David Datro Fofana

23 yrs · Striker · Cote d'Ivoire
RC Strasbourg Alsace · Ligue 1 · Foot: right · Height: 182 cm
Risk: HighConfidence: MediumSample: MediumDevelopment: LowContract: until 30 Jun 2029
Market value
€4.0M
Updated 7 days ago
Estimated acquisition
€1.7M – €5.0M
Estimated · 20–80% range
Model value
€926k – €1.2M
Performance-implied · estimated
Projected (24m)
€1.6M – €6.1M
Resale range · estimated
Potential value gap
-€4.0M – -€461k
Model value − acquisition

Value picture

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

Estimated acquisition€1.7M – €5.0M
Model value (performance-implied)€926k – €1.2M
Projected value (24 months)€1.6M – €6.1M
Dashed line: current market value (€4.0M). Bars are 20–80% model ranges; tick = median.

The model rates David Datro Fofana's performance-implied value at EUR 0.9M-1.2M, below the estimated acquisition range of EUR 1.7M-5.0M. Its 24-month market value projection is EUR 1.6M-6.1M. Context-adjusted goal contributions are 1.13x the positional average in the league (1153 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.

Bargain Index: 50

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

PerformanceBelow average27.7th pct among ATT peers (age-neutral)
AgeFavorable23.5 years
Acquisition costNeutralest. €3.5M vs market €4.0M
Expected appreciationLow-13% 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: €12.0M

Profile vs positional peers

Percentiles among 900 evaluated ATT players with 900+ minutes.

Performance (last season, league)

Minutes
1153 (38% of available)
Goals + assists / 90
0.47
Context-adjusted G+A / 90
0.62
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
28 (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 5)
Team strength (Elo)
1218
Opponent strength
1256
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)
€1.6M – €6.1M

Historical comparables (8): median 2-year value change -5% (IQR -28% to +0%).

Risk profile

Overall: High

  • ⚠Limited sample: 1153 league minutes last season.
  • ⚠League level coefficient 0.40 (1.00 = big-five average): output may not translate.
  • ⚠No continental-competition minutes last season.
  • ⚠Projection range wider than for most evaluated players.
  • ⚠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 (ATT)
Relative output kept
79%–133%
Held a regular role (900+ min)
58%
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.
2025/26Fatih KaragümrükSuper LigST1398332%600.550.62125611690.40
2025/26RC Strasbourg AlsaceLigue 1ST51706%000.000.30139015020.88
2024/25GöztepeSuper LigST92829%200.640.66128412010.39
2023/24Burnley FCPremier LeagueST1587926%410.510.76160813661.14
2023/241.FC Union BerlinBundesligaST1268822%100.130.33151214311.01
2022/23Chelsea FCPremier LeagueST3682%000.000.32143015791.23

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2023/24Uefa Champions League1.FC Union Berlin4198101689
2023/24Dfb Pokal1.FC Union Berlin19001—
2022/23Uefa Conference League QualifyingMolde Fotballklubb6531211446
2022/23Fa CupChelsea FC14500—

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
Erencan Yardımcı
Super Lig · 2024
22€2.0M€2.0Mflat
Patrik Wålemark
Eredivisie · 2024
23€2.5M€2.5Mflat
Bertuğ Yıldırım
Super Lig · 2023
21€2.7M€2.0Mfell
Yusuf Sarı
Super Lig · 2022
24€1.5M€5.5Mrose
Obbi Oulare
Eredivisie · 2017
21€2.0M€1.8Mflat
Julen Lobete
Eredivisie · 2023
23€1.5M€1.5Mflat
Güven Yalçın
Super Lig · 2022
23€3.0M€1.7Mfell
Ebrima Colley
Super Lig · 2023
23€3.0M€2.0Mfell

Transfer history

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

DateFromToFeeMV at time
30 Jun 2026R. StrasbourgChelseaFree / loan€4.0M
2 Feb 2026ChelseaR. StrasbourgFree / loan€5.0M
21 Jan 2026KaragümrükChelseaFree / loan€5.0M
12 Sept 2025ChelseaKaragümrükFree / loan€6.0M
28 Jan 2025GöztepeChelseaFree / loan€8.5M
13 Sept 2024ChelseaGöztepeFree / loan€12.0M
31 May 2024BurnleyChelseaFree / loan€12.0M
13 Jan 2024ChelseaBurnleyFree / loan€8.0M
11 Jan 2024Union BerlinChelseaFree / loan€8.0M
11 Jul 2023ChelseaUnion BerlinFree / loan€10.0M
1 Jan 2023Molde FKChelsea€12.0M€7.0M
2 Feb 2021Abidjan City FCMolde FKUnknownData unavailable
30 Jun 2020AFAD DjékanouAbidjan City FCFree / loanData unavailable
1 Jul 2019Abidjan City FCAFAD DjékanouFree / 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.