Vitaliy Boyko
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Vitaliy Boyko's performance-implied value at EUR 0.3M-1.0M, above the estimated acquisition range of EUR 0.2M-0.5M. Its 24-month market value projection is EUR 0.2M-0.6M. Context-adjusted goal contributions are 1.25x the positional average in the league (2334 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.
Acquisition note: Final year of contract: selling club's leverage is reduced.
Bargain Index: 89
What drives the score. Not a black box: each component and its level.
| Performance | Below average | 10.8th pct among MID peers (age-neutral) |
| Age | Unfavorable | 28.6 years |
| Acquisition cost | Very favorable | est. €211k vs market €600k |
| Expected appreciation | Low | -21% over ~2 years (model) |
| Value gap | Very large | 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 | 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 1163 evaluated MID players with 900+ minutes.
Performance (last season, league)
- Minutes
- 2334 (86% of available)
- Goals + assists / 90
- 0.27
- Context-adjusted G+A / 90
- 0.27
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 11 (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)
- 1087
- Opponent strength
- 1179
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Low
- Trajectory
- improving
- Breakout probability
- Age > 23
- Resale range (24m)
- €220k – €639k
Trajectory drivers: minutes share up 65 pts; changed club.
Historical comparables (8): median 2-year value change -4% (IQR -21% to +3%).
Risk profile
Overall: High
- ▲League level coefficient 0.25 (1.00 = big-five average): output may not translate.
- ⚠No continental-competition minutes last season.
- ⚠Contract ends in 12 months: cheaper, but competition and wage demands likely.
- ⓘ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
- 37 (all positions)
- Relative output kept
- 87%–128%
- Held a regular role (900+ min)
- 86%
- 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 | NK Veres Rivne | Premier Liga | CM | 28 | 2334 | 86% | 5 | 2 | 0.27 | 0.27 | 1179 | 1087 | 0.25 |
| 2024/25 | LNZ Cherkasy | Premier Liga | CM | 11 | 591 | 22% | 0 | 1 | 0.15 | 0.21 | 1179 | 1110 | 0.28 |
| 2023/24 | LNZ Cherkasy | Premier Liga | CM | 26 | 1919 | 71% | 2 | 0 | 0.09 | 0.18 | 1269 | 1179 | 0.34 |
| 2022/23 | PFK Lviv | Premier Liga | AM | 13 | 1046 | 39% | 1 | 2 | 0.26 | 0.37 | 1271 | 1029 | 0.38 |
| 2020/21 | FC Minaj | Premier Liga | LM | 8 | 405 | 17% | 0 | 0 | 0.00 | 0.25 | 1325 | 1129 | 0.49 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Ukrainian Cup | NK Veres Rivne | 1 | 22 | 0 | 0 | — |
| 2023/24 | Ukrainian Cup | LNZ Cherkasy | 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 |
|---|---|---|---|---|
| Vladyslav Klymenko Premier Liga · 2023 | 29 | €400k | €300k | fell |
| Dmytro Klyots Premier Liga · 2023 | 27 | €500k | €400k | fell |
| Melker Hallberg Scottish Premiership · 2023 | 28 | €500k | €700k | rose |
| Pavlo Orikhovskyi Premier Liga · 2023 | 27 | €500k | €500k | flat |
| Drey Wright Scottish Premiership · 2023 | 28 | €500k | €200k | fell |
| Florian Loshaj Super Lig · 2024 | 28 | €700k | €700k | flat |
| Kasper Enghardt Superliga · 2020 | 28 | €325k | €300k | flat |
| Vykintas Slivka Super League 1 · 2021 | 26 | €350k | €400k | flat |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 1 Jul 2025 | LNZ Cherkasy | Veres Rivne | Free / loan | €400k |
| 23 Jan 2023 | PFC Lviv | LNZ Cherkasy | Free / loan | €300k |
| 23 Aug 2022 | Volyn Lutsk | PFC Lviv | Free / loan | €175k |
| 16 Feb 2022 | Kremin | Volyn Lutsk | Free / loan | €175k |
| 6 Aug 2021 | FC Minaj | Kremin | Free / loan | €200k |
| 2 Mar 2021 | Sant Rafel | FC Minaj | Free / loan | €50k |
| 31 Jan 2020 | Cherkashchyna | Sant Rafel | Free / loan | €50k |
| 11 Jul 2017 | Unknown | Cherk. Dnipro | Free / loan | Data unavailable |
| 1 Aug 2016 | FK Umanf. Uman | Unknown | Free / loan | Data unavailable |
| 1 Apr 2016 | Unknown | FK Umanf. Uman | Free / loan | Data unavailable |
| 1 Jan 2015 | Zorya Bilozirya | Unknown | 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.