Rodrigo Becão

30 yrs · Centre-back · Brazil
Kasimpasa · Super Lig · Foot: right · Height: 191 cm
Risk: HighConfidence: MediumSample: MediumDevelopment: LowContract: until 30 Jun 2028
Market value
€2.0M
Updated 7 days ago
Estimated acquisition
€522k – €2.0M
Estimated · 20–80% range
Model value
€412k – €1.2M
Performance-implied · estimated
Projected (24m)
€530k – €1.6M
Resale range · estimated
Potential value gap
-€1.6M – €642k
Model value − acquisition

Value picture

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

Estimated acquisition€522k – €2.0M
Model value (performance-implied)€412k – €1.2M
Projected value (24 months)€530k – €1.6M
Dashed line: current market value (€2.0M). Bars are 20–80% model ranges; tick = median.

The model rates Rodrigo Becão's performance-implied value at EUR 0.4M-1.2M, below the estimated acquisition range of EUR 0.5M-2.0M. Its 24-month market value projection is EUR 0.5M-1.6M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: 38

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

PerformanceBelow average33.9th pct among DEF peers (age-neutral)
AgeUnfavorable30.4 years
Acquisition costVery favorableest. €1.1M vs market €2.0M
Expected appreciationVery low-51% over ~2 years (model)
Value gapVery negativeweak predictor on its own
DevelopmentLow
League translationUncertainleague coefficient 0.4
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskHigh
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: €11.0M

Profile vs positional peers

Percentiles among 1268 evaluated DEF players with 900+ minutes.

Performance (last season, league)

Minutes
1121 (37% of available)
Goals + assists / 90
0.08
Context-adjusted G+A / 90
0.09
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
34 (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
0.40 (rank 18)
Team strength (Elo)
1204
Opponent strength
1260
Possession, role
Data unavailable

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

Potential

Development
Low
Trajectory
improving
Breakout probability
Age > 23
Resale range (24m)
€530k – €1.6M

Trajectory drivers: minutes share up 18 pts; changed club; team strength down (-298 Elo); relative output up 68% vs positional peers.

Historical comparables (8): median 2-year value change -61% (IQR -69% to -44%).

Risk profile

Overall: High

  • ⚠Limited sample: 1121 league minutes last season.
  • ⚠League level coefficient 0.40 (1.00 = big-five average): output may not translate.
  • ⚠No continental-competition minutes last season.
  • ⚠Age 30: 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
50 (DEF)
Relative output kept
68%–191%
Held a regular role (900+ min)
54%
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.
2025/26KasimpasaSuper LigCB13111536%010.080.09126012030.40
2025/26FenerbahceSuper LigCB160%000.000.04122614770.40
2024/25FenerbahceSuper LigCB1159918%100.150.05124215030.39
2023/24FenerbahceSuper LigCB16112333%000.000.02123115830.45
2022/23Udinese CalcioSerie ACB28248773%210.110.11146714210.94
2021/22Udinese CalcioSerie ACB35313292%210.090.10147814360.89
2020/21Udinese CalcioSerie ACB35278581%100.030.04145913870.90
2019/20Udinese CalcioSerie ACB29221265%110.080.09143813880.82
2018/19PFK CSKA MoskvaPremier LigaCB28240289%000.000.02140515470.69

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2024/25Uefa Europa LeagueFenerbahce4287011481
2023/24Uefa Conference League QualifyingFenerbahce2180101457
2021/22Italy CupUdinese Calcio112000—
2020/21Italy CupUdinese Calcio11500—
2019/20Italy CupUdinese Calcio12400—
2018/19Uefa Champions LeaguePFK CSKA Moskva6540001667
2018/19Russian CupPFK CSKA Moskva112000—
2018/19Russian Super CupPFK CSKA Moskva1120001516

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 Deli
Super Lig · 2022
31€1.8M€200kfell
Teenage Hadebe
Super Lig · 2024
29€2.0M€900kfell
Vegar Hedenstad
Super Lig · 2021
30€800k€450kfell
Lucas Taylor
Premier Liga · 2024
29€600k€200kfell
Melli
Super League 1 · 2015
31€600k€200kfell
Koray Altinay
Super Lig · 2021
30€850k€225kfell
Tayfur Bingöl
Super Lig · 2021
28€850k€1.7Mrose
Volodymyr Polyovyi
Premier Liga · 2015
30€700k€400kfell

Transfer history

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

DateFromToFeeMV at time
30 Jun 2026KasimpasaFenerbahçeFree / loan€2.0M
15 Jan 2026FenerbahçeKasimpasaFree / loan€3.0M
20 Jul 2023UdineseFenerbahçe€8.3M€10.0M
6 Jul 2019EC BahiaUdinese€2.9M€7.0M
30 Jun 2019CSKA MoscowEC BahiaFree / loan€7.0M
1 Jul 2018EC BahiaCSKA MoscowFree / loan€400k
1 Jan 2017Bahia U20EC BahiaUnknown€50k

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.

Rodrigo Becão · MoneyballAI