In their quest for sporting and commercial success, football clubs have to pay particular attention to the following three aspects of running a football business:
If one of them changes, this will have an impact on the others. It is the economic sports cycle, where better performance leads to more revenue and so on. In our view, the fastest way to adjust this cycle in a positive way is to focus on performance first.
That is why, in our models, club and player performance are our starting points. Let’s say, for instance, that a club wants to buy a new player. Remiqz applies a top-down approach first, by analysing the club’s current and desired performance level and a player’s potential performance level. Only as a next step, our analysts combine this with bottom-up data and combine the insights. Let us explain in more detail.
Whatever question we are trying to answer, we usually start with an analysis of the of the current performance of a club. We do this by looking at the GlobalClubIndex, which has already been developed in 2007 by Hypercube. The GCI is an objective ranking of football teams which shows their relative quality at a given point in time. Given a specific total player budget, we can calculate where clubs should be on the GCI index and where they currently are. In this way, we can see whether the clubs are under or overperforming. Please click on the video below if you want a more detailed explanation of the GCI.
Now that we know where clubs are in terms of achieving their goals, we also need to translate this to the necessary quality of players. For this, we have developed the GlobalPlayerIndex. The GPI is a unique ranking of individual players. It objectively measures the added value of each individual player to the overall team performance. This is done by looking at the change in the team’s winning odds during the time that the player was on the pitch. Have a look at this video for a detailed explanation.
Suppose the ambition of a club in the UK Championship is to be in the top 6 next year, in order to reach the playoffs. With a probability of more than 92%, we can predict how many league points this would require. Next, we can calculate what the average GlobalPlayerIndex needs to be. We can compare this against the current players, determine areas for improvement are and translate it into minimum requirements for individual players.
When the top-down analysis is done, we continue with our bottom-up analyses. This can be player tracking data, match event data or even social media data. Of course, we can also incorporate the club’s own customized data.
Our data-scientists compare these data with the findings from the top-down analyses. As a result, we deliver valuable insights on the basis of which our clients can make decisions.