Leicester Tigers

Predictive analytics used to assess player injury risk and modify training to keep players healthier

Published on 22-Nov-2013

"Sport is no longer just a game; more and more, it’s becoming a scientific undertaking driven by data and numbers. The ability to predict injuries and outcomes can help us stay strong as a team." - Leicester Tigers

Customer:
Leicester Tigers

Industry:
Media & Entertainment

Deployment country:
United Kingdom

Solution:
BA - Business Analytics, BA - Predictive Analytics, Big Data & Analytics, Big Data & Analytics: Operations/Fraud/Threats, Smarter Planet

Overview

Founded in 1880, the United Kingdom’s Leicester Football Club, or Leicester Tigers as it is more commonly known, has gone on to become one of the most successful and well-known rugby clubs in the world. The Leicester Tigers has held the English championship title nine times and has won the European Heineken Cup twice.

Business need:
In high-intensity sports such as football or rugby, this predictive capability could literally save players’ lives by helping to head off head trauma or other life-altering injuries.

Solution:
This well-known rugby club uses predictive analytics to analyze factors such as game intensity, practice intensity, fatigue and psychological stress which could aid the team to get an idea of which players are more likely to be reaching their injury threshold.

Benefits:
The team expects to prevent a greater number of injuries, to help players extend their careers and to deepen the roster.

Case Study

Founded in 1880, the United Kingdom’s Leicester Football Club, or Leicester Tigers as it is more commonly known, has gone on to become one of the most successful and well-known rugby clubs in the world. The Leicester Tigers has held the English championship title nine times and has won the European Heineken Cup twice.

The Opportunity
In professional sports today, it’s not enough to leave winning to chance. Leicester Football Club must make money to survive, and poor match play can turn fans away. Predictive analytics is emerging as a powerful weapon in sports competition, enabling team coaches, trainers and executives to predict the value of a player relative to salary, or the length of a player’s career based on performance history and frequency of injury. In high-intensity sports such as football or rugby, this predictive capability could literally save players’ lives by helping to head off head trauma or other life-altering injuries.

What Makes It Smarter
If the number of injuries in a sport is inversely proportional to the amount of protective padding a player wears, then rugby may be the toughest sport of all. How do you keep players injury-free in a sport in which the injury rate hovers around 25 percent? You predict injuries before they happen. This well-known rugby club uses predictive analytics to analyze factors such as game intensity, practice intensity, fatigue and psychological stress which could aid the team to get an idea of which players are more likely to be reaching their injury threshold. With that insight in hand, the team would be able to alter schedules, for example by stressing a more moderate training plan to offset an intense game schedule or to minimize stress in the off-hours. This more proactive monitoring is expected to keep players healthy during the grueling season, help extend the career of stars and better train up-and-coming players for the first team.

Real Business Results
• Expects to prevent a greater number of injuries before they happen by proactively altering the training or lifestyle of players
• Expects to help players extend their careers by preventing injury and burnout
• Expects to deepen the roster by helping up-and-coming players get up to speed faster, enabling them to join the first team sooner

For more information
Please contact your IBM representative or IBM Business Partner. Visit us at ibm.com/spss.

To learn more about Leicester Tigers, visit www.leicester tigers.com.

Products and services used

IBM products and services that were used in this case study.

Software:
SPSS Modeler

Legal Information

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