Football Data Analyst
I analyse how players and teams create, concede, and transition value — combining tracking and event data to produce insights across off-ball movement, defensive transitions, opposition analysis, and player profiling.
View my work"My background in sports therapy and healthcare gives me a different lens — pattern recognition, physical performance, and structured thinking under pressure."
Work
00 — Featured
A three-layer physical and tactical analysis of six Spain players ahead of the 2026 World Cup — combining La Liga 2025/26 proprietary data from Driblab with physical benchmarks derived from Paul Bradley's peer-reviewed research on Qatar 2022. Layer 1 scores physical output against World Cup positional standards. Layer 2 applies Spain's specific physical identity ratios. Layer 3 builds game intelligence profiles using Driblab Arrigo metrics ranked against La Liga positional peers.
"Dani Olmo recorded the lowest Readiness Index but produced the most complete game intelligence profile. Physical readiness and game intelligence are not always the same thing."
01 — Flagship
A deeper investigation into what makes off-ball runs valuable — focusing specifically on transition situations using SkillCorner open tracking data (A-League). Context, timing, and movement combinations explain run value far better than run type alone. Late-phase runs generate 3× more threat than early runs. Cross-receiver combinations with forward and support runs produce 2–3× more value than isolated movements. Player profiles reveal three distinct transition roles: finisher, facilitator, and connector.
View project02 — Series
The first project in a two-part series using SkillCorner open tracking data (A-League). Quantifies how off-ball runs contribute to attacking value across all phases of play. Cross-receiver runs generate ~5× more xThreat than support runs. Transitions significantly amplify run value. Movement consistently progresses play into central high-value zones.
View project03 — MSc Thesis
MSc thesis project redefining player roles using PCA and K-Means clustering across La Liga, Ligue 1, and Serie A. Delivered as a live interactive Streamlit dashboard with radar charts, player comparison tools, and tactical role filters — built for scouting workflows.
View project04 — Pipeline
Linking defensive actions to attacking outcomes by tracking what happens in the seconds immediately after a team wins the ball back. Analyses how teams convert defensive moments into structured attacks — bridging defensive and offensive phases of play.
View projectLive Tool
An interactive Streamlit application built from my MSc thesis. Explore player roles and performance metrics across Europe's top leagues — designed to support scouting workflows and tactical decision-making.
About
I'm an early-career football data analyst with a hybrid background combining tactical football analysis, data analytics, and sports therapy and healthcare.
My work sits at the intersection of tactical insight and data-driven analysis, with a particular focus on off-ball movement, transitions, and spatial behaviour — areas where tracking data is reshaping how we understand the game.
Before moving fully into data, I worked as a Diabetes Specialist Nurse with the NHS — an environment that built strong pattern recognition, structured decision-making, and the ability to communicate complex findings to non-technical stakeholders. That background translates directly into how I approach football data.
I hold an MSc in Football Data Analytics and have worked in real football environments across scouting, opposition analysis, and club governance — including time with Portland Thorns (NWSL), US Mondorf, and Athenians FC.
My MSc Sports Therapy dissertation examined the effects of static versus dynamic stretching on sprint performance — academic research that directly informs how I interpret physical performance data in football analytics today.
Skills
Technical
Data & Methods
Football & Domain
Academic Research
Experience
Applied Opposition Analysis — NWSL Context
Applied opposition analysis project developed through Sports Data Campus, structured around a Portland Thorns (NWSL) scenario. Used IMPECT-style event data to identify patterns around regains, box entries, and transitions — delivered as a coach-facing report within a professional analysis framework.
Video Scout
Match analysis, player evaluation reports, and tactical observation in a real football environment. Developed the ability to communicate data insights clearly in football language.
Multi-role Club Involvement
Involved at Athenians FC across four dimensions — as a board member contributing to club-level decisions, as a tactical and video analyst producing match and opponent analysis, and as a player with first-hand understanding of game structures from within the environment.
Diabetes Specialist Nurse
Decision-making under pressure, pattern recognition from complex data, and structured communication with non-technical stakeholders. A background that directly informs how I approach analytical problems in football — particularly in physical performance and load management contexts.