
Bradley Barcola
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Bradley Barcola's performance-implied value at EUR 44.8M-82.1M, below the estimated acquisition range of EUR 50.7M-92.9M. Its 24-month market value projection is EUR 39.1M-89.8M. Context-adjusted goal contributions are 0.67x the positional average in the league (1750 minutes, league coefficient 0.88). 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.
| Performance | Elite | 97.8th pct among ATT peers (age-neutral) |
| Age | Favorable | 23.8 years |
| Acquisition cost | Neutral | est. €73.1M vs market €70.0M |
| Expected appreciation | Low | -23% over ~2 years (model) |
| Value gap | Negative | weak predictor on its own |
| Development | Moderate | |
| League translation | Big-five league | league coefficient 0.88 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | Moderate | |
| Data confidence | Medium |
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.
Profile vs positional peers
Percentiles among 900 evaluated ATT players with 900+ minutes.
Performance (last season, league)
- Minutes
- 1750 (57% of available)
- Goals + assists / 90
- 0.67
- Context-adjusted G+A / 90
- 0.28
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 98 (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
- 0.88 (rank 5)
- Team strength (Elo)
- 1818
- Opponent strength
- 1442
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Moderate
- Trajectory
- declining
- Breakout probability
- Age > 23
- Resale range (24m)
- €39.1M – €89.8M
Trajectory drivers: relative output down 32% vs positional peers.
Historical comparables (8): median 2-year value change -9% (IQR -37% to +23%).
Risk profile
Overall: Moderate
- ⚠Limited sample: 1750 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.
| Season | Club | League | Pos | Apps | Min | Min share | G | A | G+A/90 | Adj. G+A/90 | Opp. Elo | Team Elo | League str. |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025/26 | Paris Saint-Germain | Ligue 1 | LW | 29 | 1750 | 57% | 11 | 2 | 0.67 | 0.27 | 1442 | 1817 | 0.88 |
| 2024/25 | Paris Saint-Germain | Ligue 1 | LW | 34 | 2193 | 72% | 14 | 11 | 1.03 | 0.42 | 1449 | 1812 | 0.88 |
| 2023/24 | Paris Saint-Germain | Ligue 1 | LW | 25 | 1377 | 45% | 4 | 7 | 0.72 | 0.37 | 1473 | 1700 | 0.87 |
| 2023/24 | Olympique Lyon | Ligue 1 | RW | 3 | 270 | 9% | 0 | 0 | 0.00 | 0.32 | 1466 | 1521 | 0.87 |
| 2022/23 | Olympique Lyon | Ligue 1 | RW | 26 | 1437 | 42% | 5 | 9 | 0.88 | 0.54 | 1448 | 1549 | 0.82 |
| 2021/22 | Olympique Lyon | Ligue 1 | RW | 11 | 256 | 7% | 0 | 1 | 0.35 | 0.29 | 1425 | 1587 | 0.86 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Champions League | Paris Saint-Germain | 15 | 953 | 2 | 4 | 1670 |
| 2025/26 | World Cup | France | 3 | 118 | 1 | 1 | — |
| 2025/26 | Uefa Super Cup | Paris Saint-Germain | 1 | 67 | 0 | 0 | 1564 |
| 2025/26 | Trophee Des Champions | Paris Saint-Germain | 1 | 18 | 0 | 1 | 1580 |
| 2024/25 | Uefa Champions League | Paris Saint-Germain | 17 | 1096 | 3 | 4 | 1687 |
| 2024/25 | Trophee Des Champions | Paris Saint-Germain | 1 | 23 | 0 | 0 | 1584 |
| 2023/24 | Uefa Champions League | Paris Saint-Germain | 10 | 475 | 1 | 1 | 1694 |
| 2023/24 | Trophee Des Champions | Paris Saint-Germain | 1 | 66 | 0 | 1 | 1397 |
| 2021/22 | Uefa Europa League | Olympique Lyon | 2 | 27 | 0 | 1 | 1582 |
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) | Age | Value then | ~2y later | Outcome |
|---|---|---|---|---|
| Paulo Dybala Serie A · 2017 | 24 | €65.0M | €85.0M | rose |
| Lucas Moura Ligue 1 · 2017 | 25 | €38.0M | €40.0M | flat |
| Gonçalo Ramos Ligue 1 · 2024 | 23 | €50.0M | €30.0M | fell |
| Serge Gnabry Bundesliga · 2021 | 26 | €70.0M | €55.0M | fell |
| Lautaro Martínez Serie A · 2022 | 25 | €75.0M | €110M | rose |
| Gabriel Martinelli Premier League · 2024 | 23 | €70.0M | €45.0M | fell |
| Rodrygo Laliga · 2024 | 23 | €110M | €45.0M | fell |
| Cody Gakpo Premier League · 2024 | 25 | €50.0M | €60.0M | rose |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 31 Aug 2023 | Lyon | PSG | €45.0M | €18.0M |
| 7 Jan 2022 | Olymp. Lyon B | Lyon | Unknown | Data unavailable |
| 1 Jul 2020 | Olymp. Lyon U19 | Olymp. Lyon B | Unknown | Data unavailable |
| 1 Jul 2019 | Olymp. Lyon U17 | Olymp. Lyon U19 | Unknown | Data unavailable |
| 1 Jul 2018 | Ol. Lyon Yth. | Olymp. Lyon U17 | Unknown | Data 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.