Traditional football statistics tell you what happened. Our ratings tell you what it means.
We've built a system that transforms millions of data points from real matches into intuitive 1-20 ratings that genuinely reflect a player's ability. Not their reputation. Not their transfer fee. Their actual, demonstrated capability on the pitch.
The problem we solved: A midfielder in a possession-dominant team will have completely different raw statistics than one playing direct, counter-attacking football. Raw numbers without context are misleading. Our system understands the context and adjusts accordingly—so you can compare players fairly, regardless of their team's style or league.
The Intelligence Behind the Numbers
Every rating you see is the result of a sophisticated analytical process that considers not just what a player did, but the circumstances in which they did it.
Match-Level Context
We don't aggregate season-long statistics and call it a day. Our system processes data at the individual match level, understanding that a player's performance against the league leaders carries different weight than one against a relegation candidate. Each match contributes to a player's rating based on the quality of opposition, the competitive context, and the tactical circumstances of that specific game.
Competition Quality Weighting
A dominant performance in a lower division is not equivalent to the same numbers in the Premier League. Our system applies sophisticated competition coefficients that reflect the true difficulty of each league and adjust ratings accordingly. A player performing consistently in Europe's top five leagues is held to a higher standard than one accumulating statistics in weaker competitions.
This means when you compare two players, you're comparing genuine ability—not inflated numbers from easier environments.
Team Style Adjustment
Football is a team sport, and individual statistics are heavily influenced by how a team plays. A defensive midfielder in a team that dominates possession will naturally have fewer opportunities to make tackles and interceptions than one whose team defends deep. Our system accounts for team possession, playing style, and tactical setup to ensure players aren't penalised or rewarded for their manager's approach.
Per-Opportunity Analysis
Rather than simply measuring volume, we assess efficiency. What does a player do with each involvement? This approach reveals the quality of decision-making and execution that raw counting statistics obscure. It's the difference between measuring how many passes a player makes and understanding how effectively they use the ball when it's at their feet.
Contextual Intelligence
Every statistic is weighted by match importance, opposition quality, and game state.
Position-Aware Scales
Expectations are calibrated for each position—what's excellent for a striker differs from a centre-back.
Recency Weighting
Recent performances carry more weight than historical data, reflecting current ability.
Multi-Factor Composites
Each attribute combines multiple underlying metrics, capturing the full picture.
Attacking Attributes
These ratings measure a player's ability to create and convert goalscoring opportunities. Our attacking metrics go beyond simple goal tallies to assess the quality of chances, the efficiency of conversion, and the intelligence of movement.
Creative & Technical Attributes
These ratings assess a player's quality on the ball—their technical ability, vision, and capacity to create opportunities. They distinguish playmakers and technically gifted players from more functional operators.
Defensive Attributes
These ratings measure a player's ability to prevent the opposition from scoring. Our defensive metrics account for team style and possession context—a defender in a dominant team has fewer opportunities to make tackles, and our system understands this.
Physical & Mental Attributes
These ratings capture the physical and mental aspects of a player's game—their work rate, competitiveness, influence on matches, and consistency.
Goalkeeper Attributes
Goalkeeper ratings assess the unique skills required between the posts—shot-stopping ability, command of the area, and modern distribution requirements.
Statistical Confidence
Not all ratings are created equal. A player with 500 minutes of data cannot be assessed with the same certainty as one with 5,000 minutes. Our system explicitly accounts for this through statistical confidence modelling.
How Confidence Works
Every player has a confidence score based on their total weighted playing time. This score directly influences how we treat their ratings:
- Low confidence (limited minutes): Ratings are pulled toward positional averages. We simply don't have enough evidence to be certain of extreme values.
- Medium confidence: Ratings begin to reflect actual performance, but with some regression toward the mean for protection against small sample flukes.
- High confidence (substantial minutes): Ratings closely reflect true observed performance. The player has demonstrated their ability across enough matches to be confident in the assessment.
Why this matters for scouting: A young player who has scored 5 goals in 400 minutes has impressive numbers, but we can't be certain that rate is sustainable. As they accumulate more playing time, their rating will converge toward their true ability level—higher if they maintain the rate, lower if it was a hot streak. Our confidence model prevents both over-reaction to small samples and under-reaction to sustained excellence.
The 1-20 Scale
We use a familiar 1-20 scale where each level has genuine meaning:
| Rating | Meaning | What It Represents |
|---|---|---|
| World Class | Among the very best in the world at this skill | |
| Excellent | Elite level performer in top leagues | |
| Good | Above average, reliable at a high level | |
| Average | Competent professional level | |
| Below Average | A relative weakness in their game | |
| Poor | Significant deficiency in this area |
Using Ratings Effectively
These ratings are analytical tools designed to support informed decision-making. Here's how to get the most from them:
- Look at the profile, not just the peak: A player's combination of attributes matters more than any single rating. A striker with 16 finishing but 8 goal threat presents a different proposition than one with 13/13.
- Consider confidence: Players with limited minutes have less reliable ratings. Weight your assessment accordingly—the data is telling you something, but perhaps not the whole story yet.
- Understand position context: Compare players within positional groups. A centre-back with 8 creativity isn't deficient—that's not what they're asked to do.
- Use league context for projections: A player rated 15 in a lower division won't necessarily maintain that level against stronger opposition. Our league coefficients help, but projection requires judgment.
Our ratings provide an objective, data-driven foundation for player assessment. Combined with video analysis and contextual football knowledge, they help identify players who might otherwise be overlooked and provide fair benchmarks for comparison across leagues, teams, and playing styles.
This is genuine insight from real data—not opinion, not reputation, not hype. Just what players actually do on the pitch, measured properly.