Imagine you could measure the quality of every shot during a tennis match. What would it reveal about a player’s performance and where on the court they perform best?
Fighting off fatigue in any Grand Slam match is a challenge. Does this get even harder after multiple matches?
A talk at the recent New England Symposium on Statistics in Sport (NESSIS) made me wonder whether we can observe player fatigue in tennis matches? and how?
Do the numbers on the scoreboard affect how a player performs? In this post, we look at how to measure scoreboard effects and identify some top players who appear vulnerable and others who seem impervious to the scoreboard.
In 2016, Angelique Kerber and Garbine Muguruza shocked tennis with Major wins. This year, Jelena Ostapenko and Sloane Stephens were the unexpected first-time slam title-holders. Who, if any of these winners, were helped by an easier Grand Slam field?
Now that the US Open—the last of the four Majors of the tennis calendar—has ended, it is more clear than ever that the 2017 season has been a strange one.
For the first time in 36 years, the US Open women’s singles event will have an all-American semifinal. What were the odds of this historic outcome?
There has been a lot of talk about the lacklustre men’s field at this year’s US Open. What better way to put this idea to the test than to have the 2017 US Open men’s draw go head-to-head against the draw of 2016?
The 2017 US Open draw is out. But much of the talk this year will be on the names not included in the draw.
In this guest post, Martin Ingram explores the stats behind surprising runs in tennis.