Wesley Saïd

31 yrs · Second striker (also RW, ST) · France
RC Lens · Ligue 1 · Foot: right · Height: 171 cm
Risk: ModerateConfidence: MediumSample: HighDevelopment: LowContract: Data unavailable
Market value
€5.0M
Updated 6 days ago
Estimated acquisition
€1.9M – €6.1M
Estimated · 20–80% range
Model value
€4.2M – €8.8M
Performance-implied · estimated
Projected (24m)
€1.4M – €3.2M
Resale range · estimated
Potential value gap
-€1.8M – €6.9M
Model value − acquisition

Value picture

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

Estimated acquisition€1.9M – €6.1M
Model value (performance-implied)€4.2M – €8.8M
Projected value (24 months)€1.4M – €3.2M
Dashed line: current market value (€5.0M). Bars are 20–80% model ranges; tick = median.

The model rates Wesley Saïd's performance-implied value at EUR 4.2M-8.8M, above the estimated acquisition range of EUR 1.9M-6.1M. Its 24-month market value projection is EUR 1.4M-3.2M. Context-adjusted goal contributions are 1.00x the positional average in the league (2013 minutes, league coefficient 0.88). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Acquisition note: Contract end date unavailable: range widened by 15% each side.

Bargain Index: 2

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

PerformanceHigh77.9th pct among ATT peers (age-neutral)
AgeUnfavorable31.2 years
Acquisition costFavorableest. €3.8M vs market €5.0M
Expected appreciationVery low-60% over ~2 years (model)
Value gapLargeweak predictor on its own
DevelopmentLow
League translationBig-five leagueleague coefficient 0.88
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskModerate
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: €8.0M

Profile vs positional peers

Percentiles among 900 evaluated ATT players with 900+ minutes.

Performance (last season, league)

Minutes
2013 (66% of available)
Goals + assists / 90
0.63
Context-adjusted G+A / 90
0.54
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
78 (High)

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
0.88 (rank 5)
Team strength (Elo)
1569
Opponent strength
1461
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)
€1.4M – €3.2M

Trajectory drivers: minutes share up 36 pts; team strength up (+85 Elo); role change ST -> SS; relative output up 54% vs positional peers.

Historical comparables (8): median 2-year value change -66% (IQR -75% to -54%).

Risk profile

Overall: Moderate

  • ⚠No continental-competition minutes last season.
  • ⚠Age 31: resale value typically declines.
  • ⓘContract end date unavailable (or stale in source).
  • ⓘ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).

Already playing in a big-five league.

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.
2025/26RC LensLigue 1SS29201366%1220.630.54146115690.88
2024/25RC LensLigue 1ST2490530%300.300.34141914840.88
2023/24RC LensLigue 1ST27101533%720.800.53146215180.87
2022/23RC LensLigue 1ST2163519%500.710.45141316260.82
2021/22RC LensLigue 1ST2164719%510.830.66141714920.86
2019/20FC ToulouseLigue 1ST23116146%210.230.50143212100.82
2018/19Dijon FCOLigue 1ST34226166%410.200.39146213220.82
2017/18Dijon FCOLigue 1ST29184154%940.640.72146613990.85
2016/17Stade Rennais FCLigue 1ST25102330%400.350.42138214380.88
2015/16Stade Rennais FCLigue 1RW190%000.000.50143413960.78
2013/14Stade Rennais FCLigue 1ST61605%000.000.56146714040.79

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2024/25Uefa Conference League QualifyingRC Lens2135101442
2023/24Uefa Champions LeagueRC Lens352001725
2023/24Uefa Europa LeagueRC Lens235001511

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
Gerard Moreno
Laliga · 2024
32€10.0M€2.5Mfell
Matteo Politano
Serie A · 2024
31€13.0M€5.0Mfell
Kevin Kuranyi
Premier Liga · 2015
33€2.5M€1.3Mfell
Luiz Adriano
Premier Liga · 2018
31€6.4M€3.5Mfell
Demba Ba
Super Lig · 2015
30€10.0M€4.5Mfell
Óscar Cardozo
Super Lig · 2015
32€6.5M€1.0Mfell
Willian José
Laliga · 2024
33€5.0M€1.2Mfell
Andrea Belotti
Serie A · 2024
31€5.0M€1.5Mfell

Transfer history

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

DateFromToFeeMV at time
1 Jul 2026LensWithout ClubUnknown€5.0M
1 Jul 2021ToulouseLensFree / loan€1.5M
3 Aug 2019DijonToulouse€8.0M€6.0M
7 Jul 2017Stade RennaisDijon€1.5M€1.5M
30 Jun 2016DijonStade RennaisFree / loan€1.0M
31 Aug 2015Stade RennaisDijonFree / loan€1.0M
30 Jun 2015Stade LavalloisStade RennaisFree / loan€1.0M
1 Sept 2014Stade RennaisStade LavalloisFree / loan€500k
1 Jul 2013Rennes BStade RennaisUnknownData unavailable
1 Jul 2012Rennes U17Rennes BUnknownData unavailable
1 Jul 2010Rennes JugendRennes U17UnknownData 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.