Team of The Season - Serie A

PlaymakerAI has let it’s machine learning algorithm for player grades select the team of the season. The XI was selected based on an action value model that values players every action with and around the ball.
The actions are estimated based on a trained model on how much their action increases the teams odds of scoring as well as decreases the odds of conceding a goal. This statistic probability model makes it possible to value both offensive and defensive actions.

The XI is then based on the players mean grade for every game they have played this season, the script that selected the XI also found the best possible formation with the given players.

The PL team of the season with a 4-3-3 formation. Graphics made by Anton Westerberg (@antonwes)

Let’s take a look at some player spiders…
First out Min-Jae Kim with best overall grade of 70 out of 100 this season, which means a game average of 70. The grade is adjusted based on league level. Kim matches the avatar of the defending leader, and his AI detected qualities can be found below.

Min-Jae Kim’s player card

Next let’s take a look at the top striker. Victor Osimhen has had a tremendous season leading Napoli to their title.

Another standout this season is Rafael Leão, who takes the LW spot in this XI just ahead of Khvicha Kvaratshkelia. One of the best playmakers in the world when it comes to carrying and dribbling with the ball.

Rafael Leão’s player card

To summarize the XI let’s also take a look at Antonio Candreva who has had a remarkable season for Salernitana and has the fourth highest grade overall in Serie A. He is one of the best crossers in the top 5 leagues and is arguably one of the best signings in Serie A ahead of the 2022/2023 season.

Offensive player card for Antonio Candreva

Do you wish to know more Playmaker’s Player Grade, how you can use it in your club, for your players as an agency or in media? Don’t hesitate to contact us at info@playmaker.ai