Marlon

31 yrs · Centre-back · Brazil
FC Shakhtar Donetsk · Premier Liga · Foot: right · Height: 182 cm
Risk: Very HighConfidence: LowSample: LowDevelopment: LowContract: until 30 Jun 2028
Market value
€2.5M
Updated 7 days ago
Estimated acquisition
€629k – €2.4M
Estimated · 20–80% range
Model value
€534k – €2.3M
Performance-implied · estimated
Projected (24m)
€589k – €1.8M
Resale range · estimated
Potential value gap
-€1.8M – €1.6M
Model value − acquisition

Value picture

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

Estimated acquisition€629k – €2.4M
Model value (performance-implied)€534k – €2.3M
Projected value (24 months)€589k – €1.8M
Dashed line: current market value (€2.5M). Bars are 20–80% model ranges; tick = median.

The model rates Marlon's performance-implied value at EUR 0.5M-2.3M, below the estimated acquisition range of EUR 0.6M-2.4M. Its 24-month market value projection is EUR 0.6M-1.8M. 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)

PerformanceAverage44th pct among DEF peers (age-neutral)
AgeUnfavorable30.8 years
Acquisition costVery favorableest. €1.4M vs market €2.5M
Expected appreciationVery low-55% over ~2 years (model)
Value gapNegativeweak predictor on its own
DevelopmentLow
League translationUncertainleague coefficient 0.25
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: €10.0M

Profile vs positional peers

Percentiles among 1269 evaluated DEF players with 900+ minutes.

Performance (last season, league)

Minutes
835 (31% of available)
Goals + assists / 90
0.22
Context-adjusted G+A / 90
0.08
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
0.25 (rank 30)
Team strength (Elo)
1420
Opponent strength
1148
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)
€589k – €1.8M

Historical comparables (8): median 2-year value change -37% (IQR -56% to -22%).

Risk profile

Overall: Very High

  • ▲Small sample: 835 league minutes last season.
  • ▲League level coefficient 0.25 (1.00 = big-five average): output may not translate.
  • ⚠Age 31: resale value typically declines.
  • ⚠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
11 (DEF)
Relative output kept
108%–176%
Held a regular role (900+ min)
82%
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.
2025/26FC Shakhtar DonetskPremier LigaCB1283531%020.220.08114814200.25
2022/23AC MonzaSerie ACB28158746%000.000.03148514530.94
2021/22FC Shakhtar DonetskPremier LigaCB1291356%000.000.02128215680.45
2020/21US SassuoloSerie ACB24173851%000.000.02148115020.90
2019/20US SassuoloSerie ACB23181853%000.000.03145914280.82
2018/19US SassuoloSerie ACB18151044%100.060.08145113510.78
2017/18OGC NiceLigue 1CB23192956%000.000.02146614890.85
2016/17FC BarcelonaLaligaCB21805%000.000.03149018611.11

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Uefa Conference League QualifyingFC Shakhtar Donetsk120001318
2025/26Ukrainian CupFC Shakhtar Donetsk1400—
2022/23Italy CupAC Monza216300—
2021/22Uefa Champions LeagueFC Shakhtar Donetsk5450001699
2021/22Uefa Champions League QualifyingFC Shakhtar Donetsk4390001468
2020/21Italy CupUS Sassuolo19000—
2017/18Uefa Europa LeagueOGC Nice3140001584
2016/17Uefa Champions LeagueFC Barcelona118001555

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
Djibril Sidibé
Super League 1 · 2023
31€2.5M€1.0Mfell
Martin Linnes
Super Lig · 2021
30€2.0M€900kfell
Tomasz Kędziora
Premier Liga · 2023
29€3.0M€2.5Mflat
Rodinei
Super League 1 · 2023
31€1.3M€1.0Mfell
Oleksandr Karavaev
Premier Liga · 2024
32€1.8M€1.0Mfell
Milad Mohammadi
Super League 1 · 2023
30€1.8M€1.3Mfell
Peter Ankersen
Superliga · 2021
31€1.5M€400kfell
Marcel Tisserand
Super Lig · 2021
28€3.4M€2.8Mflat

Transfer history

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

DateFromToFeeMV at time
11 Jul 2025LAFCShakhtar D.Free / loan€3.0M
11 Sept 2024Shakhtar D.LAFCFree / loan€5.0M
30 Jun 2024FluminenseShakhtar D.Free / loan€5.0M
12 Jul 2023Shakhtar D.FluminenseFree / loan€6.0M
30 Jun 2023MonzaShakhtar D.Free / loan€6.0M
5 Aug 2022Shakhtar D.MonzaFree / loan€10.0M
1 Jul 2021SassuoloShakhtar D.€12.0M€6.5M
16 Aug 2018BarcelonaSassuolo€12.0M€10.0M
30 Jun 2018NiceBarcelonaFree / loan€6.0M
29 Aug 2017BarcelonaNiceFree / loan€5.0M
1 Jul 2017FluminenseBarcelona€5.0M€5.0M
30 Jun 2017Barcelona BFluminenseFree / loan€5.0M
8 Jul 2016FluminenseBarcelona BFree / loan€5.0M
1 Jan 2014Fluminense U20FluminenseUnknownData 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.

Marlon · MoneyballAI