
Michael Zetterer
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Michael Zetterer's performance-implied value at EUR 2.1M-4.9M, above the estimated acquisition range of EUR 1.4M-4.9M. Its 24-month market value projection is EUR 1.0M-2.8M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 4
What drives the score. Not a black box: each component and its level.
| Performance | High | 79th pct among GK peers (age-neutral) |
| Age | Unfavorable | 31 years |
| Acquisition cost | Favorable | est. €2.8M vs market €4.0M |
| Expected appreciation | Very low | -60% 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 284 evaluated GK players with 900+ minutes.
Performance (last season, league)
- Minutes
- 1975 (65% of available)
- Goals + assists / 90
- 0.00
- Context-adjusted G+A / 90
- 0.00
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 79 (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
- 0.94 (rank 3)
- Team strength (Elo)
- 1445
- Opponent strength
- 1445
- 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)
- €1.0M – €2.8M
Trajectory drivers: minutes share down 35 pts; changed club.
Historical comparables (8): median 2-year value change -66% (IQR -82% to -42%).
Risk profile
Overall: Moderate
- ⚠Age 31: resale value typically declines.
- ⚠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 | Eintracht Frankfurt | Bundesliga | GK | 22 | 1975 | 65% | 0 | 0 | 0.00 | 0.00 | 1445 | 1445 | 0.94 |
| 2024/25 | SV Werder Bremen | Bundesliga | GK | 34 | 3060 | 100% | 0 | 0 | 0.00 | 0.00 | 1497 | 1483 | 0.94 |
| 2023/24 | SV Werder Bremen | Bundesliga | GK | 27 | 2430 | 79% | 0 | 0 | 0.00 | 0.00 | 1538 | 1459 | 1.01 |
| 2022/23 | SV Werder Bremen | Bundesliga | GK | 2 | 151 | 5% | 0 | 0 | 0.00 | 0.00 | 1458 | 1393 | 1.04 |
| 2020/21 | PEC Zwolle | Eredivisie | GK | 19 | 1710 | 56% | 0 | 0 | 0.00 | 0.00 | 1371 | 1271 | 0.56 |
| 2019/20 | PEC Zwolle | Eredivisie | GK | 13 | 1170 | 50% | 0 | 0 | 0.00 | 0.00 | 1397 | 1272 | 0.62 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Champions League | Eintracht Frankfurt | 5 | 450 | 0 | 0 | 1680 |
| 2025/26 | Dfb Pokal | Eintracht Frankfurt | 1 | 120 | 0 | 0 | — |
| 2025/26 | Dfb Pokal | SV Werder Bremen | 1 | 90 | 0 | 0 | — |
| 2024/25 | Dfb Pokal | SV Werder Bremen | 4 | 360 | 0 | 0 | — |
| 2020/21 | Knvb Beker | PEC Zwolle | 1 | 90 | 0 | 0 | — |
| 2019/20 | Knvb Beker | PEC Zwolle | 1 | 90 | 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 |
|---|---|---|---|---|
| Koen Casteels Bundesliga · 2024 | 32 | €6.0M | €3.5M | fell |
| Lukasz Skorupski Serie A · 2021 | 30 | €3.8M | €3.5M | flat |
| Mariano Andújar Serie A · 2014 | 31 | €3.8M | €1.8M | fell |
| Stéphane Ruffier Ligue 1 · 2017 | 31 | €6.0M | €3.5M | fell |
| Rémy Riou Ligue 1 · 2017 | 30 | €4.0M | €400k | fell |
| Emiliano Viviano Serie A · 2017 | 32 | €4.0M | €1.0M | fell |
| Michael Agazzi Serie A · 2014 | 30 | €6.0M | €750k | fell |
| Ralf Fährmann Bundesliga · 2019 | 31 | €5.0M | €1.0M | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 20 Aug 2025 | Werder Bremen | Frankfurt | €6.0M | €4.5M |
| 30 Jan 2021 | PEC Zwolle | Werder Bremen | Free / loan | €800k |
| 1 Jul 2019 | Werder Bremen | PEC Zwolle | Free / loan | €350k |
| 30 Jun 2019 | A. Klagenfurt | Werder Bremen | Free / loan | €350k |
| 6 Feb 2019 | Werder Bremen | A. Klagenfurt | Free / loan | €250k |
| 27 Jan 2015 | Unterhaching | Werder Bremen | €100k | €150k |
| 1 Jul 2013 | U'haching U19 | Unterhaching | Unknown | Data unavailable |
| 1 Jul 2012 | U'haching U17 | U'haching U19 | Unknown | Data unavailable |
| 1 Jul 2011 | U'haching Yth. | U'haching U17 | Unknown | Data unavailable |
| 1 Jul 2006 | Darching Yth. | U'haching 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.