Player Scouting and Player Analysis
Clubs and countries spend millions of dollars and euros to bring ace players into their teams. It is humanly difficult to apply quantitative metrics throughout the matches to analyze individual players. Yellfy’s AI solutions use data provided by video coverages, wearables, and devices installed to analyze players. The individual parameters of players can be measured. With software, teams can check whether a player’s ability matches that of an expert the team wants. Similarly, with modern AI-based solutions, one can analyze the physiology of each player and how they function under stress.
Solutions That Help Coaches, Players
AI can be used to enhance the performance of players. For instance, Yellfy’s HC Services uses Computer Vision and Machine Learning to analyze Basketball players’ skill levels. It calculates the shot accuracy, progress over time, and key performance metrics such as speed, vertical jump, release time, and ball handling to help players improve. Similarly, we used a third party device called Tennis In/Out along with Yellfy’s software. The system uses Computer Vision to detect the speed and placement of a tennis shot. Similarly, in the game of cricket, sensor-enabled bats by Spektacom analyze batsmen’s performance. Parameters like the speed of the ball on impact, the twist on impact, point of impact, quality of the shot, etc. will be available on a real-time basis to coaches.
Utilizing AI is not new as Formula One (FI) is among the most data-driven sports today. For instance, Mercedez race cars have around 200 sensors. In earlier days, engineers used to continuously monitor data from sensors for information on acceleration, braking, tyre temperature and wind speed to optimize performance. Today, AI does the job of interpreting this data. It gives the teams visualization on when to take pit stops. Similarly, Honda uses IBM’s Watson to analyze its hybrid engines. A car generates several hundreds of GBs of data during races. Amazon Web Services (AWS), now provides a cloud computing platform for FI teams to store these. Six decades of race data is stored by AWS and they are analyzed by teams to figure out the best tactics.