The importance of data analysis in football

How Euro 2024 will benefit from data analysis

Traditional data analysis in sports

Traditional data analysis in sports began with simple statistical surveys and observations, often performed manually. In the early days of football, for example, these analyses were limited to basic statistics such as goals, assists, fouls, and playing time. Coaches and analysts used handwritten notes and spreadsheets to track the performance of players and teams. This data was then used to make basic tactical decisions and evaluate player performance.
The introduction of video recording in the 1970s and 1980s opened up a new dimension of analysis. Coaches could now watch games repeatedly to make detailed observations and analyze opponents’ strategies. Video analysis made it possible to study movements, positioning, and moves in more detail, which led to more informed tactical decisions.
Finally, in the 1990s and early 2000s, specialized software solutions emerged that supplemented manual data collection with automated systems. Statistics became more comprehensive and accurate, and it became possible to maintain databases that showed historical performance and trends. These developments laid the foundations for the modern data-driven approaches used in sports today.

The importance of data analysis in football

Football is a complex sport that is influenced by many factors. Data analysis makes it possible to understand this complexity and make targeted improvements. By evaluating statistics, moves, or player behavior, patterns can be identified, trends can be predicted and decisions can be made based on solid findings. Data analysis thus offers a decisive competitive advantage for clubs or national teams, which can use it to better assess their players, identify weak points in the game, and develop strategies that surprise the opposition.

1. Data analysis in training and match preparation

Data analysis has long been an indispensable tool in training and match preparation. Modern tracking systems record every movement of players on the pitch and provide valuable insights into running routes, sprint intensity, and positional play. By using GPS trackers, heart rate monitors, and biomechanical sensors, detailed data on the players’ movements, physical exertion, and heart rate during training and matches is collected. The collection and analysis of data on running routes, speed, passing accuracy, tackling, and other performance metrics help coaches and analysts to accurately assess the strengths and weaknesses of individual players. The most important performance indicators include running distance, maximum speed, number of sprints, passing accuracy, shooting accuracy, tackle rate, and ball contacts. These metrics provide a comprehensive overview of a player’s performance.
Based on this data, coaches can create individual training plans that are tailored to the strengths and weaknesses of the players and check how effective the training is. They can also use this data to identify injury risks and overloads at an early stage or optimize recovery after an intensive game.

2. Data analysis for player evaluation and scouting

In addition to training and match preparation, data analysis is also an indispensable tool for player evaluation and scouting. Modern analysis systems enable clubs and national teams to identify talented players at an early stage and assess their development potential.
Football clubs use a variety of data sources to gather information on potential talent. In addition to historical performance data from matches or training data, this also includes physiological measurements and even social media. With the help of analyses, algorithms for recognizing patterns and trends as well as machine learning, the most promising talents can be filtered out based on the data. At the same time, a player’s future potential can be assessed by analyzing growth rates in various performance areas, as well as physical development and technical ability. In this way, the best candidates can be selected as new additions to a team or young talents can be promoted. By analyzing statistics, moves, and movement profiles, scouts can also search specifically for players who fit perfectly into the game system or the respective team. In addition, conclusions can also be drawn about mental strengths, team spirit, and leadership qualities – characteristics that are often crucial to a player’s success.

3. Data analysis for match analysis and tactical decisions

Data analysis also plays a decisive role in tactical decisions before or during a match. Real-time information about moves, possession rates, and goal-scoring opportunities enables coaches to react quickly and in a targeted manner to win a game. For example, coaches can use the data to make substitutions to turn the momentum or adapt their tactics to the circumstances of the game. In addition, analyzing performance data can also help to review and continuously improve the effectiveness of training methods and tactics.
But data analysis can also help in preparation for a match. For example, an opponent analysis can help to understand the opposing team’s style of play, tactics, and individual players to identify their strengths and weaknesses. This allows counter-strategies to be developed that are tailored to the specific characteristics of the opposing team, and optimal preparation for the match can take place.

4. Data analysis for injury prevention

Injury prevention is another area in which data analysis plays a crucial role. By monitoring training and match data, clubs can identify signs of overuse or impending injuries at an early stage. Technological tools such as GPS trackers and heart rate monitors collect detailed data on the physical strain on players. This data is analyzed to create individual stress profiles and adapt training plans accordingly. Biomechanical analyses help to identify incorrect strains and initiate targeted corrective measures. Regeneration monitoring using sleep and recovery data ensures that players regenerate sufficiently even after intensive matches or training sessions. Preventive training programs and individual recovery strategies therefore help to avoid injuries and keep players fit in the long term.

5. Data analysis and fan engagement

In addition to the impact on match operations, data analysis also offers enormous potential for fan engagement. By evaluating spectator data, social media interactions and ticket sales, clubs and tournament organizers can tailor their offers and marketing strategies precisely to the needs of fans.
In addition, innovative data visualizations and interactive tools can offer fans an even more intense tournament experience. Whether it’s the ability to view moves from different camera angles, track statistics, predict winners, or even create your line-ups and tactics, Euro 2024 will certainly set new standards.
Ultimately, it’s about igniting the passion of the fans even further and involving them even more in the action. Data analysis can be a powerful tool to deepen the connection between fans and the club or national team.

Conclusion

Data analytics play a crucial role in modern sports, especially in football. From player evaluation and training management to fan engagement, data provides valuable insights that enable clubs and national teams to optimize their performance and gain a competitive edge. With Euro 2024, the importance of these technologies is once again clear, as teams and fans alike can benefit from deep insights and improved decision-making.
Similar to football clubs, companies are also using business intelligence software like myPARM BI^act to maximize their performance and make strategic decisions. While myPARM BI^act tends to be used for operational analysis, parallels can be drawn with the use of data analytics in sports. Both applications are based on the systematic collection and analysis of large amounts of data to make informed decisions. Just as coaches use detailed performance data to optimize the use of their players, companies can use BI tools to efficiently manage their resources and achieve business success. Both worlds benefit from the precise analysis and interpretation of data to make continuous improvements and secure a competitive advantage.

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