Statsbomb Conference Presentation highlighting what I’ve learned building an analytics department during my first two seasons at Inter Miami CF.

Presentation (Statsbomb 2022)

Player movement metrics in football such as speed and distance are typically analysed as aggregates, sometimes outside of any specific tactical or match context. This research adds context to a player’s movement over the course of a match by analysing movement profiles and bringing together tools from the sport science and sports analytics literature.

Co-authors: Sam Robertson, Robert Aughey and Grant Duthie

Paper (Journal of Sports Science)

This research challenges common stereotypes in professional soccer based on race and gender by employing computer vision based match recreations. We find evidence viewers are more likely to attribute athletic characteristics to Black players when they can identify the race of the players involved.

Co-authors: Devin Pleuler, Daniel Daly-Grafstein, Yang Liu, Paul Marchwica

Paper (2021 NESSIS)

Summary Article (FiveThirtyEight 2021)

A method for identifying and classifying off-ball in possession runs into similar groups to allow for more generalizeable analysis.

Presentation (2019 NESSIS)

Paper (2019 Barcelona Sports Analytics Conference)

Webinar presented with Devin Pleuler, Director of Analytics at Toronto FC, providing a framework for simple and insightful applications of player tracking data.

Full Video