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Leicester Tigers Rugby Team Deploys Predictive Analytics from IBM to Reduce Injury Number and Severity

LONDON April 27, 2012 IBM Leicester Tigers

IBM predictive analytics

Unlike spreadsheet-based statistical solutions, IBM predictive analytics is designed to enable Leicester Tigers to broaden and deepen the analysis of both objective and subjective raw data, such as fatigue and game intensity levels. Hence, Leicester Tigers can rapidly analyze such physical and biological information for all 45 rugby players in its squad in order to detect and predict patterns or anomalies.

Using IBM predictive analytics, Leicester Tigers aims to get more insight into which data is important to predict injuries on an individual basis and when an individual is likely to reach that threshold so appropriate action can be taken. For example, if a player has a statistically significant change in one or more of his fatigue parameters and the current intensity of training is likely to be high, the analytics software may show that this player is likely to become injured in the near future. Thus, Leicester Tigers would implement strategies to reduce fatigue or alter his training accordingly.

Andrew Shelton

IBM predictive analytics also allows Leicester Tigers to analyze psychological player data, to reveal other key factors which may affect performance. For instance, away games could cause higher stress levels than home games, and social or environmental stress could significantly change the way players perform during a match, or predispose a player to injury. Leicester Tigers believes that investing in adequate training programs, tailored according to players’ physical and psychological stress, will be more cost effective and display a better duty of care to team members. 

Jeremy Shaw United Kingdom

Nurturing talent will always be an important aspect of team success, and as such, Leicester Tigers is using IBM predictive analytics solutions at the very early stages of each player’s career to ensure it has the best selection of rugby talent. The software will be applied across Leicester Tigers’ under-19 Academy players to create a more refined selection process and to ensure a higher percentage of young talent is brought into the first team.

Predictive analytics has become an integral part of the sports world. The project between the Leicester Tigers and IBM is part of a growing trend among all types of organizations to uncover hidden patterns in data in order to predict or prevent outcomes for competitive advantage. Advances in analytics now offer powerful insight and enhanced decision making to organizations across various industries, from healthcare and energy conservation to retailing and public safety.

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Media Contacts:

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Emma Bennett

IBM Media Relations                

IBM Media Relations


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