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Steve writes
Once I had understood the scoring systems I realised that I needed to look at the chances of winning based on whether I reached deuce or not. Let V be the event of victory in the the overall game and D the event of reaching deuce (3 points all) and P_0, P_1 andP_2 the probability of winning the game whilst losing 0, 1 and 2 points respectively.
P(V) = P_0+P_1+P_2+ P(V|D)P(D)
P_0, P_1 andP_2 correspond to games of 4, 5 and 6 points respectively. Each of these must end in a winning point (denoted W). The number of such games equals the number of ways of distributing 0, 1 and 2 lost points (denoted L) amongst 3, 4 and 5 points. The game reaches deuce if 6 points are played with 3 Ws and 3 Ls. The number of such games equals the number of ways of distributing 3 Ls into 6 points. Since each point is won or lost independently of the other points the probabilities multiply. Therefore,
P(V) = (0.6)^4\cdot 1 + (0.6)^4(0.4)\cdot 4 + (0.6)^4(0.4)^2\cdot \frac{5\cdot 4}{2}+P(V|D)\cdot(0.6)^3(0.4)^3\cdot\frac{6\cdot 5\cdot 4}{3\cdot 2}
I now need to use conditional probability to work out the chance of winning given that I reach deuce
The red dots on this tree indicate branches where the probability of winning equals the probability of winning given that I am at deuce P(V|D) and the blue dot is a victory V.
P(V|D) = (0.6)^2 + (0.6)(0.4)P(V|D)+(0.4)(0.6)P(V|D)
which can be rearranged to
P(V|D) = \frac{(0.6)^2}{1-2(0.6)(0.4)}
Putting all of this together yields a probability of victory of
P(V) =(0.6)^4\left[ 1+ 4(0.4)+10(0.4)^2\right] +\frac{20(0.6)^5(0.4)^3}{1-2(0.6)(0.4)}
This equals 0.736 (3dp). I left the probabilities in so that I could check the calculation by replacing the 0.6 and 0.4 by 0.5. In this case, I get 0.5, which makes sense (even players have an even chance of winning in this set of game rules). I also get a guaranteed victory by changing the 0.6 to 1 and setting the 0.4 to 0, which also makes sense (you will win if you win every point!)
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For the second part of the problem I used a spreadsheet. It was inefficient, but displayed the probabilities clearly. After a bit of thought it is clear that the P(V|D) depends on whether deuce was reached on a W or on a L. I'll need two new events D_W and D_L for these cases.
We now have
P(V)= P(V|\bar{D})P(\bar{D})+P(V|D_L)P(D_L)+P(V|D_W)P(D_W)
There is a fun pair of linked trees for the P(V|D) - in the diagram the red circles represent P(V|D_W) and the yellow circles represent P(V|D_L). Reading off the probabilities gives a pair of simultaneous equations:
P(V|D_W) = (0.8)^2+(0.8)(0.2)P(V|D_L)+(0.2)(0.4)P(V|D_W)
P(V|D_L)=(0.4)(0.8)+(0.4)(0.2)P(V|D_L)+(0.6)(0.4)P(V|D_W)
This gives P(V|D_W) = 0.792 (exact value \frac{80}{101}) and P(V|D_L) = 0.554 (exact value \frac{56}{101})
Using this piece of conditional probability to simplify the numerical analysis I then used a spreadsheet (Tennis.xls ) to calculate that
P(D_L) = 0.0755, \quad P(D_W) = 0.0947
Using this I calculate the chance of victory as
P(V) = 0.7364
For Bryony the numbers are
\begin{eqnarray}P(V|D_W) = 0.753\\P_(V|D_L)= 0.423\\P(D_L) = 0.0857\\P(D_W)= 0.0646\\P(V) =0.7383\end{eqnarray}
So, the players are very evenly matched.
You can check the results on this spreadsheet: Tennis.xls
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