Euro 2016 – first round of group matches, model assessment

As expected the first round of group matches has been low scoring, with an average of  1.83 goals per game, this is even lower than the historical average 2.10. Strangely though we haven’t seen a 0-0 draw, with match results clustered around a few outcomes: 1-0, 1-1, 2-0 and 2-1. My model expected a total of 25.6 goals…

Euro 2016 – full projection

After creating attack and defence ratings for the 24 Euro 2016 teams, based on their underlying squad strength (as described here), I can run simulations to look at the likelihood of different tournament outcomes, including the winner. My projection simulates the score of each match for 5000 different possible tournament outcomes – including potential extra time…

Euro 2016 – Assessing international teams

International football is difficult to analyse. Unlike domestic league football, where vast quantities of data exist to assess team and player performance in a variety of conditions, negligible relevant data is available for international football. It is, by its nature infrequent – so tournament line-ups may bear little resemblance to those of previous matches –…

States of play and the importance of flexible tactics

Most metrics used to analyse football are accumulated over a whole match – for example, goals, shots and shots on target. Even Expected Goals, the new paradigm for football analytics, which takes multiple information (e.g. distance, angle and type of shot) to assess the goal-scoring likelihood of each chance, simply accumulates these values over the…