Can Statistical Analysis Explain Soccer? – Revisited

A quick google search for ’soccer statistics’ pulls up an interesting article in the New York Times from 2008.  With quite an impressive comment section as well.

According to the by-line “Carl Bialik examines the way numbers are used, and abused.”  The article is somewhat well written, explaining how teams are using much more advanced statistical tracking programs such as Pro-Zone, and what the right applications are for those programs.  Also, chalking up pure luck to the success of many soccer teams (which is completely false in my opinion.)

The benchmark for sports statistics is Sabremetrics, and the book Moneyball, written by Michael Lewis.  In it, Lewis describes the rise of the Oakland A’s baseball team through the use of complex statistical analysis to best predict the outcome of a match.

Moneyball: The Art of Winning an Unfair Game is a book by Michael M. Lewis, released in 2003, about the general manager of Major League Baseball’s Oakland AthleticsBilly Beane, and his rather unconventional approach to running that organization. The central premise of Moneyball is that the collected wisdom of baseball insiders (including players, managers, coaches, scouts, and the front office) over the past century is subjective and often flawed. Statistics like 60 yard dash times, RBIs, and batting average that are typically used to gauge players are relics of a 19th-century view of the game and the statistics that were available at the time - ArmChairGM

The divide between soccer and baseball is the fluidity of the game.  Baseball can be determined by a few variables (pitcher, batter, count for instance) whereas in soccer, there are hundreds of variables which come into play each time a statistic is kept.

Critics state, “Statistics cannot accurately predict the score of a game, because numbers alone cannot predict a player’s performance.”

Exactly, we all know that.  Anyone who thinks stats can predict the outcome alone is foolish.  Soccer is a game that is often decided by a few events which result in a goal or a defensive lapse conceding a goal to your opponent.

If you know your right back is not able to string passes out of the backfield to the midfielders, then maybe it is time for a switch.  Most teams do not keep track of stats, so they don’t know the time to replace a player, and when to keep him in.

The important idea to remember is a combination of statistics and a coaches intuition can greatly improve your chance at winning, or fielding the most successful team out of your given options.

3 Responses

Stats in soccer are so variable, and the problem for 99% of coaches is gettting them recorded.

This is a real cool Podcast from EPL Talk, with the Performance Director at Chelsea FC. He gives a pretty good overview of how the pro soccer clubs are starting to take the data analysis side of the sport a whole lot more serious.

http://bit.ly/bVOhWn

Johnny J

What I dont get is how you can compare soccer to baseball. Baseball stops and starts. Soccer freeflows. I have enough problems wathcing the game. Do you suppose we keep a record of all passes or positive plays?

Pedro TT

Stats do not necessarily explain soccer, but rather help coaches better prepare there teams to understand the keys to a successful match. By allowing extensive coverage of statistical categories the coach is then able to better his preparation and his approach towards his players.

Just like in any other sport stats have some fact that comes along with them. In baseball avg can lend one to believe the player does not strikeout a lot and gives the team (on average) a better chance of getting a hit. In soccer turnovers and shots on goal may be key for one team, and corner kicks and defense may be key for another team.

Stats really can be taken in different ways. Some people emphasize on certain stats and some believe other stats are just as important.

Corey R
Add your comments