Eamon McGleenan

Eamon McGleenan

PhD Researcher · Predictive Sports Analytics · Queen's University Belfast

I am a PhD candidate in the Predictive Sports Analytics Group at Queen's University Belfast, working in collaboration with STATSports on sensor-derived performance metrics, validity testing, and applied fatigue monitoring. I hold an MSc in Medical Physics and have over six years of Python experience, with additional proficiency in SQL, R, Tableau, and Power BI. Professionally, I work as a GPS data analyst and U18 performance coach with Tullysaran GAC, where I built end-to-end data pipelines for processing wearable sensor data and contributed to the club's historic promotion to senior status. I am a first-author researcher and hold a GAA Athletic Development certification. My background spans applied sports science, software engineering, and mathematics teaching, underpinned by a lifelong passion for sport and evidence-based performance optimisation.

Publications

2026

Ballistic power: GPS-derived measurements suitable for the real-time monitoring of neuromuscular fatigue during repeated sprints

Eamon McGleenan, Samuel Grant, Lisa M. McFetridge, Jack C.J Brown, Joseph W. Shaw, Tiago de Melo Malaquias, Ruth Montgomery, David B. Jess
Full Text Global positioning system Force velocity relationships
Under Review

In-Situ PFv profiling in sub-elite Gaelic football: validation, comparison with isolated sprints, minimum data load requirements, and exploring "real-time" monitoring potential

Eamon McGleenan, Samuel Grant, Lisa M. McFetridge, Jack C.J. Brown, Richard Hawkins, Tiago de Melo Malaquias, Ruth Montgomery, Richard McCann, David B. Jess
Practitioner's Guide In-situ monitoring Force-velocity profiling Fatigue detection

Projects & Code

GPS Analyst — Tullysaran GAC Senior Football Team

Working with my local GAA club, O’Connell’s Tullysaran GAC, where I’ve played my whole life, I developed an end-to-end performance data pipeline using STATSports Apex Pro units to monitor player speed, acceleration, directional changes, and heart rate data.

Processed through Python and visualised in Tableau, the system enabled the management and coaching team to individualise training programmes and make more informed tactical decisions on match days.

This work contributed to the team winning the Armagh Intermediate Football League and securing promotion to senior football for the first time in the club’s 135-year history.

Huge thanks to the management team; Pauric McGlone, Ciaran O’Riordan, and Mickey Coogan, as well as our S&C coaches, Caolan Harvey and Ciaran Campbell, for their support throughout the year.

View the open-source GPS processing pipeline

Python GPS Analytics Sports Science Open Source

In-Situ PFv Profiling — A Practitioner's Guide

An interactive companion to our research paper (under review) on deriving force-velocity profiles from in-situ GPS data. The guide walks practitioners through the methodology, from Butterworth filtering and acceleration-speed envelope extraction through to in-match fatigue monitoring using sliding-window ballistic power.

Includes a browser-based interactive tool that replicates the paper's figures from any raw STATSports CSV — all processing runs locally with nothing uploaded. Built to help S&C coaches and sport scientists implement PFv profiling in their own day-to-day workflows without additional testing equipment.

Read the practitioner's guide

Force-Velocity GPS Analytics In-Situ Monitoring Interactive

In the Media

The Irish Times

GAA moneyball: Astrophysics student uses science to lead club to historic win

5 September 2025
Read article
RTÉ News

Big data helps GAA club to first senior status in 135 years

5 September 2025
Read article
The Sideline Eye

Tullysaran take Division Three Minor title

8 September 2025
Read article

Talks & Presentations

15 November 2025

Applying GPS Technology to Gaelic Games: Evidence-Informed Recommendations for the Weekly Microcycle

CS Coaching Conference · Newforge Sports Complex, Belfast

Presented research on applying GPS tracking and data analytics to Gaelic Games coaching, covering evidence-based approaches to structuring the weekly training microcycle for club teams.

Qualifications & Certificates

PhD Predictive Sports Analytics

Queen's University Belfast (in progress)
2023 - Autumn 2026

MSc Medical Physics

Queen's University Belfast
2018 - 2023

Introduction to Machine Learning Using Matlab

Queen's University Belfast
March 2024

F3 Youth Athletic Development Level 1

GAA / LGFA / Camogie Association
January 2026

Setanta Conditioning — A Personal Guide to Health & Fitness

Setanta College
September 2024

Setanta Conditioning - Explosive Rotational Power

Setanta College
August 2024

Contact

If you're a performance coach looking to integrate data analytics into your programme, interested in exploring new applications for wearable sensors, or a researcher in a related field; I'm always open to new collaborations. Feel free to reach out.

Email: emcgleenan04@qub.ac.uk
Office: Main Physics Building, University Rd, Belfast BT7 1NN