Category Archives: League 1

EFL timelines, 5-7 Jan 2017

e361pitch

A quick explanation You can skip this if you’ve seen these before. As usual, here are timeline graphics for the latest round of matches. There’s a full explanation of these here, but in a nutshell they track how each club’s expected goals tally (the number of goals that the average team would have scored from the chances that they created) increased over the course of

Read more

League 1 timelines, 2 Jan 2017

e361pitch

A quick explanation You can skip this if you’ve seen these before. As usual, here are timeline graphics for the latest round of matches. There’s a full explanation of these here, but in a nutshell they track how each club’s expected goals tally (the number of goals that the average team would have scored from the chances that they created) increased over the course of

Read more

League 1 previews, 2 Jan 2017

l1-2017-01-02

Below are the individual preview graphics for each game in the forthcoming round of fixtures. These smash together minimalist versions of two visualisations: each club’s E Ratings and their relative positions on the attack and defence scatter graphics. I’ve explained them fully here, but in summary they’re intended as a simple pre-match comparison of two teams using high-level performance data. The graphic

Read more

How much time has each club’s most-used 11 players spent on the pitch together?

pl-most-used-xi-2016-12-31

The short answer is a lot less than you might think. When Leicester and Burnley won the Premier League and Championship titles last season using a small core group of players, I wrote some code to work out how long their most-used combination of 11 players had been on the pitch together, expecting a ridiculously high number. While no club in

Read more

League 1 timelines, 30-31 Dec 2016

e361pitch

A quick explanation You can skip this if you’ve seen these before. As usual, here are timeline graphics for the latest round of matches. There’s a full explanation of these here, but in a nutshell they track how each club’s expected goals tally (the number of goals that the average team would have scored from the chances that they created) increased over the course of

Read more
« Older Entries Recent Entries »