Karol Linetty

31 yrs · Central midfielder (also AM, DM) · Poland
Kocaelispor · Super Lig · Foot: right · Height: 175 cm
Risk: HighConfidence: MediumSample: MediumDevelopment: LowContract: until 30 Jun 2027
Market value
€1.2M
Updated 6 days ago
Estimated acquisition
€276k – €882k
Estimated · 20–80% range
Model value
€981k – €1.4M
Performance-implied · estimated
Projected (24m)
€320k – €868k
Resale range · estimated
Potential value gap
€99k – €1.2M
Model value − acquisition

Value picture

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

Estimated acquisition€276k – €882k
Model value (performance-implied)€981k – €1.4M
Projected value (24 months)€320k – €868k
Dashed line: current market value (€1.2M). Bars are 20–80% model ranges; tick = median.

The model rates Karol Linetty's performance-implied value at EUR 1.0M-1.4M, above the estimated acquisition range of EUR 0.3M-0.9M. Its 24-month market value projection is EUR 0.3M-0.9M. Context-adjusted goal contributions are 0.87x the positional average in the league (1527 minutes, league coefficient 0.40). 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: 57

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

PerformanceAverage44.4th pct among MID peers (age-neutral)
AgeUnfavorable31.4 years
Acquisition costVery favorableest. €369k vs market €1.2M
Expected appreciationVery low-47% over ~2 years (model)
Value gapVery largeweak predictor on its own
DevelopmentLow
League translationUncertainleague coefficient 0.4
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskHigh
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: €15.0M

Profile vs positional peers

Percentiles among 1163 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
1527 (50% of available)
Goals + assists / 90
0.18
Context-adjusted G+A / 90
0.19
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
44 (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)
1188
Opponent strength
1267
Possession, role
Data unavailable

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

Potential

Development
Low
Trajectory
stable
Breakout probability
Age > 23
Resale range (24m)
€320k – €868k

Trajectory drivers: changed club; team strength down (-270 Elo); league level down (-234 Elo); role change DM -> CM.

Historical comparables (8): median 2-year value change -56% (IQR -71% to -38%).

Risk profile

Overall: High

  • ⚠Limited sample: 1527 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.
  • ⚠Age 31: resale value typically declines.
  • ⓘ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
35 (MID)
Relative output kept
77%–144%
Held a regular role (900+ min)
69%
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.
2025/26KocaelisporSuper LigCM25152750%030.180.19126711880.40
2024/25Torino FCSerie ADM28154445%110.120.12151914580.99
2023/24Torino FCSerie ADM28186054%000.000.04148715100.98
2022/23Torino FCSerie ACM32188955%100.050.11147614680.94
2021/22Torino FCSerie AAM1689926%020.200.35145414230.89
2020/21Torino FCSerie ACM27183754%100.050.11146313730.90
2019/20UC SampdoriaSerie ACM28202159%430.310.32147013740.82
2018/19UC SampdoriaSerie ACM32251774%330.210.24147314070.78
2017/18UC SampdoriaSerie ACM29213362%320.210.23145713930.86
2016/17UC SampdoriaSerie ACM35238270%140.190.21148514140.88

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2024/25Italy CupTorino FC215600—
2023/24Italy CupTorino FC16600—
2022/23Italy CupTorino FC311400—
2021/22Italy CupTorino FC214401—
2020/21Italy CupTorino FC319300—
2019/20Italy CupUC Sampdoria217500—
2018/19Italy CupUC Sampdoria37200—
2016/17Italy CupUC Sampdoria324801—

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
Flavien Tait
Super Lig · 2024
31€2.0M€300kfell
Damjan Djokovic
Super Lig · 2021
31€1.1M€300kfell
Andi Lila
Super League 1 · 2017
31€500k€250kfell
Sammy Clingan
Scottish Premiership · 2015
31€450k€450kflat
César Pinares
Super Lig · 2022
31€1.5M€800kfell
Onur Ergün
Super Lig · 2023
31€850k€325kfell
Ovidiu Herea
Super League 1 · 2016
31€500k€150kfell
Campanharo
Super Lig · 2022
30€1.2M€1.2Mflat

Transfer history

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

DateFromToFeeMV at time
14 Aug 2025TorinoKocaelisporFree / loan€1.8M
1 Sept 2020SampdoriaTorino€7.5M€10.0M
29 Jul 2016Lech PoznanSampdoria€3.1M€3.2M
1 Jul 2012Lech U19Lech PoznanUnknownData unavailable
1 Jul 2011Lech YouthLech U19UnknownData unavailable

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.