Mohamed Bayo

28 yrs · Striker · Guinea
Gaziantep FK · Super Lig · Foot: right · Height: 187 cm
Risk: ModerateConfidence: MediumSample: HighDevelopment: LowContract: until 30 Jun 2027
Market value
€4.5M
Updated 7 days ago
Estimated acquisition
€1.3M – €3.5M
Estimated · 20–80% range
Model value
€1.2M – €5.0M
Performance-implied · estimated
Projected (24m)
€1.7M – €4.6M
Resale range · estimated
Potential value gap
-€2.3M – €3.8M
Model value − acquisition

Value picture

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

Estimated acquisition€1.3M – €3.5M
Model value (performance-implied)€1.2M – €5.0M
Projected value (24 months)€1.7M – €4.6M
Dashed line: current market value (€4.5M). Bars are 20–80% model ranges; tick = median.

The model rates Mohamed Bayo's performance-implied value at EUR 1.2M-5.0M, above the estimated acquisition range of EUR 1.3M-3.5M. Its 24-month market value projection is EUR 1.7M-4.6M. Context-adjusted goal contributions are 1.39x the positional average in the league (2348 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: 80

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

PerformanceAverage47.5th pct among ATT peers (age-neutral)
AgeUnfavorable28.1 years
Acquisition costVery favorableest. €1.7M vs market €4.5M
Expected appreciationVery low-32% over ~2 years (model)
Value gapLargeweak predictor on its own
DevelopmentLow
League translationUncertainleague coefficient 0.4
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: €12.0M

Profile vs positional peers

Percentiles among 900 evaluated ATT players with 900+ minutes.

Performance (last season, league)

Minutes
2348 (77% of available)
Goals + assists / 90
0.69
Context-adjusted G+A / 90
0.71
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
48 (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)
1167
Opponent strength
1274
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)
€1.7M – €4.6M

Trajectory drivers: minutes share up 59 pts; changed club; team strength down (-359 Elo); league level down (-156 Elo); relative output up 73% vs positional peers.

Historical comparables (8): median 2-year value change -20% (IQR -50% to +35%).

Risk profile

Overall: Moderate

  • ⚠League level coefficient 0.40 (1.00 = big-five average): output may not translate.
  • ⚠No continental-competition minutes last season.
  • ⚠Contract ends in 12 months: cheaper, but competition and wage demands likely.
  • ⓘ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.
2025/26Gaziantep FKSuper LigST29234877%1530.690.71127411670.40
2024/25LOSC LilleLigue 1ST1230510%210.890.46146415940.88
2024/25Royal Antwerp FCJupiler Pro LeagueST62489%010.360.38135714420.63
2023/24Le Havre ACLigue 1ST22139546%510.390.51147713510.87
2022/23LOSC LilleLigue 1ST2763919%410.700.44139715550.82
2021/22Clermont Foot 63Ligue 1ST32242471%1450.710.77141313240.86

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2024/25Uefa Champions LeagueLOSC Lille3138001625
2024/25Uefa Champions League QualifyingLOSC Lille224011593

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
Joel Pohjanpalo
Super Lig · 2022
28€2.5M€3.5Mrose
Kaj Sierhuis
Eredivisie · 2024
26€1.8M€1.8Mflat
Olarenwaju Kayode
Super Lig · 2020
27€2.4M€3.2Mrose
Ali Sowe
Super Lig · 2023
29€3.0M€1.9Mfell
Yusuf Erdoğan
Super Lig · 2021
29€1.8M€475kfell
Pedro Henrique
Super Lig · 2020
30€1.2M€2.0Mrose
David Pollet
Jupiler Pro League · 2014
26€2.0M€1.0Mfell
Denis Drăguș
Super Lig · 2024
25€4.0M€2.0Mfell

Transfer history

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

DateFromToFeeMV at time
30 Jun 2026Gaziantep FKLilleFree / loan€4.5M
31 Aug 2025LilleGaziantep FKFree / loan€2.8M
30 Jun 2025Royal AntwerpLilleFree / loan€2.8M
3 Feb 2025LilleRoyal AntwerpFree / loan€4.0M
30 Jun 2024Le Havre ACLilleFree / loan€5.0M
1 Sept 2023LilleLe Havre ACFree / loan€6.0M
13 Jul 2022Clermont FootLille€14.0M€12.0M
30 Jun 2020USL DunkerqueClermont FootFree / loan€200k
22 Jan 2019Clermont FootUSL DunkerqueFree / loan€200k
10 Nov 2017Clermont BClermont FootUnknownData unavailable
1 Jul 2017Clermont U19Clermont BUnknownData 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.