Lubomir Tupta

28 yrs · Striker (also AM) · Slovakia
Athlitiki Enosi Larisas · Super League 1 · Foot: right · Height: 182 cm
Risk: ModerateConfidence: MediumSample: HighDevelopment: LowContract: until 30 Jun 2028
Market value
€600k
Updated 7 days ago
Estimated acquisition
€216k – €680k
Estimated · 20–80% range
Model value
€346k – €1.1M
Performance-implied · estimated
Projected (24m)
€295k – €659k
Resale range · estimated
Potential value gap
-€334k – €854k
Model value − acquisition

Value picture

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

Estimated acquisition€216k – €680k
Model value (performance-implied)€346k – €1.1M
Projected value (24 months)€295k – €659k
Dashed line: current market value (€600k). Bars are 20–80% model ranges; tick = median.

The model rates Lubomir Tupta's performance-implied value at EUR 0.3M-1.1M, above the estimated acquisition range of EUR 0.2M-0.7M. Its 24-month market value projection is EUR 0.3M-0.7M. Context-adjusted goal contributions are 0.86x the positional average in the league (1921 minutes, league coefficient 0.43). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: 72

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

PerformanceBelow average16.1th pct among ATT peers (age-neutral)
AgeUnfavorable28.3 years
Acquisition costFavorableest. €369k vs market €600k
Expected appreciationLow-24% over ~2 years (model)
Value gapLargeweak predictor on its own
DevelopmentLow
League translationUncertainleague coefficient 0.43
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskModerate
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: €800k

Profile vs positional peers

Percentiles among 900 evaluated ATT players with 900+ minutes.

Performance (last season, league)

Minutes
1921 (82% of available)
Goals + assists / 90
0.23
Context-adjusted G+A / 90
0.43
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
16 (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
0.42 (rank 16)
Team strength (Elo)
1129
Opponent strength
1235
Possession, role
Data unavailable

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

Potential

Development
Low
Trajectory
insufficient
Breakout probability
Age > 23
Resale range (24m)
€295k – €659k

Historical comparables (8): median 2-year value change -27% (IQR -57% to +5%).

Risk profile

Overall: Moderate

  • ⚠League level coefficient 0.43 (1.00 = big-five average): output may not translate.
  • ⚠No continental-competition minutes last 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
19 (ATT)
Relative output kept
99%–112%
Held a regular role (900+ min)
47%
Confidence
Low

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.
2025/26Athlitiki Enosi LarisasSuper League 1ST25192182%320.230.43123511290.43
2020/21Hellas VeronaSerie AAM2491%000.000.59155213690.90
2017/18Hellas VeronaSerie AST2291%000.000.62138512210.86

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Kypello ElladasAthlitiki Enosi Larisas537910—
2019/20Italy CupHellas Verona110500—
2017/18Italy CupHellas Verona12900—
2015/16Italy CupHellas Verona19000—

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
Emil Scheel
Superliga · 2017
27€400k€150kfell
Thuram
Super League 1 · 2017
26€700k€300kfell
Nicolas Diguiny
Super League 1 · 2016
28€350k€800krose
Georgios Manousos
Super League 1 · 2016
29€500k€700krose
Tobias Sana
Superliga · 2018
29€500k€475kflat
Milos Deletic
Super League 1 · 2023
30€700k€500kfell
Kosta Aleksic
Super League 1 · 2024
26€600k€450kfell
Fábio Sturgeon
Super League 1 · 2021
27€600k€250kfell

Transfer history

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

DateFromToFeeMV at time
17 Jul 2025Slovan LiberecAE LarisaUnknown€700k
30 Jun 2025Widzew LodzSlovan LiberecFree / loan€700k
22 Feb 2025Slovan LiberecWidzew LodzFree / loan€700k
1 Jul 2023PescaraSlovan Liberec€100k€600k
30 Jun 2023Slovan LiberecPescaraFree / loan€600k
2 Feb 2023PescaraSlovan LiberecFree / loan€400k
1 Sept 2022Hellas VeronaPescaraFree / loan€450k
30 Jun 2022Slovan LiberecHellas VeronaFree / loan€450k
17 Aug 2021Hellas VeronaSlovan LiberecFree / loan€350k
30 Jun 2021FC SionHellas VeronaFree / loan€350k
10 Feb 2021Hellas VeronaFC SionFree / loan€350k
9 Feb 2021AscoliHellas VeronaFree / loan€350k
5 Oct 2020Hellas VeronaAscoliFree / loan€350k
20 Jul 2020Wisla KrakówHellas VeronaFree / loan€350k
11 Jan 2020Hellas VeronaWisla KrakówFree / loan€400k
1 Jul 2018Verona U19Hellas VeronaUnknown€400k
1 Jul 2016Catania U19Verona U19€100k€225k
30 Jun 2016Verona U19Catania U19Free / loan€225k
31 Aug 2015Catania U19Verona U19Free / loanData unavailable
1 Jul 2015Catania YouthCatania U19UnknownData unavailable
1 Jul 2014T. Presov Yth.Catania YouthFree / loanData 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.