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Edd Webster
Senior Data Scientist at Ludonautics
London, United Kingdom
Experienced Data Science and Football Analytics professional with 5+ years of professional experience, currently working in my third season in elite sport. Senior Data Scientist with Ludonautics. Previously First Team Lead Data Scientist at Leicester City Football Club, and Data Scientist for Analytics FC and the LEGO Group. For more information: • Website: eddwebster.com • Email: edd.webster.analytics@gmail.com • Open source: github.com/eddwebster/football_analytics
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23.4
CodersRank Rank
Top 8%
Highest experience points: 0 points,
0 activities in the last year
Python
5.2
exp.
Jupyter Notebook
4.4
exp.
List your work history, including any contracts or internships
Ludonautics
Jun 2024 - Present (9 months)
Senior Data Scientist
• Working directly with football clubs to develop models and tools for analysing and forecasting on-field performance.
• Performing bespoke and detailed data analysis and research at the request of client clubs, regarding their squad needs and recruitment strategy.
• Productionising new models and analysis alongside the data engineering team.
• Performing bespoke and detailed data analysis and research at the request of client clubs, regarding their squad needs and recruitment strategy.
• Productionising new models and analysis alongside the data engineering team.
Leicester City Football Club
Apr 2023 - Jun 2024 (1 year 2 months)
Lead Data Scientist
• Developed an integrated, club-wide approach to providing data-driven insights for performance analysis, player recruitment, sports science, and medical aspects of the club’s operation.
• Conducted statistical modelling relating to match performance using summary, event, and tracking data.
• Presented data-driven insights relating to team and player performance.
• Translated complex analytical concepts clearly and simply to football practitioners and stakeholders.
• Identified long-term performance trends.
• Conducted data-driven assessments of on-pitch performance delivering weekly and quarterly reports.
• Evaluated available data products/service providers for suitability to the club’s requirements, and manage contracts and budgets relating to these services.
• Collaborated with key stakeholders across the club to raise the overall levels of data literacy, analysis and reporting.• Developed an integrated, club-wide approach to providing data-driven insights for performance analysis, player recruitment, sports science, and medical aspects of the club’s operation. • Conducted statistical modelling relating to match performance using summary, event, and tracking data. • Presented data-driven insights relating to team and player performance. • Translated complex analytical concepts clearly and simply to football practitioners and stakeholders. • Identified long-term performance trends. • Conducted data-driven assessments of on-pitch performance delivering weekly and quarterly reports. • Evaluated available data products/service providers for suitability to the club’s requirements, and manage contracts and budgets relating to these services. • Collaborated with key stakeholders across the club to raise the overall levels of data literacy, analysis and reporting.
• Conducted statistical modelling relating to match performance using summary, event, and tracking data.
• Presented data-driven insights relating to team and player performance.
• Translated complex analytical concepts clearly and simply to football practitioners and stakeholders.
• Identified long-term performance trends.
• Conducted data-driven assessments of on-pitch performance delivering weekly and quarterly reports.
• Evaluated available data products/service providers for suitability to the club’s requirements, and manage contracts and budgets relating to these services.
• Collaborated with key stakeholders across the club to raise the overall levels of data literacy, analysis and reporting.• Developed an integrated, club-wide approach to providing data-driven insights for performance analysis, player recruitment, sports science, and medical aspects of the club’s operation. • Conducted statistical modelling relating to match performance using summary, event, and tracking data. • Presented data-driven insights relating to team and player performance. • Translated complex analytical concepts clearly and simply to football practitioners and stakeholders. • Identified long-term performance trends. • Conducted data-driven assessments of on-pitch performance delivering weekly and quarterly reports. • Evaluated available data products/service providers for suitability to the club’s requirements, and manage contracts and budgets relating to these services. • Collaborated with key stakeholders across the club to raise the overall levels of data literacy, analysis and reporting.
Analytics FC
May 2022 - Apr 2023 (11 months)
Football Data Science Consultant
• Worked in a freelance capacity to provide data-driven analysis to clubs and stakeholders as part of Analytics FC's many products including Coach ID and Signature.
Add some compelling projects here to demonstrate your experience
Edd Webster Football Analytics GitHub Repository
Apr 2021 - Present
A collection of open-source football analytics projects, data, and analysis, including a curated list of publicly available resources published by the football analytics community.A collection of open-source football analytics projects, data, and analysis, including a curated list of publicly available resources published by the football analytics community.
This section lets you add any degrees or diplomas you have earned.
Queen Mary, U. of London
Master of Chemistry (MSci), Chemistry
Jan 2012 - Jan 2016
MSci Degree: Chemistry (2012–2016)
Degree Classification – Upper second-class honours
Key modules studied: Chemistry MSci Research Project, Advanced Biological Chemistry, Advanced Topics in Inorganic Chemistry, Advanced Physical Chemistry, Professional Skills for Chemists.
Final year research project, titled: 'The molecular dynamics study of the lever arm in regulated myosin'. This molecular dynamics study used computational techniques to determine the flexibility of the lever arm of molluscan myosin, both in the presence and absence of a calcium ion at the calcium-binding site. This was achieved using a command-line, molecular dynamics package - GROMACS. The project was very strong with an overall grade of 72%.
Degree Classification – Upper second-class honours
Key modules studied: Chemistry MSci Research Project, Advanced Biological Chemistry, Advanced Topics in Inorganic Chemistry, Advanced Physical Chemistry, Professional Skills for Chemists.
Final year research project, titled: 'The molecular dynamics study of the lever arm in regulated myosin'. This molecular dynamics study used computational techniques to determine the flexibility of the lever arm of molluscan myosin, both in the presence and absence of a calcium ion at the calcium-binding site. This was achieved using a command-line, molecular dynamics package - GROMACS. The project was very strong with an overall grade of 72%.