Transform Tennis Analytics
Leverage cutting-edge AI and machine learning to unlock unprecedented insights into tennis performance metrics
Get Started100K+
Matches Analyzed
50+
Pro Teams
95%
Prediction Accuracy
Our Mission
At VIP Data, we specialize in using Volume and Intensity to generate Performance metrics telling the nuanced story of tennis. We are a team of Sports Performance Scientists and Data Scientists using cutting-edge AI and Machine Learning models to benefit all facets of the Tennis Community; from fans to professionals.
The Team
Geoffery Russell
Lead Sports Scientist
Geoff is the performance team director at the USTA and has proven success with tier 1 players at the junior, collegiate, and professional levels. He is a leader in sports science and performance who leverages innovative solutions to provide measureable and objective feedback for players and coaches.
Paul Robbins
Lead Sports Scientist
Paul Robbins is a leading sports performance scientist who has worked with the NFL, NBA, NHL, and the USTA through companies such as Kinexon, EXOS, BioCore, and STATS. He also is an Adjunct Professor at ASU and has a focus on product research and sports science education. Paul has a passion for developing performance metrics to inform teams and players about metabolic health and performance.
Daniel McIntosh
Lead Data Scientist
Daniel is the Faculty Director of the Sports Business undergraduate program at Arizona State University. Daniel has assisted with the Economic Impact Studies for the Super Bowl, the NCAA Final Four, and numerous other Arizona sporting events. He has also served as a consultant in the athlete management space for over a decade.
Matthew Kearney
Lead Data Scientist
A professional data scientist with experience in creating Artificial Intelligence and Machine Learning models for leading companies, and working with professional sports teams to generate insights and player performance reporting.