for  X .
 
(6)  Corollary.   E[0] <= -1 + 8/3 P .
 
(7)  E[-] >= - 5/3 + 8/3 P  .
 
(Similar to (5), looked at from  X's  point of view.)
 
(8)  Corollary.   E[0] >= - 5/3 + 8/3 P . 
 
@ diagram
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
By Equation (5),  E[+]  is bounded above by  AB , the upper heavy line,
and  E[-]  below by  CD .  Thus all the  E's  lie between these two lines.
E  is the line  AD .  E[0]  and  E[+]  are bounded below by  FG , so a lower
bound for  E[0]  is  CFG , and a lower bound for  E[+]  is  AHG .  Similarly,
an upper bound for  E{*}[0]  and  E{*}[-]  is  JI , so  JIC  is an upper
bound for  E{*}[0] , and  JKD  for  E{*}[-] .
 
(9)  It is always correct to decline or double if  P <= 3/16 = .1875 .
 
Proof:   2E[+] <= 2(-1 + 8/3 . P) <= -1 .
 
(10)  It is always correct to double if  P >= .8125 . 
 
Proof:  {-}P <= .1875 , and my opponent should drop.
 
(11)  It is always correct to accept a double if  P >= 1/4 = .25 .
 
Proof:   2E[+] >= wE = 2(2P-1) >= -1 .
 
(12)  It is always correct to decline a double if  P <= 1/4 = .25 , and 
you can't redouble.
 
Proof:  If you take, your expectation is  2E = 2(2P-1) <= -1 .
 
(13)  If no further doubling by either side is possible, it is correct to
double if  P >= .50 .
 
Proof:  If you double, your expectation will be  2E ; if not, it will be  E .
Your gain by doubling is  E = 2P-1 >= 0 .
 
(14)  It is always correct not to double if  P <= .5 .
 
Proof:  By (3), since  E[-] <= 0 .
 
(15)  It is always correct to beaver if  P >= .5 .
 
Proof:  Doubling gains  E[+] >= 0 .
 
(16)  It is always correct not to beaver if  P <= .375 = 3/8 .
 
Proof:  Doubling gains  E[+] <= (-1 + 8/3 . P) <= 0 .
 
Example:  Beaver with  
 
↑
 
 
 
 
not with
 
↑
 
 
 
 
(To beaver is correct if  E[+] >= 0 .)
 
(17)  If you will never have another chance to double, and the cube is in
the center, it is always correct to double if  E[-] >= 0 .  Therefore, it
is always correct to double in this situation if  P >= 5/8 = .625 , since
E[-] >= - 5/3 + 8/3 P .
 
Examples are the same as for (16); the first is not a double for  X , the
second is.
 
(18)  If you will never have another chance to double, and you own the cube,
it is always correct to double if  2E[-] - E >= 0 .  Since 
E[-] >= - 5/3 + 8/3 P , the condition becomes  2(- 5/3 + 8/3 P) - (2P-1)
>= 0 , or  - 7/3 + 10/3 P >= 0 , or  P >= .7 .
 
Then it is not correct to redouble with:
 
↑
 
 
 
, but it is with:
 
↑
 
 
 
 
(19)  The value of the cube is never more than   2/3 .
 
Proof:  The value of the cube is, presumably,  E[+] - E[-] , which is never
more than  2/3 = .67 .
 
[unchecked]
An example where it is worth nearly this amount is:
 
↑
 
 
 
 
 
 
 
 
 
where  O  will miss on the next two rolls about half the time.   If he misses,
X  will double him, and he has a bare take.  If he does not miss,  O  doubles
X , who will have a bare take or a bare drop, depending on whether  O  still 
has a checker in the 3-point.
 
(20)  If every outcome of your and your opponent's next roll leaves you with
E[-] <= 1/2 , it is correct not to double. 
 
Proof:  You could instead defer doubling one turn.  If you then want to,
you can still double and your opponent will still take, so you have lost 
nothing.  You have the option, however, to wait longer, which may have value,
and you have deprived your opponent of the doubling option for one turn.
 
In an earlier chapter, you have seen expectations and strategies for doubling
and taking doubles when all checkers are on their own 1-points.  We now look
at situations similar to such ace-point races, but complicated by moving one
or more checkers back to other points, so that not all doubletons take off
four checkers, and some numbers may fail to take off even two checkers.
 
Examples:
 
↑
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
O  doubles -- should  X  accept?

↑
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Should  O  double?  Redouble?               
↑
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
O  doubles -- should  X  accept?
 
We will find general rules applying to these positions and many others like
them.
 
Assume that  O  and  X  each have  C  checkers, where  C  is, typically,
even.  As usual, it is  O's  roll.  O  has  G  good rolls, bearing off 
four checkers;  M  medium rolls, bearing off two (or three) checkers;
and  B  bad rolls, bearing off no more than one checker.  If  O  has
this position,
 
↑
 
 
 
	G = 2 , M = 24 , B = 10 .
 
We shall in most cases assume that on all subsequent rolls after the first
roll,  G = 6 , M = 30 , B = 0 , so that the 1-point race expectations can
be used.
 
If not all of  X's  checkers are on the 1-point, we shall use  G{*} , M{*} ,
and  B{*}  analogously as the numbers of good, medium, and bad rolls for  X .
 
↑
 
 
 
	G{*} = 3 , M{*} = 27 , B{*} = 6 .
Accepting Doubles:  1-4 Roll Situations.
 
Here, if all  O's  checkers are on the 1-point,  X  will not accept a double.
If  O  has bad rolls, however, it may be correct for  X  to take, in the hope
that  O  will miss and be redoubled out.
 
If  C = 2 , the decision is well known:  X  accepts if  B > 9 , and
(optionally) if  B = 9 .
 
If  C > 2 , we want to calculate  2E{-} , the expectation when  O  doubles
and  X  accepts.  X  should accept if  E{-} < .50 .  The formula for  E{-} ,
assuming  X  is on the 1-point, is
 
		G:  E{*-}(C-4,C)
	E =	M:  E{*-}(C-2,C)
		B:  E{*-}(C,C)
 
If  C = 4 ,  E{-} = 1/36(G . 1 + M . .67 + B . -1.00) , this is less than
.50  if
 
		G + .67(36 - G - B) - B < 18 ;
 
		.33G - 1.67B < -6 ;
 
		G - 5B < .18 ;
 
		5B > 18 + G .
 
Since  G  is ordinarily at least  2 , and never more than  6 ,  X  should
take if  B >= 5 .
 
↑
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
		G = 3 , M = 27 , B = 6 .
 
If  O  doubles,  X  should take.
↑
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
  
 
	B = 4				B = 2					B = 4
 
If  O  doubles,  X  should drop.
 
If  C = 6 ,  X  should accept a double, analogously, if
 
	1/36(G . 1.00 + M . .49 + B . -1) < .5   ,
 
or, simplifying,
 
	if  B > -.24 + .34G .
 
This condtion reduces to  B >= 2 .
 
(If  C = 8 , we know that  X  should accept a double even if  B = 0 .)
 
Summing up, the threshold  B  for accepting a double, for each  C , is
 
		C     2     4     6     8
		B     9     5     2     0
 
Accepting Doubles:  4-6 Roll Situations.
 
With  4  or more rolls to go,  X  will accept a double even if  B = 0 ,
unless  X  may himself miss  (B{*} > 0 , or  G{*} < 6) .  Suppose  O  has
all checkers on the 1-point.  For such situations, look ahead two plays,
and form a weighted average of the expectation  E{-}  at that time.
That average is
 
	E{-}  =		G{*}:  5:  E{-}(C-2,C-4)
			       1:  E{-}(C-4,C-4)
		        M{*}:  5:  E{-}(C-2,C-2)
			       1:  E{-}(C-4,C-2)
			B{*}:  5:  E{-}(C-2,C)
			       1:  E{-}(C-4,C)      .
 
X  should accept if  E{-} < 0.50 .
 
If  C = 8 , the formula for  E{-}  reduces to 
 
	1/36(G{*} . -.48 + M{*} . .65 + B{*} . .97)  ,
 
which we will also write as  <G{*},M{*},B{*}>.<-.48,.65,.97> .  If  G{*} = 6
and  B{*} = 0 m  E{-} = .46 .  As the coefficient of  G{*}  is
-(.48 + .65)/36 = -.03 , and that of  B{*}  is  .32/36 = .01 .
 
The worst position at  C = 8  in which  X  should accept a double is this 
one:
 
↑
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
	G{*} = 5 ,  B{*} = 2' .
Similar analyses give  E[-]  for other values of  C :
 
	If  C = 10 ,  E{-} = <G{*},M{*},B{*}>.<-.53,.54,.92>  .
 
	If  C = 12 ,  E{-} = <G{*},M{*},B{*}>.<-.51,4.6,.89>  .
 
(Notice that  E{-}  is much more sensitive to  G{*}  than to  B{*} .)
 
In practice, the threshold takes are:
 
	C = 10 ,  B{*} = 6
	C = 12 ,  B{*} = 10 
 
exemplified by these positions
 
↑
 
 
 
 
 
 
 
 
 
 
 
 
 
 
	C = 10 , G{*} = 4 , M{*} = 26 , B{*} = 6 , E{-} = .487  .
 
↑
 
 
 
 
 
 
 
 
 
 
 
 
 
	C = 12 , G{*} = 3 , M{*} = 23 , B{*} = 10 , E[-] = .495   .
 
X  takes a double -- barely.
 
↑
 
 
 
 
 
 
 
 
 
 
 
 
 
 
	C = 12 , G{*} = 3 , M{*} = 21 , B{*} = 12 , E{-} = .52  

X  drops. 
 
↑
 
 
 
 
 
 
 
 
 
 
 
 
 
 
	C = 12 , G{*} = 5 , M{*} = 21 , B{*} = 10 , E{-} = .491  .
 
X  takes.
 
↑
 
 
 
 
 
 
 
 
 
 
 
	C = 12 , G{*} = 5 , M{*} = -20 , B{*} == 11 , E{-} = .504  .
 
X  drops, in part because he may miss on his second roll as well.
 
Summing up, for  C >= 8 , threshold values of  B{*} for accepting a double
are:
 
		C     8    10    12
		B{*}  2     6    10
Doubling:  1-4 Roll Situations.
 
As everyone knows, in a 1-roll situation  (C = 2) , it is correct to double,
or redouble, if  B < 18 .  For situations not so close to the end of the game,
it is correct to double more conservatively, because the doubling cube will
continue to be of value on later plays.  The expectation from a position if
doubles (and  X  takes) is
 
		G:  E{*-}(C-4,C)
	   2    M:  E{*-}(C-2,C)
		B:  E{*-}(C,C)
 
while, if  O  waits, the expectation is
 
		G:  E{*0}(C-4,C)
		M:  E{*0}(C-2,C)
		B:  E{*0}(C,C)
 
If we use the notation
 
	D{*0}(U,V) =2E{*-}(U,V)-E{*0}(U,V)
 
as the gain from having already doubled, after  O  rolls and endsup with
U  checkers vs.  V  checkers, the gain of doubling is
 
	G:  D{*0}(C-4,C)
	M:  D{*0}(C-2,C)
	B:  D{*0}(C,C)
 
The following tables give values of  D{*0} , the gain (with hindsight) of
having doubled, and the analogous values of  D{*+} , the gain of having
redoubled;
 
	D{*+}(u,v) = 2E{*-}(U,V)-E{*+}(U,V)
 
D{0*}(A,B)
 
	   B   2        4        6        8       10       12
	A
	
	2    -1.00      .67     1.00     1.00     1.00     1.00
	4    -1.00    -1.00      .26      .90     1.00     1.00
	6    -1.00    -1.00    -1.00      .00      .80      .99
	8    -1.00    -1.00    -1.00    - .92    - .13      .69
       10    -1.00    -1.00    -1.00    -1.00    - .78    - .13
       12    -1.00    -1.00    -1.00    -1.00    -1.00    - .71
 
 
P{*}(A,B)
 
	  B   2      4      6      8     10     12
	A
 
	2    .00    .83   1.00   1.00   1.00   1.00
	4    .00    .14    .74    .98   1.00   1.00
	6    .00    .00    .22    .69    .95   1.00
	8    .00    .00    .02    .26    .67    .92
       10    .00    .00    .00    .04    .29    .65
       12    .00    .00    .00    .00    .07    .30
 
 
D{+*}(A,B) = 2{-}E{*}-E{+*}
 
	       2        4        6        8       10       12

	2    -1.00      .67     1.00     1.00     1.00     1.00
	4    -1.00    -1.28    + .26      .90     1.00     1.00
	6    -1.00    -1.00    -1.43    - .03      .80     1.00
	8    -1.00    -1.00    -1.04    -1.37    - .19      .68
       10    -1.00    -1.00    -1.00    -1.09    -1.12    - .21
       12    -1.00    -1.00    -1.00    -1.01    -1.14    -1.01
 
 
P(A,B)
	  B    2       4       6       8      10      12
	A
 
	2    1.00    1.00    1.00    1.00    1.00    1.00
	4     .17     .86    1.00    1.00    1.00    1.00
	6    0        .26     .78     .98    1.00    1.00
	8    0        .02     .31     .74     .96    1.00
       10    0       0        .05     .33     .71     .93
       12    0       0       0        .08     .35     .70
 
@
@
In a 2-roll situation, the expected gain from doubling is
 
	<G,M,B>.<D{*0}(0,4),D{*0}(2,4),D{*0}(4,4)>
     =  <G,M,B>.<1.00,.67,-1.00>  ;
 
the corresponding expected gain from redoubling is
 
	<G,M,B>.<1.00,.67,-1.28>  .
 
↑
 
 
 
 
 
 
 
 
 
 
 
 
 
 
	G = 2 , M = 19 , B = 15
 
In this position, the gain from doubling is  <2,19,15>.<1,99m,56,-1.00> = .00 ,
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↓ε∪↔S←.+9↓↓∩↓βπ;"↓↓a↓Ph)4PH&
↓α↓↓↓↓∩↓↓↓↓α↓Q↓↓α↓↓↓Yα↓↓↓↓β@4(&∩↓#∪?.∪3∃%α↓↓↓EB↓↓↓↓β	U↓↓α↓↓EAα↓↓↓↓β 4(&∩↓#K↔&{W3*I↓↓EB↓↓↓↓β	M↓↓α↓↓↓aα↓↓↓↓β⊂4)hRS#'~β∨KπεAβO#␈;MβSG∪↔O#}c⊃β[∞cW↔Mε{→↓α∩↓β≠?∩βSπ/Ns≥β¬ε#?Wf)↓↓""I↓04V#?WfK;≥↓αBa%↓bβπ;⊃π∪↔∪?.∪3';:↓!⊃%αβ≠?Iα↓E5QαβK?3bβO'S.S'?w_4)hRx4)h)4R4)hQ4)h)4R4)hRK?W>C3e1π##∃βεSS↔⊗qβ'MPh)4PJ∪?W⊗c↔Miαα	↓uβ	a↓β}qβ3π∨!βK?fam↓↓"↓β≠↔>+Iβ≠␈⊃β↔π≡Aβπ∪&KS'?v1βK}c184PJK↔∪␈+3↔≠Q↓α	βi↓Eaαβ?9βfOQβ⊗{31mα↓U↓β6+←↔Iε3?Iβ.∂!β∞#∪'SN{;π1π∪?31ph(&π≡≠↔CS≠Q↓α	βi↓e↓ε{9β3∂≠QβK}c1m↓β→↓β≠/;↔Iβ6{Iβ↔∞≠!βπ&#'S'}sπ1β⊗{318hQ4(2O''+πS'}sMβ←F+K∃β.KS#↔∩βC3πN+Iβ∂∞qβ7'∨→βπK*β7?K*β∂?7εc↔a9αα'→β.∂!β≡9β?vcd4+nKOMβ}qβ#'~β;↔c"βK?3baβS#*β∨π'rβ≠K?jβ∪?W⊗c';≥εKMβ?↔#π';.!βeεc??/Ns≥βπF+π⊂4W#←=βεce1β&/';:β←↔'>CS↔⊃ε[↔K∞;↔Mβ}1βS#*β∨π'rβK↔O.cS';:β≠K?jβ#π[Ns≥β∪␈+3↔"`4+π~β¬β≠.s∂S'}qβ?→π##∃βw+7↔∩β?→β≡C↔∂//∪MβK.kπ';Ns≥↓#π∪↔OWn3eε{9βSF)↓E7ε{';QHh+≠?∩β↔π∂BβC3πN+I9↓¬##'Mε;π'9εKL4)h(&∪[βy"Ue1%↓uβ∩↔m7rBU2YJj↔m/rBU2YJ↓↓1β␈⊃04(hS≠?Iπ∪↔∪?.∪3↔M`h)4PJ∪m/rBU2YJ↓u↓J/Y7y"*bY%6/Y/y"*bY%↓αp4)hR∪mCr↓u↓J/Y7y6/YCy↓bβS#∃ε;π'9π∪↔OWg#';≥ε3K?5εCπ['v9β∪?.∪3↔⊃ε{9βSF)βCK/3'?W~4+S/∪984R4(%ααY↓↓α↓↓↓↓∩↓↓↓↓α↓↓↓Qα↓↓↓↓α↓↓Y↓α↓↓↓↓α↓a↓↓α↓↓↓↓β	A↓↓α↓↓↓E⊂h(&ThQ4(K⊂%↓Es↓A↓↓α↓↓E9β↓↓↓↓α↓E9Aα↓↓↓↓β	9AAα↓↓↓↓
qAA↓α↓↓E9β4(% I5↓939↓↓↓α↓↓9Q"↓↓↓↓β	9AAα↓↓↓↓
qAA↓α↓↓↓Es↓A↓↓α↓E9Ah(%XJiE9Aα↓↓↓↓j↓9]Iα↓↓↓↓αqEU↓α↓↓↓↓sII↓↓α↓↓E9β↓↓↓↓β	9A@hP%`%k	9AAα↓↓↓5
qAA↓α↓↓5↓s9e↓↓α↓↓↓9β↓↓↓↓α↓↓9a~↓↓↓↓αqed4R↓↓↓↓α↓↓E@JiE9Aα↓↓↓↓k	9AAα↓↓↓5
qAA↓α↓↓5↓s9Y↓↓α↓↓↓9β↓↓↓↓α↓9]LhQ↓↓↓α↓↓↓E⊂I5E9β↓↓↓↓αiE9Aα↓↓↓↓k	9AAα↓↓↓5αqee↓α↓↓5↓s1]↓↓α↓↓9Ah)4Up4)hQ4)h)4R4)hQ4)h)4R4)hQ4(L;m+yβi↓Q↓bα7m+r↓u↓I2↓1αZSy↓uβ1↓1hP&≥↓j↓Q↓↓α↓1α5βi↓IYα↓↓↓1∧⊃↓u↓2↓84*≡C?W3"↓α=↓ε#?Wf)|4)h*←∃π≠↔∃β&CπQβN1↓α=αβ7'O≡+M1↓¬A↓β←Nc1β;␈!β'7n+∪'π&+3eβ⊗+∪?W⊗c∃9↓¬##↔K.3?K∃`h+'→ε≠S↔∩↓α=↓πβ3πg~βπ;⊃ααa↓βεcπgMb↓α=↓εCπM↓¬)↓β∂F+∂/↔↔→βK↔n';'v9βπ;"↓α`4VCπM↓¬1↓β∂F+∂/↔↔→βK↔n';'v91βSF)β∨πNqβ≠K}iβ#π6K;≥β&{W3.!β←'faβ∀hR∪mCrBU2YJ↓9↓α↔IβSπNs≥βSF)βπCπ∪?CKNS∃β>+'∨#&+⊃βπ6+Kπ∨*β?[↔∩βS#∃π≠↔[↔⊗04+63W↔~β?→↓¬)↓βπv!↓αYαaβ←∃ε≠π3∂.cπS∃π##∃β/CC↔∂&+⊃β∨∞K9β≠⊗{5β∪␈+3'v99↓αNq4+
β∂?;6+;'↔w!βSπ↔+3πIεs?Sπ&K?90hQ4(0%↓¬1↓↓↓α↓↓↓Qα↓↓↓↓α↓↓Y↓α↓↓↓↓β@4(&(h)4PIQ↓↓α%↓↓s!Q↓↓α↓↓E9β↓↓↓↓β	9A@HJ≥↓uβ_4(%0I5↓9;⊃↓↓↓α↓↓9E*↓↓↓↓αqeH$Li↓u↓∪_4)K@%5Es↓A↓↓α↓5↓9;I↓↓↓α↓9A@HJ	↓uβ	@4)h)↓α>+'∨#&+⊃↓↓α↓↓↓5αq]A↓α↓↓5↓s↓Q↓↓α↓↓9Y8h)↓β∂3↔Kπ>(4)hP%qQc⊃Y1Yrqq59;↓159β!19Y;q↓u↓s↓A↓↓bβπ9β␈βS'?v1β∪␈+3∃bβ;?Qε	βK↔&{W3*p4)hR'→β&C∃βCfg↔K~β↔π∂Bβ#π[*βS#∃π≠π7∃πβ?O'&K?90hQ4*ph)4R4)hQ4)h)4R4)hQ4)h)4R4+SF)β∨πNqβ≠K}iβK↔&{W3Ns≥β'≠P4)hP$%↓β!↓↓↓α↓↓↓↓2↓↓↓↓α↓↓`4PIP%↓αqQQ↓α↓↓↓Es↓A↓↓α↓E9AH&≥↓j↓L4(K0%5↓sIU↓↓α↓↓↓9)↓↓↓α↓9eHHJ5↓uβ⊃L4(K@%5Es↓U↓↓α↓5E9⊃↓↓↓β$&	βi↓E@hQ4)ααπ[↔⊗∨∀%j↓9aYα↓↓↓5αqEM↓α↓↓↓9384)hP%qMc⊃M1Eβq9q5sAY15s	M1939y↓uαqAM↓αaβ∂?↔∪↔∂Qπ#=βK.#?Wf)84)h(2π9ε∪[πv≠↔⊃βπ∪?3.i84)h*x4R4)hQ4)h)4R4)hQ4)h)4R4)hRO#?.c⊃↓αz↓βK↔&{W3+x4)hR↔π∂BβC3πN+Iβ#∂→↓↓Uαβ∨??"βK?3g→↓↓":I↓1↓β⊃E↓βn+∪'Wj↓↓"5J↓1βπv!↓↓Eα↓βπ"↓↓↓"∩I↓84T+π∂!πβ3πg/⊃β'Mε{≠→βNqh4)h)↓K	↓βK}c1↓↓αB≥$4PII↓β⊗{33Mα↓"65bα6≥1ε{Iα
:H4)↓ε{I↓↓α↓M↓β⊗{33Mα↓"
	bα
51∧j	%↓ph)4U##∃β>';Mε{→βK.#?WfK;≥β∂∪∃βS∞∪W3π&+⊃β.c?]hhQ4(J↓αa↓α↓↓↓↓∧9↓↓↓α↓↓↓αhH%↓↓α↓↓↓↓ααλ4(Lx4)hP&≥↓j↓T%↓
qAA↓α↓↓↓Es↓A↓↓α↓↓↓↓α↓↓↓↓α↓↓↓↓.00
	M = 21  -1.00     0    (alpha)           .84 (beta)
	B = 10  -1.00    -1.01 (gamma)		 .52 (delta)
 
    Average     - .72    - .14                   .77
 
	<5,21,10>.<-.72,-.14,.77> = .03 , a redouble.
 
(alpha)
↑
 
 
 
 
 
 
 
 
O  will still redouble,  X  will still take.  No change in expectation.
 
↑
(beta)
 
 
 
 
 
 
 
 
 
	P{*} = 10/36 . 5/36 = 50/1296
	E{-} = 1-2P{*} = .92
	D = 2E{-}-E[+] = .84

↑
(gamma)
 
 
 
 
 
 
 
 
 
 
 
	P{*} = 31/36 . 21/36 = 806/1296 = .62 ;
	E{+} = E = 1-2P{*} = -.24
	E{-} = -.62  (see Chapter ?)
	D = 2E{-}-E{+} = -1.01
 
↑
(delta)
 
 
 
 
 
 
 
 
 
 
 
 
Another Advanced Problem
 
Mel Drapkin ↑
 
 
 
 
 
 
 
 
 
 
 
Bill Robertie
 
	G{*} = 5 , M{*} = 31 , B{*} = 0 
	G = 2 ,    M == 25 ,    B == 9
 
	(Counting  12 , 13 , and  23  as  1/3  bad rolls.)
 
	  X		G = 5		M = 31
	O

	G = 2		 1.00            1.00
	M = 25		- .72 (alpha)     .44 (beta)
	B = 9		-1.00		-1.00
 
	Average		- .69		  .11		<-.69,11><5,31> = -.00 
			an incorrect double (marginal)
 
↑
(alpha)
  
 
 
 
 
 
 
 
 
 
 
	D = ?
	P = 5/36 ; E = - 26/36 = -.72
 
↑
(beta)
 
 
 
 
 
 
 
 
 
 
	E{0}= 1.00   ,   P{*} = 31/36 . 6/36 = .14
	E{-} = 1-2P{*} = .72
	D = .44
 
(The above analysis does not take into account that on his second roll,
O  probably does not bear off four men with  11  or  22 ; thus there is 
another reason not to double.)
 
Detailed Study of Previous Problem.
 
↑
 
 
 
 
 
 
How many misses on next 2 rolls?  How many doubletons that bear 4 off?
 
↑
 
 
 
 
 
 
 
 
 
 
 
	for medium moves  (31 of them):
		sigma misses = 86 == 2{+} bad rolls
		sigma good doubletons = 120 == average of 4 .
 
In effect,  B = 9 , G = 0 ; R = 3 .  <0,27,9>.<1.00,.26,-1.00> = -2/36 = -.05 ,
not a double.  Even if we set  G = 2 , we get
<2,25,9>.<1.00,.26,-1.00> = -.5/36 = .01 , not a double.
RUNNING FROM THE GAMMON.

     In position  A , I was one of an inharmonious team of three players in 
a chouette, playing the  O  pieces.  The captain rolled  4-1 , and I urged
caution.  He was listening to no Cassandras, however, and played  12/17 ,
reaching position  B , without waiting to hear why it was dangerous.  He 
muttered something about having a sure gammon.
 
     The attentive reader will have noticed that the captain's play leaves blots
on rolls of  6-6 , 6-5 , 6-4 , 6-3 , 5-5 , and  5-4 .   Had he played   12/16 ,
23/24 ,  6-3  and  5-4  would be safe.
 
     I believed that our gammon chances were too small to justify risking a
loss.

     Wanting to capture the captain's attention, I offered to bet him ten 
dollars at even money that we would not win a gammon.  He hesitated until the 
third partner, another evangelist for the gospel according to St. Gammon, 
offered to take half the bet.
 
     Why did I make such an apparently foolhardy bet?  Watch a typical play.
 
     Say  O  rolls  5-1 , playing  17/22 , 24/off .  Then he rolls  6-4 , 
playing  6/off , 6/2 .  X  rolls  3/3 , staying out.  O  rolls  6-1 , playing  
5/off , 5/4 .  In position   C ,  X  rolls  6/3 .  He has been lucky:  
X  could have come in one roll earlier.  In the absence of doubletons,
O  will go off in six more rolls (12 dice).  I will win the bet if the  
X  pieces go off in  12  dice, including the current two.  What should  
X's  strategy be?
 
     X  can expect to get two of each number on the twelve dice.  The back man,
starting from the bar, can reach home using four dice (a distance of  19 ).
In fact, since he starts with a six, the other three dice used must add up to 
13 .  By using his fours, fives, and sixes (he expects six of these, and only
needs three) to move back men, and smaller numbers to bear into his home
board,  X  will waste no dice, and can expect to come off in twelve dice:
four for the back man, seven to bring the rest in, and one to bear a man off.
With this plan,  X  becomes a favorite.  Doubletons, large or small, can be
played to good advantage, speeding up the bearoff by a whole turn.
 
     Under this plan,  X  plays  bar/19 , 9/6 .
 
     The game proceeds:
 
	O:  4-5 	4/off , 4/off  (Position D)
	X:  3-1		8/5 , 7/6
		(Notice the loss of a pip, for good cause.)
	O:  3-3		4/1 , 3/off , 3/off , 3/off   (Position E)
		(Notice that this does not gain a roll.  Only large
		 doubletons help  O .)
	X:  4-2		19/15 , 8/6
	O:  6-5		2/off , 2/off   (Position F)
	X:  6-4		15/9 , 7/3   (Important!)
	O:  2-3		2/off , 2/off   (Position G)
	X:  3-1		9/6 , 7/6
 
     Now we see why slotting the 3-point on the previous roll was important.
X  wants to be able to handle the rolls of  1-1 , 1-2 , 1-3 , and  2-3  on his 
next turn.  To have no checkers on the  1 , 2 , or  3  points on the last roll
exposes him to missing on all the above rolls.  With a checker on the 3-point, 
X  succeeds unless he rolls  1-2 .
 
	O:  4-2		1/off , 1/off
	X:  4-2		7/5 , 4/off   , avoiding the gammon.
 
     (An experiment showed that  X lost the gammon, with correct play, only 
twelve times out of thirty trials, so I got even money on a  3-2  proposition.)
 
     In avoiding a gammon, one must play to take into account the need for pips,
the need for crossovers, and, often, the need for sixes.  In position  H ,
O  needs  8  crossovers and at least  23  pips on his next four rolls
(including the current one) to avoid being gammoned.  To play  8/6 , 7/4  
wastes two pips to no purpose, losing needlessly if the next three rolls total
18  or  19  (12% of the time).  To play  15/12/10 wastes a crossover, 
requiring doubletons to catch up.  To play  15/12 , 14/12  has a less 
obvious defect:  in the absence of doubletons, it loses unless  O  gets 
two or more sixes on the next three rolls, which only happens  27% of the time.
(Chance of no sixes:  (5/6){6} = .33 .  Chance of one six:
({6}[1]).(5/6){5}.1/6 = (5/6){5} = .40 .  Chance of   2  or more sixes:
1-.33-.40 = .27 .)  A better play is  15/12 , 8/6 , but this still makes  
O  dependent on rolling a six or a doubleton.
 
     The best play is  14/11 (!), 8/6 , (Position I) which requires no 
subsequent sixes, wastes no pips, achieves two crossovers, and handles all
subsequent numbers well.  Subsequent numbers are played as follows:

 	1	7/6
	2	7/5 , wasting a pip for the sake of an essential crossover.
	3	15/12  or  7/4 , depending on comparative risks of shortage
		of sixes and shortage of pips.
	4	15/11
	5	11/6
	6	15/9 :  Better than  11/5 .  After 11/5 , one needs the 
		following large numbers on the next rolls to avoid missing
		a crossover;  6-3 , 6-4 , 6-5 , 6-6 , 5-4 , or  5-5 .
		After  15/9 , all of these still work, and so does  5-3 .
 
     In general, the rules for bearing in to avoid gammons are these:
 
(1)	Don't waste pips in your home board without solid reason,
	such as an essential crossover.  Usually it is wrong to waste
	any until your last two rolls, but if you have many men on your
	seven point, it may be correct much earlier.
(2)	Don't pile up men on your  12  and  18  points unless only double
	sixes can save you.  You will waste crossovers on these men
	eventually, unless you roll many sixes.
(3)	Try to spread your men out in your outer board; avoid duplication.
(4)	Cross over into a new board when you can.
(5)	Occupy your  11  point, to make good use of fives and sixes later on.
(6)	Occupy your  7 point, so that ones will always play well.
 
     My highest priorities in gammon-avoiding situations are these:
 
(1)	Bear in to the 6-point.
(2)	Play a  6  from  13  to  7  so that ones will bear in, if the  7 
	point is vacant.
(3)	Bring a man down to a vacant point in your outer board, with the
	exception of the 12-point.
(4)	Bring a man down to an occupied point.
(5)	Bring a man into your opponent's outer board, especially to points
	13-15 .
 
     My usual preferences for playing the individual numbers are:
 
To play a	1:	7/6 , 13/12 , 19/18 , 12/11 , diversify.
	 	2:	8/6 , 13/11 , 19/17 , 14/12 , 20/18 .
		3:	9/6 , 14/11 , 13/10 , 19/16 , 20/17 .
		4:	10/6 , 15/11 , 14/10 , 19/15 , 20/14 , 16/12 .
		5:	11/6 , 16/11 , 17/12 , 15/10 .
		6:	12/6 , 18/12 , 13/7 .
 
with exceptions to meet special conditions.
	ONE CHECKER, CLOSED OUT
 
     A back game often ends with one player  (O  , say) being hit and closed
out after taking several men off.  If all his other men are on the 1-point,
no trap play to get another man back is possible; the best  X  can do is to 
try to bear off quickly, while keeping  O  on the bar as long as possible.
 
↑
(A)
 
 
 
 
 
 
 
 
 
 
		A typical position with one checker closed out.
 
In situations like position  A ,  O  has the advantage if he has taken  8
or more men off.  With  10  men off, he can double from the bar;  X  should
drop.  With  5  men off,  X  can double  O  out.  The table below gives an
experimental estimate of the number of times  X  will win, depending on the
number of men  O  has borne off, if the game is played to completion.
 
	                 	Wins for  X  in		Correct style of
 	Number of men off	36 games		play for  X
 
		0			36		 
		1			36		 
		2			36		   Conservative
		3			34		 
		4			32		 
		5			31		 
		6			25		   Moderate
 		7			21		 
		8			16		 
		9			12		 
	       10			 8		 
	       11			 5		   Radical
	       12			 2		 
	       13			 1		 
	       14			 1		 
	       15			 0		 
 
     When  O  has no more than four checkers off,  X  should play 
conservatively, avoiding gaps and odd extra checkers on the high point.  
He should, however, try to bear off a few checkers before opening up if 
possible;  O  has a very fast board.  When  O  has  5  to  7  checkers off, 
experiments show that  X  should take moderate chances.  He should avoid 
opening points on which  O  can come in, even at the expense of leaving 
gaps and odd extra checkers on high points.
 
When  O  has  8  or more checkers off,  X  must take desperate chances until
he is within about  5  checkers of having as many off.
 
↑	FILL IN EXAMPLES OF PLAY



















     As  X  bears off, if  O  stays on the bar, the positions are about even
when  X  has four more men left than  O , with  X  to play.

(B) ↑










     In position (B), if the game is played to completion  36  times,  X  will
win about  20  of them.  However, if  O  has the cube,  O  will be a slight
favorite (his expectation is around  0  to  5%  of the cube).  Each extra
checker makes about a  20%  difference in  O's  chance to win.  If  O  has
one more checker on the 1-point,  X  should double, and  O  barely has a
take.  In general, with a smooth position  X  should double when he has 
five more checkers than  O  who is still on the bar.
     When  O  has come in, and moved to  X's  outer board, with  X  to play, as
in position (C),
 
↑
(C)












			X  to play
 
the position is even if  X  has  4  more men than  O .  If  O  had  7  men
on the 1-point,  X  should double him out.  If it were  O's  roll in
position  D , he could double  X  out.  (The expected number of rolls is
5.0  for  X ,  4.5  for  O .)
NEWSPAPER ARTICLE:  AVOIDING A GAMMON.
 
↑ (A)










     Here you are trying to avoid being gammoned.  The  6  must be played  
12/6 .  Many players would play the  2  by 7/5 , without thinking.  Should you 
ever make such a move, look at the resulting position before you pick up your
dice, and work out what happens to you if your next roll consists of the
numbers of empty points -- in this case,  3's  and  4's .  Doubletons  3's
and  4's  can't hurt, but a  3-4  on the next roll fails to take a man off.
You should look for a safer play.
 
     The play  12/6/4 , leaving gaps on the  3 , 5 , and  6 , is perfectly safe;
every roll consisting of  3's , 5's , and  6's  takes a man off.
 
     When you are racing to avoid being gammoned, it is tempting to play fast, 
and to blame a later miss on bad luck.  By anticipating your bad rolls, you will
have bad luck less often.
 
Exercise.
↑ (B)











		O  to play  2-1 .
 
Answer:  If you played  8/6 , 7/6 , you left yourself open to a  4-4 , 4-5,
or  5-5  on the next roll.  Play 7/5 , 6/5  to guarantee bearing a man off
on the next turn.  To play  8/6/5  is not correct; you need the man on the
8  point in case of a  4-4 .  To play  7/5/4  loses a gammon if you roll  5-5 .
 
	NEWPAPER COLUMN -- RUNNING TO AVOID BEING GAMMONED
 
     Here  O  is running to avoid being gammoned.  How should he play a  1 ?
 
↑














     He must bear off in two more rolls.  If he plays the back man  18/17 , he
risks getting a  1  on the second roll, and not being able to bear a man off.
If he plays it  2/1 , he risks not reaching his home board on the first
three dice.  A detailed analysis counts the rolls that make one or the
other move better:
 
  If the first roll totals:	5	6	7	8	9	10
 
  Probability:			4/36	4/36	6/36	5/36	4/36	2/36
 
  Second rolls good only with		6-1	5-1	4-1	3-1	2-1
  2/1						6-1	5-1	4-1	3-1
							6-1	5-1	4-1
								6-1	5-1
									6-1
 
  Second rolls good only with	6-2	5-2	4-2	3-2
  18/17				6-3	5-3	4-3
				6-4	5-4
				6-5
 
     The better move is  2/1 ; it bears a man off in two rolls an extra  2%  of
the time.  The decision is a close one:  if the back man were on the  19
point,  19/18  would be the correct move.  In the situation of the diagram,
O  is likely to need an odd number of dice to bring the back man in, and the
extra die may well be a  1 .
 
     In situations of this type, it is correct to slot on the  1  point if the 
back man is left on the  18 , 17 , 16 , or  15  points; also on the  11 , 10 , 
and  9  points.
 
Exercise.   How should  O  play a  2  to minimize the chance of being
gammoned?
 
↑











Answer:   If  O  plays 10/8 , any roll containing a  1 , except  1-1  will
lose the gammon.  If he plays the correct  3/1 , only  1-1 , 1-2 , 1-3 , 
and  2-3  lose the gammon.
 
     This position is closely akin to the choice between having two men on
the  2  point, and having a man on the  4  and a man on the  1  point,
in a bearing-off situation.  It is usually incorrect to waste two pips inside
the home board when playing to avoid a gammon; this position is exceptional.
 
		AVOIDING GAMMON
 
↑












     O  will probably get three more turns.  Assume he plays  2/1 .  In three
turns, he must use at least  19  pips to bring men home, and then bear off
a man with his smallest die of the final roll.  The average value of the
smallest die is
 
	(11 . 1 + 9 . 2 + 7 . 3 + 5 . 4 + 3 . 5 + 1 . 6)/36 = 2.53 ,
 
so the total number of pips needed is  21.53  on the average.  If he plays
16/15 , 10/9 , or  8/7 , he will still need at least  18  pips to bring
men home, and then must bear off a man with the smallest die other than  1 .
In the  10  cases where one of the dice is  1 , the average value of the
other die is  4 , raising the average number used to bear off by  
11(4-1)/36 = .92 , to  3.45 , so the total number of pips needed is  21.45 ,
on the average.
 
     This suggests that, contrary to much expert opinion, it is not worth while
to use  1's  to slot the 1-point in general.  Naturally, there are special
situations which call for slotting the 1-point.  If there is a single outside
man on the  9  or  10  point, or between the  14- and  18-  points, slotting 
the  1  is helpful.
 
     In this particular position, unless he gets doubletons,  O  must cross 
into a new board with each subsequent move.  To play  14/13  allows use of 
even a  1  to enter a new board.
 
     An experiment confirmed the correctness of  14/13 .  The position was 
played out  36 times with both initial moves  2/1  and  14/13 , using the 
same rolls of the dice.  O  took a man off in  3  rolls  17  times after  2/1 ,
19  times after  14/13 .  The main reason for the difference was the fact 
that  1's  could be used to cross into a new board after  14/13 .
 
	NEWSPAPER COLUMN -- AVOIDING THE GAMMON
 
     Ordinarily, when trying to avoid being gammoned, you should avoid wasting
pips within your inner board.  An important exception arises when your
pip count is low compared to the number of men you have to bring in. In
this position,  O  has a  4  to play.
 
↑












     He is likely to get only four more turns.  He can expect an average of
32  pips in four turns -- more than enough  (22  could do it), but, in the
absence of doubletons, he must cross into a new board with each move
(including the current one) to get off in four.  Playing  17/13  is a
mistake:  he can get off in four only with the aid of doubletons.  He
must play  8/4  (or  7/3 ), saving the man on the  17  point for  5's
and  6's .  If  O  gets doubletons, he is farly safe.  If not, he will
get two  6's , or a  5  and a  6 , among the next four rolls nearly  75%
of the time.
 
Problem:   Should  O  play  8/4  or  7/3  in the above position?
 
Answer:   7/3 , the better move, hurts  O   only if he rolls  1's  on each 
of his first three moves, a chance of less than  .03 ; playing  8-4  is
likely to hurt him if his fourth roll is  3-1 , or if it is  6-3  or  5-3
and he needs the larger die to bring the back man in.
 
A NEWSPAPER COLUMN -- AVOIDING BLOTS ON  6-6 .
 
↑















     In this position,  O  will almost surely win unless he has to leave a 
blot.  On the current move, only  6-6  will force him to leave a blot.  In
bearing-in situations, with an enemy man on the bar and a closed board,
6-6  is often a dangerous roll.  The position shown is identified as a
bad one by counting an odd number of men between the  6  and  11  points,
the region from which a  6  can be played once.  The rule in such situations
is to keep an even number of men on points  6  to  11 .
 
     Double  5's  and  4's  are also sometimes hard to play.  These tend to be 
less dangerous because after all the men are on the home board, remaining
moves can be played in more than one way.  It is still advisable to check
that they are safe.  Double  5's  are always safe if you have an even
number of men between the  5  and  9  points, and are sometimes unsafe if
this number is odd.  Double  4's  are always safe with an even number of men
between the  4  and  7  points, and otherwise may be unsafe.  The position
above is safe, by the even-number rule, against rolls of  5-5  and  4-4 .
 
Exercise:   Play a  1 .
↑












	4/3  makes  6-6  catastrophic.  12/11  makes  5-5  dangerous.
	6/5  is correct.
↑













	In a 9-point match,  X  has  6  ,  O  has  3 .  
	Should  O  redouble?
 
     Yes, even though he only has a  10/36 = 28%  chance of winning the game. 
If he loses the game without redoubling he would have to win the Crawford game
and three doubled games to win the match, so his chances are about  6% ;
redoubling only loses this small equity.  If he wins the game, redoubling
takes him from being still an underdog with about a  40%  chance to being in
the lead with about a  60%  chance.  His net gain in chance of winning the 
match is  28% times .20 - 72% times .06 , or  1.3% .  If  X  is the 
stronger player, the redouble is even more imperative.
PLAY AFTER CLOSING OUT ONE CHECKER -- THE RACE.
 
↑












     O  has seven checkers off, and is closed out;  X  has a near-perfect
position for bearing off safely.  Experience shows that this is a nearly
even game;  X  probably has a slight advantage, but if  O  enters before 
X  has safely removed about three checkers,  O  is a favorite.  It is
therefore important for  X  to avoid opening points until he has three
checkers off, even if he thereby increases the risk of being forced to
leave blots.  In fact, at times he may voluntarily leave a blot rather
than open another point.
 
     In the initial position these are my plays with each roll of the dice:
 
1-1  3/0 , 5/4		2-2  6/0 , 3/1		3-3  6/0 , 3/0 , 5/2
1-2  3/0		2-3  3/0 , 6/4		3-4  3/0 , 6/2
1-3  3/0 , 5/4		     or  5/0		3-5  5/0 , 3/0
1-4  5/0		2-4  6/0		3-6  6/0 , 3/0
1-5  6/0		2-5  5/0 , 6/4		4-4  4/0(2) , 6/2 5/1
1-6  6/0 , 3/2		2-6  6/0 , 3/1		4-5  5/0 , 6/2
						4-6  6/0 , 5/1
						5-5  5/0(3) , 6/1
						5-6  5/0 , 6/0
						6-6  6/0(3) , 5/0
 
     A typical game might proceed:
 
	   X			   O
	4-1:  5/0		----
	4-5:  5/0 , 5/1		6-6:  (0)
	1-1:  1/0 , 3/0		3-2:  (0)
	3-2:  6/1		               X  avoids opening up another
					       point by  3/0 , 3/1 ; his move
					       delays  O  and does not slow
					       X  up much.
				5-2:  0/5/7
 
     Now  X  needs, on the average, a shade under  6  rolls.  O  needs, on
the average,  2  rolls to get his back man to (say) the 21-point, then
3 & 1/2  more to bear off, for a total of  5 & 1/2 .  Since  X  is on roll,
the position is quite equal.
 
	6-5:  6/0 , 6/1		3-2:  7/12
	5-4:  4/0(2)		6-1:  12/19
	Doubles			Drops
		X  has rolled very well, and  O  poorly.
		If  O's  back man were on the 22-point he could take.
 
     An extensive stratified experiment (108 games) shows that if  O  owns the
cube, his expectation in Position (A) is about  -.22  of the cube.
 
     Other experiments show that if  O  has no more than  5  checkers off,  
X  should play for maximum safety.  On the other hand, if  O  has  9  or
more checkers off,  X  must take large risks if necessary.  For example,
 
↑















	X  to play  6-2 .
 
     Here  X  must open the 6-point.  If  O  rolls a  6 ,  X  is lost.  X  must
assume  O  will not roll a  6 , and play  6/0 , 2/0 .  When he has another
man or two off,  X  will pick up his blots, as he can hope to win even if
O  enters.
 
     If  O  has  10  or more checkers off, he can safely double from the bar.
If he has no more than  5  off,  X  should double and  O  should decline.
 
GETTING AN EXTRA CHECKER OFF BEFORE BEING CLOSED OUT.
 
     In Position (A) Dan Harrington, a strong Boston player, played  4/1 , 
4/off  to minimize the number of rolls that hit.
 
↑ (A)










		O  to play  4-3 .
 
     By this play, he will be hit in  11  games out of every  36 .  Of those, 
having seven checkers off, he will lose about  60% , or  6.6  games, and win  
4.4 , for a net score of
 
	25   gammons		50
	4.4  wins		 4.4
	6.6  losses	      -  6.6
				47.8  points.
 
     By playing  4/0 , 3/0 , he will be hit in  12  games out of  36 , but,
with eight checkers off, will lose only about  44%  of those, achieving a 
net score of
 
	24   gammons		48
	6.7  wins		 6.7
	5.3  losses	      -  5.3
				49.4  points.
 
     The expected gain from bearing one more man off is  (49.4-47.8)/36 = .04
in this position.  If  X  could not be gammoned the saving would be
2.6/36 = .08 .  It is usually correct to take a slight additional risk
(say, a  17  to  1  shot) in order to bear off an additional checker in
situations like this one, if you will then have  6  to  10  checkers off.
Outside this range, much depends on the gammon equity and the possession
of the doubling cube.
 
Example:
↑ (B)













		O  to play  4-1 .
 
     O  should play  4/0 , 4/3  to maximize his gammon chances.  If hit, he will
double  X  out, so he need not bear off an extra checker.
 
BREAKING POINTS, AGAINST OPPOSITION.
 
A Little Learning ...
 
     Position  A  arose in a recent low-stakes chouette.
 
(A) ↑











		O  to play  4-5 .
 
One of my partners remembered a similar position she had recently seen in
Magriel's book, probably like position  B ,
 
(B) ↑










		O  to play  4-5 .
 
where clearing the 8-point leaves  O  in danger if he then rolls  6-4 , 
6-5 , or 5-5 .  She urged playing  7/2 , 7/3 .
 
     I pointed out, or tried to, that the resulting gap on the 7-point was 
very dangerous because of  X's  men on the 5-point, in direct range.  My
partners, MOLTO CRESCENDO, became very agitated about the fact that  6-4
leaves a double direct shot; one said that a double shot is much worse
than a single shot.  I asked, "How much worse?  How many times worse is 
a double shot than a single one?"  She said, "I don't know how many times, 
I just know I don't want to leave a double shot."  Eventually the captain
yielded to majority sentiment, playing  7/2 , 7/3 ; the pressure to make
the move with which most of the players had identified their egos had
precluded taking time to count all the rolls that leave shots.
 
     Since you and I are under no such pressure, let's look at the two positions
O  can choose.
 
↑ (C)					(D)










	After  8/3 , 8/4			After  7/2 , 7/3
 
In position  C , the rolls to examine are those which do not clear the
7-point, i.e., those containing a  2  or  6 .  Those which can not be played
safely elsewhere are  6-3 , 6-4 , 6-5 , and  2-5 .  Each leaves a double shot
which is hit  20/36  of the time; the total chance of being hit is  
8 * 20 = 160  out of every  36 * 36 = 1296 .
 
     In position  D , the dangerous rolls which fail to clear the  8  point 
contain a  1  or a  3 .  They are  6-1 , 6-3 , 5-1 , 5-3 , 4-1 , and  3-1 .
Rolls which leave a single blot on the 8-point are  6-1 , 5-1 , 4-1 , and  
3-1 .  These are hit  15/36  of the time, by a combination of  11  direct 
and  4  indirect shots.  Worse are the rolls of  6-3  and  5-3 , which 
leave blots on both the 6- and 8-points.  These are hit by all direct  
1's , 3's , and  5's , or  27/36  of the time.  The total risk of being 
hit is  8 * 15 + 4 * 27 = 120 + 108 = 228  out of every  1296  rolls.
My partners were so concerned about the double shot in position  C , that
they did not look for the triple shot in position  D .  After his next
roll,  O  will be hit  68/1296 = 5%  more often in position  D  than
position  C , and, if not hit, the gap may continue to plague him.
 
     This position entails a conflict between two desirable goals; one of not
leaving gaps and one of safely breaking points at the holding distance of
six from an opponent's point.  Argument can not resolve such conflicts
about minimizing risk; a careful player will count the dangerous numbers.
 
     ... is a dangerous thing.  Drink deeply at the  ?  spring or not at all ...
 
     In Diagram (A),  O  is struggling to avoid being gammoned.  On his
next turn, he must bring in the man from the 10-point and bear off one man.
If he plays  10/9  now, he will need one die of  3  or more to bring the last
man in, and one of  2  or more to bear off.  These are exactly the rolls 
needed to bear off two men from the  3  and  2  points.  Any  1  misses,
for a total of eleven bad rolls.
 
     If he plays  2/1  now, he will need one roll of  4  or more to come in,
after which any roll bears off.  As in bearing off from the  4  and  1  points, 
only seven rolls fail.
 
     To minimize his risk, he must play  2/1 .  If the outside man were on the
9-point,  2/1  is again the correct play.  The expected gains and losses in  36
trials from playing  2/1 , depending on the location of the outside man, are:
 
	location   8   9   10   11   12   13   14   15   16
	gain	   0   8    4    0   -4   -9    0    0   -1
   
↑ (A)















		O  to play a  1 .
 
     Going back one roll, to Diagram (B), where the outside man is on the 
17-point,  O  with a  1  to play should move  2/1  if his next roll will
add up to  7  or  8 , but should play  17/16 if the next roll will total  
4  or  5 .  To decide the correct play, multiply the gain for each roll 
by the probability of that roll.
 
	roll             4	 5	 6	 7	 8
	probability	3/36    4/36            6/36    5/36
	gain	       -9/36   -4/36	 0	4/36	8/36
	product	        -27     -16              24      40
 
     The net gain of playing  2/1  is  24 + 40 - 27 - 16 = 21  every
36{2} = 1296  trials.  The same kind of analysis shows that the correct
play is found to be  2/1  if the outside man is anywhere from the  14-
to the 18-point.  On the 13- and 19-points, the conventional wisdom
of crossing over into a new board is upheld.
 
↑ (B)














		O  to play a  1 .
 
     Analogous situations arise when running with two men.  In Diagram (C),
O  should play  2/1  if the outside man is on the 8- to the 12-points.
 
↑ (C)















AVOIDING THE GAMMON --  (NEWPAPER COLUMN)
 
↑ (A)













		O  to play  6-3 .

     In Position (A),  O's  only concern is to avoid being gammoned; since 
X  will bear off in two more turns,  O   must try to go off in one more.  His
greatest danger lies in the gaps on the 4- and 5-points, so he should play
to bear a man off even if he rolls  4-4 , 4-5 , or 5-5 .  If he plays the
plausible  8/5 , 8/2 , a roll of  4-4  is disastrous, because he still has
four men on points higher than the  4 .  The correct play is  7-4 , 8-2 ,
guaranteeing a man off on the next play.  In such situations, playing to
the lower gap tends to be right.
 
↑ (B)














		O  to play a  1 .
 
     In Position (B), it is tempting to play  7/6 , but you should first 
look at the gaps on the 3- , 4- , and 5-points.  Rolls of  3-4 , 3-5 , and  
4-5  would be disastrous.  If you play  6/5 , no subsequent roll can prevent 
your bearing a man off.  Naturally, if you roll a  6-4 , you must play  
7/3 , 6/off , and similarly for  6-3 , but you know even without checking 
that the gap on the 6-point can't hurt you when there is only one man on 
a higher point.
 
WAIT OR RUN?
 
↑ (A)














		O  to play  5-1 .
 
     In this all-too-familiar situation,  O  can play  24/19/18 , conceding 
the gammon for an expectation of  -2 .  He should, however, hang back in the
hope of a shot.  The expectation is:
 
5	(2-2 or better):   -3
 
1	(1-1):   27  (6 or more):   -2
		  9  (5 or less):   -3
 		 = -2.25
 
20	(2-3, etc.; 2 men off):   23  (6 or more, no hit):   -2
				   2  (2-3):		     -3
				  11  (hit):		     -1
				      (-.88 if  O  owns the cube)
				  = - 63/36 = -1.75
 
10 	(1-2, etc.; 1 man off):   20  (O  hits and doubles  X  out(?)):  +1
				  16    -2
				  =  - 16/36 = -.44
 
= - 56.65/36 = -1.57 .
 
↑ (B)



 
     Removing a man from the 23-point,  O's  chances to win vanish.  The chance
of avoiding gammon by hitting must be balanced against the chance of a
backgammon.  The chance of avoiding the gammon is, at best,
10/36  (X  rolls a  1)  times  11/36  (O  rolls a  1)  =  .08 .
The chance of being backgammoned is at least  26/36 = .81 .  O  must run
if his roll totals  6  or more.
 
↑ (C)
      
    
    
    
 
     When  X  has  4  men on the 23-point, the chance of being backgammoned 
drops to about  5/36  (X  rolls  2-2 or better) + (26/36){2}  (X  goes off 
in  2) times  9/36  (O  rolls  5  or less)  =  .26 .  The chance of avoiding 
the gammon by a hit remains  .08 , since  O  must certainly run on his next 
turn.  Again,  O  must run.
 
↑ (D)
    
     
    
    
 
     
     Now if  O  runs, he can expect two more turns.  If all his other men are in
his home board, and he gets a typical 8-point roll, played  24-16 , he has a
good chance to avoid the gammon by running.  He needs  10  more pips to come
in, and an average of  2.5  pips to bear off.  His chance to get  12.5
pips in two rolls is  .85 .  The probability of going off in one roll is
3/36 = .08 .  The chance that  X  goes off in two rolls is about  10/36 ,
or  .27 .  By the usual convolutions,  O's  chance to avoid gammon is
.08 + .77 * .73  =  .64 , for an expectation of  -1.36 .
 
     Assume instead that  O  waits a turn.  His expectation is

10	(X rolls 1-2, etc.):	11/36  (O  hits):   -1
				25/36:        about -1.85
				= -1.44
 
5	(X rolls 2-2, etc.):	11/36  (O  hits):   -1
				25/36:              -2
				= -1.7
 
21	(X rolls 2-3, etc.):	O's  chance to avoid a gammon by running is
				about  21/36  (X  goes off in  2)  times
				.2  (O  goes off in  2)  =  .17 , for an
				expectation of  -1.83.
 
= 61.33/36 = -1.7 .
 
Again,  O  must run.  If he has several men still outside, however, he
should probably bring them home and hope for a shot even if he must waste
pips.

↑ (E)
     
     
     
     
    
    
 
     Here, assuming all  O's  other men are home, his expectation on running is
almost exactly -1 .  If he waits one turn, his expectation becomes
 
	.08  (he hits on his next turn):  at best,  +1
	.92  (missing, he runs):		    -1.36
 	= -1.33
 
Again, running is preferable.
 
RULE:  If  X  has  8  or more men,  O  can afford to wait without serious risk
of a gammon.  Otherwise,  X should wait only if  O  has  3  men on the 2-point.
 
ACE-POINT RACES.
 
     Occasionally, toward the end of a running game, both players will have
checkers remaining only on their 1-points.  More often, they come down
to positions which play as if all the checkers were on the 1-points.  Take
this position, for example,
 
↑ (A)













     The only combinations of rolls which fail to bear  X  off as fast as 
they would if all the checkers were on the 1-point are  1-1  preceded or
followed by  1-2 , 1-3 , 1-4 , 1-5 , or  1-6 , a total of  20  rolls
out of  1296 .  For  O , only rolls of  2-1  preceded or followed by
1-1  are worse than they would be if he had five or six checkers on the 
1-point, a total of  4  rolls out of  1296 .  As a practical consequence, 
correct doubling strategy for this position is identical to that where 
all the checkers are on the 1-point.
 
     We now look at the calculation of expectations for all such ace-point
races.  The reslts are summed up in the tables on page ---.  We use
E(A,B)  to mean the expectation when the player has  A  checkers and
the opponent has  B  checkers left.
 	
	If  A = 2 :  The player must win and  E = 1.00 .
	If  A = 4 , B = 2 :  Neither player can usefully double, so
		     E[+] = E[0] = E[-] = E .
        	E = 1/6 . +1 + 5/6 . -1 = -.67 .
	If  A > 4 , B = 2 :  E = -1 .
 
     A partial table of expectations can now be filled in:
 
	  B      2      4      6      8
	A
	2	1.00   1.00   1.00   1.00
	4      - .67
	6      -1.00
	8      -1.00
 
     To fill out more of this table, let us now look at  A = 4 , B = 4 .
First consider  E[0W] ,the expectation if the player waits rather than 
doubling.  In  5/6  of the plays, the player takes off two checkers, 
resulting in  E{*}[0](2,4) = -E[0](4,2) = .67 ; in the other  1/6  of 
the plays, the player takes off four checkers, resulting in  E(0,4) = 1.00 ; 
the weighted average is
 
	5:   .67 
	1:  1.00  
	= .72
 
This is also the value of  E(4,4)  and  E[-](4,4) .  On the other hand, to
double gives the player the expectation  E[0] = min(1, 2.E[-](4,4)) =
min(1,1.44) = 1 .  It is therefore correct for the player to double and
the opponent to drop.  Thus  E[0](4,4) = E[+](4,4)= 1.00 .  Obviously,
if  A = 4  and  B > 4 ,  E = E[-] = E[0] = E[+] = 1.00 .
 
     When we get to  E[0](8,8) , it is no longer correct for the opponent to 
drop a double.   If he accepts, the player's expectation is
 
	2 * E[-](8,8) = 2 *  5:  E{*}[-](6,8)
			     1:  E{*}[-](4,8)
	  = 2 *       =
 
Since this is less than  1 , the opponent should accept the double.  
Continuing in this fashion, all the numbers in the table may be filled in.  
The equations governing the table are these:
 
	E(O,B) = E[-](O,B) = E[0](O,B) = E[+](O,B) = 1.00
	E(A,O) = E[-](A,O) = E[0](A,O) = E[+](A,O) = -1.00
	E[-](A,B) =  5:  E{*][-](A-2,B)
		     1:  E{*}[-](A-4,B)
	E{*}[C](A,B) = -E[-C](B,A)
	E[+][0](A,B) =  max(E[+][0W](A,B) , E[D](A,B))
	E[+][0W](A,B) =  5:  E{*}[+][0](A-2,B)
		         1:  E{*][+][0](A-4,B)
	E[D](A,B) = min(1, 2 * E[-](A,B))  .
 
     A computer was programmed to do the arithmetic implied by these equations,
although the tables could be obtained by hand in a few hours of patient
calculation.  The tables indicate that if  A < B , the player should always
double or redouble; if  A = B , he should double; and if  A = B <= 8 , he
should redouble.  The opponent should take if  A = B >= 8 .
 
     Positions closely related to ace-point race positions can be analyzed by
reference to expectations in ace-point races.  Take this position:
 
↑ (B)















     If  O  doubles, should  X  take?  It would be a drop if  O  had all six
checkers on the 1-point since  2 * E[-] = 1.16 .  Here, however,  O  can
miss with a  1-2 , and be redoubled out of the game.  Thus in two cases
out of  36 ,  O's  expectation is changed from
2 * E{*}[-](4,6) = 2 * -E[+](6,4) = 2 * .49 = .98  , which it would be in 
an ace-point game, to  2 * -1 .  The net change in  E[D]  resulting is
2/36 * 2.98 = .17 ;  2 * E[-] = 1.16-.17 = .99 , and it is correct for  X
to take.  Naturally, it is correct for  O  to double; he will seldom find
a position so close to the ideal doubling point  E[-] = .5 .  (We have failed
to consider a few other rolls, like an initial  2-2  for  0 , which do not
play as well as they would if all checkers were on the 1-point; the roll of
2-1  is the only one which makes a major difference in the expectations.)
 
     If the odd checker in the previous position is moved to the 4-point:
 
↑ (C)















     O  can miss with rolls of  1-2 , 1-3 , and  2-3 .  This reduces the 
expectation after doubling,  E[D] , to  1.16 - (6/36 * 2.98)  = .66 .  
If instead  O  waits, his expectation is 
 
	6:	-1
	4:	E{*}[0](2,6) = +1  {double  1's , 4's , 5's , 6's}
       26:	E{*}[0](4,6) = .72
	= .46
 
so even this position is a double.

     Over the board, one could try to make a correct decision on doubling by
estimating  P .  In a 3-roll ace point race,  P = .79 .  In Position (C), 
however, six bad rolls give the opponent  P = .79 , for a shift of about 
.79-.21 = .58 ; thus  P  is close to  .79-(6/36 * .58) = .69 .  The
rule of thumb for doubling at  T  turns,  P >= .8 - .3/(sqrt T) , with
T = 3 , gives  P >= .63  as the doubling threshold, so a double is
plausible. 

     If the back checker is on the 5-point,
 
↑ (D)













     O  misses with twelve rolls:  1-2 , 1-3 , 1-4 , 2-3 , 2-4 , and  3-4 .  
The expectation after doubling is  1.16-(12/36 * 2.98) = .17 .  If he waits, 
his expectation is at least half this, or  .08 .  In addition, if he waits, 
rolls a number which takes two checkers off  (21/36)  and  X  fails to roll 
doubletons (30/36) , his expectation is better by  
E[0](4,4) - E[-](4,4) = 1 - .72 = .28 , for a net gain of  
21/36 * 30/36 * .28 = .14 ; thus  E[D] = .17 , but
E[W] >= .08 + .14 = .22 , and waiting is correct.
 
DOUBLING THEORY -- DOUBLING ON A KEY ROLL.
 
     Suppose the next roll will certainly decide the outcome of the game. 
Naturally, if your chance  P  of a favorable roll is greater than  .5 ,
you should double.  If you don't double,  E  is  2 * (P-.5) ; if you do,
E is  min(4 * (P-.5),1) .  In the range  .5 <= P <= .75 , you gain
2 * (P-.5)  by doubling, whether or not you own the cube.
 
     In most late game situations, however, victory is not so certain.  Perhaps
the roll that favors you will allow your opponent to play a well-timed ace
point back game, so your probability will be about  .8 .  Perhaps the roll
that favors your opponent will still allow you one more direct shot, giving
you a probability of  .3 , or perhaps you will find yourself in an unfavorable
race, with a normalized lead of  -.8  or  -1 , and a probability of  .2  or
.15 .  We will analyze several simplified versions of this kind of situation,
and determine the correct doubling decision.  In this situation:
 
	P =	.7  (my good roll)	.8  (game goes well):     1
					.2  (game goes badly):    0
					.8

		.3  (my bad roll)	.2  (game goes well):     1
					.8  (game goes badly):    0
					.2
		= .56 + .06 = .62

	E = 2 * P-1 = .24

so I have a definite lead.  If I double, my expectation is  
2 * E[-] = 2 * (.7 * .6 + .3 * -1) = .24 .  If I leave the cube in the 
center, my expectation is  E[0W] = .7 * 1 + .3 * -1 = .4 .  If I own
the cube, my expectation is  E{+W} = .7 * 1 + .3 * -.6 = .52 .
I lose  .16  units of equity by doubling,  .28  units by redoubling.  As
a rough rule of thumb, it is unwise to double on  P < .65  unless the cube
will be of no further use to either player.
 
     If my good roll has probability  .8 , with everything else the same,
2 * E[-] = .56 ,  E[0W] = .60 , and  E[0+] = .68 , so I should still wait,
even though  P = .68 .
 
     If, however, the probabilities are these:
 
	P =	.7  (my good roll)	.9  (I win)
					.1  (I lose)
					= .9

		.3  (my bad roll)	.1  (I win)
					.9  (I lose)
					= .1
		.66

we get 
 
	2E[-] = 2(.7 * .8 + .3 * -1) = .52 ,
	E[0W] = .7 * .1 + .3 * -.1 = .4
	E[+W] = .7 * 1 + .3 * -.8 = .46
 
and a double, or redouble, has a positive payoff, even though  P  is only
.7 * .9 + .3 * .1 = .66 , less than in the previous situation.
 
     The reason for this seemingly paradoxical result is that the advantage 
of an immediate double is zero if, after your favorable roll, your opponent
would still take a double.  If  P[1] > .75  is your probability of winning
after a favorable roll, your gain in expectation from having doubled is
2 * (P[1]-.75) .  In the first two examples,  P[1]  was  .8 , and the gain
from an early double, assuming a favorable roll, was only  .2 .  If  P[2]
is the probability of the opponent winning after an unfavorable roll, your
loss in expectation from having doubled is  1  if  P[2] > .75 , and
4 * (P[2]-.5)  otherwise, when the opponent redoubles.  The moral of this
analysis is, that, if your opponent will still take a double after your
favorable move, you should always wait.  If  P[1] = .8 , you should have
at least a  5/6 = .83  chance of a favorable roll to double, and more to
redouble.  If  P[1] = .9  and  P[2]  is large, you might double with as
little as a  .625  chance of a favorable roll.

     As applied to common late game board situations, in the absence of 
gammon chances, never double if the opponent has a good holding point,
such as his bar point against your midpoint.  Don't double on the
prospect that the opponent will play an ace-point back game if he has as
much as one chance in six of an immediate reversal.
 
DOUBLE OR WAIT?  COUNT THE KILLERS.
 
     Suppose that you and your opponent are bearing off in a five-roll 
situation.  Most of the men are on low numbered points, so you are counting 
men, not pips.  Your positions are very similar, but you have the advantage 
of the roll.  You are thinking about doubling.

     Your chance of winning is enough to justify a double.  Your opponent can 
win only by rolling a doubleton (ignoring misses for the moment), and in a five
roll situation, his chance of a doubleton on his first four turns is
 
	1 - (5/6){4} = 1 - 625/1296 = 671/1296 = .52 .

If he gets a doubleton, you may also get one.  Even if he gets one on his
first roll, you get to roll twice before being doubled out.  Your chance for
failing to get a doubleton, assuming that on the average you will get three
rolls before being doubled out, is

	(5/6){3} = 125/216 = .58 .

To win, he must get a doubleton and you must not; his chance to win is
.52 * .58 = .30 .  This is small enough that you intend to double him, but
large enough that he must take.

     To decide between doubling and waitingone more roll, you have to look 
at three possibilities which arise before your next chance to double, and 
which affect the desirability of the double:

(1)	You and your opponent may each bear two men off on your next rolls.
(2)	You may get a doubleton, or your opponent may miss an essential
	bearoff, leaving you with such a strong position that your opponent
	will no longer accept a double.
(3)	You may miss an essential bearoff, or your opponent may get a
	doubleton.  When your turn comes again, you will no longer be
	thinking of doubling.  Rather, you will be hoping to roll a 
	doubleton before you yourself are redoubled out.

     Let's look at the profit and loss figures on each of these situations,
depending on whether you double or wait.

     In the first situation, which happens most of the time, the outcome is
exactly the same; whether you double this turn or next has no effect on the
dice, the positions, and your opponent's acceptance of the double.
Situation (1) therefore doesn't have any effect on your decision whether to
double.
 
     The second situation favors an immediate double.  You become virtually 
certain to win, and if you wait you only win one point.  Had you doubled 
immediately, you would expect two points (actually about  2 * .96* = 1.92  
[footnote:  All starred numbers come from the table in the Appendix.]  points, 
taking into account the possibility of a small miracle), for a net profit of  
.92  points.

     On the other hand, the third situation would make you regret an immediate
double.  You become an underdog, with your expectation being about
2 * -.75* = -1.5  points.  Had you waited, your expectation would be
-.71*  points.  An early double loses you  .79  points of equity in the game.

     Putting this all together, the profit you can expect to make from doubling
early, if you play this position  36  times, is  .92  times the number of
rolls which kill your opponent, minus  .79  times the number of rolls which
kill you.

     This, then, is the way to decide.

(A)	Count the rolls which kill your opponent, either by speeding you up
	one roll, or by slowing your opponent down one roll.  These are
	your killer rolls.
(B)	Count the rolls which kill you, either by slowing you down one roll,
	or by speeding your opponent up one roll.  These are your opponent's
	killer rolls.
(C)	Unless your opponet's killer rolls, multiplied by  .79/.92 = .86 ,
	about  6/7 , outweigh yours, you should double immediately.

This is the Killer Rule.  It applies in non-contact bearoff positions, from
five- to seven-, with the cube in the center, when you have the advantage 
of being on roll in otherwise nearly equal positions.  The rule can be 
adapted to three- and four-roll situations as well.

     We have assumed a 5-roll position.  Let's see how much difference being in
a 7-roll position makes.

     In a 7-roll position, the profit from doubling before a move which kills 
your opponent is  2 * .86* - 1 = .72 ; the loss by doubling before a move which 
kills you is  -(2 * .58 - .51) = -.66 ; in this situation your opponent's
killers are worth  .66/.72 = .92  times as much as yours.  Ordinarily you
double if the killers are equal, but not if your opponent has more assassins
looking for you than you have for him.
 
     Let's try the Killer Rule on a few actual positions.

(A) ↑















     
     Here you  (X)  don't even have to think.  The positions are identical, you
have the same number of killers as your opponent, and you should double
immediately.

(B) ↑














     Here you  (X)  have only two killers,  6-6  and  5-5 ; nothing else takes 
off four of your men, and even if your opponent rolls  1-2 , he is still very 
much in the game, because missing once does not kill him.

     Your opponent, however, has a number of killers which take three or four 
men off and leave him in a sound three-roll position:  6-6 , 5-5 , 4-4 , 3-3 ,
and 2-2 .  Even  1-1  is dangerous.  Comparing your two killers to  .86  of
his five, you are ougunned and should keep a low profile, at least until
the next turn.  If it were  O's  turn in the same position, he would double
with great speed, and  X  should drop.
 
(C)↑















(D)↑














     In position (C),  X , who is five pips ahead, can be killed by his own 
rolls of  3-2  and  3-1 , and by  O's  rolls of  6-6 , 5-5 , and  4-4 , for a 
total of seven rolls;  O  can be killed only if  X  rolls  6-6 , 5-5 , or
4-4 , totalling three rolls.  X  must wait to double.  If we move some of
X's  men back five pips, we get position (D), in which each player has the
same killers and  X  should double right away.

     You might think  X's  postion in (C) is worse than that in (D), because of
the gap on the four point.  An experiment, bearing off from both positions
using the same rolls  72  times, shows that the position in (C) is actually 
better, bearing off faster by a total of  4  rolls in  72  tries.  The only
likely dangers to  X , in (C), occur on his first turn, and he can afford to
wait until he is past them to double.  In (D) he must double right away; if
he waits until he is past all danger he will probably score only one point.
As this example illustrates, the Killer Rule is not based on your eventual
likelihood of winning; it is based only on what could happen before your
next chance to double.
 
     What about the Killer Rule when you already own the cube?  We can go 
through the same argument, but this time the numbers are different when your 
opponent gets a killer.  Had you waited to redouble, your possession of the 
cube would give you an expectation of  -.36*  of the cube's original value.  
Had you redoubled early, your expectation would be  2 * -.75* = -1.50 .  
The cost of an early redouble, when your opponent rolls a killer, is therefore 
1.14  times the value of the cube.  His killers are worth  1.14/.92 = 1.24 , 
or about  5/4 , as much as yours are.  This gives us the Killer Rule for
redoubling:
 
	Don't redouble unless your killer rolls outnumber your opponent's
	by  5  to  4 .

     In positions (A) and (B),  X  should not redouble.  In position (B), if it
is  O's  turn, he should redouble quite happily.

     The Killer Rule does not apply directly to four-roll situations.  The 
reason is that ordinarily, the four-roll situation is the last one in which your
opponent will take your double.  If neither player rolls a killer, you will
double your opponent out, but you would prefer that he owned the cube at two;
your equity would then be  2 * .58* = 1.16 , rather than  1 .  Because of
this, you should double a shade more aggressively in four-roll bearing off
positions.  For example,  X  should double in position (E):

(E) ↑














with only three killers to his opponent's six.  If each rolls a  5-2 , say,
O  will no longer be interested in accepting  X's  double.  X  could even
redouble, in position (E); he no longer has much reason to fear  O's
possession of the cube.

     Summing up:
The Killer Rule applies in 5- to 7-roll checker counting bearoff situations,
where you are considering doubling.
 
     Your killer rolls are the rolls which speed you up by a full turn, or slow
your opponent down by a full turn.  Your opponent's killer rolls are those
which speed him up by a full turn, or slow you down by a full turn.  If you
have more killer rolls than your opponent, you should usually double or
redouble.  If you have fewer killer rolls than your opponent, you should
usually refrain from doubling.  If you are even in killers, you should
usually double but not redouble.  The exceptions:

(1)	If you have more than  6  killer rolls, double even if your opponent
	has one more than you do.
(2)	If your opponent has more than  4  killer rolls, don't redouble unless
	you have two more than he has.
 
			APPENDIX
 
This table shows your expected winnings, using the current value of the cube
as the unit, depending on the number of men you and your opponent have to 
bear off from low points, and on the location of the cube.  It is assumed to 
be your turn.  In each position, the three numbers represent, from top to 
bottom, your expectation with the cube on your opponent's side, in the center, 
and on your side.  For example, if you have  9  or  10  men, and your opponent 
has  7  or  8 , your expectation is  -.70 , -.65 , or  -.26  times the cube 
depending on whether the cube is your opponent's, in the center, or yours.

    			Opponent's Men
Your	1-2     3-4     5-6     7-8     9-10    11-12   13-14     15
men
	 1.00    1.00    1.00    1.00    1.00    1.00    1.00    1.00
1-2	 1.00	 1.00	 1.00	 1.00	 1.00	 1.00	 1.00	 1.00
	 1.00    1.00	 1.00	 1.00	 1.00	 1.00	 1.00	 1.00
 
	- .67	  .72	 1.00	 1.00	 1.00	 1.00	 1.00    1.00
3-4	- .67	 1.00	 1.00	 1.00	 1.00	 1.00	 1.00	 1.00
	- .67	 1.00	 1.00	 1.00	 1.00	 1.00	 1.00	 1.00
 
	-1.00	- .72	  .58	  .96	 1.00	 1.00	 1.00	 1.00
5-6	-1.00	- .72	 1.00	 1.00	 1.00	 1.00	 1.00	 1.00
	-1.00	- .49	 1.00	 1.00	 1.00	 1.00	 1.00	 1.00
 
	-1.00	-1.00	- .75	  .46	  .92	  .99	 1.00	 1.00
7-8	-1.00	-1.00	- .71	  .92	 1.00	 1.00	 1.00	 1.00
	-1.00	- .95	- .36	  .92	 1.00	 1.00	 1.00	 1.00
 
	-1.00	-1.00	-1.00	- .70	  .36	  .86	  .98	 1.00
9-10	-1.00	-1.00	-1.00	- .65	  .73	 1.00	 1.00	 1.00
	-1.00	-1.00	- .90	- .26	  .75	 1.00	 1.00	 1.00
 
	-1.00	-1.00	-1.00	- .99	- .58	  .29	  .81	  .97
11-12	-1.00	-1.00	-1.00	- .99	- .50	  .59	 1.00	 1.00
	-1.00	-1.00	- .99	- .83	- .19	  .65	 1.00	 1.00
 
	-1.00	-1.00	-1.00	-1.00	- .96	- .51	  .25	  .77
13-14	-1.00	-1.00	-1.00	-1.00	- .95	- .41	  .51	 1.00
	-1.00	-1.00	-1.00	- .98	- .78	- .15	  .59	 1.00
 
	-1.00	-1.00	-1.00	-1.00	-1.00	- .94	- .46	  .22
15	-1.00	-1.00	-1.00	-1.00	-1.00	- .93	- .35	  .45
	-1.00	-1.00	-1.00	-1.00	- .96	- .73	- .13	  .54
 
     Where do these numbers come from?  They can be calculated readily, starting
from the upper left.  For example, with  10  men each and the cube on your
side, the table gives  .75 .  This reflects the fact that  5/6  of the time
you take off  2  men, giving your opponent an expectation  -.70 , and  1/6
of the time you take off  4  men, giving your opponent an expectation of
-1.00 .  His average expectation after your move is 
5/6 * -.70 + 1/6 * -1.00 = -.75 , and his expected loss is your expected gain.
 
↑













		O  to play  6-1 .

     It is tempting to play  16/10/9  in the diagrammed position, for several
reasons.  It is quicker to move one man than two.  The move to the 9-point
hastens bearing off.  The alternative  16/10 , 2/1  wastes a pip on low
points.

     These reasons are all irrelevant to winning.  O  will probably win unless
he leaves a blot and is hit, in which case he will probably lose.  The only
important difference between the two moves is that  16/10/9  leaves  O  with
no safe way to play  6-4  or  5-5 .  By plaing  16/10 , 2/1 ,  O  can be
forced to leave a blot only by  6-6  and  6-5 , which are bad in any case.

     When you are stripped on the higher numbered points of your home board, you
are in danger, even if you still have a man in your outer board.  Take a
little time to plan what to do if the next roll is large.  Backgammon is a
race, but it is not just a race.

Problem: 
↑














		O  to play  4-4 .
 
Answer:   20/12/8/4  guards against rolling a  6-4 .  Keep your spare men
in the home board on high points for flexibility.
 
     (Rearrange above problem so both men must be moved -- e.g. outside men on
13  and  8 , to play a  6-4 .
 
A NEWSPAPER COLUMN -- 3 MAN BEAROFF. 
 
     With  3  checkers to bear off, you can afford to miss once.  If you expect
to have two turns, you should play to avoid missing twice.
 
(A) ↑					(B)↑















     In position (A), every roll takes at least one man off.  The worst roll,
1-2 , leaves  O  on the  5  and  2  poins, with a  19/36  chance of coming
off on the next roll.  In position (B), a  2-3  roll is catastrophic.
While there are rolls (like  1-2  followed by  4-2 ) which play better in
position (B), (A) is  1%  more likely to bear off in two turns and just as
likely as (B) to bear off in one turn.  Therefore, if you have a  6-5  to 
play in this position,

(C) ↑














the best play is  10/5/0 , leaving you with position (A) on your next turn.
The rule in such situations is to look at the gaps in your board (in this
case  2  and  3 ) and make sure you can bear a man off if both your dice fall
in the gaps.  This is a good rule whenever you have an odd number of men,
with a small pip count, and are ahead in the race.
 
Exercise:  How should  O  play a  1 ?

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Answer:   2/1  makes  2-3  catastrophic.  4/3  makes  1-4  catastrophic.
6/5  is correct.
 
A 5-ROLL, PIP COUNT, DOUBLING SITUATION.
 
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 		Should  O  double?
 
     Definitely.  In fact,  X  only barely has a take.  An experiment using the
same dice rolls for both sides  36  times found that  O  came off in  3
rolls  3  times;  4  rolls  11  times;  5  rolls  15  times;  6  rolls 
7  times.  The corresponding numbers for  X  were  3 , 7 , 16 , and  9 ;
once,  X  came off in  7  rolls.  The chance that  X  wins, in  36 * 36
tries, is  3 * (11 + 15 + 7) + 7 * (15 + 7) + 16 * 7 = 365 ; the
probability for  X  is  .28 ; that for  O  is  .72 .  A good rule of thumb
for doubling in running games with  T  turns to go is to double if your
chance to win is  .8 - .3/(sqrt T) .  Here  T  is  4.7 , and the doubling
threshold is  .8 - .3/2.2 = .66 , so  O  should certainly double.

     Over the board, I would base a double on this pip count formula:  is my
lead, in pips, greater than  (my pip count/8)-3 ?  Here my pip count is
32 , my lead is  2  pips, and the answer is yes.  Were  X's  position
identical to  O's , a double would probably be premature.
 
A 3-ROLL DOUBLE.
 
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 		X  doubles.  Should  O  take?
 
     It is not likely that anyone could work out the exact odds for  O  to win,
over the board.  It isn't necessary.  Barring a miracle  6-6  for  O , or
repeated  1-2's  for  X ,  O  can win only if he goes off in two turns and
X  goes off in three.  If  P  is the probability that  O  goes off in three
turns, the probability that  X  does not go off in two is  1-P , and  O's
probability of winning is  P(1-P) , which is at its largest value,  .25 ,
when  P = .5 . 

     Accepting the double can not be profitable.  In a situation where each 
player will be off in either two rolls or three, it is never advisable to take
a double unless your board is better than your opponent's.  If the man on  O's
6-point were on the 4-point instead,  O  would have a definite take; he 
would be a slight favorite to be off in  2 , and  X  would not.
 
AN END GAME DOUBLE.
 
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		X  doubles.  Should  O  take?

     If all the checkers were on the 1-points,  O  would have a definite take.
Here, however, doubletons, the underdog's weapons, are not so helpful.  Only
3-3 or better will help  O  on his first turn;  1-1  will never help him.
On the average, only about  4 & 1/2  of the  36  rolls help  O  on each turn.
While  X  has the same problem,  X  expects to win without doubletons.

     Let's look at the ways  O  might win the game, using  X2  as a shorthand
for  X  bearing two men off.  The only ways  O  can win, with their
probabilities, are:

	 X2 ;  O4 ;  X2 ;  O doubles; X drops.
	.88 * .12 * .88  =				.093
 
	 X2 ;  O4 ;  X4 ;  O4
	.88 * .12 * .12 * .12  =			.002
 
	 X2 ;  O2 ;  X2 ;  O4 ; X2
	.88 * .88 * .88 * .12  =			.072
 
	 X2 ;  O2 ;  X2 ;  O2 ;  X2 ;  O4
	.88 * .88 * .88 * .88 * .88 * .12  =		.063
 
	 X4    O4    X2    O4				.002
							.232

With less than a  25%  chance,  O  must drop.  Move an  O  checker from the
3-point to the 1- or 2-point, and  O  has a take.
 
     The moral:  in a 4-roll situation, with equal positions, and no likelihood
of your opponent missing, don't take a double unless at least five of your
doubletons are winners.
 
NEWSPAPER FILLER -- A 2-ROLL DOUBLE. 
 
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		X  doubles.  Should  O  take?

Emphatically yes.  If  X  rolls  1-3 , 1-4 , 2-3 , 2-4 , or  3-4 ,  O  will
redouble  X  out, so  O  has at least a  10/36  chance.  Additionally,
possession of the cube gives  O  substantial equity if  X  should roll  1-1 ,
1-5  or  1-6 .  On the other hand,  X  was correct to double, for, if  X
rolls a  5-2  or better  (19  rolls), his expectation is doubled, from
28/36  to  56/36 .
 
↑














		Should  O  double?  Should  X  take?
 
Look at the second answer first.  If  O  rolls a total of  5  or less 
(9  rolls) the best thing to do with it is to play to the  4-5  points.
Then  X  doubles  O  out.  So it is a clear take.
 
If  O  doubles, rolls of  5  or less lose.  Rolls of  6  play, at best,
to the  5-3 , where  X  doubles, and  O  has only a bare take.  So  O
has  13  losing rolls.  A roll of  7 , played to the  5-2 , leaves  O
a slight underdog.  A roll of  8 , played to the  5-1  or  4-2 , leaves
O  a slight favorite.  Thus there are  11  neutral rolls.  The twelve
rolls of  9  or more are likely, but not certain, winners.  In short,
if  O  doubles, he has a negative expectation.  If  O  waits, then rolls
1-6 , 3-4 , or any  8 , 9 , or  10 , his access to the cube will increase
his expectation by  4/36 , 18/36 , 10/36 , and  4/36  respectively
(X  will have doubled him in the first case).  This is a much better use
to make of the cube.
 
↑














Now  O  has only  9  losing rolls  (5  or less), and  17  winners.  X  still
has a definite take, considering that he may roll doubletons.  To estimate
O's  chances, treat  44 , 55 , and  66  as quick winners, rolls of  6  or
less  (9  of them) as more likely than not to lose, and the other  24  rolls
as likely winners.  His total chance to win is roughly
4/36 + 6/36 * 24/36 = 24/36 = .67 , a shade over the  .65  we recommend for
a two-roll double.

↑














This is a definite double for  O , of course.  The hard question to answer
over the board is whether it is a take for  X .  Let us divide the number
line between the two players in proportion to their winning chances.

	|---------------------------------------|
	0					1
 
First we give  4/36 = .11  to  O , for the possibility of immediately rolling
33  or better.
 
					    O
	|--------------------------------|------|
					.89

We also give  5/36 = .14  to  X , who can effectively double  O  out if  O
rolls a total of  3  or  4 .

	   X				    O
	|------|-------------------------|------|
	      .14			.89

Of the remainder, we give  1/6  to  X  for doubletons.

	   X      X
	|------|------|------------------|------|
	      .14    .26          	.89

Already  X  has more than  .25 , so it is a clear take in a money game.  For
the rest, of  O's  27  initial rolls not already discussed, half the  5's
(i.e.,  2  rolls) and a quarter of the  6's  (one roll) lose; we give  X
3/27  of the remaining segment of the line, the rest to  O .

	   X      X     X     O             O
	|------|------|----|-------------|------|
	      .26    .33

With a little practice, this method of dividing the line, remembering as
you go the endpoints of the no-man's-land in the middle, can be used over
the board to decide whether to take a double when several rolls remain to
be played.