Optimising Spatial Teamwork Under Uncertainty
A new method for optimising team defence in football using Monte Carlo Tree Search and linear programming — reducing opponent threat by 21% in simulation.
Data Scientist · Southampton FC
Dr. Greg Everett
I'm a data scientist specialising in AI and machine learning, helping improve team performance within football clubs, from analysing matches to identifying recruitment targets. My work is backed by peer-reviewed research and shaped by working inside a professional club every day.
Published at
AAAI 2025
IEEE DSAA 2025
MIT Sloan 2024
AAMAS 2023
StatsBomb 2022
Featured Publications
Injury Risk Mitigation and Team Success in Football
A team-selection model that balances performance with injury risk — demonstrating ~13% fewer first-team injuries and ~11% reduction in inefficiently spent wages.
Evaluating Off-Ball Defensive Influence with GATs
GAPP: a graph attention network for predicting pass reception and quantifying off-ball defender contributions with interpretable metrics.
About Me
I'm a data scientist at Southampton FC with a PhD from the University of Southampton. My research focused on using AI and machine learning to solve real problems in football, from optimising team selection to evaluating player performance using techniques like reinforcement learning and graph neural networks.
Now I apply that research day to day inside a professional club, contributing to projects across recruitment, player evaluation and tactical decision support.
Full bioRecent Talks
Optimising Spatial Teamwork Under Uncertainty
AAAI 2025
The Strain of Success
MIT Sloan 2024