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…

Pedro

RWSpain · SS Lazio

№ 65278Emerging €2.6M −0.97

Player dossierSerie A

Pedro

RWRight WingerAttack

Club
SS Lazio
League
Serie A
Nationality
Spain
Age
38
Height
167 cm
Foot
Both
Valued
29 May 2026

Reading the valuation

The market values Pedro at €1M. Model A, which never saw Pedro during training, estimates €2.6M: the market value is 62% below that estimate.

That is a factor of ×2.64. 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 €2M, 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.

▼ −0.97A €2.6M▼ −0.72B €2M
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
76
Minutes
3,130
Goals
19
Assists
7
Started
28/76
Min / app
41
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 Pedro…

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 €1M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €1MModel A €2.6M

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 1,583 attackers

Pedro's percentiles among attackers: Goals per 90 92nd, Assists per 90 70th, Minutes, two years 68th, Starts 17th, Minutes, last 365 days 39th, European club minutes 94th92ndGoals70thAssists68thMinutes17thStarts39thRecent94thEurope

Dashed ring: the attacker median (50th percentile)

European club minutes

Share of minutes played in UEFA club competitions.

29% this player0% attacker median94th percentile

0%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
€100k
Jan 2008
Peak
€30M
Jan 2013
Model target
€1M
May 2026
Valuations
47
3 club changes
May 2026€1MSS LazioValuation the model is trained to reproduce

May 2026: €1M, SS Lazio. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2008-01-15€100kFC Barcelona
2008-02-04€300kFC Barcelona
2008-08-20€500kFC Barcelona
2008-10-15€1MFC Barcelona
2009-01-26€1MFC Barcelona
2009-07-22€2MFC Barcelona
2009-12-03€6MFC Barcelona
2010-01-07€10MFC Barcelona
2010-04-12€14MFC Barcelona
2010-08-27€20MFC Barcelona
2010-12-10€25MFC Barcelona
2011-07-29€28MFC Barcelona
2012-02-03€28MFC Barcelona
2012-08-07€28MFC Barcelona
2013-01-10€30MFC Barcelona
2013-06-12€22MFC Barcelona
2014-01-23€25MFC Barcelona
2014-07-20€25MFC Barcelona
2015-01-23€25MFC Barcelona
2015-04-09€20MFC Barcelona
2015-07-01€20MFC Barcelona
2015-10-14€25MChelsea FC
2016-02-09€23MChelsea FC
2016-06-01€23MChelsea FC
2016-08-01€23MChelsea FC
2017-02-20€25MChelsea FC
2017-06-28€28MChelsea FC
2018-01-02€25MChelsea FC
2018-05-28€25MChelsea FC
2018-12-19€25MChelsea FC
2019-06-13€20MChelsea FC
2019-12-10€17MChelsea FC
2020-03-09€12MChelsea FC
2020-04-08€9.5MChelsea FC
2020-10-13€7.5MAS Roma
2020-12-29€7.5MAS Roma
2021-06-03€5MAS Roma
2021-12-28€4MSS Lazio
2022-06-07€3MSS Lazio
2022-11-11€2.5MSS Lazio
2023-06-15€1.5MSS Lazio
2023-12-20€1.5MSS Lazio
2024-06-05€1MSS Lazio
2024-12-18€1MSS Lazio
2025-06-17€1MSS Lazio
2025-12-23€1MSS Lazio
2026-05-29€1MSS Lazio

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
−0.969

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 →

Serie A507 players · median €5.5M

Valued above 8% of the 507 Serie A players.

€100k€750k€5M€30M€1MSee them in the Explorer →

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

Valued above 29% of the 1,583 attackers.

€20k€300k€5M€75M€1MSee them in the Explorer →

Where Pedro 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).