
Christian Pulisic
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Christian Pulisic's performance-implied value at EUR 20.0M-50.7M, above the estimated acquisition range of EUR 15.7M-33.8M. Its 24-month market value projection is EUR 12.4M-31.8M. Context-adjusted goal contributions are 0.91x the positional average in the league (1612 minutes, league coefficient 0.93). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Acquisition note: Final year of contract: selling club's leverage is reduced.
Bargain Index: 34
What drives the score. Not a black box: each component and its level.
| Performance | Elite | 94.9th pct among ATT peers (age-neutral) |
| Age | Neutral | 27.8 years |
| Acquisition cost | Very favorable | est. €21.0M vs market €40.0M |
| Expected appreciation | Very low | -54% over ~2 years (model) |
| Value gap | Large | weak predictor on its own |
| Development | Low | |
| League translation | Big-five league | league coefficient 0.93 |
| 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
- 1612 (47% of available)
- Goals + assists / 90
- 0.67
- Context-adjusted G+A / 90
- 0.49
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 95 (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
- 0.93 (rank 4)
- Team strength (Elo)
- 1570
- Opponent strength
- 1470
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Low
- Trajectory
- declining
- Breakout probability
- Age > 23
- Resale range (24m)
- €12.4M – €31.8M
Trajectory drivers: minutes share down 26 pts; role change RW -> SS; relative output down 32% vs positional peers.
Historical comparables (8): median 2-year value change -51% (IQR -59% to -20%).
Risk profile
Overall: Moderate
- ⚠Limited sample: 1612 league minutes last season.
- ⚠Contract ends in 12 months: cheaper, but competition and wage demands likely.
- ⚠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 | AC Milan | Serie A | SS | 30 | 1612 | 47% | 8 | 4 | 0.67 | 0.49 | 1470 | 1570 | 0.93 |
| 2024/25 | AC Milan | Serie A | RW | 34 | 2492 | 73% | 11 | 11 | 0.79 | 0.58 | 1480 | 1625 | 0.99 |
| 2023/24 | AC Milan | Serie A | RW | 36 | 2621 | 77% | 12 | 9 | 0.72 | 0.45 | 1475 | 1625 | 0.98 |
| 2022/23 | Chelsea FC | Premier League | RW | 24 | 813 | 24% | 1 | 1 | 0.22 | 0.24 | 1518 | 1579 | 1.23 |
| 2021/22 | Chelsea FC | Premier League | AM | 22 | 1286 | 38% | 6 | 2 | 0.56 | 0.32 | 1557 | 1737 | 1.17 |
| 2020/21 | Chelsea FC | Premier League | AM | 27 | 1737 | 51% | 4 | 2 | 0.31 | 0.29 | 1580 | 1735 | 1.19 |
| 2019/20 | Chelsea FC | Premier League | LW | 25 | 1727 | 50% | 9 | 6 | 0.78 | 0.44 | 1544 | 1653 | 1.14 |
| 2018/19 | Borussia Dortmund | Bundesliga | RW | 20 | 926 | 30% | 4 | 4 | 0.78 | 0.37 | 1479 | 1683 | 1.05 |
| 2017/18 | Borussia Dortmund | Bundesliga | RW | 32 | 2313 | 76% | 4 | 6 | 0.39 | 0.34 | 1512 | 1592 | 1.04 |
| 2016/17 | Borussia Dortmund | Bundesliga | RW | 29 | 1516 | 50% | 3 | 8 | 0.65 | 0.35 | 1509 | 1705 | 1.06 |
| 2015/16 | Borussia Dortmund | Bundesliga | LW | 9 | 386 | 13% | 2 | 0 | 0.47 | 0.26 | 1484 | 1718 | 1.02 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Italy Cup | AC Milan | 3 | 104 | 2 | 0 | — |
| 2025/26 | Supercoppa Italiana | AC Milan | 1 | 90 | 0 | 0 | 1647 |
| 2025/26 | World Cup | United States | 2 | 77 | 0 | 1 | — |
| 2024/25 | Uefa Champions League | AC Milan | 9 | 633 | 4 | 1 | 1624 |
| 2024/25 | Italy Cup | AC Milan | 5 | 345 | 0 | 0 | — |
| 2024/25 | Supercoppa Italiana | AC Milan | 2 | 180 | 2 | 0 | 1759 |
| 2023/24 | Uefa Champions League | AC Milan | 6 | 442 | 1 | 0 | 1694 |
| 2023/24 | Uefa Europa League | AC Milan | 6 | 441 | 2 | 1 | 1604 |
| 2023/24 | Italy Cup | AC Milan | 2 | 109 | 0 | 1 | — |
| 2022/23 | Uefa Champions League | Chelsea FC | 5 | 110 | 0 | 1 | 1660 |
| 2021/22 | Uefa Champions League | Chelsea FC | 7 | 368 | 2 | 1 | 1668 |
| 2021/22 | Fa Cup | Chelsea FC | 4 | 260 | 0 | 1 | — |
| 2021/22 | Uefa Super Cup | Chelsea FC | 1 | 77 | 0 | 0 | 1689 |
| 2020/21 | Uefa Champions League | Chelsea FC | 10 | 420 | 2 | 2 | 1719 |
| 2020/21 | Fa Cup | Chelsea FC | 6 | 297 | 0 | 0 | — |
| 2019/20 | Uefa Champions League | Chelsea FC | 4 | 266 | 1 | 2 | 1665 |
| 2019/20 | Fa Cup | Chelsea FC | 2 | 121 | 1 | 0 | — |
| 2019/20 | Uefa Super Cup | Chelsea FC | 1 | 74 | 0 | 1 | 1915 |
| 2018/19 | Uefa Champions League | Borussia Dortmund | 7 | 455 | 1 | 0 | 1651 |
| 2018/19 | Dfb Pokal | Borussia Dortmund | 3 | 320 | 2 | 2 | — |
| 2017/18 | Uefa Champions League | Borussia Dortmund | 5 | 374 | 0 | 0 | 1641 |
| 2017/18 | Uefa Europa League | Borussia Dortmund | 3 | 172 | 0 | 1 | 1590 |
| 2017/18 | Dfb Pokal | Borussia Dortmund | 1 | 90 | 0 | 0 | — |
| 2017/18 | Franz Beckenbauer Supercup | Borussia Dortmund | 1 | 90 | 1 | 0 | 1855 |
| 2016/17 | Uefa Champions League | Borussia Dortmund | 10 | 600 | 1 | 3 | 1622 |
| 2016/17 | Dfb Pokal | Borussia Dortmund | 4 | 211 | 1 | 2 | — |
| 2015/16 | Uefa Europa League | Borussia Dortmund | 3 | 47 | 0 | 0 | 1645 |
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 |
|---|---|---|---|---|
| Andriy Yarmolenko Bundesliga · 2018 | 29 | €23.0M | €9.5M | fell |
| Memphis Depay Ligue 1 · 2020 | 26 | €44.0M | €35.0M | fell |
| Nico González Serie A · 2023 | 25 | €30.0M | €24.0M | fell |
| Radamel Falcao Ligue 1 · 2014 | 28 | €60.0M | €23.0M | fell |
| Hirving Lozano Serie A · 2022 | 27 | €30.0M | €15.0M | fell |
| Hulk Premier Liga · 2013 | 27 | €45.0M | €37.0M | flat |
| Mattia Zaccagni Serie A · 2024 | 29 | €20.0M | €7.5M | fell |
| Kaoru Mitoma Premier League · 2024 | 27 | €45.0M | €22.0M | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 13 Jul 2023 | Chelsea | AC Milan | €20.8M | €25.0M |
| 30 Jun 2019 | Dortmund | Chelsea | Free / loan | €60.0M |
| 3 Jan 2019 | Chelsea | Dortmund | Free / loan | €50.0M |
| 2 Jan 2019 | Dortmund | Chelsea | €64.0M | €50.0M |
| 4 Jan 2016 | B. Dortmund U19 | Dortmund | Unknown | Data unavailable |
| 1 Jul 2015 | B. Dortmund U17 | B. Dortmund U19 | Unknown | Data unavailable |
| 10 Feb 2015 | PA Classics | B. Dortmund U17 | Free / loan | 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.