A Spatial Exploration of Serve Patterns
Using a recently discovered source of summary tracking data for Grand Slam matches, Peter Tea explores the spatial features of top men’s and women’s serves.
Using a recently discovered source of summary tracking data for Grand Slam matches, Peter Tea explores the spatial features of top men’s and women’s serves.
Can you ever have too much height in tennis? In this post, Peter Tea analyzes two sides of the “big server” equation as he delves into the influence of height on the rate of aces hit and aces allowed among ATP players.
A model that could predict a player’s performance on serve would have a number of interesting uses like forecasting the outcome of matches or identifying surprising performances. But for any of these uses the model would need to be accurate and reliable. How should we evaluate a model’s performance? And how do we know when a model is good enough?
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?