After every match, players get a number: 7.5 for a solid display, 8.5 for a man-of-the-match performance, 5.5 for a nightmare. But where do these numbers come from, and should you trust them? The truth is that there are two very different kinds of ratings — the algorithmic scores produced from event data, and the subjective grades written by journalists — and they measure different things. Understanding the difference will change how you read them.

The Algorithmic Ratings: Data In, Number Out

Data-driven ratings start from every event in a match: passes, tackles, shots, dribbles, interceptions, duels won and lost. Each event is weighted — a key pass counts more than a sideways pass, a goal more than a shot off target — and the total is normalised into a score, usually out of 10. The best-known systems use hundreds of data points per player per game. Their strength is consistency: the same performance gets the same score regardless of who is watching. Their weakness is context: they cannot see a run that dragged two defenders away, or a tactical foul that saved a goal.

The Journalist Ratings: Context and Narrative

Newspaper and broadcast ratings are written by people who watched the game, and they capture what the data misses: leadership, positioning, the pass before the assist, the defensive cover that never shows up in the stats. But they are also vulnerable to narrative bias — the goalscorer gets an extra half-point, the defender at fault for a goal loses one, and the big name gets the benefit of the doubt. That is why the same player can get a 6 from one outlet and an 8 from another after the same match.

How to Read Ratings Like an Analyst

Use ratings as a starting point, not a verdict. Compare a player's rating to their season average rather than to a fixed scale — a 7.0 for a centre-back who usually scores 6.5 is a great game. Look at ratings across a run of games, not one match, and cross-check data ratings against the eye test: if the algorithm loves a player you thought was quiet, rewatch their off-ball work. The most useful ratings are the ones that surprise you.

The Ratings That Matter Most to Clubs

While fans argue about newspaper grades, clubs use ratings very differently. Recruitment departments track data-driven ratings across full seasons to identify undervalued players — a midfielder averaging 7.3 in a struggling team is often a better signing than a 7.8 in a dominant one. Coaches use ratings to manage load: a player whose numbers dip for three games running is usually carrying a knock or fatigue, and the data flags it before the player admits it. Agents use ratings in contract negotiations, and broadcasters use them to frame narratives. The most sophisticated clubs have moved beyond a single number entirely: they use role-specific ratings that judge a centre-back on defending and a winger on chance creation, because a single score can never capture two different jobs. The future of ratings is not one number — it is many.

Key Takeaway

The bottom line is that player ratings are a starting point, not a verdict. The data ratings give you consistency, the journalist ratings give you context, and neither gives you the whole truth on its own. Use them together, compare them against a player's season average rather than a fixed scale, and look at runs of games rather than single matches. The most useful rating is the one that surprises you — because it usually means you missed something, and going back to look is how you learn to watch football properly.

Frequently Asked Questions

Q: What is a good player rating? A: On a 10-point scale, 7.0 is a good game, 8.0-plus is excellent, and anything under 6.0 is poor. Q: Are player ratings objective? A: Data-driven ratings are consistent but miss context; journalist ratings capture context but carry bias. Neither is fully objective. Q: Who has the highest average rating this season? A: The season averages are led by the star attackers and the most complete midfielders in Europe.