In modern football, the best players aren’t just those who score goals — they’re the ones who consistently influence games in meaningful, measurable ways.
Player performance is no longer a guessing game. Using advanced metrics like expected goals (xG), expected assists (xA), pressures per 90, progressive carries, and heatmaps, we can now break down exactly how and why a player is (or isn’t) performing.
In this section, we go beyond the box score. Whether you’re analysing attacking output, defensive contribution, or tactical intelligence, this is your home for data-driven player performance insights across Europe’s top leagues.
We look at players not just as individuals — but as tactical tools, systems operators, and decision-makers under pressure.
Each article dissects a player’s output in context — not just what they do, but why it matters tactically.
/football-analysis/player-performance/premier-league//football-analysis/player-performance/la-liga//football-analysis/player-performance/ligue-1//football-analysis/player-performance/bundesliga//football-analysis/player-performance/serie-a/Each league has its own tempo, space, and style — and that affects how performance should be evaluated.
These deep dives are great for analysts, FM players, or anyone trying to judge player form more intelligently.
It refers to how a player contributes to their team’s success through measurable actions like passes, shots, pressures, and decision-making.
It depends on the position, but common metrics include xG, xA, progressive passes, interceptions, and duels won.
Not always. A player can post strong underlying stats without scoring or assisting, meaning they’re performing well despite a “dry spell.”
By comparing expected contributions of a role (e.g. a DM in a 4-3-3) with the player’s actions per 90 and how they affect the system.