Adam Armstrong

29 yrs · Striker · England
Wolverhampton Wanderers · Premier League · Foot: right · Height: 173 cm
Risk: ModerateConfidence: MediumSample: MediumDevelopment: LowContract: until 30 Jun 2029
Market value
€6.0M
Updated 7 days ago
Estimated acquisition
€2.6M – €9.1M
Estimated · 20–80% range
Model value
€4.0M – €7.9M
Performance-implied · estimated
Projected (24m)
€1.7M – €4.5M
Resale range · estimated
Potential value gap
-€5.1M – €5.3M
Model value − acquisition

Value picture

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

Estimated acquisition€2.6M – €9.1M
Model value (performance-implied)€4.0M – €7.9M
Projected value (24 months)€1.7M – €4.5M
Dashed line: current market value (€6.0M). Bars are 20–80% model ranges; tick = median.

The model rates Adam Armstrong's performance-implied value at EUR 4.0M-7.9M, below the estimated acquisition range of EUR 2.6M-9.1M. Its 24-month market value projection is EUR 1.7M-4.5M. Context-adjusted goal contributions are 1.09x the positional average in the league (1147 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: 1

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

PerformanceAbove average71.3th pct among ATT peers (age-neutral)
AgeUnfavorable29.4 years
Acquisition costNeutralest. €5.3M vs market €6.0M
Expected appreciationVery low-56% over ~2 years (model)
Value gapNegativeweak 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: €18.0M

Profile vs positional peers

Percentiles among 900 evaluated ATT players with 900+ minutes.

Performance (last season, league)

Minutes
1147 (34% of available)
Goals + assists / 90
0.31
Context-adjusted G+A / 90
0.55
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
71 (Above 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
1.30 (rank 1)
Team strength (Elo)
1425
Opponent strength
1602
Possession, role
Data unavailable

League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.

Potential

Development
Low
Trajectory
stable
Breakout probability
Age > 23
Resale range (24m)
€1.7M – €4.5M

Trajectory drivers: changed club; team strength up (+148 Elo).

Historical comparables (8): median 2-year value change -72% (IQR -78% to -60%).

Risk profile

Overall: Moderate

  • ⚠Limited sample: 1147 league minutes last season.
  • ⚠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).

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.
2025/26Wolverhampton WanderersPremier LeagueST14114734%220.310.55160214251.30
2024/25Southampton FCPremier LeagueST20125437%220.290.60158712771.23
2022/23Southampton FCPremier LeagueST30133439%210.200.48159913751.23
2021/22Southampton FCPremier LeagueST23141541%230.320.54159514361.17
2014/15Newcastle UnitedPremier LeagueST112026%010.450.61156914041.06
2013/14Newcastle UnitedPremier LeagueST4311%000.000.54147214631.12

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Fa CupWolverhampton Wanderers211900—
2025/26Fa CupSouthampton FC1300—
2024/25Fa CupSouthampton FC12300—
2022/23Fa CupSouthampton FC315710—
2021/22Fa CupSouthampton FC425400—
2014/15Fa CupNewcastle United19000—

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
Kieffer Moore
Premier League · 2023
31€4.0M€1.0Mfell
Junior Stanislas
Premier League · 2019
30€4.5M€1.8Mfell
Charlie Austin
Premier League · 2019
30€8.0M€2.0Mfell
Sergi Guardiola
Laliga · 2019
28€5.0M€3.0Mfell
Christian Atsu
Premier League · 2020
28€4.8M€700kfell
Andy Carroll
Premier League · 2018
29€10.0M€3.2Mfell
Giuseppe Rossi
Laliga · 2016
29€7.5M€1.0Mfell
Darren Bent
Premier League · 2014
30€5.0M€2.0Mfell

Transfer history

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

DateFromToFeeMV at time
2 Feb 2026SouthamptonWolves€8.1M€9.0M
31 May 2025West BromSouthamptonFree / loan€12.0M
3 Feb 2025SouthamptonWest BromFree / loan€16.0M
10 Aug 2021BlackburnSouthampton€17.7M€18.0M
6 Aug 2018NewcastleBlackburn€1.9M€1.5M
31 May 2018BlackburnNewcastleFree / loan€1.5M
9 Jan 2018NewcastleBlackburnFree / loan€1.5M
1 Jan 2018BoltonNewcastleFree / loan€1.5M
17 Jul 2017NewcastleBoltonFree / loan€1.5M
31 May 2017BarnsleyNewcastleFree / loan€1.5M
30 Aug 2016NewcastleBarnsleyFree / loan€1.0M
31 May 2016CoventryNewcastleFree / loan€1.0M
28 Jul 2015NewcastleCoventryFree / loan€750k
1 Jan 2014Newcastle U18NewcastleUnknownData unavailable
1 Jul 2013Newcastle Yth.Newcastle 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.

Adam Armstrong · MoneyballAI