Tennis Match of Probability Part 1

Peter and Jacob are playing a match of tennis. The rules of the match state that the first player to win 4 games is the winner of the match. Peter has a 70% chance of winning a game, leaving Jacob with a 30% chance of winning a game. What is the probability as a percentage that Peter will win the match?

Part 2


The answer is 87.3964.

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1 solution

Jesse Li
Feb 9, 2019

There are 4 ways Peter can win the match:

  1. Jacob wins 0 games

  2. Jacob wins 1 game

  3. Jacob wins 2 games

  4. Jacob wins 3 games

The probability of Peter winning 4 games with Jacob winning 0 games is ( 0.7 ) 4 {(0.7)}^4 .

If Peter wins the match while Jacob wins 1 game, then 5 games are played in total. The last game has to be won by Peter, so there are 4 possibilities for the game Jacob won. Therefore, the probability of Peter winning the match with Jacob winning 1 game is 4 × 0.3 × ( 0.7 ) 4 4 \times 0.3 \times {(0.7)}^4 .

If Peter wins the match while Jacob wins 2 games, then 6 games are played in total. The last game has to be won by Peter, so there are ( 5 2 ) = 10 {5 \choose 2} =10 possibilities for the 2 games Jacob won. Therefore, the probability of Peter winning the match with Jacob winning 2 games is 10 × ( 0.3 ) 2 × ( 0.7 ) 4 10 \times {(0.3)}^2 \times {(0.7)}^4 .

If Peter wins the match while Jacob wins 3 games, then 7 games are played in total. The last game has to be won by Peter, so there are ( 6 3 ) = 20 {6 \choose 3} =20 possibilities for the 3 games won by Jacob. Therefore, the probability of Peter winning the match with Jacob winning 3 games is 20 × ( 0.3 ) 3 × ( 0.7 ) 4 20 \times {(0.3)}^3 \times {(0.7)}^4 .

To find the probability of Peter winning the match, add the 4 numbers obtained together. For simplicity, you can factor out the ( 0.7 ) 4 {(0.7)}^4 , to make the sum of the 4 numbers ( 0.7 ) 4 × [ 1 + 4 × 0.3 + 10 × ( 0.3 ) 2 + 20 × ( 0.3 ) 3 ] {(0.7)}^4 \times [1+4 \times 0.3+10 \times {(0.3)}^2+20 \times {(0.3)}^3] .

The final result is 0.873964, which is 87.3964 \boxed {87.3964} as a percentage.

So in general, if the winner is the first to n n games and the probability Peter wins any one game is p p , the probability he wins overall is

p n k = 0 n 1 ( n + k 1 k ) ( 1 p ) k p^n \sum_{k=0}^{n-1} {{n+k-1} \choose k}(1-p)^k

But I can't find a closed form for this. Can anyone else?

Chris Lewis - 2 years, 1 month ago

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