We have seen many sports companies use technology to improve their players and teams. There are some new technologies like AI and Big Data, IoT, and AR/VR, these tools are used to make the game more interesting.
Today we will discuss predictive analysis and how it is used in sports.
The predictive analysis is unimaginable, this tool is used to predict the outcome of any sport. In simple words, it’s a technical tool that analyzes the players and teams based on previous performance data and predicts higher chances of winning the game.
In 2004, sports predictive analytics was used on a baseball player, the Boston Red Sox, who won three World Series titles after 86 years of losing. Now, let’s delve deeper into the topic with some questions.
Like basketball, and baseball cricket is a game where numbers play a big role. Every analyst uses statistics and metrics to measure players’ performances, but it is not limited to batting and bowling, metrics are used for fielding, player selection, and overall game performances. Some metrics like batting average, bowling economy, net run rate, etc. help coaches and analysts understand a team’s strategy, a player’s form, and game prediction. In this article, we will discuss how all the key metrics are calculated with examples.