Sports

Big data can be used to improve training and understanding competitors, using sport sensors. Besides, it is possible to predict winners in a match using big data analytics. Future performance of players could be predicted as well. Thus, players’ value and salary is determined by data collected throughout the season.

The movie MoneyBall demonstrates how big data could be used to scout players and also identify undervalued players.

In Formula One races, race cars with hundreds of sensors generate terabytes of data. These sensors collect data points from tire pressure to fuel burn efficiency. Then, this data is transferred to team headquarters in United Kingdom through fiber optic cables that could carry data at the speed of light. Based on the data, engineers and data analysts decide whether adjustments should be made in order to win a race. Besides, using big data, race teams try to predict the time they will finish the race beforehand, based on simulations using data collected over the season.