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The inaugural Hudl Performance Insights 2025 took place on Friday, 14 November, welcoming the professional football community to Fulham Pier in London.
Over 400 delegates from professional football's elite - including practitioners in data analytics, scouting, and human performance - descended on the capital for a day of industry networking and expert-led learning across the three speaker stages.
14 November 2025

Fulham Pier, London, UK
The Statsbomb Stage delivers practical, high-value insights directly from industry leaders in data. Focusing on real-world club workflows and data application, this stage features case studies, executive interviews, and practical insights shared from leaders in data science, analytics, and strategic decision-making.
Damien Comolli
General Manager, Juventus
Session Unavailable
Edin Terzić
“A Manager’s Perspective” with Raphael Honigstein
Session Unavailable
Mark Nervegna & Stephen Gallagher
Raiola Global Management
Session Unavailable
The Hudl Signal Stage is the primary track for the human performance and sports science community, bringing together elite practitioners and thought leaders to discuss the intersection of athlete welfare and performance.
Panel: Navigating Complexity in Elite Football
Dr. Paul Bradley, Jack Nayler, Lewis MacMillan, Will Sparkes
The Research Stage is dedicated to showcasing the foundational and applied innovation shaping the future of football analytics. It provides a platform for independent researchers, academics, and emerging analysts who present winning submissions from the annual Hudl Statsbomb Research Competition.
Using Data to Make Evidence-Based Decisions in Football with Recruiting Managers, Players and Staff
Ryan Groom
Defending the Long Throw: A Dual-Model Framework for Minimising Defensive Risk
Sebastian Greenhalgh & Dan Anghel
Estimating Player Impact over Time: Player-Adjusted Hierarchical Models for Scouting & Performance Evaluation in English Football (Soccer)
Tahmeed Tureen & Irena Chen
Capturing Player Impact from Team Action Sequences — A GPT-Based Framework for Transfer Fit
Minho Lee
Quantifying Off-Ball Defensive Impact through Cover Shadows
Lorenzo Cascioli & Allen Wang
Comparing Competitive Contexts: Do Physical Demands Play a Greater Role in Player Performance in the Premier League Compared to Other Leagues?
Richard McIntosh & Tobias Beckmann
The Imposter on the Pitch: Learning Team-Agnostic Signatures for Counterfactual Evaluation
Davide Danesi
One xG model to rule them all? Challenging the most accurate xG model
Robert Bajons & Tobias Harringer
The Manager Bounce: From Immediate Shock to Tactical Identity
Sean Hooker