Statistical analysis is being used extensively in all sorts of sports now-a-days. However the growth of analytics in soccer has been quite slow, mainly because of its orthodox nature. Hence, enters Thomas Bayes’ famous theorem, the Bayes’ theorem, according to which, the chances of an event taking place, is updated, by integrating the former chances of its occurrence and the new information that might affect its prospect. The Bayes’ theorem completely encourages the use of analytics to revise our perspectives regarding players and teams. Stats refer to raw data collected from each match regarding both the individual player’s performance and the performance of the team as a whole. Analytics manipulates this data, thereby extracting the desired information, which helps in predicting future game scores. Read more at:

http://www.sportsnet.ca/soccer/soccer-analytics-premier-league/