
Jan Zamburek
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Jan Zamburek's performance-implied value at EUR 0.3M-0.5M, above the estimated acquisition range of EUR 0.1M-0.5M. Its 24-month market value projection is EUR 0.3M-0.5M. Context-adjusted goal contributions are 0.61x the positional average in the league (1735 minutes, league coefficient 0.43). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 90
What drives the score. Not a black box: each component and its level.
| Performance | Below average | 3.8th pct among MID peers (age-neutral) |
| Age | Neutral | 25.4 years |
| Acquisition cost | Favorable | est. €244k vs market €400k |
| Expected appreciation | Neutral | -3% over ~2 years (model) |
| Value gap | Large | weak predictor on its own |
| Development | Low | |
| League translation | Uncertain | league coefficient 0.43 |
| 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
- 1735 (57% of available)
- Goals + assists / 90
- 0.05
- Context-adjusted G+A / 90
- 0.13
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 4 (Below 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
- 0.43 (rank 15)
- Team strength (Elo)
- 1060
- Opponent strength
- 1323
- 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)
- €269k – €481k
Trajectory drivers: minutes share up 26 pts; team strength down (-147 Elo); relative output down 32% vs positional peers.
Historical comparables (8): median 2-year value change +0% (IQR -26% to +0%).
Risk profile
Overall: Moderate
- ⚠Limited sample: 1735 league minutes last season.
- ⚠League level coefficient 0.43 (1.00 = big-five average): output may not translate.
- ⚠No continental-competition minutes last 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).
- Historical movers
- 53 (MID)
- Relative output kept
- 76%–148%
- Held a regular role (900+ min)
- 68%
- Confidence
- Medium
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 | Heracles Almelo | Eredivisie | CM | 26 | 1735 | 57% | 0 | 1 | 0.05 | 0.13 | 1323 | 1060 | 0.43 |
| 2024/25 | Heracles Almelo | Eredivisie | CM | 20 | 934 | 31% | 0 | 1 | 0.10 | 0.19 | 1344 | 1207 | 0.50 |
| 2023/24 | Viborg FF | Superliga | CM | 3 | 100 | 5% | 0 | 0 | 0.00 | 0.20 | 1288 | 1261 | 0.48 |
| 2022/23 | Viborg FF | Superliga | CM | 14 | 523 | 26% | 1 | 1 | 0.34 | 0.30 | 1300 | 1327 | 0.47 |
| 2021/22 | Viborg FF | Superliga | CM | 5 | 58 | 3% | 0 | 0 | 0.00 | 0.28 | 1349 | 1234 | 0.45 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Knvb Beker | Heracles Almelo | 3 | 267 | 0 | 0 | — |
| 2024/25 | Knvb Beker | Heracles Almelo | 4 | 315 | 0 | 1 | — |
| 2022/23 | Uefa Conference League Qualifying | Viborg FF | 6 | 424 | 0 | 1 | 1347 |
| 2022/23 | Oddset Pokalen | Viborg FF | 3 | 191 | 0 | 1 | — |
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 |
|---|---|---|---|---|
| Oleksandr Snizhko Premier Liga · 2021 | 25 | €300k | €175k | fell |
| Klodian Gjino Super League 1 · 2019 | 25 | €250k | €200k | fell |
| James Brown Scottish Premiership · 2023 | 25 | €325k | €325k | flat |
| Giannis Ikonomidis Super League 1 · 2020 | 22 | €300k | €300k | flat |
| Mateo Stamatov Premier Liga · 2024 | 25 | €700k | €700k | flat |
| Yalçın Kayan Super Lig · 2022 | 23 | €650k | €1.1M | rose |
| Loreintz Rosier Eredivisie · 2024 | 26 | €900k | €900k | flat |
| Andreas Lampropoulos Super League 1 · 2015 | 27 | €500k | €300k | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 3 Jul 2024 | Viborg FF | Heracles Almelo | €402k | €600k |
| 30 Jun 2024 | Slovan Liberec | Viborg FF | Free / loan | €600k |
| 1 Sept 2023 | Viborg FF | Slovan Liberec | Free / loan | €500k |
| 12 Jan 2022 | Brentford | Viborg FF | Unknown | €800k |
| 11 Jan 2021 | Shrewsbury | Brentford | Free / loan | €800k |
| 5 Oct 2020 | Brentford | Shrewsbury | Free / loan | €800k |
| 30 Aug 2019 | Brentford B | Brentford | Unknown | €50k |
| 9 Aug 2018 | Slavia U19 | Brentford B | Unknown | €50k |
| 1 Jul 2017 | Slavia U17 | Slavia U19 | Unknown | Data unavailable |
| 1 Jul 2016 | Slavia Yth. | Slavia U17 | Unknown | Data unavailable |
| 30 Jul 2015 | Bohemians Yth. | Slavia Yth. | 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.