Artificial Intelligence is now taking over many fields after its experimentation has shown positive results. Sports have not been left out, with most relying on automated systems to collect and analyze data. With daily innovation and new technologies, it impacts every aspect of competitive events, offering valuable insights.
The Premier League is one of the world’s most prestigious competitions, with 1.8 billion fans from over 189 countries worldwide. In July 2025, the organizers announced a partnership with Microsoft Corporation aimed at modernizing the league’s digital infrastructure. The coming together is expected to enhance fan engagement by providing them with access to vital statistics.
Keep reading this article to find out more about how AI analytics can influence the EPL odds and how fans read the numbers.
Analyzing the EPL is Now About Data
Compared to previous years, the new Premier League season has seen significant changes in how teams play and acquire talent. Essential aspects of the game, such as Expected Goals (xG) and fitness trackers controlled by AI systems, now provide teams with a wealth of information to improve.
Most clubs now have dedicated departments that track players to get details on stamina, movement patterns, and optical tracking. Simple stoppages, such as fouls in the game, especially set pieces close to the goal, now rely on technologies like heatmaps to increase the chances of scoring.
Outside the playing fields, AI analytics also offers a new way for fans to engage with their favourite teams. Platforms like Sportsbet and other major sportsbooks now offer live match data analysis tools to help visitors track stats in real-time. Some have dedicated apps with interactive dashboards that show team analysis and player prop models.
Here are some of the ways managers analyze EPL games.
Performance Metrics
As a football fan, you might have noticed extra equipment being carried by players under their jerseys. This technology is designed to collect information during matches or while training. The data acquired can then be used to evaluate their performance and set EPL odds depending on previous appearances.
Here are some of the indicators.
- Expected Goals (xG) and Expected Goals Against (xGA) – These two stats indicate the chances of a team scoring or conceding. xG assigns a probability to a shot resulting in a goal, with a value ranging from 0 to 1. From this data alone, fans can determine if a team creates and scores its chances. xGA, on the other hand, measures the chances the team allowed. It demonstrates the team’s defensive strength.
- Pressing Intensity (PPDA) – A key aspect of defending in football is pressing the opponent to win the ball back and prevent them from scoring. Pass Per Defensive Action (PPDA) measures the intensity of the team during this period. A lower value indicates high and aggressive pressure, while a high PPDA shows a conservative approach.
- Pass Completion Rates and Possession Time – Passing is a fundamental part of football, whether it involves long kicks from goal or short midfield exchanges. AI analytics calculates the pass completion rate by dividing completed passes by the total attempted passes. Possession time indicates how long the team had the ball, and it is usually represented as a percentage.
AI-Powered Scouting
Big teams always take time to find the next big stars in football. Recently, most of this work was done by scouts who had to attend matches or watch as their potential targets played physically. However, the work is now easier thanks to AI models and Algorithms. These systems can scan data from around the world, providing scouts with a wealth of information about players.
With so much information available, including pass completion rates, xG, and pressing efficiency, clubs will make more informed decisions about their future investments. Some of the teams already benefiting include Brentford, who were looking for a high xG striker, and Brighton, who focused on midfielders who can maintain high possession.
Load Management
EPL coaches must closely monitor their teams to identify weaknesses that opponents can exploit. This means ensuring every player is physically fit and plays according to the instructions given. With the advent of AI, Advanced analytics tools are used to track fatigue, injury, and the overall health of a player. The technology provides valuable insights into injury risk, workload, and consistency.
Most clubs deploy devices, such as wearable watches, during training and vests during matches. The aim is to reduce the risks of injury, improve consistency, and adjust workload. For example, teams like Manchester United and Tottenham Hotspur have implemented rotation and recovery procedures based on player performance.
How Betting Markets Use Analytics
Most bettors are not thinking about the use of AI in betting, mainly when they are focused on placing that live wager. Most of the time, they will be thinking about everything that could affect the outcome of the match. As they wait for the result, many things can happen, including injuries and changes in weather conditions.
This information is essential because it determines how bets will be placed. Furthermore, they can be used to provide real-time insights into how an event may unfold based on current conditions.
Here are some AI use cases in the betting markets:
- More Accurate Odds – Before a player places any bet, they first look at the odds for each team. To obtain these values, sports betting platforms utilize AI systems to analyze various factors before the game. This includes player statistics, weather patterns, and live game feeds.
- In Play Betting – Apart from placing bets on ongoing matches, sportsbooks usually have an option for in-play betting. The options allow visitors to wager on ongoing events if they missed them or if they find good odds. AI plays a crucial role in this situation by dealing with real-time information.
- Personalized Experience – Every bettor is different, and they have particular sporting events they prefer to wager on. An AI system can monitor their actions as they keep playing and then provide a customized experience. This includes receiving recommendations and notifications tailored to individual needs.
- Fraud Detection and Risk Management – As stated earlier, AI can process a ton of information when evaluating different scenarios. With fraud on the rise, these systems can identify patterns that can help mitigate the risks. Such issues include match fixing or fraudulent betting activities.
Examples of Tools Fans Rely On
The new age of fans is not just about watching football, but they also track the numbers. Some may opt for the Premier League app, while others prefer third-party tools that facilitate easier trend spotting and odds analysis.
Here are some of the places to find insights.
- Premier League Companion – This is an AI assistant powered by Microsoft Copilot. It is the official Premier mobile app, featuring data and statistics from over 30 seasons. Upon installation, players will gain access to in-game updates, historical events, and a personalized profile.
- Oracle Cloud – After signing a partnership with Oracle, EPL statistics are now available in their Cloud. Players will find plenty of details, including attacking threat, average positioning, and win probability.
- Mobile Apps – When you visit the Android Google Play Store or Apple App Store, you will find multiple applications with football analysis. Some popular options include SofaScore, FlashScore, and FOTMOB.
- Social Media – The internet has numerous social media channels and communities that share analysis of EPL games. Bettors can find videos on platforms like YouTube or live discussions on Reddit. However, the information on these sites should be verified first before being used for decision-making.
Ethics and the Future for EPL Fans
As AI continues to reshape the sports betting market, various parties involved raise ethical concerns. Technology makes everything easier, but addition and transparency are still problems for many people. For the future, it is expected that AI will maintain integrity while also ensuring the wellness of bettors. The new era is not only about luck but a disciplined practice backed by data and analysis.
The EPL has also introduced a new way to interact with teams and players. The Premier League Companion app from Copilot will help players find more information before placing their bets. When released to the public, it will enhance engagement, offer analysis and insights, and encourage organizational productivity.
