Prevent loss of talent using AI for injury prediction and personalized therapy
- Digital Sport Ecosystem
Injury remains a huge cost for UEFA organizations, resulting in 14% of their wage budget and over £1Billion per season.
Bristol City Football Club is a professional football club based in Bristol, England, which compete in the EFL Championship, the second tier of English football. They have played their home games at Ashton Gate since moving from St John's Lane in 1904.
We have built and implemented innovative mathematical models and machine learning to provide recommendations and predict future situations.
Our AI Model allows us to attain a 360° view of each player and create a medical biomarker system. Individual changes over time can be visualized and the risk of injuries tremendously reduced.
The Digital Twin enables the use of artificial intelligence to provide highly customized, targeted feedback to the player and the medical and coaching team.
When it comes to predict injury and disease, early adopters of AI have seen a 70% reduction in the number of separate injuries to players, 65% reduction in the days lost due to injury, with 80% of injuries detected in time.
Through individualized healing program and personalized therapy, one Bristol Football Club player was able to transition from being near retirement due to performance, to becoming a consistent starter.
The average number of days a player is out injured in the UEFA is 37. This is detrimental to the organization, and limiting player injuries drives overall increased performance. Our technology can help these organization to prevent loss of talent in an effective way while remove assumptions on what is best for increasing a player's performance with data backed training plans - individual to the player's unique physical characteristics, allows to get a real performance Enhancement.