The scoreboard lies
Three-nil. The game's over, the result is emphatic, the table updates. The reporter writes that the winners were the better side, the losing coach grumbles that "the scoreline flatters them," and everyone assumes he's making excuses.
But sometimes he's the one who's right.
The final score is a blunt instrument: it captures who scored more goals, not who played better. In a league where the average number of flukey shots — the ones that go in despite under a 15% chance — runs to roughly two per weekend across ten games, the number of results "warped" by luck isn't a rounding error. It's baked into the structure. It's not an anomaly; it's a feature of the game.
The Meritometer exists to make that distortion visible. Not to replace the result — football is a sport and results matter — but to set an alternative measure alongside it: who deserved to win, regardless of how lucky they got.
The paradox of results in modern football
Football is a low-scoring sport. That's exactly what makes it so dramatic — and it's also what makes it statistically very noisy. In basketball, a typical game produces 90 to 110 points a side, and just about every extra quality possession turns into points. In football, you get one to three goals a game, and the gap between the result and the quality of the play behind it is enormously wider.
A study across five Premier League seasons found that 34% of the defeats suffered by high-quality teams (the top six) could be filed under "undeserved" by advanced metrics. In other words: they'd created more danger, controlled more of the game, posted a higher xG — and lost anyway.
That's not a scandal. It's the math of football. But ignoring it means looking at the game through a cracked lens.
Inside the IMR: what we're actually measuring
The Individual Match Rating (IMR) is the computational engine behind the Meritometer. It's a single score that captures the quality of a player's attacking and build-up contribution in a given match, drawing exclusively on the metrics in our database — which come from Understat, a source covering the top five European leagues with advanced data.
We don't measure tackles, interceptions, saves, or distance covered: not because that data doesn't exist, but because it falls outside what our primary source provides. What we do measure, we measure well.
xG — Expected Goals
xG is where everything starts. For every shot, the model estimates the chance it ends up in the net, factoring in where it was taken from, the angle, the type of assist that set it up, and the game situation. A shot from central position a few yards out carries a high xG; one from outside the box at an awkward angle carries a low one.
What makes xG so valuable for the Meritometer is that it cuts the rating loose from the result. A striker who piles up 1.8 xG in a match is doing excellent work, whether or not he actually scored. Flip it around: a striker who buries a shot from the halfway line worth 0.04 xG just got lucky — and the IMR knows it.
xA — Expected Assists
xA measures the quality of the pass that sets up a shot, not whether the shot goes in. An assist off a perfect cross that the striker skies over the bar counts as a missed assist in traditional stats; in xA it's still a high-quality contribution, because it created a dangerous chance.
That matters enormously for giving creative midfielders their due — players who often don't show up in the traditional assist charts even though they've manufactured dozens of high-quality chances over a season.
xGChain — Credit for the whole move
xGChain is the most underrated metric and, in some ways, the most revolutionary. It measures how involved a player was in any move that ends in a shot: not just the final pass that earns the assist, but every touch earlier in the chain.
Take a number ten who collects the ball, lays it off quickly, makes a run, gets it back, then slips it through for the shot. Traditional assist models might credit him with nothing. xGChain captures his fingerprints all over the sequence. It's the metric that answers the question: "how much less dangerous would this team be if we took this player out of its moves?"
xGBuildup — The work farther from goal
xGBuildup is a close cousin of xGChain, but it zeroes in on the build-up phases farther from the opponent's goal. It measures a player's role in the early stages of a dangerous move: the defender who starts it from the back, the holding midfielder who springs it forward, the playmaker who drops deep to receive and turn.
This one is crucial for valuing players who do their work in the parts of the pitch traditional attacking stats never reach. A genuine deep-lying playmaker who never shows up among the scorers or the assist providers but posts a high xGBuildup is the guy who makes the machine run — and the Meritometer sees him.
PPDA and Deep Completions — Dominance at team level
At the individual level, the IMR is built on the metrics above. But the context a player operates in matters too, which is why we lean on two team-level metrics to put individual contributions in perspective.
PPDA (Passes per Defensive Action) measures how many passes a team lets its opponents string together before stepping in to win the ball. A low PPDA means a side that presses high and turns the ball over quickly — friendly territory for anyone playing up front. Deep Completions count the passes completed deep in the opponent's half: a read on how well a team gets into the dangerous zones and creates from there.
Together, these two tell us how much a player is expressing his quality inside a system that either amplifies it or smothers it — and let us adjust the weight of his individual numbers accordingly.
How the Meritometer takes "luck" apart
"Luck" in football isn't random in the strict sense. It's a statistical residue: the gap between what the game produced in quality terms and what the scoreline actually recorded. The Meritometer sets out to isolate that residue.
Here's a concrete example. On a Serie A matchday, a mid-table side beats the league leaders 1-0 with a shot from outside the box five minutes from time (goal probability: 6%). The leaders had generated 2.4 xG to 0.3. The scoreboard says win; the IMR says the collective merit sat firmly on the other side.
Over the long haul — thirty, forty games — these residues cancel out. But in the short term, a run of unlucky results can trash the public reputation of a player or a team for no good reason at all. The Meritometer keeps a record of that alternative reality.
This isn't about rewriting history. It's about understanding what's going on underneath it.
IMR table vs. the real table: the telling cases
One of the most revealing things the Meritometer turns up is the season-long table built on cumulative average IMR, set against the actual points table.
Do it consistently and two kinds of outlier teams jump out.
"Overperforming" teams collect more points than their IMR says they should. Usually they've got an exceptional goalkeeper (turning opponents' xG into nothing), a striker finishing well above average, or both. Once that luck runs dry, they tend to regress the following season.
"Underperforming" teams collect fewer points than they deserve. These are the interesting ones: often sides playing genuinely good football while suffering a particularly cruel run of luck. Historically, teams like this tend to climb the next season without spending a cent in the market — simply because luck evens out.
This isn't just academic; it has serious practical value. A sporting director who signs a striker off an "overperforming" team may be paying for results that won't come around again. One who sells a defender off an "underperforming" team may be cashing in a key man at the worst possible moment.
Who really deserves it?
The most uncomfortable question the Meritometer raises is this: does the guy who wins Player of the Season actually deserve it, or did he just get luckier than everyone else?
The answer, most of the time, is that the award is largely deserved — the top players post high IMRs because they generate real quality, not because they're lucky. But there are some glaring exceptions. In our database of the last ten seasons of Europe's major leagues, we've flagged twenty-three cases where the league's top scorer posted an IMR sitting squarely in the middle of the pack — a player who scored a ton of goals but contributed relatively little to the overall game.
Twenty-three Golden Boot winners who were, statistically, perfectly ordinary in all-around quality. That takes nothing away from their finishing, which is real. But it tells you that putting the ball in the net is one part of football, not the whole of it.
The Meritometer as a tool for fairness
At its core, the Meritometer is a tool for fairness. It tries to give every player his due, stripping out the bad luck, the refereeing calls, the goalkeeper having the game of his life, the woodwork, the offside millimeters.
It's not infallible. No metrics system is. There are sides of football the numbers don't capture well: the defensive leadership that holds a team together in a crisis, the charisma that drags teammates through a rough patch, the knack for flipping the psychological momentum of a match. These things are real and they matter. The Meritometer doesn't see them — or sees them only secondhand, through the effects they leave on everyone else's numbers.
But what the Meritometer does see, it sees clearly. And it sees it systematically — no prejudice, no favorite nationalities, no big names bending the verdict. It's ruthless in the way only numbers can be ruthless: no grudges, no agenda, with the single ambition of telling reality as it actually was, not as we'd have liked it to be.
The scoreboard says three-nil. The Meritometer tells you who deserved it.