Clubs can use velocity tracking with a GPS to measure how much work is performed (the external load). This allows us to even predict injuries before they happen…Ī football team’s training loads can be monitored, measured, and managed more precisely than ever before.
Thanks to the Internet of Things, we now have a much wider range of data available to us. With a data literate team this will allow them to plan for the future and to budget.Ĭharles Reep used a pencil and paper to collect his findings. However, the use of actual football analytics outside of matches is not as well known.Ĭlubs gather large databases of their own subjective information on players. Building a fan profile, and using web analytics has helped sponsorship departments to fill seats and sell merchandise. However, football analytics is not just for on the pitch…įootball clubs have benefited from analytics on the business side. Football analytics allows you to take the guessing out of recruitment. Data captured from tools (such as trackers and cameras) should be analysed and augmented with other data. A better approach is to use a player’s past statistics, as well as machine learning to deconstruct your footage to create a more complete picture. Having video footage of a player you’re scouting and making an educated guess about their ability is one thing. Using data instead of only reputation and scout’s intuition, was literally a game changer. The key question explored was how Oakland scouted and recruited a competitive team, despite operating on a shoestring budget. Lewis showed that baseball game data could answer specific questions. The book dove into the use of analytics in baseball, called Sabermetrics (Saber is short for the Society for American Baseball Research). Utilising data-driven tools for opposition scouting and player recruitment entered the public’s awareness following the book (and consequent film) Moneyball, by Michael Lewis. When constructing a team, you would be wise to accept the assistance of football analytics. Recruiting the best team with Football Analytics
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Therefore, it’s advantageous being able to analyse a team’s history of free kicks and corner kicks to choose who should take the kick, and who should be ready to receive it.
For instance, some football analysts have estimated that a third of goals are scored after a set piece (where the ball is stopped, and returned to play). This is where football analytics truly excels.
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After all the goal itself is not all that interesting, it’s the series of events that built up to it.
Football Analytics goes deeper than the score. This was the humble beginnings of football analytics.Īs anyone who has watched football knows, the score at the end of the match does not provide an effective summary for most matches. Reep’s long ball strategy worked, allowing teams to get that all important third goal. He deduced from football match data that the majority of goals were scored from fewer than three passes, and that it was therefore advantageous to move the ball forwards quickly. A team’s chance of promotion depended on this extra goal. Reep was convinced that a small change could make a team score three goals per match instead of two.
Although it might seem like a new field, the discipline extends back to Charles Reep, an accountant in the British Royal Air Force.Ĭharles Reep’s football observations gave us the idea of the ‘long ball’.
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