Gerson

29 yrs · Central midfielder (also AM) · Brazil
Cruzeiro Esporte Clube · Campeonato Brasileiro Serie A · Foot: left · Height: 184 cm
Risk: Very HighConfidence: LowSample: LowDevelopment: LowContract: until 31 Dec 2030
Market value
€18.0M
Updated today
Estimated acquisition
€8.2M – €16.9M
Estimated · 20–80% range
Model value
€1.2M – €6.4M
Performance-implied · estimated
Projected (24m)
€4.4M – €12.0M
Resale range · estimated
Potential value gap
-€15.8M – -€1.8M
Model value − acquisition

Value picture

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

Estimated acquisition€8.2M – €16.9M
Model value (performance-implied)€1.2M – €6.4M
Projected value (24 months)€4.4M – €12.0M
Dashed line: current market value (€18.0M). Bars are 20–80% model ranges; tick = median.

The model rates Gerson's performance-implied value at EUR 1.2M-6.4M, below the estimated acquisition range of EUR 8.2M-16.9M. Its 24-month market value projection is EUR 4.4M-12.0M. Context-adjusted goal contributions are 0.55x the positional average in the league (688 minutes, league coefficient 0.56). Confidence is low: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: not assigned

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

Insufficient sample (< 900 league minutes)

PerformanceAverage53.2th pct among MID peers (age-neutral)
AgeUnfavorable29.1 years
Acquisition costFavorableest. €11.5M vs market €18.0M
Expected appreciationVery low-63% over ~2 years (model)
Value gapVery negativeweak predictor on its own
DevelopmentLow
League translationModerateleague coefficient 0.56
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: €25.0M

Profile vs positional peers

Percentiles among 1164 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
688 (26% of available)
Goals + assists / 90
0.13
Context-adjusted G+A / 90
0.12
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
53 (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
0.56 (rank 7)
Team strength (Elo)
1597
Opponent strength
1317
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)
€4.4M – €12.0M

Historical comparables (8): median 2-year value change -52% (IQR -70% to -18%).

Risk profile

Overall: Very High

  • ▲Small sample: 688 league minutes last season.
  • ⚠League level coefficient 0.56 (1.00 = big-five average): output may not translate.
  • ⚠No continental-competition minutes last season.
  • ⚠League level estimated mainly from squad values (few matches vs other leagues).
  • ⚠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
18 (MID)
Relative output kept
54%–153%
Held a regular role (900+ min)
56%
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.
2025/26AO FK Zenit Sankt-PeterburgPremier LigaCM1268825%100.130.12131715970.56
2022/23Olympique MarseilleLigue 1AM1042012%200.430.24136815680.82
2021/22Olympique MarseilleLigue 1CM35255375%970.560.41142015910.86
2018/19ACF FiorentinaSerie ACM36244071%330.220.21144813840.78
2017/18Associazione Sportiva RomaSerie ACM2489826%200.200.12139817120.86
2016/17Associazione Sportiva RomaSerie ACM41314%000.000.12144117110.88

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Russian CupAO FK Zenit Sankt-Peterburg323110—
2022/23Uefa Champions LeagueOlympique Marseille3122001624
2021/22Uefa Europa LeagueOlympique Marseille4280001412
2018/19Italy CupACF Fiorentina416801—
2017/18Uefa Champions LeagueAssociazione Sportiva Roma6219001708
2017/18Italy CupAssociazione Sportiva Roma16900—
2016/17Uefa Europa LeagueAssociazione Sportiva Roma6267011501
2016/17Uefa Champions League QualifyingAssociazione Sportiva Roma14001528

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
Tanguy Ndombélé
Super Lig · 2024
28€8.0M€2.5Mfell
Shoya Nakajima
Liga Portugal · 2020
26€16.0M€3.5Mfell
Dele Alli
Super Lig · 2023
27€8.0M€2.0Mfell
Tchê Tchê
Premier Liga · 2019
27€5.0M€4.0Mfell
Siem de Jong
Eredivisie · 2017
28€5.5M€2.0Mfell
Ilsinho
Premier Liga · 2014
29€4.0M€2.5Mfell
Wilmar Barrios
Premier Liga · 2019
26€17.0M€15.0Mflat
Diogo Gonçalves
Liga Portugal · 2023
26€4.0M€3.5Mflat

Transfer history

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

DateFromToFeeMV at time
10 Jan 2026Zenit S-PbCruzeiro€27.0M€18.0M
4 Jul 2025FlamengoZenit S-Pb€25.0M€25.0M
1 Jan 2023MarseilleFlamengo€15.0M€18.0M
1 Jul 2021FlamengoMarseille€20.5M€20.0M
12 Jul 2019RomaFlamengo€13.0M€13.0M
30 Jun 2019FiorentinaRomaFree / loan€13.0M
20 Jul 2018RomaFiorentinaFree / loan€10.0M
1 Jul 2016FluminenseRoma€18.5M€10.0M
1 Jan 2015Fluminense U17FluminenseUnknownData 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.