Comparability
Finding similar players around the world.
- with the percentage of comparability
- filter on age to find the youngest
We translate and analyse the statistics for you and simplify them into a performance index.
Get a free trialFrom 70,000 players to a list of 10 in less than 1 minute.
Thanks to our performance index, which immediately shows the best players, we guarantee to find the desired players in no time.
Finding similar players around the world.
World rankings by role.
We are able to monitor the performance of each player match by match.
We combine our index to each single variable or group of variables.
We provide the market value of every single player through the methodology of comparable transactions
analysed
Minutes played
Football players
Make decisions based on real data
Hear from some club managers who swear by wallabies.
We have created an "observer" that scouts every player and every match in 40 leagues, that can remember every gesture of about 60,000 players, that has an objective metric, has had "experience" watching more than 6,000 matches and that learns something more every day, with the only peculiarity that it is "robotic".
The strength of these algorithms lies in their ability to self-perfect and are known in the world of Artificial Intelligence as Machine Learning Algorithms. In other words, given a very large dataset, we extract, manage and process football information about each individual player in order to find comparable players, their market value, their ranking and, where possible, predict (through predictive analytics) their future sports performance
It is an objective metric made to enclose in a single index, from 0 to 100, the analysis of a player's performance in relation to his position in the field. It is based on an algorithm, which is "trained" on the statistics in our database to evaluate the player's performance. In total we analyze about 7,000 variables that describe the behaviour of a player for each game.
Thanks to our robotic observer, able to judge the performance of a player like a scout, we are able to monitor all the players in our database and we can highlight the best players divided by role, by age, by tournament, by module or by position on the field.
Every league is different and playing in the Premier is more difficult than playing in Belgium. Neural networks and our algorithms make the performance of all players comparable regardless of where they play.
It doesn't mean giving the value of sale or purchase that depends a lot on negotiations, but the value of performance that the market is willing to pay. That is, how much the market values those specific performances of a player.
We use about 7000 variables per player per game, but not all of them are relevant. The higher the number of variables we are able to analyze, the more accurate the comparison.
AI is not a limitation but a resource. It does not replace but amplifies. Wallabies' use of artificial intelligence serves to shift scouts' time from research to analysis. A machine's memory is infinite and it remembers every single gesture of every single athlete.