We Hid the Managers. The Algorithm Found 162 of Them Anyway.

We handed an algorithm 49 clubs' rating histories and told it nothing about managers, takeovers or transfers. It found 162 regime changes on its own — the named appointments slot in afterward, and the rating moves a season after the manager walks in. Explore every club's fingerprint in ManagerScope,

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We Hid the Managers. The Algorithm Found 162 of Them Anyway.

We gave a machine 189 clubs, nine seasons and every squad's market value, and asked one question: who got more out of their players than the wage bill said they should? The names were attached afterwards. The machine has never heard of reputation.


Football arguments about managers almost always collapse into the same trap: we credit the men who win, and winning is mostly bought. Pep Guardiola, Carlo Ancelotti and Luis Enrique are wonderful coaches — and they have spent most of the last decade with three of the richest squads on earth. Of course they win.

So we built a way to take the money out of it.

For every club in each of the top-five European leagues — plus Portugal, the Netherlands, Scotland, Turkey, Belgium, the Americas and the English Championship — we measured how strong the team actually was, season by season, using its rolling strength rating (Elo). Then we measured what that strength should have been, given the market value of the squad. The gap between the two is the manager's signal: strength above what the money buys. We blend it toward recent seasons, add competitiveness-weighted credit for trophies and cup runs, reward finishing higher in the table than the budget predicts, and dock managers who merely inherited a high baseline a predecessor built.

The detection is blind to who was in the dugout. Names are attached only at the end, from the public record. 189 clubs, 309 ranked managers, nine seasons (2017/18–2025/26). Nothing here is the final word — it's a measured draft, and the model can only see what it can measure.

1. The 50 best managers alive

Here is what the machine produced. The top is not a surprise — Pep, Luis Enrique, Inzaghi, Klopp, Arteta. The interest is in the absences: no Steven Gerrard (#226), no Steve Bruce (#224), and Erik ten Hag down at #70. The model isn't being provocative; it just doesn't care that you've heard of them.

FMI Manager Index

The 50 best managers in world football

Ranked by one question: how much more did their teams achieve than the players were worth? Every club’s strength is measured against the market value of its squad — then the names are attached afterwards. The list has never heard of reputation.

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The rating is an overperformance score: how far a manager pushed their clubs above what the wage bill predicts, judged within each league and weighted toward recent seasons, plus credit for trophies. A higher number means more done with less. Tap any name to see why they rank where they do.
The man at the top just left. Pep Guardiola stepped down at Manchester City at the end of 2025/26 after a decade — six league titles and a treble. A machine that scores a decade of work still puts him first; the touchline is now empty.

Names you might expect higher

The model isn’t trying to provoke — these are just what the numbers say once you measure results against the budget and weight recent form. Here’s the one-line reason for each.

How it’s built. Each club’s day-by-day strength rating (Elo) is compared to what its squad’s market value predicts within its own league and season; the gap is the manager’s overperformance. That’s blended toward recent seasons, adjusted so credit for a high baseline a predecessor built is discounted, and added to competitiveness-weighted trophy points. Coverage: . The detection is blind to manager identity — names are attached from the public record afterwards. A measured draft, not the final word.

A note on the names you might expect higher: the model has no memory of reputation, only of results measured against the budget. Tap any name in the table for the one-line reason.

2. The Money Line: what does strength actually cost?

This is the whole idea in one picture. Every dot is a club in a season — its squad value across the bottom, its strength up the side. The gold line is the going rate: what that money normally buys. Above the line, a team beat its budget; below it, the money underdelivered. Drag into a single league to see that league's own going rate (La Liga money buys more than Ligue 1 money), or search any manager to light up their seasons.

FMI Manager Index · The Money Line

What does football strength actually cost?

Every dot is one club in one season — how much its squad was worth (left to right) against how strong the team actually was (bottom to top). The gold line is the going rate: what that money normally buys. Above the line, a team beat its budget. Below it, the money underdelivered. In the all-league view, strength is leveled across leagues and eras so a €100m squad in Serie A and one in Brazil are judged the same way — pick a single league to see its own going rate (La Liga money buys more strength than Ligue 1 money).

beat their budget under their budget the going rate (fair value)

How to read it. The horizontal axis is squad market value on a log scale (each step is a multiple, not an addition — that's how money works in football). The vertical axis is a strength rating (Elo) with each league and season leveled to a common baseline, so clubs are comparable across competitions and years. The gold line is the fitted relationship — on average, ten times the budget buys a fixed jump in strength. A club's vertical distance from the line is its manager's overperformance.

The biggest overachievement in the data is Klopp's near-invincible Liverpool of 2019/20. The best budget bargain is Éric Roy's Brest reaching the Champions League on a €111m squad.

3. The managers who punch above their weight

The single clearest sign of a coach is finishing higher than the wage bill says you should. Each bar runs from where a club ranked by squad value to where it actually finished — the longer the green bar, the further a cheap squad was dragged up the table. Sean Dyche kept the 19th-richest Burnley squad mid-table for five years; Pascal Gastien did the same for tiny Clermont; Unai Emery turned the 9th-richest Villa squad into a top-five side.

FMI Manager Index · Punch Above Weight

Getting the most from the least

The clearest sign of a manager: finishing higher than the wage bill says you should. Each bar runs from where a club ranked by squad value (grey) to where it actually finished in the table (green). The longer the green bar, the further they dragged a cheap squad up the league. Top-flight seasons only, averaged across each manager's run.

where the budget ranked where they finished
How it's measured. For each manager we take the club where they have the most top-flight seasons, and average two things across those seasons: the club's rank by squad market value, and its actual league finish. The gap between them is the overperformance the strength rating alone can miss — a results-grinder who squeezes a mid-table finish from a relegation-budget squad. Leagues of 18–20 clubs; the figure in brackets is the manager's overall rank in the full index. A measured draft — names attached from the public record afterwards.

4. Does how you play predict success?

We can also see how the overachievers do it. Each dot is a manager: how much of the ball their teams keep, against how much they beat their budget. More possession leans toward more overperformance — but the cleanest predictor isn't the ball, it's balance. The deep low-block sides, on average, only break even.

FMI Manager Index · Style of Play

Does how you play predict success?

Each dot is a manager: how much of the ball their teams keep (left to right) against how much they overperform their budget (bottom to top). The dotted line is the trend. More possession leans toward more overperformance, but the effect is modest — and it's the deep-block sides that lag, on average barely breaking even. Style is from on-the-ball possession share; overperformance is the squad-value residual.

How to read it. Possession share comes from on-the-ball data (top-5 leagues, where it's available). Style buckets: low-block (sit deep, <~46% of the ball), press-balanced (mid-share, aggressive without dominating possession), positional (control the ball, >~52%). Overperformance is the manager's average squad-value residual — strength above what the wage bill predicts. The correlation between possession and overperformance is — real but modest: you can beat your budget at any share of the ball, but the deep-block sides are the ones that, on average, only break even. A measured draft.

5. The next generation

Reputation is a lagging indicator. Here are the emerging names — young, or new to the top level — and how the model already rates them. Some are beating their budgets already; a few, like 30-year-old Carlos Cuesta at Parma, have too little top-flight time to score yet but are the names everyone is circling.

FMI Manager Index · The Next Generation

The ones to watch

The emerging managers — young, or new to the top level — and how the model already rates them. Some are already beating their budgets; a few have too little top-flight time to score yet, but are the names everyone is circling. Ranked by age, youngest first.

Already delivering

Too early to rate — but watch this space

Why some have no score. The index only rates managers with at least ~1.5 seasons-equivalent of tracked top-flight work, so a manager in his first full season (Cuesta at Parma, the youngest in our top-5 set) appears here without a number — the sample is too small to be fair. Ages are at 2026. The score is the squad-value-residual model + trophies + recent form; "beating the budget" means more strength than the wage bill predicts. A measured draft.

6. The flip side: clubs that waste their money

Run the exact same test on the clubs instead of the managers — across every manager they have had — and a different signal appears: institutions that come in below what their squad is worth no matter who is in the dugout. Valencia have finished under par in every season, through seven different managers. Southampton (eight managers), Hertha Berlin and Everton tell the same story. That is not a coaching problem; it is the building. At the other end, a few clubs beat their value manager after manager — Atalanta most of all, a mid-table budget performing like a Champions League one across the whole decade.

FMI Manager Index · The Structural Cut

It’s not the manager. It’s the club.

Run the same value-vs-strength test on the clubs instead of the managers, across every manager they’ve had. When a side sits below what its squad is worth season after season — through four, six, eight different head coaches — the problem isn’t in the dugout. It’s the institution. Top-flight seasons only; clubs with at least five.

Reading each row: the number is how far the club’s strength sat above (+) or below (−) its squad value; underneath, how many different managers oversaw it and the share of seasons that held the pattern — so “7 mgrs · 100%↓” means seven managers, every season below par.

How it’s measured. For every club we average its strength-vs-squad-value gap (the same residual that powers the manager index) across all its top-flight seasons in our window, then count how many different managers oversaw it. A big negative number that holds across many managers is a structural signal — ownership, recruitment, wage-bill mismanagement — that no single coach created or could fix. ⚠ flagged clubs are the exception: their Transfermarkt price tag runs ahead of their real level (a just-promoted side, or a young high-resale squad), so the gap is a valuation quirk, not dysfunction. A measured draft, from the public record.

Two names carry a caveat, flagged in the chart: a just-promoted Parma and a young-squad Real Sociedad are priced above their level rather than genuinely run badly — an inflated tag, not a broken club.

7. The full ranking

And finally, the whole thing — all 309 ranked managers, searchable by name or club.

FMI Manager Index · The Full List

The whole ranking

Every one of the ranked managers — from the squad-value-residual model, blended with trophies and weighted toward recent form. Search a name or a club. The model is blind to reputation; names were attached from the public record afterwards.


Method: per-league and per-season fixed-effects regression of strength (Elo) on log squad value, fit across 1,600+ club-seasons (slope independently reproduced in Python; R² 0.85). Residuals are blended toward recent form, discounted for inherited baselines and second-tier seasons, and combined with competitiveness-weighted trophies, longevity, transfer-stretch and a "beat-the-table" term. The fingerprint is blind to manager identity; names are attached from the public record afterwards. Squad values from Transfermarkt; strength ratings from ClubElo (Americas Elo custom-built from match results). A measured draft for review — not a verdict. — Fastmaster Intelligence, Data Desk.