All posts by Ashwin Raman

Creator of thefutebolist.wordpress.com. Blogs about soccer analytics. Contact: thefutebolist@gmail.com

The Chance Analytics Data Visualization Competition

Data without visualization is just a list of incomprehensible numbers. A good data viz can tease out information, tell a story, and make data memorable. When it comes to football, visualization is crucial. It can make data and football more accessible and interesting to a larger audience (like what Ted Knutson did with the radar) and aid the player/opposition scouting process at clubs.

Continue reading The Chance Analytics Data Visualization Competition

Advertisements

A look at Graham Potter and his exciting Östersunds FK

When it comes to football and coaching, England’s trade deficit is less than ideal. People like  Arsène Wenger, José Mourinho, Mauricio Pochettino, Claudio Ranieri, Antonio Conte, Jürgen Klopp, Pep Guardiola and now Marco Silva have taken charge of Premier League clubs and have significantly improved their clubs’ fortunes. Right now, there are 16 non-English managers in the English Premier League.

Continue reading A look at Graham Potter and his exciting Östersunds FK

Exploring the uses of clustering: Individual Shot Cluster Zones

By Freddie Wilson – @thewonderofmu

There are many approaches to visualising shot location data. It can be tricky finding the right balance between the amount of information on display and the ease of use or intuitiveness. There is a plethora of categories and subcategories that can be considered such as the player taking the shot, the danger of the shot and whether the shot resulted in a goal.

Continue reading Exploring the uses of clustering: Individual Shot Cluster Zones

How in the World Does Nice Overperform Expected Goals? Part Two: The Attack

This is part two of a two-part series explaining how Lucien Favre’s Nice overperform expected goals, that cool new stat they show on MOTD, by a huge margin. Part one explained how Nice’s defence overperform expected goals against (xGA). In part two, I explain how Nice’s attack overperform expected goals for (xGF). Let’s jump right in.

Continue reading How in the World Does Nice Overperform Expected Goals? Part Two: The Attack

Understanding Zizou’s Success: How Squad Rotation Can Be studied

Vignesh Velu – @noobiefootball

I developed a model to study squad rotation. I looked into every team’s squad rotation in La Liga.

The playing time of players is always tricky. Too much players will end up having injuries or exhausted for the final stages. Too little it affects the players’ development or their confidence. It is always essential to find the right amount of minutes. They are not Supermen (apart from a few). It is a far more critical thing if you are in multiple competitions. A player becoming injured without a clear replacement will make it worse for teams.

Continue reading Understanding Zizou’s Success: How Squad Rotation Can Be studied

The Science Behind the Perfect Penalty

By Freddie Wilson – @thewonderofmu

The Placement of Penalties

The award of a penalty brings the expectation among fans of a goal, but what does the data tell us about the specific probabilities of success?

Continue reading The Science Behind the Perfect Penalty

How in the World Does Nice Overperform Expected Goals? Part One: The Defence

Part one of a two-part series. Here’s part two.

After a strong season under Claude Puel in 2016, finishing 4th, Nice got even stronger under the control of Swiss manager Lucien Favre, finishing 3rd in Ligue 1 and securing a Champions League qualifying berth in 2017. However, as a (self-professed) stats guy, I like to look at Expected Goals – soccer analytics’ most popular model – to see if the league table lies.

Continue reading How in the World Does Nice Overperform Expected Goals? Part One: The Defence