• Skip to main content

Tennis Analytics

Analysis & Reporting for College Teams, Coaches, Players

  • Services
    • Team Packages
    • Player Packages
    • Academy Packages
    • Events Package
    • Pro Elite Services
  • About
    • Our Team
  • Demo
  • Shop
  • Courses
    • Technical Analyst
    • Match Analyst
    • Certified Coaches
  • Blog
    • Stat of the Week
  • Contact

WTA

Mar 22 2023

WTA vs NCAA-W Return

Data below is based on 162,846 return points from 2022 to 2023 (WTA 89,925, NCAA-W 72,921)…

Written by Warren Pretorius · Categorized: NCAA-W, Return, Serve, Winners/Errors, WTA · Tagged: NCAA-W, Return Data, Serve Data, Winners / Errors, WTA

Mar 08 2023

 How do serve stats differ between WTA and NCAA players?

While college women players had a slightly higher 1st Serve % (NCAA-W 65% vs WTA  62%), the results show a considerable difference in favor of the pros. 

Written by Warren Pretorius · Categorized: Serve, WTA · Tagged: NCAA, Serve Data, WTA

Sep 22 2022

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. 

Written by Warren Pretorius · Categorized: Rally Data, Return, Stat of the Week, WTA · Tagged: 2022 US Open, Rally Data, Winners/Errors, WTA

Sep 07 2022

US Open WTA Data (Winners – Errors)

Simona Halep Approach Shot

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.

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

Home | About | Contact | Privacy Policy | Affiliate Disclosure

Copyright © 2023 Tennis Analytics · ALL RIGHTS RESERVED · A Division of WGP Media LLC