Moneyball’ing Football
The Americans
are obsessed with stats, especially when it comes to sports. So it isn’t a
surprise that when they hosted the football (soccer) World Cup in 1994, they
showed (what seemed to me) ridiculous stats like how much time each team had
possession of the ball, or how many fouls each team committed, or how many
shots at goal were on-target. Who cared, I thought? After all, what mattered
was whether your side won or not. Except that today, such stats are shown in
football matches all over the world.
But does any of
these sport stats have any practical use, I wondered? The Brad Pitt starrer
about a true story, Moneyball, answered
my question:
“The general manager of the Oakland
Athletics baseball team, Billy Beane, used statistical analysis to find
undervalued players according to one or two key metrics. It worked: the
Athletics went on a record-breaking 20-game winning streak in 2002.”
But isn’t
baseball a totally different kind of
game than football? The Economist
article I quoted above agrees:
“Baseball is a sport with closed,
distinct plays, as well as a history of statistical analysis. Football matches
are more dynamic, and the interactions between players are complex.”
All of which
means that stats are useless in football, right? Not so fast. Turns out that
the use that Billy Beane found for stats can probably be applied in football as
well: to find undervalued players with similar skills as their more fancied,
well known peers!
There are sports
data companies recording each tackle, pass and other “events” in each game in
the English Premier League (EPL). Crunch all that data and you may find that
the league’s top scorer may just be hovering around the opponent’s goal whereas
another guy who scores fewer goals might be involved in a lot more passes and
build-ups leading to goals. And if the latter is priced far less, he might just
be the steal you could afford on your smaller budget.
Maybe the sequel
to Moneyball will be about a Brit
football team manager…
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