Leicester Tigers implements predictive analytics from IBM to reduce injury number and severity
Analytics is becoming a critical tool for leading sports teams and IBM will play a vital role in assessing the risk of injury to players and then using this insight to deliver personalised training programmes.
Unlike spreadsheet-based statistical solutions, IBM predictive analytics will enable Leicester Tigers to broaden and deepen the analysis of data including fatigue levels and intensity levels. IBM’s solution will allow the club to analyse physical and biological information for all members of the squad and detect and predict patterns in their data.
“Our team has always been proud of challenging at the top of domestic and European competitions but the environment gets more competitive every year and our focus must be on helping our players stay injury free for longer,” said Andrew Shelton, head of sports science for Leicester Tigers.
“There is a tremendous value to be gained by retaining experienced players within the squad and we are confident that, by adopting IBM predictive analytics, our team will be able to leverage data about the physical condition of players for the first time and considerably enhance performance.”
“Sport is no longer just a game, it’s becoming more and more a scientific undertaking which is driven by data and numbers,” said Jeremy Shaw of IBM Business Analytics. “We are delighted that Leicester Tigers has chosen IBM analytics to not only protect the health of its players but also improve the team’s performance.”
Nurturing talent is always be an important aspect of team success and Tigers is also using the IBM predictive analytics solution with Academy players to create a more refined selection process.
