Kazımcan Karataş

23 yrs · Left-back · Türkiye
Basaksehir FK · Super Lig · Foot: left · Height: 182 cm
Risk: Very HighConfidence: MediumSample: MediumDevelopment: LowContract: until 30 Jun 2027
Market value
€2.0M
Updated 6 days ago
Estimated acquisition
€867k – €2.2M
Estimated · 20–80% range
Model value
€681k – €1.5M
Performance-implied · estimated
Projected (24m)
€1.1M – €4.0M
Resale range · estimated
Potential value gap
-€1.5M – €631k
Model value − acquisition

Value picture

Where the market, the likely price and the model estimates sit.

Estimated acquisition€867k – €2.2M
Model value (performance-implied)€681k – €1.5M
Projected value (24 months)€1.1M – €4.0M
Dashed line: current market value (€2.0M). Bars are 20–80% model ranges; tick = median.

The model rates Kazımcan Karataş's performance-implied value at EUR 0.7M-1.5M, below the estimated acquisition range of EUR 0.9M-2.2M. Its 24-month market value projection is EUR 1.1M-4.0M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Acquisition note: Final year of contract: selling club's leverage is reduced.

Bargain Index: 93

What drives the score. Not a black box: each component and its level.

PerformanceBelow average22.1th pct among DEF peers (age-neutral)
AgeFavorable23.5 years
Acquisition costVery favorableest. €1.2M vs market €2.0M
Expected appreciationNeutral-0% over ~2 years (model)
Value gapVery negativeweak predictor on its own
DevelopmentLow
League translationUncertainleague coefficient 0.4
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskVery High
Data confidenceMedium

Bargain Index = percentile (among all evaluated players) of expected 2-year value relative to estimated cost. See methodology and backtests.

Market value history

Market value ≠ transfer fee ≠ acquisition cost.

Highest recorded: €2.5M

Profile vs positional peers

Percentiles among 1268 evaluated DEF players with 900+ minutes.

Performance (last season, league)

Minutes
1139 (37% of available)
Goals + assists / 90
0.24
Context-adjusted G+A / 90
0.22
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
22 (Below average)

Adjusted = shrunk toward positional baseline for small samples, corrected for team dominance over opponents, expressed relative to positional peers in the same league.

Context

League strength
0.40 (rank 18)
Team strength (Elo)
1412
Opponent strength
1278
Possession, role
Data unavailable

League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.

Potential

Development
Low
Trajectory
declining
Breakout probability
Age > 23
Resale range (24m)
€1.1M – €4.0M

Trajectory drivers: changed club; team strength up (+210 Elo); league level down (-71 Elo); relative output down 37% vs positional peers.

Historical comparables (8): median 2-year value change -18% (IQR -46% to +67%).

Risk profile

Overall: Very High

  • ⚠Limited sample: 1139 league minutes last season.
  • ⚠League level coefficient 0.40 (1.00 = big-five average): output may not translate.
  • ⚠No continental-competition minutes last season.
  • ⚠Contract ends in 12 months: cheaper, but competition and wage demands likely.
  • ⚠Projection range wider than for most evaluated players.
  • ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
  • ⚠Declining trajectory versus previous season.
  • ⓘInjury history unavailable from current data source.

League translation

What happened to players who moved from this league to the big-five leagues (observed, not a forecast).

Historical movers
50 (DEF)
Relative output kept
68%–191%
Held a regular role (900+ min)
54%
Confidence
Medium

Output is relative to positional peers in each league. Movers are a selected group (clubs buy players who fit), so treat this as context, not a guarantee.

Season-by-season (domestic league)

Context-adjusted values are model outputs.

SeasonClubLeaguePosAppsMinMin shareGAG+A/90Adj. G+A/90Opp. EloTeam EloLeague str.
2025/26Basaksehir FKSuper LigLB1170023%020.260.22127813570.40
2025/26GalatasaraySuper LigLB843914%010.210.12127615010.40
2024/25FC OrenburgPremier LigaLB18122545%120.220.28130912020.55
2023/24MKE AnkaragücüSuper LigLB1161018%000.000.09126412180.45
2023/24GalatasaraySuper LigLB840412%000.000.05123415970.45
2022/23GalatasaraySuper LigLB1172522%000.000.05129215350.50
2021/22Altay SKSuper LigLB23143842%020.130.17126411380.42

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2024/25Russian CupFC Orenburg435000—
2023/24Uefa Champions LeagueGalatasaray175001814
2023/24Uefa Champions League QualifyingGalatasaray163001366

Small continental samples are shown for context only and are not over-weighted.

Historical comparables

Most similar profiles 2+ years ago (same position group) and what happened next. Chosen by similarity only — failures included.

Player (then)AgeValue then~2y laterOutcome
Erik Sviatchenko
Superliga · 2015
24€1.5M€2.8Mrose
Adam Gabriel
Superliga · 2024
23€1.2M€650kfell
Fabrice N'Sakala
Jupiler Pro League · 2014
24€2.2M€1.2Mfell
Henrik Heggheim
Superliga · 2022
21€1.5M€1.0Mfell
Ilya Agapov
Premier Liga · 2024
23€1.5M€1.5Mflat
Lefteris Lyratzis
Super League 1 · 2023
23€2.0M€850kfell
Aurélio Buta
Jupiler Pro League · 2022
25€3.0M€5.0Mrose
Kostyantyn Vivcharenko
Premier Liga · 2024
22€1.5M€2.5Mrose

Transfer history

Fees as reported by the source; undisclosed fees shown as unknown, never estimated.

DateFromToFeeMV at time
30 Jun 2026BasaksehirGalatasarayFree / loan€2.0M
6 Feb 2026GalatasarayBasaksehirFree / loan€2.0M
30 Jun 2025OrenburgGalatasarayFree / loan€1.2M
29 Jul 2024GalatasarayOrenburgFree / loan€1.9M
30 Jun 2024AnkaragücüGalatasarayFree / loan€1.9M
8 Feb 2024GalatasarayAnkaragücüFree / loan€2.5M
1 Jul 2022Altay SKGalatasaray€1.1M€950k
4 Aug 2020Altay SK YthAltay SKUnknown€25k

MoneyballAI identifies statistical opportunities from available data. A player flagged as a potential bargain is not guaranteed to succeed, to transfer, to rise in value, or to generate resale profit. Market values, fees and contracts come from third-party sources; ranges are model estimates with stated confidence.