Who dominated each surface in 2017? This post breaks down the best clay, hard, and grass performers on the men’s tour this year.
2017 has been a wide-open year for the WTA. What do Elo ratings tell us about the standout serve and return performances of the season?
Who was the best server in 2017? Who was the best receiver? Which players were the most improved servers and receivers? This post reviews the standout performances of male players in 2017 using serve/return Elo ratings.
The “resurgence” of Roger Federer has been one of the biggest storylines of the 2017 season. After the end of Federer’s season at the ATP Tour Finals, how does it rank among his past seasons? and what is the best metric for judging season accomplishments?
The Elo rating system is one of the most popular tools for rating player and team performance. In this post, I show how we can take the Elo system beyond match wins and use it to rate players on the two most fundamental skills in the sport: serving and returning.
Having a metric for match excitement would be a useful tool for separating humdrum matches from thrillers. In this post, I have a look at two indices for measuring match excitement and discuss what’s to like and dislike about each.
The 2017 MLB World Series gave baseball fans a thrill-ride for the post-season. It also gives us an idea of how to size up the excitement of a sporting event. In this post, we look at an ‘excitement’ statistic for tennis and use it to rank the excitement of men’s matches at the 2017 US Open.
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?