
Nazar Voloshyn
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Nazar Voloshyn's performance-implied value at EUR 1.5M-10.3M, below the estimated acquisition range of EUR 2.8M-6.5M. Its 24-month market value projection is EUR 2.6M-9.6M. Context-adjusted goal contributions are 1.02x the positional average in the league (1976 minutes, league coefficient 0.25). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 65
What drives the score. Not a black box: each component and its level.
| Performance | Average | 44th pct among ATT peers (age-neutral) |
| Age | Favorable | 23 years |
| Acquisition cost | Favorable | est. €4.2M vs market €5.0M |
| Expected appreciation | Neutral | -3% over ~2 years (model) |
| Value gap | Very negative | weak predictor on its own |
| Development | Moderate | |
| League translation | Uncertain | league coefficient 0.25 |
| 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
- 1976 (73% of available)
- Goals + assists / 90
- 0.64
- Context-adjusted G+A / 90
- 0.40
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 44 (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
- 0.25 (rank 30)
- Team strength (Elo)
- 1324
- Opponent strength
- 1143
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Moderate
- Trajectory
- improving
- Breakout probability
- Age > 23
- Resale range (24m)
- €2.6M – €9.6M
Trajectory drivers: minutes share up 36 pts; team strength down (-82 Elo); relative output up 82% vs positional peers.
Historical comparables (8): median 2-year value change +91% (IQR +46% to +153%).
Risk profile
Overall: Moderate
- ▲League level coefficient 0.25 (1.00 = big-five average): output may not translate.
- ⚠Projection range wider than for most evaluated players.
- ⓘ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
- 18 (ATT)
- Relative output kept
- 87%–104%
- Held a regular role (900+ min)
- 94%
- Confidence
- Low
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 | Dynamo Kyiv | Premier Liga | RW | 27 | 1976 | 73% | 5 | 9 | 0.64 | 0.40 | 1143 | 1324 | 0.25 |
| 2024/25 | Dynamo Kyiv | Premier Liga | RW | 24 | 1011 | 37% | 0 | 3 | 0.27 | 0.24 | 1188 | 1406 | 0.28 |
| 2023/24 | Dynamo Kyiv | Premier Liga | LW | 26 | 1723 | 64% | 7 | 8 | 0.78 | 0.48 | 1246 | 1458 | 0.34 |
| 2022/23 | Kryvbas Kryvyi Rig | Premier Liga | LW | 13 | 1090 | 40% | 4 | 0 | 0.33 | 0.48 | 1287 | 1236 | 0.38 |
| 2022/23 | Dynamo Kyiv | Premier Liga | LW | 13 | 460 | 17% | 3 | 0 | 0.59 | 0.40 | 1280 | 1433 | 0.38 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Ukrainian Cup | Dynamo Kyiv | 3 | 207 | 1 | 3 | — |
| 2025/26 | Uefa Europa League Qualifying | Dynamo Kyiv | 2 | 163 | 1 | 0 | 1524 |
| 2025/26 | Uefa Champions League Qualifying | Dynamo Kyiv | 4 | 141 | 1 | 1 | 1330 |
| 2024/25 | Uefa Europa League | Dynamo Kyiv | 6 | 369 | 0 | 0 | 1528 |
| 2024/25 | Ukrainian Cup | Dynamo Kyiv | 4 | 308 | 2 | 2 | — |
| 2024/25 | Uefa Champions League Qualifying | Dynamo Kyiv | 6 | 194 | 1 | 2 | 1508 |
| 2023/24 | Uefa Conference League Qualifying | Dynamo Kyiv | 4 | 241 | 2 | 0 | 1466 |
| 2023/24 | Ukrainian Cup | Dynamo Kyiv | 1 | 45 | 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 |
|---|---|---|---|---|
| Doğukan Sinik Super Lig · 2022 | 23 | €4.0M | €2.0M | fell |
| Daniel Mancini Super League 1 · 2022 | 26 | €2.0M | €3.0M | rose |
| Eduardo Guerrero Premier Liga · 2024 | 24 | €1.2M | €2.5M | rose |
| Ezequiel Ponce Super League 1 · 2019 | 22 | €4.0M | €7.0M | rose |
| Levi García Super League 1 · 2022 | 25 | €4.0M | €13.0M | rose |
| Mohammed Kudus Superliga · 2020 | 20 | €2.7M | €10.0M | rose |
| Jón Dagur Thorsteinsson Superliga · 2021 | 23 | €1.5M | €3.5M | rose |
| Anders Dreyer Superliga · 2021 | 23 | €6.0M | €8.0M | rose |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 1 Jan 2023 | Dynamo Kyiv U19 | Dynamo Kyiv | Unknown | €300k |
| 31 Dec 2022 | Kryvbas | Dynamo Kyiv U19 | Free / loan | €300k |
| 17 Jul 2022 | Dynamo Kyiv U19 | Kryvbas | Free / loan | €100k |
| 1 Jan 2020 | Dynamo Kyiv U17 | Dynamo Kyiv U19 | 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.