FairValue

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  • EnvironmentOverviewWhat FairValue measures, what it found, where to go next.
  • EnvironmentTerminalExplore, compare and track players; market, league and model views.
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  • TerminalMarket LandscapeHow observed value is distributed, and where the model drifts.

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Bitello

AMBrazil · Dynamo Moscow

№ 703497Elite €9.6M +0.44

Player dossierPremier Liga

Bitello

AMAttacking MidfieldMidfield

Club
Dynamo Moscow
League
Premier Liga
Nationality
Brazil
Age
26
Height
179 cm
Foot
Right
Valued
26 May 2026

Reading the valuation

The market values Bitello at €15M. Model A, which never saw Bitello during training, estimates €9.6M: the market value is 56% above that estimate.

That is a factor of ×1.56. 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 €13.8M, closer to the market here, although it is usually further off (typical miss ×2.07).

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

▲ +0.44A €9.6M▲ +0.08B €13.8M
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
72
Minutes
5,503
Goals
9
Assists
25
Started
61/72
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 Bitello…

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 €15M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €15MModel A €9.6M

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

Bitello's percentiles among midfielders: Goals per 90 71st, Assists per 90 99th, Minutes, two years 91st, Starts 78th, Minutes, last 365 days 92nd, European club minutes 30th71stGoals99thAssists91stMinutes78thStarts92ndRecent30thEurope

Dashed ring: the midfielder median (50th percentile)

Assists per 90

Club assists per 90 minutes in the same window.

0.41 this player0.09 midfielder median99th percentile

0.00peer deciles · median line · this player ●0.74

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
€250k
May 2021
Peak
€15M
May 2026
Model target
€15M
May 2026
Valuations
14
2 club changes
May 2026€15MDynamo MoscowValuation the model is trained to reproduce

May 2026: €15M, Dynamo Moscow. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2021-05-28€250kGrêmio FBPA B (-2022)
2022-08-05€1.3MGrêmio Foot-Ball Porto Alegrense
2022-12-28€1.8MGrêmio Foot-Ball Porto Alegrense
2023-04-07€3.5MGrêmio Foot-Ball Porto Alegrense
2023-07-25€7MGrêmio Foot-Ball Porto Alegrense
2023-10-05€8MDynamo Moscow
2023-12-13€10MDynamo Moscow
2024-06-04€12MDynamo Moscow
2024-12-12€12MDynamo Moscow
2025-03-05€11MDynamo Moscow
2025-06-04€12MDynamo Moscow
2025-12-16€12MDynamo Moscow
2026-03-25€14MDynamo Moscow
2026-05-26€15MDynamo Moscow

Audit context group-level, not about this player

Audit group
non-UEFA
Population gap, Model A
+0.093 95% CI +0.063 to +0.124
This player, market vs held-out A
+0.444

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 →

Premier Liga412 players · median €1M

Joint 9th highest observed value among 412 Premier Liga players.

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

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

Valued above 83% of the 1,687 midfielders.

€20k€200k€2M€20M€15MSee them in the Explorer →

Where Bitello 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).