Love Love: AI and ML in Tennis with Stephanie Kovalchik

800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

In this, the final show in our AI in Sports series, I’m joined by Stephanie Kovalchik, Research Fellow at Victoria University and Senior Sports Scientist at Tennis Australia.

Stephanie and I had a great conversation about a few of the many interesting projects underway at Tennis Australia. We look at their use of data to develop a player rating system based on ability and probability, as opposed to the current official one which is based on points scored and match results. We then get into some of the interesting products her Game Insight Group is developing, including a win forecasting algorithm, and a statistic that measures a given player’s workload during a match. Stephanie details her paper “Is there a pythagorean theorem for winning in tennis?”, which explores the development and application of a pythagorean theorem for win expectation in tennis. We also take a look at her project to develop a system for classifying “ending” shots, and an emotion tracking system that help shows the link between emotion and performance in tennis.


On July 17th at 5pm PT, Nic Teague will lead a discussion on the paper Quantum Machine Learning by Jacob Biamonte et al, which explores how to devise and implement concrete quantum software for accomplishing machine learning tasks. If you haven’t joined our meetup yet, visit to do so.

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About Stephanie

Mentioned in the Interview

“More On That Later” by Lee Rosevere licensed under CC By 4.0

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