FairValue

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Valentin

Mihăilă

LWRomania · Caykur Rizespor

№ 535469Established €1.8M +0.65

Player dossierSüper Lig

ValentinMihăilă

LWLeft WingerAttack

Club
Caykur Rizespor
League
Süper Lig
Nationality
Romania
Age
26
Height
180 cm
Foot
Right
Valued
21 May 2026

Reading the valuation

The market values Mihăilă at €3.5M. Model A, which never saw Mihăilă during training, estimates €1.8M: the market value is 91% above that estimate.

That is a factor of ×1.91. Model A's typical held-out miss is ×1.50 either way, so this gap is larger than its usual error.

Without league and club, Model B estimates €1.8M, 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.

▲ +0.65A €1.8M▲ +0.68B €1.8M
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
44
Minutes
2,689
Goals
5
Assists
6
Started
32/44
Min / app
61
Cards
7Y 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 Mihăilă…

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 €3.5M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €3.5MModel A €1.8M

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 1,583 attackers

Valentin Mihăilă's percentiles among attackers: Goals per 90 28th, Assists per 90 70th, Minutes, two years 61st, Starts 72nd, Minutes, last 365 days 50th, European club minutes 28th28thGoals70thAssists61stMinutes72ndStarts50thRecent28thEurope

Dashed ring: the attacker median (50th percentile)

Starts

Share of appearances started rather than entered from the bench.

73% this player59% attacker median72nd percentile

5%peer deciles · median line · this player ●100%

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
€50k
Jun 2018
Peak
€8.5M
Mar 2021
Model target
€3.5M
May 2026
Valuations
22
5 club changes
May 2026€3.5MCaykur RizesporValuation the model is trained to reproduce

May 2026: €3.5M, Caykur Rizespor. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2018-06-24€50kUniv. Craiova U19
2018-12-23€400kUniversitatea Craiova
2019-06-18€800kUniversitatea Craiova
2019-12-21€1.5MUniversitatea Craiova
2020-04-08€1.3MUniversitatea Craiova
2020-08-05€2.5MUniversitatea Craiova
2020-10-29€6MParma Calcio 1913
2020-12-29€6MParma Calcio 1913
2021-03-23€8.5MParma Calcio 1913
2021-06-03€8.5MParma Calcio 1913
2021-12-29€6MParma Calcio 1913
2022-06-07€5.5MAtalanta BC
2022-12-22€4.5MParma Calcio 1913
2023-03-20€3.5MParma Calcio 1913
2023-06-12€2.7MParma Calcio 1913
2023-10-11€2.4MParma Calcio 1913
2023-12-27€2MParma Calcio 1913
2024-06-03€2.8MParma Calcio 1913
2024-12-18€3MParma Calcio 1913
2025-06-17€3MParma Calcio 1913
2025-12-17€2.8MCaykur Rizespor
2026-05-21€3.5MCaykur Rizespor

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
+0.647

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 →

Süper Lig428 players · median €1.2M

Valued above 75% of the 428 Süper Lig players.

€50k€300k€2M€15M€3.5MSee them in the Explorer →

Attackers, all leagues1,583 players · median €2.5M

Valued above 56% of the 1,583 attackers.

€20k€300k€5M€75M€3.5MSee them in the Explorer →

Where Mihăilă 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).