Morgan Gibbs-White

26 yrs · Attacking midfielder (also CM) · England
Nottingham Forest · Premier League · Foot: right · Height: 171 cm
Risk: LowConfidence: MediumSample: HighDevelopment: LowContract: until 30 Jun 2028
Market value
€70.0M
Updated 6 days ago
Estimated acquisition
€33.2M – €79.0M
Estimated · 20–80% range
Model value
€52.7M – €88.2M
Performance-implied · estimated
Projected (24m)
€37.7M – €81.5M
Resale range · estimated
Potential value gap
-€26.3M – €54.9M
Model value − acquisition

Value picture

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

Estimated acquisition€33.2M – €79.0M
Model value (performance-implied)€52.7M – €88.2M
Projected value (24 months)€37.7M – €81.5M
Dashed line: current market value (€70.0M). Bars are 20–80% model ranges; tick = median.

The model rates Morgan Gibbs-White's performance-implied value at EUR 52.7M-88.2M, above the estimated acquisition range of EUR 33.2M-79.0M. Its 24-month market value projection is EUR 37.7M-81.5M. Context-adjusted goal contributions are 1.45x the positional average in the league (3113 minutes, league coefficient 1.30). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: 17

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

PerformanceElite99.7th pct among MID peers (age-neutral)
AgeNeutral26.4 years
Acquisition costNeutralest. €65.1M vs market €70.0M
Expected appreciationVery low-31% over ~2 years (model)
Value gapSmallweak predictor on its own
DevelopmentLow
League translationBig-five leagueleague coefficient 1.3
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskLow
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: €70.0M

Profile vs positional peers

Percentiles among 1163 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
3113 (91% of available)
Goals + assists / 90
0.55
Context-adjusted G+A / 90
0.58
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
100 (Elite)

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
1.30 (rank 1)
Team strength (Elo)
1635
Opponent strength
1599
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)
€37.7M – €81.5M

Trajectory drivers: team strength up (+63 Elo).

Historical comparables (8): median 2-year value change -33% (IQR -44% to -14%).

Risk profile

Overall: Low

  • ⓘ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.
2025/26Nottingham ForestPremier LeagueAM37311391%1540.550.58159916351.30
2024/25Nottingham ForestPremier LeagueAM34282483%7100.540.50156915731.23
2023/24Nottingham ForestPremier LeagueAM37316292%5100.430.52158914281.14
2022/23Nottingham ForestPremier LeagueAM35297987%580.390.55156514331.23
2022/23Wolverhampton WanderersPremier LeagueCM21805%000.000.14141314971.23
2021/22Wolverhampton WanderersPremier LeagueAM270%000.000.52165915081.17
2020/21Wolverhampton WanderersPremier LeagueAM1141012%100.220.37154515161.19
2019/20Wolverhampton WanderersPremier LeagueAM71264%000.000.40154416131.14
2018/19Wolverhampton WanderersPremier LeagueAM2665019%010.140.29150115511.22

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Uefa Europa LeagueNottingham Forest14937331546
2025/26Fa CupNottingham Forest17400—
2024/25Fa CupNottingham Forest431800—
2023/24Fa CupNottingham Forest434510—
2020/21Fa CupWolverhampton Wanderers28400—
2019/20Uefa Europa LeagueWolverhampton Wanderers4252001462
2019/20Uefa Europa League QualifyingWolverhampton Wanderers3208101270
2019/20Fa CupWolverhampton Wanderers11900—
2018/19Fa CupWolverhampton Wanderers318900—

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
Douglas Luiz
Premier League · 2023
25€40.0M€30.0Mfell
Bruno Guimarães
Premier League · 2023
26€70.0M€80.0Mflat
Pierre-Emile Højbjerg
Premier League · 2023
28€45.0M€20.0Mfell
Bruno Fernandes
Premier League · 2021
27€90.0M€75.0Mflat
Martin Ødegaard
Premier League · 2023
25€90.0M€85.0Mflat
Granit Xhaka
Premier League · 2018
26€40.0M€24.0Mfell
Paul Pogba
Premier League · 2019
26€100M€60.0Mfell
Youri Tielemans
Premier League · 2021
24€55.0M€25.0Mfell

Transfer history

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

DateFromToFeeMV at time
19 Aug 2022WolvesNott'm Forest€29.5M€11.0M
31 May 2022Sheff UtdWolvesFree / loan€11.0M
31 Aug 2021WolvesSheff UtdFree / loan€7.0M
6 Jan 2021SwanseaWolvesFree / loan€6.0M
25 Aug 2020WolvesSwanseaFree / loan€7.2M
1 Jan 2017Wolves U18WolvesUnknownData unavailable
1 Jul 2016Wolves Yth.Wolves U18UnknownData 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.