Currently, artificial intelligence is a part of many aspects of our lives. Sometimes it is quite obvious, like when talking to a chatbot instead of a human while seeking help or watching commercials. But often, we need to dig a little deeper to notice the use of AI. One such example is in sports, and football is no exception.
Measuring Statistics
Take a moment to think about how all the stats are measured. Even the simple ones are not tracked by humans but by algorithms that analyze video footage and provide all the necessary information. The accuracy and scale of these measurements are remarkable. There are not only stats like shots on target or ball possession but also detailed information about each pass: who made it, how long it was, whether it was progressive (the ball moved at least three meters toward the opponent’s goal), and much more. Not even to say about statistics like xG, which determines the probability of scoring a goal from a given shot, where it analyzes similar shots based on for example distance from the goal or position of other players.
Managing Your Club Using AI
Another fascinating use case of AI in football is player evaluation. Based on match and training stats, a profile is created for each player. Coaches can use these profiles to devise tactics for specific opponents or provide players with insights on how to improve their performance or surprise their opponents. Moreover, AI is not only used to evaluate current players but also to guide transfer policies. By analyzing the team’s playing style and potential new signings, the coaching staff can determine which players to recruit.
Being a Referee Has Never Been So Easy
A more visible use case of AI in football is the semi-automatic offside technology used by referees. While decisions are still made live on the field, every crucial situation can now be reviewed within seconds. The algorithm identifies the exact moment the pass was made, selects the relevant players (defender and attacker), and draws the offside line. This process is displayed during broadcasts so fans can see the analysis in real time.
Will AI Create a Downfall for Bookmakers?
Another popular use case is connected to betting. Many bookmaker companies use AI to predict the probabilities of various stats for a given match. However, it’s not just the bookmakers using AI to their advantage; some gamblers are also leveraging these technologies. They create models to predict results and stats and select the events most likely to occur. This has leveled the playing field in some ways, with experienced bettors using AI tools to uncover value in odds that might otherwise go unnoticed. As these tools become more accessible, we could see a shift in how bets are placed and how bookmakers adjust their strategies to maintain an edge. It’s a fascinating race, with AI sitting at the center of both sides’ efforts to outsmart each other.
So, What’s Next?
It is difficult to predict precisely, but one thing is certain: there is still plenty of room to improve current technologies, both in terms of precision and accessibility. Many advanced models that could enhance club performance are still not widely used and remain expensive. While there are many questions about the future of artificial intelligence in football, one thing is clear – the changes ahead will be exciting to witness.
