Daniel James

28 yrs · Right winger (also ST) · Wales
Leeds United · Premier League · Foot: right · Height: 171 cm
Risk: ModerateConfidence: LowSample: LowDevelopment: LowContract: until 30 Jun 2029
Market value
€10.0M
Updated 6 days ago
Estimated acquisition
€4.5M – €11.7M
Estimated · 20–80% range
Model value
€4.2M – €14.3M
Performance-implied · estimated
Projected (24m)
€2.9M – €7.3M
Resale range · estimated
Potential value gap
-€7.5M – €9.8M
Model value − acquisition

Value picture

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

Estimated acquisition€4.5M – €11.7M
Model value (performance-implied)€4.2M – €14.3M
Projected value (24 months)€2.9M – €7.3M
Dashed line: current market value (€10.0M). Bars are 20–80% model ranges; tick = median.

The model rates Daniel James's performance-implied value at EUR 4.2M-14.3M, below the estimated acquisition range of EUR 4.5M-11.7M. Its 24-month market value projection is EUR 2.9M-7.3M. Context-adjusted goal contributions are 0.94x the positional average in the league (553 minutes, league coefficient 1.30). Confidence is low: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: not assigned

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

Insufficient sample (< 900 league minutes)

PerformanceAbove average67.3th pct among ATT peers (age-neutral)
AgeUnfavorable28.6 years
Acquisition costNeutralest. €9.1M vs market €10.0M
Expected appreciationVery low-51% over ~2 years (model)
Value gapVery negativeweak 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 confidenceLow

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: €28.0M

Profile vs positional peers

Percentiles among 901 evaluated ATT players with 900+ minutes.

Performance (last season, league)

Minutes
553 (16% of available)
Goals + assists / 90
0.00
Context-adjusted G+A / 90
0.37
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
67 (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)
1521
Opponent strength
1626
Possession, role
Data unavailable

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

Potential

Development
Low
Trajectory
insufficient
Breakout probability
Age > 23
Resale range (24m)
€2.9M – €7.3M

Historical comparables (8): median 2-year value change -63% (IQR -75% to -44%).

Risk profile

Overall: Moderate

  • ▲Small sample: 553 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.
2025/26Leeds UnitedPremier LeagueRW1955316%000.000.37162615211.30
2022/23Fulham FCPremier LeagueRW2060818%210.440.60155814951.23
2022/23Leeds UnitedPremier LeagueRW41996%000.000.43158214181.23
2021/22Leeds UnitedPremier LeagueST32237169%450.340.45155414771.17
2021/22Manchester UnitedPremier LeagueRW21284%000.000.24154416091.17
2020/21Manchester UnitedPremier LeagueRW1591227%310.390.30157817411.19
2019/20Manchester UnitedPremier LeagueRW33229167%360.350.33160617201.14

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Fa CupLeeds United17000—
2022/23Fa CupFulham FC310110—
2021/22Fa CupLeeds United19000—
2020/21Uefa Europa LeagueManchester United7438111582
2020/21Fa CupManchester United16900—
2020/21Uefa Champions LeagueManchester United233101460
2019/20Uefa Europa LeagueManchester United6296101571
2019/20Fa CupManchester United319000—
2017/18Fa CupSwansea City12810—

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
Arnaut Danjuma
Premier League · 2024
27€13.0M€3.0Mfell
Alireza Jahanbakhsh
Premier League · 2021
28€5.0M€4.0Mfell
Michy Batshuayi
Premier League · 2021
28€10.0M€10.0Mflat
Cenk Tosun
Premier League · 2020
29€12.0M€2.0Mfell
Wilfried Bony
Premier League · 2018
30€10.0M€4.5Mfell
Charlie Austin
Premier League · 2019
30€8.0M€2.0Mfell
Matej Vydra
Premier League · 2020
28€4.0M€2.0Mfell
Denis Cheryshev
Laliga · 2016
26€10.0M€3.0Mfell

Transfer history

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

DateFromToFeeMV at time
31 May 2023FulhamLeedsFree / loan€13.0M
1 Sept 2022LeedsFulhamFree / loan€18.0M
31 Aug 2021Man UtdLeeds€29.1M€18.0M
1 Jul 2019SwanseaMan Utd€17.8M€12.0M
1 Jul 2018Swansea U23SwanseaUnknownData unavailable
31 Aug 2017ShrewsburySwansea U23Free / loanData unavailable
1 Jul 2017Swansea U23ShrewsburyFree / loanData unavailable
1 Jul 2015Swansea U18Swansea U21UnknownData unavailable
1 Jul 2014Hull U18Swansea U18Free / loanData unavailable
1 Jul 2013Hull City Yth.Hull 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.

Daniel James · MoneyballAI