FairValue

Checking model

Esc

  • EnvironmentOverviewWhat FairValue measures, what it found, where to go next.
  • EnvironmentTerminalExplore, compare and track players; market, league and model views.
  • EnvironmentStoriesValuations, head-to-heads and research findings, told as stories.
  • TerminalPlayer ExplorerSearch, filter and sort the player export.
  • TerminalComparison StudioTwo to four players on one scale.
  • TerminalWatchlistsNamed collections, kept in this browser.
  • TerminalMarket LandscapeHow observed value is distributed, and where the model drifts.

↑ ↓ to move · Enter to open · Esc to closeLoading player index…

Makana

Baku

LWGermany · Atromitos Athens

№ 336974Emerging €1.5M −0.61

Player dossierSuper League

MakanaBaku

LWLeft WingerAttack

Club
Atromitos Athens
League
Super League
Nationality
Germany
Age
28
Height
177 cm
Foot
Right
Valued
4 Jun 2026

Reading the valuation

The market values Baku at €800k. Model A, which never saw Baku during training, estimates €1.5M: the market value is 45% below that estimate.

That is a factor of ×1.83. 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.

▼ −0.61A €1.5M▼ −0.83B €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
58
Minutes
4,388
Goals
10
Assists
10
Started
53/58
Min / app
76
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 Baku…

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 €800k

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €800kModel A €1.5M

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

Makana Baku's percentiles among attackers: Goals per 90 37th, Assists per 90 71st, Minutes, two years 85th, Starts 95th, Minutes, last 365 days 85th, European club minutes 28th37thGoals71stAssists85thMinutes95thStarts85thRecent28thEurope

Dashed ring: the attacker median (50th percentile)

Starts

Share of appearances started rather than entered from the bench.

91% this player59% attacker median95th 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
Aug 2017
Peak
€1M
Oct 2021
Model target
€800k
Jun 2026
Valuations
27
6 club changes
Jun 2026€800kAtromitos AthensValuation the model is trained to reproduce

Jun 2026: €800k, Atromitos Athens. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2017-08-18€50kSG Sonnenhof Großaspach
2017-10-19€150kSG Sonnenhof Großaspach
2018-01-19€175kSG Sonnenhof Großaspach
2018-06-08€200kSG Sonnenhof Großaspach
2018-10-13€250kSG Sonnenhof Großaspach
2019-01-15€300kSG Sonnenhof Großaspach
2019-06-14€400kSG Sonnenhof Großaspach
2019-09-25€800kHolstein Kiel
2019-12-13€800kHolstein Kiel
2020-04-08€725kHolstein Kiel
2020-11-18€600kHolstein Kiel
2021-05-21€900kWarta Poznan
2021-10-12€1MGöztepe
2022-01-04€900kGöztepe
2022-03-31€775kGöztepe
2022-06-01€700kGöztepe
2022-11-16€550kLegia Warszawa
2023-03-30€400kLegia Warszawa
2023-06-09€400kLegia Warszawa
2023-10-06€600kLegia Warszawa
2023-12-29€450kLegia Warszawa
2024-05-30€450kOFI Crete
2024-12-18€500kAtromitos Athens
2025-05-23€600kAtromitos Athens
2025-12-12€600kAtromitos Athens
2026-03-06€700kAtromitos Athens
2026-06-04€800kAtromitos Athens

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
−0.605

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 →

Super League356 players · median €600k

Valued above 60% of the 356 Super League players.

€20k€150k€1M€7.5M€800kSee them in the Explorer →

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

Valued above 25% of the 1,583 attackers.

€20k€300k€5M€75M€800kSee them in the Explorer →

Where Baku 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).