
András Schäfer
Value picture
Where the market, the likely price and the model estimates sit.
The model rates András Schäfer's performance-implied value at EUR 2.4M-4.8M, above the estimated acquisition range of EUR 1.4M-3.9M. Its 24-month market value projection is EUR 1.7M-4.5M. Context-adjusted goal contributions are 0.95x the positional average in the league (1419 minutes, league coefficient 0.94). 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: 76
What drives the score. Not a black box: each component and its level.
| Performance | Average | 54.9th pct among MID peers (age-neutral) |
| Age | Neutral | 27.2 years |
| Acquisition cost | Very favorable | est. €1.9M vs market €4.5M |
| Expected appreciation | Very low | -36% over ~2 years (model) |
| Value gap | Large | weak predictor on its own |
| Development | Low | |
| League translation | Big-five league | league coefficient 0.94 |
| 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 1163 evaluated MID players with 900+ minutes.
Performance (last season, league)
- Minutes
- 1419 (46% of available)
- Goals + assists / 90
- 0.19
- Context-adjusted G+A / 90
- 0.21
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 55 (Average)
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
- 0.94 (rank 3)
- Team strength (Elo)
- 1392
- Opponent strength
- 1501
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Low
- Trajectory
- stable
- Breakout probability
- Age > 23
- Resale range (24m)
- €1.7M – €4.5M
Historical comparables (8): median 2-year value change -5% (IQR -30% to +0%).
Risk profile
Overall: Moderate
- ⚠Limited sample: 1419 league minutes last season.
- ⚠Contract ends in 12 months: cheaper, but competition and wage demands likely.
- ⓘ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 | 1.FC Union Berlin | Bundesliga | CM | 28 | 1419 | 46% | 2 | 1 | 0.19 | 0.21 | 1501 | 1392 | 0.94 |
| 2024/25 | 1.FC Union Berlin | Bundesliga | CM | 26 | 1537 | 50% | 1 | 1 | 0.12 | 0.19 | 1524 | 1394 | 0.94 |
| 2023/24 | 1.FC Union Berlin | Bundesliga | CM | 20 | 1219 | 40% | 1 | 2 | 0.22 | 0.22 | 1506 | 1431 | 1.01 |
| 2022/23 | 1.FC Union Berlin | Bundesliga | CM | 16 | 862 | 28% | 0 | 0 | 0.00 | 0.09 | 1550 | 1587 | 1.04 |
| 2021/22 | 1.FC Union Berlin | Bundesliga | CM | 8 | 232 | 8% | 1 | 1 | 0.78 | 0.39 | 1612 | 1568 | 1.05 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Dfb Pokal | 1.FC Union Berlin | 3 | 234 | 0 | 0 | — |
| 2024/25 | Dfb Pokal | 1.FC Union Berlin | 2 | 109 | 0 | 0 | — |
| 2022/23 | Uefa Europa League | 1.FC Union Berlin | 5 | 215 | 0 | 0 | 1534 |
| 2022/23 | Dfb Pokal | 1.FC Union Berlin | 2 | 123 | 0 | 1 | — |
| 2021/22 | Uefa Conference League Qualifying | DAC Dunajska Streda | 2 | 180 | 0 | 0 | 1515 |
| 2021/22 | Dfb Pokal | 1.FC Union Berlin | 1 | 26 | 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 |
|---|---|---|---|---|
| Georgios Kyriakopoulos Serie A · 2024 | 28 | €3.5M | €2.0M | fell |
| Adrian Mierzejewski Super Lig · 2013 | 27 | €5.5M | €5.0M | flat |
| Aarón Martín Serie A · 2024 | 27 | €5.0M | €5.0M | flat |
| Rémi Oudin Serie A · 2024 | 28 | €3.5M | €3.5M | flat |
| João Pedro Serie A · 2018 | 26 | €5.0M | €12.0M | rose |
| Álvaro Aguado Laliga · 2023 | 27 | €3.0M | €3.0M | flat |
| Mërgim Vojvoda Serie A · 2023 | 28 | €4.0M | €3.0M | fell |
| Suat Serdar Serie A · 2024 | 27 | €5.0M | €2.8M | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 21 Jan 2022 | Dunajska Streda | Union Berlin | €1.0M | €1.6M |
| 9 Sept 2020 | Genoa | Dunajska Streda | Unknown | €400k |
| 31 Aug 2020 | Dunajska Streda | Genoa | Free / loan | €400k |
| 30 Jan 2020 | Genoa | Dunajska Streda | Free / loan | €400k |
| 16 Jan 2020 | Chievo Verona | Genoa | Free / loan | €400k |
| 21 Aug 2019 | Genoa | Chievo Verona | Free / loan | €400k |
| 25 Jan 2019 | MTK Budapest | Genoa | €1.0M | €400k |
| 1 Jan 2017 | MTK U19 | MTK Budapest | Unknown | Data unavailable |
| 1 Jul 2016 | MTK U17 | MTK U19 | Unknown | Data unavailable |
| 15 Aug 2014 | Haladás Yth. | MTK Yth. | Free / loan | Data unavailable |
| 1 Jul 2014 | MTK Yth. | MTK 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.