
Vaclav Cerny
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Vaclav Cerny's performance-implied value at EUR 1.6M-9.2M, above the estimated acquisition range of EUR 2.6M-6.8M. Its 24-month market value projection is EUR 2.1M-6.0M. Context-adjusted goal contributions are 1.20x the positional average in the league (2054 minutes, league coefficient 0.40). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 23
What drives the score. Not a black box: each component and its level.
| Performance | Above average | 73.9th pct among ATT peers (age-neutral) |
| Age | Unfavorable | 28.7 years |
| Acquisition cost | Favorable | est. €4.6M vs market €7.0M |
| Expected appreciation | Very low | -48% over ~2 years (model) |
| Value gap | Large | weak predictor on its own |
| Development | Low | |
| League translation | Uncertain | league coefficient 0.4 |
| 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
- 2054 (67% of available)
- Goals + assists / 90
- 0.57
- Context-adjusted G+A / 90
- 0.47
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 74 (Above 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
- 0.40 (rank 18)
- Team strength (Elo)
- 1351
- Opponent strength
- 1278
- 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)
- €2.1M – €6.0M
Trajectory drivers: changed club; team strength down (-112 Elo); league level up (+44 Elo); role change RM -> RW.
Historical comparables (8): median 2-year value change -32% (IQR -47% to -26%).
Risk profile
Overall: Moderate
- ⚠League level coefficient 0.40 (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 (ATT)
- Relative output kept
- 79%–133%
- Held a regular role (900+ min)
- 58%
- 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 | Beşiktaş Jimnastik Kulübü | Super Lig | RW | 30 | 2008 | 66% | 5 | 8 | 0.58 | 0.47 | 1278 | 1350 | 0.40 |
| 2025/26 | VfL Wolfsburg | Bundesliga | RW | 2 | 46 | 2% | 0 | 0 | 0.00 | 0.39 | 1493 | 1372 | 0.94 |
| 2024/25 | Rangers FC | Scottish Premiership | RM | 28 | 2160 | 73% | 11 | 2 | 0.54 | 0.27 | 1222 | 1463 | 0.34 |
| 2023/24 | VfL Wolfsburg | Bundesliga | RW | 22 | 923 | 30% | 4 | 0 | 0.39 | 0.37 | 1476 | 1427 | 1.01 |
| 2022/23 | FC Twente Enschede | Eredivisie | RW | 32 | 2407 | 79% | 13 | 11 | 0.90 | 0.55 | 1350 | 1505 | 0.58 |
| 2021/22 | FC Twente Enschede | Eredivisie | RW | 18 | 532 | 17% | 1 | 1 | 0.34 | 0.39 | 1372 | 1435 | 0.60 |
| 2020/21 | FC Twente Enschede | Eredivisie | RW | 16 | 1198 | 39% | 6 | 7 | 0.98 | 0.79 | 1358 | 1251 | 0.56 |
| 2019/20 | FC Utrecht | Eredivisie | RW | 13 | 358 | 16% | 0 | 0 | 0.00 | 0.24 | 1353 | 1418 | 0.62 |
| 2017/18 | Ajax Amsterdam | Eredivisie | RW | 4 | 157 | 5% | 0 | 2 | 1.15 | 0.27 | 1301 | 1627 | 0.59 |
| 2016/17 | Ajax Amsterdam | Eredivisie | RW | 5 | 213 | 7% | 0 | 0 | 0.00 | 0.21 | 1387 | 1627 | 0.54 |
| 2015/16 | Ajax Amsterdam | Eredivisie | RW | 7 | 267 | 9% | 1 | 1 | 0.67 | 0.26 | 1243 | 1619 | 0.58 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Dfb Pokal | VfL Wolfsburg | 1 | 31 | 1 | 0 | — |
| 2024/25 | Uefa Europa League | Rangers FC | 12 | 932 | 6 | 2 | 1554 |
| 2024/25 | Scottish Fa Cup | Rangers FC | 1 | 90 | 0 | 0 | — |
| 2024/25 | Uefa Champions League Qualifying | Rangers FC | 2 | 75 | 0 | 1 | 1483 |
| 2023/24 | Dfb Pokal | VfL Wolfsburg | 3 | 133 | 1 | 1 | — |
| 2022/23 | Uefa Conference League Qualifying | FC Twente Enschede | 4 | 140 | 1 | 0 | 1448 |
| 2022/23 | Knvb Beker | FC Twente Enschede | 1 | 90 | 0 | 0 | — |
| 2021/22 | Knvb Beker | FC Twente Enschede | 2 | 48 | 0 | 0 | — |
| 2020/21 | Knvb Beker | FC Twente Enschede | 1 | 45 | 0 | 0 | — |
| 2019/20 | Uefa Europa League Qualifying | FC Utrecht | 2 | 127 | 0 | 0 | 1310 |
| 2019/20 | Knvb Beker | FC Utrecht | 1 | 90 | 0 | 0 | — |
| 2018/19 | Knvb Beker | Ajax Amsterdam | 3 | 108 | 0 | 0 | — |
| 2017/18 | Knvb Beker | Ajax Amsterdam | 2 | 154 | 1 | 1 | — |
| 2017/18 | Uefa Europa League Qualifying | Ajax Amsterdam | 1 | 52 | 0 | 0 | 1422 |
| 2016/17 | Knvb Beker | Ajax Amsterdam | 3 | 184 | 1 | 2 | — |
| 2016/17 | Uefa Europa League | Ajax Amsterdam | 1 | 90 | 0 | 0 | 1399 |
| 2016/17 | Uefa Champions League Qualifying | Ajax Amsterdam | 1 | 2 | 0 | 0 | 1386 |
| 2015/16 | Uefa Europa League | Ajax Amsterdam | 1 | 21 | 1 | 0 | 1502 |
| 2015/16 | Uefa Europa League Qualifying | Ajax Amsterdam | 1 | 5 | 0 | 0 | 1380 |
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 |
|---|---|---|---|---|
| Théo Bongonda Jupiler Pro League · 2022 | 27 | €7.0M | €5.0M | fell |
| Rey Manaj Super Lig · 2024 | 27 | €5.0M | €1.8M | fell |
| Sebastián Palacios Super League 1 · 2022 | 30 | €3.0M | €2.0M | fell |
| Saba Lobjanidze Super Lig · 2022 | 28 | €4.3M | €3.0M | fell |
| Tarik Tissoudali Jupiler Pro League · 2022 | 29 | €7.5M | €6.5M | flat |
| Viktor Claesson Premier Liga · 2021 | 29 | €10.0M | €6.0M | fell |
| Andraz Sporar Super League 1 · 2023 | 29 | €5.0M | €1.7M | fell |
| Aleksandar Pesic Super Lig · 2022 | 30 | €3.0M | €2.5M | flat |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 2 Sept 2025 | Wolfsburg | Besiktas | €6.0M | €8.0M |
| 30 Jun 2025 | Rangers | Wolfsburg | Free / loan | €8.0M |
| 26 Jul 2024 | Wolfsburg | Rangers | Free / loan | €7.0M |
| 1 Jul 2023 | FC Twente | Wolfsburg | €8.0M | €8.0M |
| 2 Jul 2021 | Utrecht | FC Twente | €1.0M | €1.0M |
| 30 Jun 2021 | FC Twente | Utrecht | Free / loan | €1.0M |
| 13 Jul 2020 | Utrecht | FC Twente | Free / loan | €650k |
| 8 Jul 2019 | Ajax | Utrecht | €900k | €1.0M |
| 1 Jul 2016 | Ajax U21 | Ajax | Unknown | €900k |
| 1 Jul 2015 | Ajax U19 | Ajax U21 | Unknown | €50k |
| 1 Jul 2014 | Ajax U17 | Ajax U19 | Unknown | Data unavailable |
| 1 Jan 2014 | Pribram U17 | Ajax U17 | €750k | Data unavailable |
| 1 Jul 2012 | Pribram Yth. | Pribram U17 | Unknown | Data unavailable |
| 30 Jun 2007 | Sparta Krc Yth. | Pribram Yth. | Free / loan | Data unavailable |
| 5 Sept 2006 | Pribram Yth. | Sparta Krc Yth. | Free / loan | Data unavailable |
| 30 Jun 2006 | UMBRO Praha 3 | Pribram Yth. | Free / loan | Data unavailable |
| 28 Jul 2005 | Pribram Yth. | UMBRO Praha 3 | 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.