Every week, Tennis Analytics dives deep into the data, bringing you a stat of the week to help you understand tennis better and become a little smarter. For this week, we have a recap of the major statistics for the 2022 US Open, separating Match Winners’ from Match Losers’ data.
WTA
Iga Swiatek Winning with Consistency
Iga Swiatek won 56% of the 980 points she played at the 2022 US Open. As a baseliner, we would expect that she won by outlasting her opponents from the backcourt.
US Open WTA Data (Winners – Errors)
The greatest variance happens on the return of serve. The fewest winners and most errors are hit on the return than on any other specific rally length. Looking at the return differential of -17% in another way, WTA players make almost 10 return errors to every winner.
Stat of the Week | WTA Serve “Halo” Effect
Every week, Tennis Analytics dives deep into the data, bringing you a stat of the week to help you understand tennis better and become a little smarter. Stat of the Week: 60% Last week we looked at the “halo” effect of the serve on the men’s side. Within the first SIX strokes, the server won […]
Stat of the Week | 2022 Wimbledon, Elena Rybakina
Every week, Tennis Analytics dives deep into the data, bringing you a stat of the week to help you understand tennis better and become a little smarter. Stat of the Week: 8% World #23, Elena Rybakina, stunned the field in more ways than one to take the 2022 Wimbledon title. From her quarterfinal match through […]