Marc Bernal

19 yrs · Defensive midfielder · Spain
FC Barcelona · Laliga · Foot: left · Height: 193 cm
Risk: HighConfidence: LowSample: LowDevelopment: Very HighContract: until 30 Jun 2029
Market value
€30.0M
Updated 6 days ago
Estimated acquisition
€23.2M – €48.8M
Estimated · 20–80% range
Model value
€8.1M – €31.1M
Performance-implied · estimated
Projected (24m)
€24.6M – €91.2M
Resale range · estimated
Potential value gap
-€40.7M – €7.9M
Model value − acquisition

Value picture

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

Estimated acquisition€23.2M – €48.8M
Model value (performance-implied)€8.1M – €31.1M
Projected value (24 months)€24.6M – €91.2M
Dashed line: current market value (€30.0M). Bars are 20–80% model ranges; tick = median.

The model rates Marc Bernal's performance-implied value at EUR 8.1M-31.1M, below the estimated acquisition range of EUR 23.2M-48.8M. Its 24-month market value projection is EUR 24.6M-91.2M. Context-adjusted goal contributions are 0.88x the positional average in the league (787 minutes, league coefficient 0.95). 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)

PerformanceHigh77.8th pct among MID peers (age-neutral)
AgeVery favorable19.1 years
Acquisition costUnfavorableest. €38.6M vs market €30.0M
Expected appreciationVery high+108% over ~2 years (model)
Value gapVery negativeweak predictor on its own
DevelopmentVery Highbreakout probability 63%
League translationBig-five leagueleague coefficient 0.95
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskHigh
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: €30.0M

Profile vs positional peers

Percentiles among 1164 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
787 (23% of available)
Goals + assists / 90
0.34
Context-adjusted G+A / 90
0.11
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
78 (High)

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
0.95 (rank 2)
Team strength (Elo)
1787
Opponent strength
1465
Possession, role
Data unavailable

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

Potential

Development
Very High
Trajectory
insufficient
Breakout probability
63%
Resale range (24m)
€24.6M – €91.2M

Historical comparables (8): median 2-year value change +19% (IQR -28% to +182%).

Risk profile

Overall: High

  • ▲Small sample: 787 league minutes last season.
  • ⚠Projection range wider than for most evaluated players.
  • ⚠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.
2025/26FC BarcelonaLaligaDM2278723%210.340.11146517870.95
2024/25FC BarcelonaLaligaDM32447%000.000.08148417920.95

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Copa Del ReyFC Barcelona425920—
2025/26Uefa Champions LeagueFC Barcelona6241101607
2025/26SupercopaFC Barcelona126001504

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
Jamal Musiala
Bundesliga · 2021
18€38.0M€110Mrose
Kristjan Asllani
Serie A · 2024
22€18.0M€12.0Mfell
Christopher Nkunku
Ligue 1 · 2018
21€10.0M€28.0Mrose
Curtis Jones
Premier League · 2021
20€30.0M€22.0Mfell
Phil Foden
Premier League · 2020
20€27.0M€90.0Mrose
Ilaix Moriba
Laliga · 2021
18€25.0M€4.0Mfell
Amadou Diawara
Serie A · 2018
21€18.0M€18.5Mflat
Joe Willock
Premier League · 2020
21€16.0M€22.0Mrose

Transfer history

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

DateFromToFeeMV at time
1 Jul 2024Barça AtlèticBarcelonaUnknown€1.0M
1 Jul 2023Barça U16Barça AtlèticUnknownData unavailable
1 Jul 2022Barça YouthBarça U16UnknownData unavailable
1 Jul 2014G.Manresa Yth.Barça YouthFree / loanData 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.