Can Soccer Always be Explained By Statistics?8861128

Can a game since fluid and - many would claim - nuanced, and even classy, as the game of soccer is, be discussed by statistics? In the end, there are hundreds of variables which all come up during each and every little league match - as well as, in some cases, pure luck seems to be a determining factor in winning the game. A player's overall performance in that particular match surely cannot be discussed by the numbers by yourself, so those unknowns is not discounted neither.

Can any win or lose in the game of soccer always be attributed to something as unpoetical as numbers, skeptics wonder. Soccer supporters have never demanded over to know the rating, and time elapsed. Unlike those committed to baseball, soccer web sites typically display just a handful of categories that may be useful for statistics: targets, assists, shots, photos on goal, game-winning ambitions and game-winning assists. Considering those, one could deduce that soccer is just not a numbers sport.

Still, in this ages of big data, even a game as free-flowing, variable and seemingly unforeseen as the soccer undoubtedly is, has started to adopt data analysis a lot more seriously. It was only in 1994 that FIFA has started checking assists, but now it looks like the game of soccer  may be on a fence of statistical emerging trend. The biggest clubs, just like Arsenal, Real Madrid, Chelsea or Manchester United, have already spent thousands and thousands on statistical files analysis.

However, it looks like top clubs plan to keep the data for themselves! They have staff members committed to interpreting the data that has been generated on their matches. It seems like they are not way too keen on making the techniques they use to do so freely debatable. They prefer for their services internally, to their crew's advantage.

Data evaluation companies they use will watch a live feed of the game, chart any specific action, enter pretty much everything data into a database, and crunch your numbers. Statistics for example individual player details, number of passes, amount of balls lost and won, and others, will be revealed. While it appears as if the resulting amounts still can't properly predict who will earn the game, they can show you a lot about the quality of the game. For example, any team's number of touches is found to correlate with his FIFA rankings.

Still, unlike baseball and other similarly organized sports, analyzing little league data is hard. But, there is no going back to hunches-only tactic any time soon.

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