• 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

Singles

Jan 04 2023

Do B12 match winners hit more winners, or make fewer errors?

At the Jr, Orange Bowl B12 division over the last few years, the winners and errors ratios are pretty stable.  We considered over 18,000 points played in this division:

Written by Warren Pretorius · Categorized: Junior Boys, Singles, Winners/Errors · Tagged: Junior Boys, Junior Orange Bowl, Rally Data, Winners / Errors

Nov 23 2022

2022 Grand Slam Review – Girls’ Serve Data

Because the Serve and Return are inversely related, the victor is not simply the best server.  The quality of the return negatively impacts opponent serve stats.   The advantage though is to the server.  They get to set the stage with the choice of: Direction Pace Spin And, they get 2 opportunities to get the ball […]

Written by Warren Pretorius · Categorized: Junior Girls, Rally Data, Serve, Singles · Tagged: Challenger, Junior Girls, Serve Data

Oct 26 2022

2022 US Open Girls – Winners/Errors

2022 US Open Girls - Winners / Errors

In the girls’ draw at the 2022 US Open, 3 of every 4 points ended in an error by one of the players (Winners – 24%, Errors 76%).

Written by Warren Pretorius · Categorized: Junior Girls, Rally Data, Return, Serve, Singles, Stat of the Week · Tagged: 2022 US Open, 2022 US Open Girls, Junior Girls, Rally Data, The first 6 Shots, Winners / Errors

Sep 14 2022

Carlos Alcaraz 2022 US Open Data

Venus Williams forehand swinging volley

Carlos Alcaraz is the new King of Tennis, vanquishing his opponents at the 2022 US Open.

He played 275 games in total and won 160 (58%) of these. And rather than winning in traditional fashion, by making fewer errors than opponents, he won by hitting more winners (5%).

Written by Warren Pretorius & Will Boucek · Categorized: ATP, Return, Serve, Singles · Tagged: 2022 US Open, Rally Data, Winners / Errors

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

  • Go to page 1
  • Go to page 2
  • Go to page 3
  • Go to Next Page »

Home | About | Contact | Privacy Policy | Affiliate Disclosure

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