FairValue

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Ragnar

Ache

CFGermany · 1.FC Köln

№ 416380Established €6.2M +0.37

Player dossierBundesliga

RagnarAche

CFCentre-ForwardAttack

Club
1.FC Köln
League
Bundesliga
Nationality
Germany
Age
27
Height
183 cm
Foot
Right
Valued
27 May 2026

Reading the valuation

The market values Ache at €9M. Model A, which never saw Ache during training, estimates €6.2M: the market value is 45% above that estimate.

That is a factor of ×1.45. Model A's typical held-out miss is ×1.50 either way, so this gap is within its usual error.

Without league and club, Model B estimates €2.9M, 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.

▲ +0.37A €6.2M▲ +1.12B €2.9M
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
31
Minutes
1,831
Goals
8
Assists
7
Started
19/31
Min / app
59
Cards
3Y 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 Ache…

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 €9M

Checking API
EmergingEstablishedEliteWorld Class€2M€10M€30M€100k€1M€100MMarket €9MModel A €6.2M

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 1,583 attackers

Ragnar Ache's percentiles among attackers: Goals per 90 75th, Assists per 90 95th, Minutes, two years 40th, Starts 54th, Minutes, last 365 days 68th, European club minutes 28th75thGoals95thAssists40thMinutes54thStarts68thRecent28thEurope

Dashed ring: the attacker median (50th percentile)

Assists per 90

Club assists per 90 minutes in the same window.

0.34 this player0.15 attacker median95th percentile

0.00peer deciles · median line · this player ●0.73

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
Apr 2017
Peak
€9M
May 2026
Model target
€9M
May 2026
Valuations
29
5 club changes
May 2026€9M1.FC KölnValuation the model is trained to reproduce

May 2026: €9M, 1.FC Köln. Dotted lines mark the €2M, €10M and €30M tier boundaries.

Show as a table
DateMarket valueClub
2017-04-04€50kSparta Rotterdam U21
2017-08-01€75kSparta Rotterdam
2017-10-26€300kSparta Rotterdam
2018-01-17€300kSparta Rotterdam
2018-06-12€250kSparta Rotterdam
2019-01-21€200kSparta Rotterdam
2019-07-03€450kSparta Rotterdam
2019-09-19€500kSparta Rotterdam
2019-12-18€1MSparta Rotterdam
2020-04-08€900kSparta Rotterdam
2020-09-16€1.8MEintracht Frankfurt
2021-02-10€1.8MEintracht Frankfurt
2021-06-09€1.8MEintracht Frankfurt
2021-12-22€1.8MEintracht Frankfurt
2022-06-09€1.5MEintracht Frankfurt
2022-09-28€1MSpVgg Greuther Fürth
2022-11-30€1MSpVgg Greuther Fürth
2023-06-28€1MSpVgg Greuther Fürth
2023-10-20€2M1.FC Kaiserslautern
2023-12-15€2M1.FC Kaiserslautern
2024-03-22€3M1.FC Kaiserslautern
2024-06-06€3M1.FC Kaiserslautern
2024-09-25€4M1.FC Kaiserslautern
2024-12-19€5M1.FC Kaiserslautern
2025-03-26€7M1.FC Kaiserslautern
2025-06-19€7M1.FC Kaiserslautern
2025-12-19€7M1.FC Köln
2026-03-20€8M1.FC Köln
2026-05-27€9M1.FC Köln

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
+0.370

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 →

Bundesliga451 players · median €5M

Valued above 64% of the 451 Bundesliga players.

€300k€2M€15M€100M€9MSee them in the Explorer →

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

Valued above 76% of the 1,583 attackers.

€20k€300k€5M€75M€9MSee them in the Explorer →

Where Ache 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).