
Oleksiy Sych
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Oleksiy Sych's performance-implied value at EUR 0.4M-0.9M, above the estimated acquisition range of EUR 0.2M-0.7M. Its 24-month market value projection is EUR 0.3M-1.0M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 87
What drives the score. Not a black box: each component and its level.
| Performance | Below average | 18.1th pct among DEF peers (age-neutral) |
| Age | Neutral | 25.2 years |
| Acquisition cost | Very favorable | est. €380k vs market €700k |
| Expected appreciation | Low | -17% over ~2 years (model) |
| Value gap | 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 1268 evaluated DEF players with 900+ minutes.
Performance (last season, league)
- Minutes
- 1193 (44% of available)
- Goals + assists / 90
- 0.00
- Context-adjusted G+A / 90
- 0.06
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 18 (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)
- 1213
- Opponent strength
- 1188
- 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)
- €336k – €1.0M
Trajectory drivers: minutes share down 20 pts; changed club; relative output down 69% vs positional peers.
Historical comparables (8): median 2-year value change -8% (IQR -59% to +36%).
Risk profile
Overall: High
- ▲League level coefficient 0.25 (1.00 = big-five average): output may not translate.
- ⚠Limited sample: 1193 league minutes last season.
- ⚠No continental-competition minutes last season.
- ⚠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 | Karpaty Lviv | Premier Liga | RB | 18 | 1193 | 44% | 0 | 0 | 0.00 | 0.06 | 1188 | 1213 | 0.25 |
| 2024/25 | Rukh Lviv | Premier Liga | RB | 16 | 1368 | 51% | 0 | 4 | 0.26 | 0.21 | 1197 | 1199 | 0.28 |
| 2024/25 | Karpaty Lviv | Premier Liga | RB | 4 | 360 | 13% | 0 | 0 | 0.00 | 0.14 | 1278 | 1185 | 0.28 |
| 2023/24 | Rukh Lviv | Premier Liga | RB | 30 | 2687 | 100% | 1 | 2 | 0.10 | 0.11 | 1265 | 1265 | 0.34 |
| 2022/23 | KV Kortrijk | Jupiler Pro League | RB | 14 | 1206 | 39% | 1 | 1 | 0.15 | 0.15 | 1356 | 1209 | 0.58 |
| 2022/23 | Rukh Lviv | Premier Liga | RB | 3 | 270 | 10% | 0 | 0 | 0.00 | 0.14 | 1340 | 1218 | 0.38 |
| 2021/22 | Rukh Lviv | Premier Liga | RB | 12 | 775 | 51% | 0 | 0 | 0.00 | 0.06 | 1278 | 1235 | 0.45 |
| 2020/21 | Rukh Lviv | Premier Liga | DM | 2 | 67 | 3% | 0 | 0 | 0.00 | 0.20 | 1427 | 1231 | 0.49 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2024/25 | Ukrainian Cup | Rukh Lviv | 1 | 90 | 0 | 0 | — |
| 2021/22 | Ukrainian Cup | Rukh Lviv | 1 | 42 | 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 |
|---|---|---|---|---|
| Mykyta Kravchenko Premier Liga · 2023 | 26 | €600k | €1.2M | rose |
| Toby Sibbick Scottish Premiership · 2024 | 25 | €650k | €550k | flat |
| Oleksandr Martynyuk Premier Liga · 2024 | 23 | €500k | €1.5M | rose |
| Danylo Beskorovaynyi Premier Liga · 2023 | 24 | €500k | €600k | rose |
| Oleksandr Kapliyenko Premier Liga · 2024 | 28 | €500k | €200k | fell |
| Stefanos Stroungis Super League 1 · 2023 | 26 | €400k | €400k | flat |
| Marijan Cabraja Scottish Premiership · 2023 | 26 | €600k | €250k | fell |
| Vasyl Kravets Premier Liga · 2024 | 27 | €1.0M | €300k | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 20 Jan 2025 | Rukh Lviv | Karpaty Lviv | €1.0M | €1.0M |
| 30 Jun 2023 | KV Kortrijk | Rukh Lviv | Free / loan | €600k |
| 6 Sept 2022 | Rukh Lviv | KV Kortrijk | Free / loan | €400k |
| 1 Jul 2021 | Rukh Lviv II | Rukh Lviv | Unknown | €100k |
| 31 Dec 2020 | Karpaty Galych | Rukh Lviv II | Free / loan | Data unavailable |
| 6 Oct 2020 | Rukh Lviv II | Karpaty Galych | Free / loan | Data unavailable |
| 5 Oct 2020 | Karpaty | Rukh Lviv II | Free / loan | Data unavailable |
| 1 Aug 2020 | Karpaty II | Karpaty | Unknown | Data unavailable |
| 1 Jan 2020 | Karpaty U19 | Karpaty II | Unknown | Data unavailable |
| 1 Aug 2019 | UFK Lviv | Karpaty 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.