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Sep 07 2022

US Open WTA Data (Winners – Errors)

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: -17%

Since we are in week two of the 2022 US Open, we decided to take a look back at the women’s numbers from last year. In the next few weeks, we will look at this year’s data. 

Winners and errors are broken down by the different stroke segments to figure out the respective differentials (winners minus 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.

This data is based on 16,595 points.


WTA 2021 USA Open Winners and Errors

Point of the Week

At the highest levels of the WTA tour, 2.6 errors are hit for every winner. Minimizing errors is easier to accomplish than attempting to hit more winners, especially on the return of serve.

In order to improve these numbers though, you need to know what they are so that you have a base of comparison.

Send us your match video and we will give you the information you need to improve your game. Learn more here.

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Photo of the Week

Simona Halep’s forehand approach shot.

Simona Halep Approach Shot

Written by Warren Pretorius & Will Boucek · Categorized: Serve, Singles, WTA · Tagged: 2021 US OPEN, Winners / Errors, WTA

About Warren Pretorius & Will Boucek

Each post is written by Will Boucek, in collaboration with Warren Pretorius.

Warren is the founder & CEO of Tennis Analytics. He is a USPTA Master Professional, speaker, and strategy coach for ATP & WTA pros.

Will is a writer and content strategist for Tennis Analytics. Will is also the founder of The Tennis Tribe and Tennis Tribe Marketing. He played college tennis and has over a decade of coaching experience.

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