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About Me

I am a versatile football data professional with experience & capabilities across all aspects of how data can impact football: scouting/recruitment, match/team analysis, research, pipeline building and automation to support analyses… all while staying grounded with what happens on the pitch.

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Links to my profiles with examples of my work

My work is best as the link between data and the pitch. Whether it’s finding players to scout, analyzing an upcoming opponent, modeling a team’s game model KPIs, creating complex models, or undertaking general research projects, I ensure everything us actionable, explained well, and visualized simply.

I’ve partnered with Impect in order to use industry-leading data for my work. In addition, I have the ability to get Opta event data the moment your game ends as well as a comprehensive historical Wyscout database. All of this, as well as expert-level experience with all 3 sources, will allow us to make an immediate impact.

Here are a few examples of what I could bring to your club:

• Post-match reports, customized for your game model. See some standard template examples here.
• Pre-match reports, focusing on how your team & the upcoming opponent stack up in recent game metrics and event data patterns. You can see a very basic template here, which we can customize for what your coaches or analysts want to see.
• Recruitment analysis. Everything from defining key metrics to look at for specific roles for your system, finding players for scouts to look at, building a simple in-house app for your team to use, or providing data-driven insight on leagues/markets the club should explore. I am not an expert on a single market, but rather an expert in the the methods to research, identify, explore, and find players in any market. I have league/team style & quality models to facilitate this process, as well as a keen eye-test to verify. Here’s a short expansion on the style data and a very quick visual using the team rating model.
  • You will be given access to my full, comprehensive recruitment app if we work together on recruitment.
• Player analysis. I am a leading expert on analyzing and visualizing player data using aggregate season-level data to create profiles, event data to simply visualize and interpret every aspect of a player’s game, or more complex methods. I am skilled at brainstorming & creating new ways to analyze players. Here’s an example using Impect data to analyze pressing tendencies, and of course my scouting app.
• Models and complex analyses. Creating new ways to analyze players; add context to players, teams, and leagues; or quantify any aspect of the sport is one of the most important ways data can be applied to to your specific club’s context. Here is a basic example that attempts to add context to player transfers by quantifying their relative experience to a focal team. I’ve also created a method to help us understand player performances with small sample sizes.
• General consulting & projects. Outside of specific work, I am able to consult with teams at any stage of using data in their club. My experience is particularly valuable for clubs who have either no or little experience with data, not sure where to start/what’s the best mix of analyses to use at the moment, or especially if you have raw data but don’t have the capabilities to get the best value out of it yet.

Please send me an email if you want to set up a meeting or if you have any questions:

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Who I’ve Worked With

Sustained/Long-Term Work:

Head of Data/Data Scientist – Kolding IF – Full time (Dec. 2024 – May 2026)

• Set up and lead the first team’s data operations for match/opposition analysis, player development, and recruitment operations. Responsibilities include selecting and managing data providers (Wyscout, Impect, Opta), creating and managing all ETL activities and web scraping, as well as interpretation.
• Build & maintain all in-house analysis apps for recruitment and match analysis, as well as Python packages and ad-hoc analyses for the coaching staff and Head of Football.
• Develop automated pipelines to download/scrape data, process data, create metrics, and build models to measure player & team performances for match, opposition, and recruitment analysis.
• Lead player scouting through data. This includes creating models & methods to discover, analyze, rank, and compare players. Afterwards, I scout players with deeper data dives and video scouting.
• Build a global quality and style model to add context to player data and better predict their translation to Danish soccer, aiming to mitigate as much risk as possible for foreign signings.
• Own and maintain the club’s recruitment shortlist for prospective players.
• Translate tactical concepts into new metrics and ad-hoc reports, including matchday KPIs, as well as interpreting any findings/output into language the coaching staff can understand and implement.

Data Analyst – Loudoun United – Part time (2024 USL Championship season)

• Provide comprehensive pre- and post-match analysis reports to the coaching staff.
• Answer ad-hoc questions from the coaching staff and GM using data.
• Help with data-based recruitment, own-team reports to find gaps in player quality, and lists of prospective players.
• Develop and maintain Streamlit apps to visualize team progress and benchmark vs other clubs.

Data Scientist – Wellington Phoenix Academy – Volunteer (Sep. 2022 – Dec. 2023)

• Supported post-match analysis and player development for the 2022 Central League and 2023 National League Championship.
• Coded a Python program to clean match video data outputs as well as to visualize player actions on the pitch to be analyzed by the coaching staff.
• Built a Tableau dashboard for post-match analysis as well as player development. Used by the academy’s coaching staff for post-match meetings among the staff and with players, as well as by the academy’s full-time data scientists and analysts.

Short-Term/Freelance Work: