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Big Data Sports Analytics: The great ally of sports performance
Big Data has become a much-used term, but its usefulness in the real world is not always clear. In sports, its application is revolutionising the way in which athletes' performance is analysed and their training and competition methods are adapted.
From the massive collection of data to the moment of its interpretation with advanced algorithms, Big Data is transforming both the work of professionals and the user experience of amateurs.
Technologies ML | Cloud | AWS | Performance Analysis Systems | IMU | GPS | GPS
What is the motivation?
The evolution of the world of sport has led to unprecedented levels of physical, technical and tactical demand. Different disciplines require increasingly trained and precise athletes, so being able to detect key differences in performance requires more complex tools than ever before.
The transformation of sport has made it essential to use Big Data as an advanced analysis tool, as it is capable of providing detailed information in real time and optimising the performance of athletes and technical teams.
Program aims
Define the concept of Big Data and its relevance in the field of sports.
Identify the key benefits it provides, such as improving performance, personalising training or enhancing the viewer experience.
Analyse the challenges facing the implementation of Big Data, such as data quality and collection, or the lack of standardisation.
Examine the distribution of sports data in various areas, such as training, athlete performance, analysis and statistics.
Development
The use of Big Data varies according to the sports to which it is applied:
Formula 1Motorsport requires continuous data collection on the performance of the cars, so that we can analyse what can be improved to ensure performance continues to improve. Sensors in the car collect the data, which is then analysed by engineers and data scientists using the Cloud (thanks to F1's agreement with AWS) and Machine Learning.
FootballBig Data: the beautiful game not only applies Big Data on the pitch, analysing the performance of players and different strategies, but also makes it possible to select the most suitable signings based on their data and statistics. The level of detail obtained makes it possible to evaluate different trends, but also to bring the data closer to the spectator by displaying it in a visual and understandable way.
TennisThe spectator of this sport is used to seeing the result of Big Data even if they are not aware of it, as the Hawk-Eye shows them the real trajectory of the ball. The various sensors and cameras collect data on every aspect of the player's and opponent's movements, giving the spectator a live analysis of what is happening on the court in a simple and visual way.
Volleyballbeing a sport with a smaller number of players and spectators does not mean that Big Data has left it aside. IMU and GPS technology allows 3D movement tracking of players to adapt the way they play to the team, while Video Challenge works in a similar way to Hawk-Eye, assisting referees and teams in reviewing bounces and plays.
Results
The use of Big Data and the conclusions that can be drawn from massive data analysis have revolutionised the way athletes, technical teams and fans understand sport. In more technical and high-precision competitions, it allows for all kinds of advanced forecasts and warnings of factors that deviate from the norm in real time, while in other areas it represents the data in a visual and intuitive way, facilitating its interpretation and becoming a support tool that reduces complexity.
The use of Big Data not only represents a competitive advantage for those who use it, but has become a necessity to respond to the demands of today's professional sports performance. Thanks to its ability to transform large volumes of data into useful and actionable information, Big Data has become a key tool to improve training, prevent injuries, optimise strategies and offer a highly immersive spectator experience.
English (UK)