Ola Aina

30 yrs · Right-back (also LB, LM, RM) · Nigeria
Nottingham Forest · Premier League · Foot: right · Height: 184 cm
Risk: ModerateConfidence: MediumSample: MediumDevelopment: LowContract: until 30 Jun 2028
Market value
€18.0M
Updated 6 days ago
Estimated acquisition
€7.1M – €17.5M
Estimated · 20–80% range
Model value
€12.8M – €22.3M
Performance-implied · estimated
Projected (24m)
€5.8M – €10.0M
Resale range · estimated
Potential value gap
-€4.7M – €15.2M
Model value − acquisition

Value picture

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

Estimated acquisition€7.1M – €17.5M
Model value (performance-implied)€12.8M – €22.3M
Projected value (24 months)€5.8M – €10.0M
Dashed line: current market value (€18.0M). Bars are 20–80% model ranges; tick = median.

The model rates Ola Aina's performance-implied value at EUR 12.8M-22.3M, above the estimated acquisition range of EUR 7.1M-17.5M. Its 24-month market value projection is EUR 5.8M-10.0M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: 7

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

PerformanceElite91.8th pct among DEF peers (age-neutral)
AgeUnfavorable29.7 years
Acquisition costFavorableest. €11.1M vs market €18.0M
Expected appreciationVery low-61% 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.
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: €22.0M

Profile vs positional peers

Percentiles among 1268 evaluated DEF players with 900+ minutes.

Performance (last season, league)

Minutes
1590 (47% of available)
Goals + assists / 90
0.00
Context-adjusted G+A / 90
0.06
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
92 (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
1592
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)
€5.8M – €10.0M

Trajectory drivers: minutes share down 41 pts; team strength up (+63 Elo); relative output down 47% vs positional peers.

Historical comparables (8): median 2-year value change -57% (IQR -67% to -48%).

Risk profile

Overall: Moderate

  • ⚠Limited sample: 1590 league minutes last season.
  • ⚠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).

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 LeagueRB18159046%000.000.06159216351.30
2024/25Nottingham ForestPremier LeagueRB35300288%210.090.11156715731.23
2023/24Nottingham ForestPremier LeagueLB22170150%110.110.18161614281.14
2022/23Torino FCSerie ARM1987025%110.210.25145214680.94
2021/22Torino FCSerie ALM21144342%000.000.14152514230.89
2020/21Fulham FCPremier LeagueRB31267078%210.100.18158313521.19
2019/20Torino FCSerie ALM32207561%020.090.14141613730.82
2018/19Torino FCSerie ALM30215863%130.170.21147115040.78
2016/17Chelsea FCPremier LeagueRB3241%000.000.08149517561.07

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Uefa Europa LeagueNottingham Forest8520011571
2024/25Fa CupNottingham Forest224000—
2022/23Italy CupTorino FC211800—
2021/22Italy CupTorino FC220100—
2020/21Fa CupFulham FC112000—
2019/20Italy CupTorino FC215801—
2019/20Uefa Europa League QualifyingTorino FC3115001546
2018/19Italy CupTorino FC210700—
2017/18Fa CupHull City218010—
2016/17Fa CupChelsea FC13300—

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
Chris Smalling
Premier League · 2019
30€20.0M€12.0Mfell
Aaron Cresswell
Premier League · 2019
30€10.0M€5.0Mfell
Willy Boly
Premier League · 2020
29€14.5M€6.0Mfell
Victor Lindelöf
Premier League · 2023
29€18.0M€8.0Mfell
Santiago Arias
Laliga · 2019
27€18.0M€6.0Mfell
Toby Alderweireld
Premier League · 2021
32€11.0M€3.5Mfell
Luke Shaw
Premier League · 2024
29€32.0M€8.0Mfell
Harry Maguire
Premier League · 2023
30€20.0M€13.0Mfell

Transfer history

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

DateFromToFeeMV at time
22 Jul 2023TorinoNott'm ForestFree / loan€3.5M
30 Jun 2021FulhamTorinoFree / loan€6.0M
11 Sept 2020TorinoFulhamFree / loan€7.0M
1 Jul 2019ChelseaTorino€9.8M€10.0M
30 Jun 2019TorinoChelseaFree / loan€10.0M
14 Aug 2018ChelseaTorinoFree / loan€4.0M
31 May 2018Hull CityChelseaFree / loan€1.5M
11 Jul 2017ChelseaHull CityFree / loan€1.0M
1 Jul 2016Chelsea U23ChelseaUnknownData unavailable
1 Jul 2014Chelsea U18Chelsea U21UnknownData unavailable
1 Jul 2013Chelsea YouthChelsea 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.