Borys Krushynskyi
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Borys Krushynskyi's performance-implied value at EUR 0.6M-1.4M, above the estimated acquisition range of EUR 0.8M-1.8M. Its 24-month market value projection is EUR 0.7M-2.4M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Acquisition note: Around 18 months left: some discount usually possible.
Bargain Index: 81
What drives the score. Not a black box: each component and its level.
| Performance | Below average | 32.2th pct among DEF peers (age-neutral) |
| Age | Neutral | 24.1 years |
| Acquisition cost | Favorable | est. €966k vs market €1.5M |
| Expected appreciation | Low | -11% 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 1268 evaluated DEF players with 900+ minutes.
Performance (last season, league)
- Minutes
- 1058 (39% of available)
- Goals + assists / 90
- 0.09
- Context-adjusted G+A / 90
- 0.11
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 32 (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)
- 1290
- Opponent strength
- 1182
- 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)
- €725k – €2.4M
Trajectory drivers: minutes share down 35 pts; role change CM -> LB; relative output down 32% vs positional peers.
Historical comparables (8): median 2-year value change -8% (IQR -31% to +2%).
Risk profile
Overall: Very High
- ▲League level coefficient 0.25 (1.00 = big-five average): output may not translate.
- ⚠Limited sample: 1058 league minutes last season.
- ⚠Projection range wider than for most evaluated players.
- ⚠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
- 11 (DEF)
- Relative output kept
- 108%–176%
- Held a regular role (900+ min)
- 82%
- 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 | LB | 15 | 1058 | 39% | 0 | 1 | 0.09 | 0.11 | 1182 | 1290 | 0.25 |
| 2024/25 | FK Polissya Zhytomyr | Premier Liga | CM | 29 | 1997 | 74% | 4 | 1 | 0.23 | 0.23 | 1206 | 1236 | 0.28 |
| 2023/24 | FK Polissya Zhytomyr | Premier Liga | DM | 25 | 1373 | 51% | 2 | 2 | 0.26 | 0.18 | 1261 | 1265 | 0.34 |
| 2022/23 | PFK Lviv | Premier Liga | CB | 14 | 808 | 30% | 1 | 0 | 0.11 | 0.09 | 1263 | 1029 | 0.38 |
| 2021/22 | PFK Lviv | Premier Liga | CB | 12 | 347 | 21% | 0 | 0 | 0.00 | 0.06 | 1260 | 1197 | 0.45 |
| 2020/21 | PFK Lviv | Premier Liga | DM | 3 | 74 | 3% | 0 | 0 | 0.00 | 0.11 | 1196 | 1220 | 0.49 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Conference League Qualifying | FK Polissya Zhytomyr | 4 | 268 | 0 | 2 | 1321 |
| 2024/25 | Ukrainian Cup | FK Polissya Zhytomyr | 3 | 233 | 1 | 0 | — |
| 2024/25 | Uefa Conference League Qualifying | FK Polissya Zhytomyr | 2 | 146 | 0 | 0 | 1355 |
| 2023/24 | Ukrainian Cup | FK Polissya Zhytomyr | 4 | 244 | 0 | 0 | — |
| 2021/22 | Ukrainian Cup | PFK Lviv | 2 | 28 | 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 |
|---|---|---|---|---|
| Hüseyin Türkmen Super Lig · 2021 | 23 | €1.4M | €900k | fell |
| Bogdan Mykhaylichenko Premier Liga · 2024 | 27 | €2.5M | €2.5M | flat |
| Toby Sibbick Scottish Premiership · 2024 | 25 | €650k | €550k | flat |
| Nazım Sangaré Super Lig · 2021 | 27 | €2.5M | €500k | fell |
| Montassar Talbi Super Lig · 2021 | 23 | €950k | €8.0M | rose |
| Marco Lund Superliga · 2021 | 25 | €700k | €700k | flat |
| Sherel Floranus Super Lig · 2022 | 24 | €1.0M | €700k | fell |
| Sigurd Rosted Superliga · 2020 | 26 | €1.2M | €1.3M | flat |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 6 Jan 2023 | PFC Lviv | Polissya | €100k | €300k |
| 1 Jul 2021 | PFC Lviv II | PFC Lviv | Unknown | €100k |
| 1 Aug 2020 | PFC Lviv U19 | PFC Lviv II | Unknown | Data unavailable |
| 1 Jul 2019 | PFC Lviv U17 | PFC Lviv 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.