FairValue

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  • EnvironmentOverviewWhat FairValue measures, what it found, where to go next.
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Portrait of Dani Olmo

Dani

Olmo

AMSpain · FC Barcelona

№ 293385World Class €41.3M +0.37

Image: FootyLogos

Player dossierLaLiga

DaniOlmo

AMAttacking MidfieldMidfield

Club
FC Barcelona
League
LaLiga
Nationality
Spain
Age
28
Height
179 cm
Foot
Right
Valued
5 Jun 2026

Reading the valuation

The market values Olmo at €60M. Model A, which never saw Olmo during training, estimates €41.3M: the market value is 45% above that estimate.

That is a factor of ×1.45. Model A's typical held-out miss is ×1.50 either way, so this gap is within its usual error.

Without league and club, Model B estimates €26.6M, further from the market. Model B is usually further off (typical miss ×2.07): league and club explain much of how the market prices players.

A gap describes the model's arithmetic for this player's inputs, not what the player is worth.

▲ +0.37A €41.3M▲ +0.81B €26.6M
Pitch length is a log value scale fitted to this player's figures. ● observed · ◇ Model A · dashed ◇ Model B · each arc is a residual, log(observed) − log(estimate).
Apps
88
Minutes
4,772
Goals
20
Assists
17
Started
53/88
Min / app
54
Cards
5Y 0R

Club matches, two years to the valuation date

The Valuation Journey

What moves Model A

Asking the prediction API to explain Model A for Olmo…

SHAP describes the model's arithmetic for this player's inputs, not what causes market value. Model B can be explained only by the live service; Model A also has a published explanation for the research players.

Model A vs Model B against the observed €60M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €60MModel A €41.3M

Asking the prediction API…

Held-out estimates come from cross-validation, with this player outside the training data: the honest comparison. Served models were refitted on every player, this one included, so they sit closer to the market. Shaded band: Model A's typical miss (×1.50 either way).

Player traitspercentiles vs 1,687 midfielders

Dani Olmo's percentiles among midfielders: Goals per 90 97th, Assists per 90 97th, Minutes, two years 84th, Starts 35th, Minutes, last 365 days 88th, European club minutes 82nd97thGoals97thAssists84thMinutes35thStarts88thRecent82ndEurope

Dashed ring: the midfielder median (50th percentile)

Goals per 90

Club goals per 90 minutes played in the two years to the valuation date.

0.38 this player0.08 midfielder median97th percentile

0.00peer deciles · median line · this player ●0.93

No passing, progression or defensive actions exist in the dataset, so no trait claims to measure them.

Valuation history every Transfermarkt valuation on record

First valuation
€300k
Mar 2015
Peak
€60M
Jul 2024
Model target
€60M
Jun 2026
Valuations
29
2 club changes
Jun 2026€60MFC BarcelonaValuation the model is trained to reproduce

Jun 2026: €60M, FC Barcelona. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2015-03-17€300kGNK Dinamo Zagreb
2015-09-14€350kGNK Dinamo Zagreb
2016-03-14€600kGNK Dinamo Zagreb
2016-09-14€700kGNK Dinamo Zagreb
2017-03-13€950kGNK Dinamo Zagreb
2017-10-23€1.5MGNK Dinamo Zagreb
2018-03-18€3.5MGNK Dinamo Zagreb
2018-09-25€6.5MGNK Dinamo Zagreb
2019-03-11€15MGNK Dinamo Zagreb
2019-09-16€30MGNK Dinamo Zagreb
2019-12-27€35MGNK Dinamo Zagreb
2020-04-08€31.5MRB Leipzig
2020-11-26€33MRB Leipzig
2021-02-10€38MRB Leipzig
2021-05-31€45MRB Leipzig
2021-07-15€50MRB Leipzig
2021-12-22€50MRB Leipzig
2022-03-24€45MRB Leipzig
2022-06-09€40MRB Leipzig
2022-11-09€40MRB Leipzig
2023-06-22€40MRB Leipzig
2023-10-18€50MRB Leipzig
2023-12-14€50MRB Leipzig
2024-05-29€50MRB Leipzig
2024-07-18€60MRB Leipzig
2024-12-27€60MFC Barcelona
2025-06-09€60MFC Barcelona
2025-12-12€60MFC Barcelona
2026-06-05€60MFC Barcelona

Audit context group-level, not about this player

Audit group
UEFA
Population gap, Model A
+0.093 95% CI +0.063 to +0.124
This player, market vs held-out A
+0.374

The group comes from first-listed citizenship and is never a model input. Across the population, non-UEFA players' market values sit about 10% above Model A's held-out estimates, relative to UEFA players in the same leagues. One player's residual says nothing about that pattern (typical miss ×1.50), and none of it is evidence of discrimination: the target may itself be biased. Open the Fairness Audit

In context observed value among comparable players in this build

All players in the Terminal →

LaLiga509 players · median €4M

Valued above 97% of the 509 LaLiga players.

€100k€1M€10M€100M€60MSee them in the Explorer →

Midfielders, all leagues1,687 players · median €2M

Valued above 98% of the 1,687 midfielders.

€20k€200k€2M€20M€60MSee them in the Explorer →

Where Olmo appears

Watchlists and the comparison tray are kept in this browser only.

Near this valuation closest observed values: same league, then same position

Counts and ranks of observed Transfermarkt values only; model errors are never ranked here. Full player export: Every player in the modelling population (D-011).