How to Use WhoScored for Smarter Player & Team Analysis: A Practical Checklist
You’ve seen the match ratings pop up on your feed—WhoScored’s 6.8 for a midfielder who looked invisible, or a 9.2 for a striker who scored a hat-trick. But what do those numbers actually mean? And more importantly, how do you use them without falling into the trap of “he got an 8.5, so he must be world-class”?
Here’s the honest truth: WhoScored ratings are a useful starting point, but they’re not the final verdict. They’re built on a weighted algorithm that rewards certain actions (goals, assists, key passes, tackles) and penalizes others (missed chances, defensive errors). The trick is knowing what to look for—and what to ignore.
Let’s walk through a practical checklist so you can compare players and teams like a data-aware analyst, not just a scoreboard watcher.
Step 1: Understand the Rating System (Before You Trust It)
WhoScored uses a 10-point scale, but it’s not the same as a newspaper’s subjective mark. Their algorithm assigns points based on over 200 raw events per match—passes, dribbles, shots, interceptions, fouls, you name it. A 6.0 is average; anything above 7.5 is strong; 8.5+ is elite territory.
But here’s the catch: the system heavily weights attacking contributions. A winger who takes five shots (even off-target) and completes two dribbles can easily outscore a defensive midfielder who made 10 interceptions and 90% pass accuracy. That doesn’t mean the winger played better—it means the algorithm valued his actions more.
What to do: Always cross-reference the rating with the detailed stat breakdown below it. If a centre-back has a 7.8 but made only two clearances and zero tackles, something’s off. Dig into the “Defensive” tab.
Step 2: Compare Players by Position, Not Just Overall Rating
This is the most common mistake. A striker with a 7.5 average rating might look better than a holding midfielder with a 7.0, but that’s like comparing apples to oranges. Different positions are judged on different metrics.
Here’s a quick cheat sheet for position-specific stats on WhoScored:
| Position | Key Stats to Check | Red Flags |
|---|---|---|
| Striker | Shots per game, conversion rate, aerial duels won | Low key passes, few touches in box |
| Winger | Dribbles per game, key passes, crosses completed | Low pass accuracy, few tackles |
| Central Midfielder | Pass accuracy, tackles, interceptions, key passes | Low possession-adjusted stats |
| Centre-back | Clearances, interceptions, aerial duels, pass accuracy | Few tackles, high foul rate |
| Full-back | Tackles, crosses, dribbles completed, interceptions | Low pass completion under pressure |
Pro tip: Use the “Per Game” tab to normalize for minutes played. A player with 10 appearances but only 45 minutes per game will have inflated per-90 numbers.
Step 3: Use the “Strengths & Weaknesses” Section (But Verify It)
Every player profile on WhoScored has a small box that lists their top attributes—like “Very Strong: Finishing” or “Weak: Passing.” This is generated from their statistical percentile rank compared to peers in the same league.
It’s helpful for a quick scan, but don’t treat it as gospel. I’ve seen a midfielder labeled “Weak: Tackling” who actually had decent defensive numbers—the algorithm just compared him to defensive specialists. Context matters.
What to do: Click into the “Stats” tab and look at the percentile bars yourself. If the “Weak” label says “Passing,” but you see 85% accuracy with 60 passes per game, the system might be penalizing his pass distance or risk-taking. Check the raw numbers.
Step 4: Compare Team Statistics to Spot Tactical Patterns
WhoScored’s team pages are gold for tactical analysis. You can see average possession, shots per game, pass accuracy, and defensive actions across a season. But the real insight comes from comparing two teams side-by-side before a match.
Here’s a practical example: Imagine you’re analyzing a game between a possession-heavy team (Team A: 62% average possession, 550 passes per game, 85% accuracy) and a counter-attacking team (Team B: 48% possession, 380 passes, 78% accuracy). The raw numbers suggest Team A dominates, but look deeper:
- Team A’s shots per game: 14, but only 4 on target (low conversion)
- Team B’s tackles per game: 22, with 12 interceptions (high pressing)
How to do it: On a team’s WhoScored page, go to “Statistics” and select “Season.” Look at “Attack,” “Defence,” and “Discipline” tabs. Compare with the opponent’s same tabs.
Step 5: Don’t Ignore the “Form” Graph—But Read It Carefully
The form graph shows a player’s rating over their last 5–10 matches. A steep upward trend might mean they’re hitting form—or it might mean they had a couple of easy fixtures. A downward trend could signal fatigue, injury, or a tough schedule.
What to do: Click on each match in the graph to see the opponent and the player’s detailed stats. A midfielder who scored 8.0 against a weak team but 6.2 against a strong press might be a “flat-track bully.” That’s useful for predicting future performance.
Step 6: Cross-Reference with Other Sources (Because WhoScored Isn’t Perfect)
No single rating system is flawless. WhoScored’s algorithm can miss contextual factors—like a defender who made a crucial last-ditch tackle that didn’t show up as a “clearance” because it was off the ball. Or a midfielder who controlled the tempo without flashy stats.
Where to look: Check FBref for percentile rankings, Opta data on the league’s official site, or Transfermarkt for market value context. For example, a player with a 7.2 WhoScored rating but a Transfermarkt value of €5M might be overperforming—or undervalued.
Internal resources on this site:
- For deeper player valuation, see our guide on /statistical-player-valuation-models.
- If you’re tracking scoring trends, /goals-per-game-trends-by-league has league-by-league breakdowns.
- For creative midfielders, /assists-and-key-passes-data shows how key passes translate to actual assists.
- Defensive stats like tackles and interceptions are covered in /tackles-and-interceptions-per-90.
Step 7: Build Your Own Comparison Table (Simple but Effective)
Once you’ve gathered data on two players or teams, put it in a table. Here’s a template for comparing two central midfielders:
| Metric | Player A | Player B |
|---|---|---|
| WhoScored Rating | 7.1 | 6.9 |
| Pass Accuracy | 88% | 82% |
| Key Passes/Game | 1.8 | 2.4 |
| Tackles/Game | 2.1 | 1.5 |
| Interceptions/Game | 1.3 | 0.9 |
| Dribbles Completed/Game | 0.6 | 1.7 |
Player A might have a higher overall rating, but Player B creates more chances and carries the ball forward. Which one you want depends on your tactical system—not the rating.
Step 8: Avoid These Common Pitfalls
- Don’t use ratings alone for betting decisions. A high-rated player doesn’t guarantee their team wins. Betting involves risk—never rely on a single stat.
- Don’t ignore sample size. A player with 3 appearances and a 7.8 rating is not better than one with 20 appearances and 7.0. Look for at least 10 matches.
- Don’t assume ratings translate across leagues. A 7.5 in the Belgian Pro League is not the same as a 7.5 in the Premier League. Competition level matters.
- Don’t forget the opponent. A striker who scores against a weak defence might have inflated numbers. Check the match-by-match breakdown.
Quick Recap Checklist
- Start with the rating, but immediately check the stat breakdown for context.
- Compare players only within the same position group.
- Use the “Strengths & Weaknesses” box as a hint, not a verdict.
- For team analysis, look beyond possession—check shots, tackles, and pressing stats.
- Read the form graph with fixture difficulty in mind.
- Cross-reference with other data sources (FBref, Transfermarkt, Opta).
- Build your own comparison tables to see the full picture.
- Always consider sample size, league quality, and opponent strength.
