with stats, smart performance indexes
and data visualisation
Data science applied to football
Explore and evaluate the performances of football players and teams, through innovative indicators and user-friendly data visualisation tools. Analyse all their relevant statistics and anticipate their potential development.
The platform, fully optimised for mobile devices, takes you through a football journey, from the most simple to the most advanced analytics tools.
1. Start with the most common stats, such as the number of goals and assists.
2. Progress and find the usefulness of per-90-minutes data, allowing the full comparability of the players.
3. End the journey with one of our machine learning algorithms, for example the one which automatically finds the most similar players to any footballer, based on their performances: a very useful scouting tool for discovering unknown talents.
8,000 players and counting
Our database keeps growing and it is currently composed of more than 8,000 players, across 14 different leagues, in 9 countries.
We display the stats of all the players and the teams of the first and second divisions of England, Spain, Italy, Germany and France. Additionally, we have the Eredivisie (Netherlands), Primeira Liga (Portugal), Süper Lig (Turkey) and Jupiler Pro League (Belgium).
Soccerment Performance Rating
The Soccerment Performance Rating system ('SPR') was designed to transform complex statistics into accessible and actionable insights, to facilitate talent discovery.
We take into consideration all the available information about the technical events: all the shots, passes, launches, yellow cards, headers, dribbles - you name it - transformed into per-90-minutes stats and weighted for their importance to the team's results, with the different weights depending on the player's tactical roles.
SPRs are assigned to the footballers having played at least 270 minutes, in order to have some statistical relevance.
There are a number of adjustments we apply, to make the ratings as fair as possible. Two of these adjustments are worth mentioning: a) first of all, we adjust for the number of minutes per appearance, favouring the contributions of those players with a higher playing time per appearance; b) secondly, we adjust for the league: under the assumption that 10 goals in the English Premier League are 'worth more' than 10 goals in the Championship, we analysed how the stats change when the players move from one league to another and developed ad-hoc ratios to normalise the results.
Compare any Player with our Spider Charts
Spider Charts - in our view - are the best way to visualise performances and compare players.
We use seven indexes, derived by a series of proprietary algorithms, developed by our Research Team. Like for the Soccerment Performance Rating, we adjust our indexes by taking in consideration the league, playing time and others.
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.