Set Pieces: The New Market Inefficiency?

Here we have a graph. Sick right? Right. The X axis is the percentage of a team goals that are set pieces, the Y axis is the team goal differential. As Continue reading →

Stats (!)

I’ve gotten a lot of requests for my stats, so if you would like to see the stuff I’ve created they’ll be on the Menu bar on the homepage under Continue reading →

Analyzing A Team’s Style Of Play Through Stats

In more of my piping hot 5 alarm soccer analytics research, I discover in this article that, in fact, Stoke can be considered a direct, long ball team! ——————————– So, Continue reading →

How Much Of A Difference Do Penalties Make?

Penalties are kinda dumb, really. And there also kind of random and subjective. Any infraction of the rules that goes on in one’s own box results in a goal like, Continue reading →

What Formations Are The Most Successful?

Keeping with my series using Opta data from the 2011/2012 EPL season, let’s look at what formations were the most successful, ranking them by goal differential per game. Goal +/- By Continue reading →

Moneyball: What It Is And What It Isn’t

  QUIET. THE GREAT GRANDMASTER OF SABERMETRICS SPEAKS: On a funny note, myself, Paul, Dan Feinstein (video coordinator) and Steve Vucinich (Clubhouse Manager) four years ago all had a mock Continue reading →

Finding Context Part I: Quality of Teammates and Competition

This long piece results in the creation of a different way of looking at a player’s goal tally by taking into account both the teammates he had to play with Continue reading →

Getting Enough Context To Make Stats Useful

Soccer isn’t baseball, okay. And the way we objectively and statistically analyze the two sports have to therefore be drastically different. The biggest thing that makes analyzing baseball so great Continue reading →