Giannis Pasas

36 yrs · Left winger (also ST) · Greece
Athlitiki Enosi Larisas · Super League 1 · Foot: left · Height: 184 cm
Risk: Very HighConfidence: LowSample: LowDevelopment: LowContract: until 30 Jun 2027
Market value
€125k
Updated 6 days ago
Estimated acquisition
€32k – €159k
Estimated · 20–80% range
Model value
€112k – €338k
Performance-implied · estimated
Projected (24m)
€82k – €125k
Resale range · estimated
Potential value gap
-€46k – €306k
Model value − acquisition

Value picture

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

Estimated acquisition€32k – €159k
Model value (performance-implied)€112k – €338k
Projected value (24 months)€82k – €125k
Dashed line: current market value (€125k). Bars are 20–80% model ranges; tick = median.

The model rates Giannis Pasas's performance-implied value at EUR 0.1M-0.3M, above the estimated acquisition range of EUR 0.0M-0.2M. Its 24-month market value projection is EUR 0.1M-0.1M. Context-adjusted goal contributions are 1.45x the positional average in the league (665 minutes, league coefficient 0.43). Confidence is low: 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: not assigned

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

Insufficient sample (< 900 league minutes)

PerformanceBelow average1.3th pct among ATT peers (age-neutral)
AgeUnfavorable35.7 years
Acquisition costVery favorableest. €43k vs market €125k
Expected appreciationNeutral+2% over ~2 years (model)
Value gapVery largeweak predictor on its own
DevelopmentLow
League translationUncertainleague coefficient 0.43
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskVery High
Data confidenceLow

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: €400k

Profile vs positional peers

Percentiles among 901 evaluated ATT players with 900+ minutes.

Performance (last season, league)

Minutes
665 (28% of available)
Goals + assists / 90
0.54
Context-adjusted G+A / 90
0.59
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
1 (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
1233
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)
€82k – €125k

Historical comparables (8): median 2-year value change -18% (IQR -34% to +0%).

Risk profile

Overall: Very High

  • ▲Small sample: 665 league minutes last season.
  • ▲Age 36: resale value typically declines.
  • ⚠League level coefficient 0.43 (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.
  • ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
  • ⓘ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 1LW1866528%400.540.59123311290.43
2016/17Iraklis ThessalonikiSuper League 1LW26121245%120.220.41129112260.44
2015/16Iraklis ThessalonikiSuper League 1LW22143553%030.190.39133512330.46
2013/14Panetolikos AgrinioSuper League 1ST61104%000.000.58135112920.52

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Kypello ElladasAthlitiki Enosi Larisas316701—
2016/17Kypello ElladasIraklis Thessaloniki324020—
2015/16Kypello ElladasIraklis Thessaloniki528010—
2013/14Kypello ElladasPanetolikos Agrinio421910—

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
Simon Makienok
Superliga · 2024
34€100k€100kflat
Hélder Barbosa
Super League 1 · 2022
35€200k€200kflat
Anthony Mounier
Super League 1 · 2021
34€200k€100kfell
Papiss Cissé
Super Lig · 2022
37€250k€200kfell
Kjartan Finnbogason
Superliga · 2021
35€200k€125kfell
Emre Güral
Super Lig · 2021
32€150k€100kfell
Yonathan Del Valle
Super Lig · 2023
33€150k€125kflat
Kazenga LuaLua
Super League 1 · 2023
33€200k€200kflat

Transfer history

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

DateFromToFeeMV at time
1 Jul 2024KalamataAE LarisaFree / loan€250k
5 Jul 2022Veria NPSKalamataFree / loan€400k
31 Aug 2019AOK KerkyraVeria NPSFree / loan€250k
24 Jan 2019IraklisAOK KerkyraFree / loan€350k
8 Aug 2018Aris SalonikiIraklisFree / loan€350k
27 Jul 2017IraklisAris SalonikiFree / loan€400k
10 Jul 2014PanetolikosIraklisFree / loan€200k
30 Jun 2009AkarnanikosPanetolikosFree / loanData unavailable
1 Jan 2009PanetolikosAkarnanikosFree / loanData unavailable
1 Jul 2008Panetolikos U20PanetolikosUnknownData 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.