Miguel Crespo

30 yrs · Central midfielder (also DM) · Portugal
Basaksehir FK · Super Lig · Foot: right · Height: 186 cm
Risk: HighConfidence: MediumSample: MediumDevelopment: LowContract: until 30 Jun 2027
Market value
€2.0M
Updated 6 days ago
Estimated acquisition
€473k – €1.5M
Estimated · 20–80% range
Model value
€756k – €1.8M
Performance-implied · estimated
Projected (24m)
€628k – €1.7M
Resale range · estimated
Potential value gap
-€753k – €1.3M
Model value − acquisition

Value picture

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

Estimated acquisition€473k – €1.5M
Model value (performance-implied)€756k – €1.8M
Projected value (24 months)€628k – €1.7M
Dashed line: current market value (€2.0M). Bars are 20–80% model ranges; tick = median.

The model rates Miguel Crespo's performance-implied value at EUR 0.8M-1.8M, above the estimated acquisition range of EUR 0.5M-1.5M. Its 24-month market value projection is EUR 0.6M-1.7M. Context-adjusted goal contributions are 1.29x the positional average in the league (1104 minutes, league coefficient 0.40). Confidence is medium: 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: 67

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

PerformanceBelow average34.1th pct among MID peers (age-neutral)
AgeUnfavorable29.8 years
Acquisition costVery favorableest. €631k vs market €2.0M
Expected appreciationVery low-42% over ~2 years (model)
Value gapSmallweak 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: €10.0M

Profile vs positional peers

Percentiles among 1163 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
1104 (36% of available)
Goals + assists / 90
0.41
Context-adjusted G+A / 90
0.28
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)
1357
Opponent strength
1259
Possession, role
Data unavailable

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

Potential

Development
Low
Trajectory
declining
Breakout probability
Age > 23
Resale range (24m)
€628k – €1.7M

Trajectory drivers: minutes share down 31 pts; team strength up (+71 Elo).

Historical comparables (8): median 2-year value change -51% (IQR -60% to -44%).

Risk profile

Overall: High

  • ⚠Limited sample: 1104 league minutes last season.
  • ⚠League level coefficient 0.40 (1.00 = big-five average): output may not translate.
  • ⚠Contract ends in 12 months: cheaper, but competition and wage demands likely.
  • ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
  • ⚠Declining trajectory versus previous season.
  • ⓘ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
35 (MID)
Relative output kept
77%–144%
Held a regular role (900+ min)
69%
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.
2025/26Basaksehir FKSuper LigCM19110436%050.410.28125913570.40
2024/25Basaksehir FKSuper LigCM29216267%260.330.24128412860.39
2023/24FenerbahceSuper LigDM1056416%010.160.09135215830.45
2023/24Rayo VallecanoLaligaCM1552315%000.000.20150814011.00
2022/23FenerbahceSuper LigCM23116336%320.390.18128415160.50
2021/22FenerbahceSuper LigCM23167449%120.160.16124914220.42
2021/22GD Estoril PraiaLiga PortugalCM32649%100.340.26131412940.67

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Uefa Conference League QualifyingBasaksehir FK6475111343
2023/24Uefa Conference League QualifyingFenerbahce3147001322
2022/23Uefa Europa LeagueFenerbahce6434011514
2022/23Uefa Europa League QualifyingFenerbahce4232001350
2022/23Uefa Champions League QualifyingFenerbahce157001529

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
Kristoffer Olsson
Superliga · 2023
28€2.5M€2.5Mflat
Peter Zulj
Super Lig · 2021
28€2.5M€1.0Mfell
Petros Mantalos
Super League 1 · 2023
32€2.5M€1.2Mfell
Younès Belhanda
Super Lig · 2021
31€4.0M€2.0Mfell
Josip Radosevic
Superliga · 2024
30€1.5M€800kfell
André Simões
Super League 1 · 2021
32€1.5M€200kfell
Danijel Aleksic
Super Lig · 2022
31€2.2M€850kfell
Deniz Türüç
Super Lig · 2022
29€2.7M€1.7Mfell

Transfer history

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

DateFromToFeeMV at time
22 Aug 2024FenerbahçeBasaksehirFree / loan€4.0M
30 Jun 2024Rayo VallecanoFenerbahçeFree / loan€4.0M
31 Jan 2024FenerbahçeRayo VallecanoFree / loan€6.0M
6 Sept 2021EstorilFenerbahçe€1.5M€600k
1 Jul 2019Braga BEstorilFree / loan€300k
1 Jul 2017MerelinenseBraga BFree / loanData unavailable
1 Jul 2016Neves FCMerelinenseFree / loanData unavailable
1 Jan 2014Feirense U19Neves FCUnknownData unavailable
1 Jul 2012Barroselas U19Feirense U19UnknownData 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.

Miguel Crespo · MoneyballAI