Vladyslav Veleten
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Vladyslav Veleten's performance-implied value at EUR 0.5M-1.5M, above the estimated acquisition range of EUR 0.5M-1.3M. Its 24-month market value projection is EUR 0.6M-2.6M. Context-adjusted goal contributions are 1.26x the positional average in the league (950 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: 75
What drives the score. Not a black box: each component and its level.
| Performance | Below average | 21.2th pct among ATT peers (age-neutral) |
| Age | Favorable | 23.7 years |
| Acquisition cost | Favorable | est. €855k vs market €1.0M |
| Expected appreciation | Neutral | +10% over ~2 years (model) |
| Value gap | Small | weak predictor on its own |
| Development | Low | |
| League translation | Uncertain | league coefficient 0.25 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | Very High | |
| 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
- 950 (35% of available)
- Goals + assists / 90
- 0.66
- Context-adjusted G+A / 90
- 0.53
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 21 (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
- 0.25 (rank 30)
- Team strength (Elo)
- 1273
- Opponent strength
- 1150
- 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)
- €559k – €2.6M
Trajectory drivers: minutes share down 35 pts; changed club; team strength up (+87 Elo).
Historical comparables (8): median 2-year value change -12% (IQR -35% to +41%).
Risk profile
Overall: Very High
- ▲League level coefficient 0.25 (1.00 = big-five average): output may not translate.
- ▲Projection range among the widest 10% of evaluated players.
- ⚠Limited sample: 950 league minutes last season.
- ⚠No continental-competition minutes last season.
- ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
- ⚠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).
- 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 | FK Polissya Zhytomyr | Premier Liga | RW | 13 | 772 | 29% | 3 | 4 | 0.82 | 0.53 | 1150 | 1290 | 0.25 |
| 2025/26 | Kolos Kovalivka | Premier Liga | RW | 3 | 178 | 7% | 0 | 0 | 0.00 | 0.36 | 1222 | 1200 | 0.25 |
| 2024/25 | Kolos Kovalivka | Premier Liga | RW | 26 | 1882 | 70% | 4 | 5 | 0.43 | 0.54 | 1201 | 1186 | 0.28 |
| 2023/24 | Kolos Kovalivka | Premier Liga | LW | 26 | 998 | 37% | 2 | 2 | 0.36 | 0.47 | 1268 | 1143 | 0.34 |
| 2022/23 | Kolos Kovalivka | Premier Liga | RW | 13 | 330 | 12% | 1 | 1 | 0.55 | 0.51 | 1281 | 1191 | 0.38 |
| 2021/22 | Kolos Kovalivka | Premier Liga | AM | 2 | 34 | 2% | 0 | 0 | 0.00 | 0.51 | 1324 | 1276 | 0.45 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Ukrainian Cup | FK Polissya Zhytomyr | 1 | 26 | 0 | 0 | — |
| 2024/25 | Ukrainian Cup | Kolos Kovalivka | 1 | 60 | 0 | 0 | — |
| 2023/24 | Ukrainian Cup | Kolos Kovalivka | 1 | 71 | 0 | 0 | — |
| 2021/22 | Ukrainian Cup | Kolos Kovalivka | 1 | 8 | 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 |
|---|---|---|---|---|
| Vladyslav Naumets Premier Liga · 2024 | 25 | €500k | €300k | fell |
| Julián Bartolo Super League 1 · 2023 | 27 | €600k | €800k | rose |
| Paolo Fernandes Super League 1 · 2023 | 25 | €1.2M | €800k | fell |
| Yuriy Klymchuk Premier Liga · 2024 | 27 | €900k | €700k | fell |
| Jón Dagur Thorsteinsson Superliga · 2020 | 22 | €725k | €1.5M | rose |
| Duk Scottish Premiership · 2024 | 24 | €1.5M | €2.5M | rose |
| Levan Shengelia Super Lig · 2021 | 26 | €2.0M | €750k | fell |
| Maksym Pryadun Premier Liga · 2024 | 27 | €400k | €400k | flat |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 28 Aug 2025 | Kolos Kovalivka | Polissya | €430k | €600k |
| 13 Oct 2021 | Without Club | Kolos Kovalivka | Unknown | Data unavailable |
| 2 Aug 2021 | Dynamo Kyiv U19 | Without Club | Unknown | Data unavailable |
| 1 Jan 2019 | 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.