Odysseus Velanas

28 yrs · Attacking midfielder (also CM, LW) · Netherlands
PEC Zwolle · Eredivisie · Foot: right · Height: 180 cm
Risk: Very HighConfidence: LowSample: LowDevelopment: LowContract: until 30 Jun 2027
Market value
€550k
Updated 6 days ago
Estimated acquisition
€138k – €431k
Estimated · 20–80% range
Model value
€287k – €550k
Performance-implied · estimated
Projected (24m)
€295k – €625k
Resale range · estimated
Potential value gap
-€144k – €413k
Model value − acquisition

Value picture

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

Estimated acquisition€138k – €431k
Model value (performance-implied)€287k – €550k
Projected value (24 months)€295k – €625k
Dashed line: current market value (€550k). Bars are 20–80% model ranges; tick = median.

The model rates Odysseus Velanas's performance-implied value at EUR 0.3M-0.6M, above the estimated acquisition range of EUR 0.1M-0.4M. Its 24-month market value projection is EUR 0.3M-0.6M. Context-adjusted goal contributions are 1.06x the positional average in the league (629 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 average5.3th pct among MID peers (age-neutral)
AgeUnfavorable28.1 years
Acquisition costVery favorableest. €183k vs market €550k
Expected appreciationLow-20% 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: €750k

Profile vs positional peers

Percentiles among 1164 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
629 (21% of available)
Goals + assists / 90
0.43
Context-adjusted G+A / 90
0.43
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
5 (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
0.43 (rank 15)
Team strength (Elo)
1186
Opponent strength
1289
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)
€295k – €625k

Trajectory drivers: minutes share down 24 pts; team strength down (-79 Elo); relative output up 38% vs positional peers.

Historical comparables (8): median 2-year value change +0% (IQR -41% to +0%).

Risk profile

Overall: Very High

  • ▲Small sample: 629 league minutes last season.
  • ⚠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
53 (MID)
Relative output kept
76%–148%
Held a regular role (900+ min)
68%
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.
2025/26PEC ZwolleEredivisieAM1362921%210.430.43128911860.43
2024/25PEC ZwolleEredivisieAM29135644%120.200.30126712650.50
2023/24PEC ZwolleEredivisieAM31215270%550.420.48135811890.48
2020/21FC UtrechtEredivisieLW1110%000.000.37131914110.56
2017/18FC UtrechtEredivisieCM2341%000.000.17137414220.59

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2024/25Knvb BekerPEC Zwolle15000—
2023/24Knvb BekerPEC Zwolle18200—

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
Rocco Quinn
Scottish Premiership · 2015
29€375k€225kfell
Samúel Fridjónsson
Super League 1 · 2024
28€400k€400kflat
Mehdi Boudjemaa
Super Lig · 2024
26€550k€550kflat
Adrián Riera
Super League 1 · 2024
28€450k€250kfell
Ismael Diomande
Super Lig · 2021
29€550k€150kfell
Nico Fernández
Super League 1 · 2017
31€400k€400kflat
Janio Bikel
Super Lig · 2024
29€800k€800kflat
Liam Grimshaw
Scottish Premiership · 2022
27€325k€325kflat

Transfer history

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

DateFromToFeeMV at time
7 Jul 2023NAC BredaPEC ZwolleFree / loan€600k
22 Jul 2021UtrechtNAC BredaFree / loan€400k
1 Jul 2020Utrecht U21UtrechtUnknown€325k
1 Jul 2019UtrechtUtrecht U21Unknown€200k
30 Jun 2019Helmond SportUtrechtFree / loan€200k
29 Jan 2019UtrechtHelmond SportFree / loan€250k
1 Jul 2017Utrecht U21UtrechtUnknown€200k
1 Jul 2016Utrecht U19Utrecht U21Unknown€25k
1 Jul 2015Utrecht U17Utrecht U19UnknownData unavailable
1 Jul 2013Jonathan Yth.Utrecht 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.

Odysseus Velanas · MoneyballAI