Last week, the footballing world celebrated the 40th birthday of the phenomenon that is Ryan Giggs, and it got us thinking about the performance lifecycle of a player’s career. So in this post, we use Kickdex performance data alongside player age information to gain insight into the peak ages for football players in the English Premier League.
At Kickdex we are passionate about investigating almost anything that can affect the performance of a team or a player in a football match. In this post we look at how rainfall on a match day could play a role.
Kickdex can be used in a number of different ways to gain insight into player performance. In this post we take a new look at Robin van Persie’s performance: first at Arsenal in the 2011/12 season, then at Manchester United under Ferguson in the 2012/13 season and finally under Moyes in the current season.
Using Kickdex to analyse Southampton’s controversial manager change.
In January 2013 few could understand the decision made by Nicola Cortese, chairman of Southampton, to replace manager Nigel Adkins with Mauricio Pochettino.
Is Robin van Persie the best?
Last season’s Premier League golden boot winner, Robin van Persie, was widely considered to be the top striker in the Premier League last season. So why is his Kickdex value, at the time of writing, only 10th highest among forwards?
How does Kickdex value new players?
New players to Kickdex start with the average value of all the other players being tracked. From the first second that they are introduced to the field of play his Kickdex value will start to move towards the true reflection of his contribution to the team, be it positive or negative.
Read how Kickdex worked with the Financial Times to show how English players just aren’t cutting it compared to their foreign colleagues
This is a guest post by Jamie Aspinall. When he’s not exploring football data for fun he can be found analysing revenue at Google.
For every ten attempts at goal during the 2012/13 Premier League season, approximately 4 missed or hit the woodwork, 3 were blocked, 2 were saved and 1 hit the back of the net. Here’s a detailed breakdown:
If we take ‘shots on target’ to mean those that were saved or scored, almost 1 in 3 of all attempts were on target. A quick glance at the difference between headers and kicks suggests that players were 4% more likely to test the keeper with a headed attempt (32.6% on target) than with a kicked shot (31.4% on target). This surprised us, so we set out to investigate further.