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?
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.
Fighting off fatigue in any Grand Slam match is a challenge. Does this get even harder after multiple matches?