This post was inspired by an article on The Economist, which went through some possible explanations for why, in recent
years, the best male tennis players have dominated Grand Slams more than the
best female tennis players. An addendum at the end of the article noted that
part of the reason for this is that women’s matches in Grand Slams are three
sets, while men’s matches are five sets, therefore making upsets more likely in
the women’s game.
Not being able to
calculate probabilities in my head, I was curious to see how the different
match lengths affects the chances of the “better” player winning the match.
Assume that a given male player and a given female player have the same
probability of winning a particular set. The tables below show, for selected
probabilities of winning a set that are greater than 0.5, the probability of
those players winning a particular match, if their probabilities of winning a
particular set remains constant. They also show the probability of those
players winning a Grand slam tournament (although more caution should be taken
with these probabilities, given that a player’s probability of winning a
particular set is likely reduced as they progress through the tournament).
Probability
of winning match
|
||
Probability of winning set
|
Female
|
Male
|
0.5
|
0.500
|
0.500
|
0.6
|
0.648
|
0.683
|
0.7
|
0.784
|
0.837
|
0.8
|
0.896
|
0.942
|
0.9
|
0.972
|
0.991
|
Probability
of winning Grand Slam
|
||
Probability of winning set
|
Female
|
Male
|
0.5
|
0.004
|
0.004
|
0.6
|
0.031
|
0.047
|
0.7
|
0.143
|
0.241
|
0.8
|
0.415
|
0.620
|
0.9
|
0.797
|
0.933
|
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