FairValue

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  • EnvironmentOverviewWhat FairValue measures, what it found, where to go next.
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  • TerminalMarket LandscapeHow observed value is distributed, and where the model drifts.

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Oleksandr

Andriyevskyi

CMUkraine · Polissya Zhytomyr

№ 207074Emerging €1.2M −0.42

Player dossierPremier Liha

OleksandrAndriyevskyi

CMCentral MidfieldMidfield

Club
Polissya Zhytomyr
League
Premier Liha
Nationality
Ukraine
Age
31
Height
179 cm
Foot
Left
Valued
2 Jun 2026

Reading the valuation

The market values Andriyevskyi at €800k. Model A, which never saw Andriyevskyi during training, estimates €1.2M: the market value is 34% below that estimate.

That is a factor of ×1.53. 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.

▼ −0.42A €1.2M▼ −0.80B €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
61
Minutes
3,675
Goals
8
Assists
7
Started
44/61
Min / app
60
Cards
8Y 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 Andriyevskyi…

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 €1.2M

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

Oleksandr Andriyevskyi's percentiles among midfielders: Goals per 90 82nd, Assists per 90 77th, Minutes, two years 69th, Starts 56th, Minutes, last 365 days 75th, European club minutes 79th82ndGoals77thAssists69thMinutes56thStarts75thRecent79thEurope

Dashed ring: the midfielder median (50th percentile)

Goals per 90

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

0.20 this player0.08 midfielder median82nd 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
€200k
Oct 2014
Peak
€1.5M
Jun 2023
Model target
€800k
Jun 2026
Valuations
24
4 club changes
Jun 2026€800kPolissya ZhytomyrValuation the model is trained to reproduce

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

Show as a table
DateMarket valueClub
2014-10-18€200kGirnyk-Sport Komsomolsk
2016-07-21€200kChornomorets Odesa
2016-09-30€300kChornomorets Odesa
2017-01-03€400kChornomorets Odesa
2017-06-26€500kChornomorets Odesa
2018-01-12€900kZorya Lugansk
2018-08-06€1MDynamo Kyiv
2018-12-10€1MDynamo Kyiv
2019-06-20€800kDynamo Kyiv
2020-01-08€800kDynamo Kyiv
2020-04-08€650kDynamo Kyiv
2020-09-04€800kDynamo Kyiv
2021-01-14€1.2MDynamo Kyiv
2021-06-07€1.2MDynamo Kyiv
2021-12-20€1.2MDynamo Kyiv
2022-05-18€1.2MDynamo Kyiv
2022-12-06€1MDynamo Kyiv
2023-06-21€1.5MDynamo Kyiv
2023-12-11€1.5MDynamo Kyiv
2024-06-06€1.5MDynamo Kyiv
2024-12-17€1.2MDynamo Kyiv
2025-06-10€1MPolissya Zhytomyr
2025-12-18€1MPolissya Zhytomyr
2026-06-02€800kPolissya Zhytomyr

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
−0.422

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 Liha414 players · median €400k

Valued above 71% of the 414 Premier Liha players.

€50k€200k€1M€5M€800kSee them in the Explorer →

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

Valued above 27% of the 1,687 midfielders.

€20k€200k€2M€20M€800kSee them in the Explorer →

Where Andriyevskyi 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).