
Gavi
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Gavi's performance-implied value at EUR 13.9M-49.4M, below the estimated acquisition range of EUR 20.9M-42.5M. Its 24-month market value projection is EUR 16.1M-44.9M. Context-adjusted goal contributions are 0.52x the positional average in the league (574 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)
| Performance | High | 85.3th pct among MID peers (age-neutral) |
| Age | Favorable | 21.9 years |
| Acquisition cost | Neutral | est. €27.9M vs market €30.0M |
| Expected appreciation | Neutral | -5% over ~2 years (model) |
| Value gap | Negative | weak predictor on its own |
| Development | High | breakout probability 14% |
| League translation | Big-five league | league coefficient 0.95 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | High | |
| Data confidence | Low |
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 1164 evaluated MID players with 900+ minutes.
Performance (last season, league)
- Minutes
- 574 (17% of available)
- Goals + assists / 90
- 0.16
- Context-adjusted G+A / 90
- 0.11
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 85 (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
- 1508
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- High
- Trajectory
- declining
- Breakout probability
- 14%
- Resale range (24m)
- €16.1M – €44.9M
Historical comparables (8): median 2-year value change +20% (IQR +7% to +34%).
Risk profile
Overall: High
- ▲Small sample: 574 league minutes last season.
- ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
- ⚠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 | FC Barcelona | Laliga | CM | 11 | 574 | 17% | 0 | 1 | 0.16 | 0.11 | 1508 | 1787 | 0.95 |
| 2024/25 | FC Barcelona | Laliga | CM | 26 | 1083 | 32% | 1 | 1 | 0.17 | 0.12 | 1489 | 1792 | 0.95 |
| 2023/24 | FC Barcelona | Laliga | CM | 12 | 943 | 28% | 1 | 1 | 0.19 | 0.16 | 1521 | 1723 | 1.00 |
| 2022/23 | FC Barcelona | Laliga | CM | 36 | 2545 | 74% | 2 | 4 | 0.21 | 0.14 | 1498 | 1696 | 0.98 |
| 2021/22 | FC Barcelona | Laliga | CM | 34 | 2326 | 68% | 2 | 6 | 0.31 | 0.22 | 1524 | 1686 | 1.05 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Champions League | FC Barcelona | 2 | 126 | 0 | 0 | 1655 |
| 2025/26 | World Cup | Spain | 1 | 71 | 0 | 0 | — |
| 2024/25 | Uefa Champions League | FC Barcelona | 10 | 298 | 0 | 0 | 1657 |
| 2024/25 | Copa Del Rey | FC Barcelona | 4 | 174 | 1 | 0 | — |
| 2024/25 | Supercopa | FC Barcelona | 2 | 132 | 1 | 2 | 1740 |
| 2023/24 | Uefa Champions League | FC Barcelona | 3 | 229 | 1 | 0 | 1610 |
| 2022/23 | Copa Del Rey | FC Barcelona | 5 | 375 | 0 | 1 | — |
| 2022/23 | Uefa Champions League | FC Barcelona | 5 | 331 | 0 | 0 | 1661 |
| 2022/23 | Supercopa | FC Barcelona | 2 | 186 | 1 | 2 | 1717 |
| 2022/23 | Uefa Europa League | FC Barcelona | 1 | 90 | 0 | 0 | 1685 |
| 2021/22 | Uefa Champions League | FC Barcelona | 6 | 398 | 0 | 0 | 1712 |
| 2021/22 | Uefa Europa League | FC Barcelona | 5 | 227 | 0 | 0 | 1582 |
| 2021/22 | Supercopa | FC Barcelona | 1 | 78 | 0 | 0 | 1829 |
| 2021/22 | Copa Del Rey | FC Barcelona | 1 | 61 | 0 | 0 | — |
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 |
|---|---|---|---|---|
| Renato Sanches Bundesliga · 2019 | 22 | €18.0M | €30.0M | rose |
| Kristjan Asllani Serie A · 2023 | 21 | €12.0M | €13.0M | flat |
| Dani Olmo Bundesliga · 2020 | 22 | €31.5M | €40.0M | rose |
| Mahmoud Dahoud Bundesliga · 2019 | 23 | €14.0M | €16.0M | flat |
| Curtis Jones Premier League · 2024 | 23 | €35.0M | €35.0M | flat |
| Mario Götze Bundesliga · 2017 | 25 | €20.0M | €25.0M | rose |
| Nicolas Seiwald Bundesliga · 2024 | 23 | €16.0M | €25.0M | rose |
| Amadou Diawara Serie A · 2018 | 21 | €18.0M | €18.5M | flat |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 1 Jul 2021 | Barça U19 | Barcelona | Unknown | Data unavailable |
| 1 Jul 2020 | Barça U16 | Barça U19 | Unknown | Data unavailable |
| 1 Jul 2019 | Barça Youth | Barça U16 | Unknown | Data unavailable |
| 1 Jul 2015 | Real Betis Yth. | Barça Youth | €10k | 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.