

Player Radar Explained
Many clubs and agencies use our player data profiles as a first screening tool in the decision-making process. Our profiles enable a quick, qualitative and data-driven assessment of players. They provide a compact overview of performance, strengths, weaknesses and development potential at a glance. This makes them ideal for initial player screening, supporting better decisions and defining targeted development measures.
βBasics

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The radars are based on statistical player data from Wyscout. All values are per 90 minutes.
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Players are compared only with others in the same position and league
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The position reference is based on the player’s Wyscout main position, defined by the position in which they played the most minutes.
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The sample size in the footer shows the number of players included in the comparison group.
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Only players with at least 700 Min. played are included to provide a robust and reliable comparison.
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All rankings are shown as percentiles. A percentile of 100 means the player ranks first in that metric, while 50 represents the league average.
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Metrics are grouped into five key categories:
π£ Defensive Contribution – defensive actions, duels and ball-winning ability
π΄ Progression & Dribbling – ball carrying, dribbling and advancing play
π’ Goal Threat – scoring output, shooting and penalty-box presence
π Creative Output – chance creation, assists and expected assists
π΅ Passing Accuracy– passing accuracy, progression through passing and distribution -
Fouls and cards are negatively coded, meaning a higher percentile indicates that a player commits fewer fouls or receives fewer cards than their peers.
- All quantitative metrics are presented on a per-90-minute basis and are not adjusted for team or player ball possession.
π Metrics
π£ Defensive Contribution

Fouls and Cards are negatively coded. A lower number results in a higher percentile score.