Anton Stach
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Anton Stach's performance-implied value at EUR 10.1M-31.4M, below the estimated acquisition range of EUR 17.1M-33.7M. Its 24-month market value projection is EUR 15.0M-31.4M. Context-adjusted goal contributions are 1.79x the positional average in the league (2378 minutes, league coefficient 1.30). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 26
What drives the score. Not a black box: each component and its level.
| Performance | High | 88.2th pct among MID peers (age-neutral) |
| Age | Neutral | 27.6 years |
| Acquisition cost | Neutral | est. €26.5M vs market €28.0M |
| Expected appreciation | Low | -22% over ~2 years (model) |
| Value gap | Very negative | weak predictor on its own |
| Development | Low | |
| League translation | Big-five league | league coefficient 1.3 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | Low | |
| 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 1163 evaluated MID players with 900+ minutes.
Performance (last season, league)
- Minutes
- 2378 (70% of available)
- Goals + assists / 90
- 0.30
- Context-adjusted G+A / 90
- 0.39
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 88 (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
- 1.30 (rank 1)
- Team strength (Elo)
- 1521
- Opponent strength
- 1614
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Low
- Trajectory
- improving
- Breakout probability
- Age > 23
- Resale range (24m)
- €15.0M – €31.4M
Trajectory drivers: minutes share down 15 pts; changed club; team strength up (+106 Elo); league level up (+126 Elo); role change DM -> CM; relative output up 83% vs positional peers.
Historical comparables (8): median 2-year value change -25% (IQR -48% to -15%).
Risk profile
Overall: Low
- ⓘ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 | Leeds United | Premier League | CM | 29 | 2378 | 70% | 5 | 3 | 0.30 | 0.39 | 1614 | 1521 | 1.30 |
| 2024/25 | TSG 1899 Hoffenheim | Bundesliga | DM | 30 | 2590 | 85% | 1 | 2 | 0.10 | 0.13 | 1499 | 1415 | 0.94 |
| 2023/24 | TSG 1899 Hoffenheim | Bundesliga | DM | 31 | 2326 | 76% | 2 | 4 | 0.23 | 0.21 | 1539 | 1471 | 1.01 |
| 2023/24 | 1.FSV Mainz 05 | Bundesliga | CM | 2 | 171 | 6% | 0 | 0 | 0.00 | 0.19 | 1562 | 1489 | 1.01 |
| 2022/23 | 1.FSV Mainz 05 | Bundesliga | DM | 30 | 2078 | 68% | 1 | 4 | 0.22 | 0.17 | 1525 | 1496 | 1.04 |
| 2021/22 | 1.FSV Mainz 05 | Bundesliga | DM | 29 | 1863 | 61% | 1 | 6 | 0.34 | 0.25 | 1553 | 1507 | 1.05 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Fa Cup | Leeds United | 4 | 104 | 0 | 0 | — |
| 2024/25 | Uefa Europa League | TSG 1899 Hoffenheim | 6 | 519 | 1 | 0 | 1537 |
| 2024/25 | Dfb Pokal | TSG 1899 Hoffenheim | 3 | 277 | 0 | 0 | — |
| 2023/24 | Dfb Pokal | 1.FSV Mainz 05 | 1 | 90 | 0 | 0 | — |
| 2023/24 | Dfb Pokal | TSG 1899 Hoffenheim | 1 | 90 | 0 | 0 | — |
| 2022/23 | Dfb Pokal | 1.FSV Mainz 05 | 3 | 213 | 0 | 0 | — |
| 2021/22 | Dfb Pokal | 1.FSV Mainz 05 | 3 | 159 | 0 | 3 | — |
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 |
|---|---|---|---|---|
| Dani Parejo Laliga · 2016 | 27 | €18.0M | €20.0M | flat |
| James Maddison Premier League · 2023 | 27 | €60.0M | €42.0M | fell |
| William Carvalho Laliga · 2019 | 27 | €25.0M | €15.0M | fell |
| Rúben Neves Premier League · 2022 | 25 | €40.0M | €32.0M | fell |
| Tomáš Souček Premier League · 2024 | 29 | €30.0M | €10.0M | fell |
| Andreas Pereira Premier League · 2023 | 27 | €18.0M | €18.0M | flat |
| Manuel Lanzini Premier League · 2018 | 25 | €20.0M | €16.0M | fell |
| Leander Dendoncker Premier League · 2022 | 27 | €28.0M | €7.0M | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 22 Jul 2025 | Hoffenheim | Leeds | €20.0M | €14.0M |
| 1 Sept 2023 | Mainz | Hoffenheim | €12.0M | €15.0M |
| 31 Jul 2021 | Greuther Fürth | Mainz | €4.5M | €2.5M |
| 1 Jul 2020 | Wolfsburg II | Greuther Fürth | Free / loan | €125k |
| 1 Jul 2018 | SSV Jeddeloh II | Wolfsburg II | Free / loan | €75k |
| 1 Jul 2017 | Osnabrück U19 | SSV Jeddeloh II | Free / loan | Data unavailable |
| 1 Jul 2016 | Nordwest U19 | Osnabrück U19 | Free / loan | Data unavailable |
| 1 Jul 2015 | W. Bremen U17 | Nordwest U19 | Free / loan | Data unavailable |
| 1 Jan 2015 | W. Bremen Yth. | W. Bremen U17 | Unknown | Data unavailable |
| 1 Jul 2011 | Buchholz Yth. | W. Bremen Yth. | 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.