Prozone Sports
Extending the boundaries of performance analysis in football.
Company overview
Prozone Sports Limited has been pioneering performance analysis for 19 years and have worked with many of the leading clubs and organisations in sport to deliver the world’s leading performance analysis services.
Challenge
Prozone are the market leader in the provision of performance analysis services in football and strive to innovate to differentiate from competitors. They embarked on a 2 year KTP with the Football Exchange and the School of Computing and Mathematical Sciences at Liverpool John Moores University (LJMU) to improve performance analysis within the areas of match analysis, player recruitment and asset management.
Solution
This KTP will result in the adoption and integration of more powerful statistical methods in the company’s consultancy and training offerings, through the use of multivariate statistics analysis to generate enhanced and more complex performance insights from the huge amounts of data already available from matches worldwide.
The key deliverables of this KTP will be:
- Evolution of match analysis insights
- Enhance player performance profiling
- Deliver asset management solutions
- Enhance educational offerings to academic and sports sectors
Benefits
The KTPs will:
- Improve the analytical capability within the business leading to the development of new innovative market leading products and services
- Enhance the company’s analytical capabilities will have a major effect on their marketing strategy which will also correlate with commercial success within key markets
- Enable LJMU staff to collaborate in a cutting-edge project on sports analytics, which has further developed the relationship between Prozone and LJMU, providing opportunities for work-related learning and undergraduate and postgraduate dissertations in the future.
- Allow research generated to inform the long-term goal of LJMU to make sports performance analysis a fully digitally enabled science and delivery package, providing case studies, website updates, and develop reports for industry, academic publications and conferences. This will contribute to the Research Excellence Framework, funding and employment opportunities.
Hector Ruiz, Liverpool John Moores Doctoral Student in Mathematics and KTP Associate says:
“I am very excited to be involved in this KTP between LJMU and Prozone, as it combines two passions of mine: science and sports. My role in this project will be that of a data analyst, exploring and implementing new ways of evaluating and profiling performance through the extraction and interpretation of insights present in the available data.”
Fast facts
- The KTP exceeded expectations for the project
- The Associate, Hector Ruiz, was given a permanent position at Prozone Sports following the project
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Analysis
Project aims
Prozone Sports embarked on a two-year Knowledge Transfer Partnership (KTP) with the Department of Computer Science and the Department of Applied Mathematics and the Football Exchange. The project aimed to improve performance analysis within the areas of match analysis, player recruitment and asset management.
The project
As part of the KTP, LJMU helped Prozone Sports interpret and apply meaningful patterns in complex and novel datasets. The knowledge and capability developed from the integration of multivariate statistics has markedly enhanced Prozone Sports' analytical offerings and improved its capacity to deliver customised predictive analytics to clients.
Liverpool John Moores University also provided interdisciplinary research between mathematics and sports science. For example, LJMU provided conference publications, publications on analytical tools in sports science, as well as publications on the development and implementation of data scaling in mathematical and computer science journals.
Related case studies
Overall, the KTP experience has been exceptional. It has allowed me to work on a very interesting and innovative project, while providing fantastic development opportunities that a normal job would be unlikely to give.