Stats, smart performance indexes
and data visualization.
DATA APPLIED TO FOOTBALL
Do you want to become a football analytics expert?
FROM COMPLEX DATA TO
Start with the most common stats, such as the number of goals and assists.
Continue by discovering the usefulness of "per-90-minutes" data, which allows you to fully compare players.
Finish the journey with one of our machine learning algorithms , for example the one that automatically finds the most similar players to any footballer, based on their performance: a very useful scouting tool to discover unknown talents.
SOCCERMENT PERFORMANCE RATING
The Soccerment Performance Rating (SPR) is designed to transform complex statistics into accessible and actionable insights, to facilitate football talent discovery.
We take into consideration all the available information on the technical events:
(every icon is associated with a player... click on them!)
...and many more! We turn them into "per-90-minutes" stats, weighting them for their importance to the team's results, with different weights depending on the player's tactical role.
SPRs are assigned to players who have played at least 270 minutes , in order to have statistical relevance. Then there are a number of adjustments that we apply, to make the ratings as fair as possible, including:
Bring out the Analyst in you!
PLAYERS AND COUNTING
Our database keeps growing and is currently made up of more than 8.000 players, across 14 different leagues , in 9 countries.
We show the stats of all players and teams of the first and second divisions of England, Spain, Italy, Germany and France. Furthermore, we include the Eredivisie (Holland), Primeira Liga (Portugal), Süper Lig (Turkey) and the Jupiler Pro League (Belgium).
COMPARE ANY PLAYER WITH OUR SPIDER CHART
Spider Charts are - in our view - the best way to visualize performance and compare players.
To do so we use seven indexes , derived by a series of proprietary algorithms developed by our Research Team, that - as for the Soccerment Performance Rating - we adjust considering the league, playing time and other factors.
For this index, the algorithm developed by our Research Team takes in consideration all the main defensive actions (such as tackles, clearances, ball recoveries, etc), along with their end results (clean sheets, goals conceded). For the goalkeepers, it obviously takes in consideration also all the saves and the shots on target against. If a goalkeeper and/or a defender have higher-than-average success ratios on defensive actions and they are part of a team which is able to concede a few goals, then it is highly probable that they perform well on this index.
The physical characteristics of the players (including height, weight and the body mass index) are blended using the internally-developed age curves. Goalkeepers and physically-strong strikers generally do well on this index.
Attempting 120 passes per match is not enough to do well on our Passing Index, as this favours the most audacious passes (for example, the forward passes and the long passes). The index also distinguishes for the location of the passes, obviously applying higher coefficients to the ones made in the last third of the pitch. Playmakers, like Frankie de Jong, Sergio Busquets, Marco Verratti and Jorginho generally do well on the Passing Index.
If you are looking for a creative attacking midfielder or winger, keep an eye on the Vision Index. Our Research Team developed it by putting a lot of emphasis on through balls, chances created and second assists, apart from – of course – assists. Kevin de Bruyne and Dimitri Payet are often among the main contenders for the top spot on this index.
The Attacking Index, unsurprisingly, favours the strikers who are able to: often touch the ball in the opposition box, take many shots from favourable positions, have a high shooting accuracy and – ultimately – score a lot of goals. Robert Lewandowski, Cristiano Ronaldo, Kylian Mbappé and Sergio Agüero are often top-ranked here. Not a surprise, right?
It is not only the number of dribbles that a player attempts, but the percentage of the successful dribbles, to make a player King of the Dribbling Index. At the time of writing, Lionel Messi is King, with 7.9 attempts per 90 minutes and a 74% success rate.
If a player is much taller than average, wins more aerial duels than average and – from time to time – also scores with magnificent headers, then it is highly probable to see the player topping the Heading Index. Definitely an Index for the Chris Wood’s and Leonardo Pavoletti’s of the world. For a full list, see our research here.
Find the most similar players - based on their performance - to any player: a scouting tool very useful for discovering unknown talents.
COMPARE ANY TEAM WITH OUR RADAR CHART
While for the players we use the Spider Charts, for the comparison of the teams we make use of Radar Charts. Yes, they look similar.
There is one big difference though: whilst the former display our Performance Indexes, the latter show the teams' six key stats per 90 minutes.
Let's compare the key stats of the team in question (in blue) with the average of the statistics of all the other teams (in bianco) of the same league.
When the statistics are better than the average they are highlighted in green, in red if worse.
In the example below, the much larger area of the Dortmund Radar Chart is clearly related to the good position of the team in the Bundesliga (third at the time of writing). Out of 12 KPIs, Borussia performs for 9 times much better than the average Bundesliga Team, underperforming only in the percentage of saves which is 54.3% against the average 67%.
On the right of the Radar Chart, some more key stats - expressed in per-match data - deepen the provided analysis.
In order to assess the defensive skills of the teams, we put:
The build-up ability is represented by:
Finally, the offensive production is synthesised using:
Find out the key statistics of your favorite team, evaluate its skills and compare them with the other teams.
Our mathematical models automatically select the top seasonal performers for every team and every league in our database.
We use a 4-3-3 formation and select the players displaying the highest SPRs, using the following scheme: One goalkeeper, the best right back (or right wing-back), the two best centre-backs, the best left back (or left wing-back). In midfield, we take the top three midfielders (defensive mid and/or attacking mid and/or central mid) and the best three forwards (strikers and/or central forwards and/or wide forwards).
Take for example the Top 11 selection for the Premier League, as of 20 February 2020.
The top goalkeeper, according to our rating system, is Liverpool's Alisson.
Reds displays other three defensive players: Trent-Alexander Arnold (top SPR among right-backs), Virgil Van Dijk (top SPR among centre-backs) and Andrew Robertson (top SPR among left-backs). Leicester's Çaglar Söyüncü (second-highest SPR among centre-backs) completes the defence.
In midfield, we take the top three SPRs among the macro-group "Midfielders", which includes the defensive midfielders (DMC), central midfielders (CM) and central attacking midfielders (CAM). Manchester City's De Bruyne and Rodrigo display the two highest SPRs among Midfielders, followed by Chelsea's Jorginho.
In Attack, Manchester City and Liverpool again dominate the scene, with Sergio Agüero, Mohammed Salah and Sadio Mané displaying the top 3 SPRs of the macro-group "Forwards" (strikers, central forwards and wide forwards).
TALKING ABOUT SOCCERMENT
Our research, articles and studies have been shown on:
OUR MISSION IS TO ACCELERATE THE ADOPTION OF DATA ANALYTICS IN FOOTBALL
It's your turn to become a football analytics expert
Do you need additional details? Please have a look at our F.A.Q.