Charts for Tracking Data

This post illustrates some simple tracking data visualisations that highlight some interesting characteristics of player motion. To demonstrate I take some tracking data from a match played between Stoke and Liverpool in 2015. Stoke, the home team won this match 6-1.  Here's how the teams lined up (Stoke are [...]

By |November 13th, 2019|Categories: Football Analytics, On the Pitch|0 Comments

Learning to Love Plus-Minus

I have always been suspicious of Plus-Minus in football. Plus-minus is a statistical method for evaluating individual players in team games. It works by measuring the performance of a team when different combinations of individuals are on the pitch, and teasing out from that the contributions of each player.  [...]

By |July 4th, 2019|Categories: Football Analytics, On the Pitch, Recent Posts|2 Comments

Experiments on Clustering Possession Sequences (Part 1)

The fluidity of football is one of the main obstacles to analysis. Unlike baseball or cricket which are divided into discrete one-v-one plays, football plays consist of passing and dribbling sequences which may be long or short, cover the whole pitch or some small area of it, and involve [...]

By |April 16th, 2019|Categories: On the Pitch, Recent Posts|0 Comments

Football Players are 27 (±2). But What About Teams?

The Big 5 UEFA teams that qualified for the 2018 World Cup arguably contained some of the very best players in Europe. Their average age was 26.9 years; in the 2014 World Cup it was 27.2. and it was 27.5 and 27.4 in 2006 and 2002 respectively. In recent [...]

By |April 3rd, 2019|Categories: Recent Posts|0 Comments