Vasyl Runich
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Vasyl Runich's performance-implied value at EUR 0.2M-0.3M, above the estimated acquisition range of EUR 0.1M-0.4M. Its 24-month market value projection is EUR 0.2M-0.5M. Context-adjusted goal contributions are 0.85x the positional average in the league (808 minutes, league coefficient 0.25). Confidence is low: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Acquisition note: Contract end date unavailable: range widened by 15% each side.
Bargain Index: not assigned
What drives the score. Not a black box: each component and its level.
Insufficient sample (< 900 league minutes)
| Performance | Below average | 0.1th pct among ATT peers (age-neutral) |
| Age | Neutral | 26.4 years |
| Acquisition cost | Very favorable | est. €233k vs market €400k |
| 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 | Low |
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 901 evaluated ATT players with 900+ minutes.
Performance (last season, league)
- Minutes
- 808 (30% of available)
- Goals + assists / 90
- 0.22
- Context-adjusted G+A / 90
- 0.33
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 0 (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)
- 1039
- Opponent strength
- 1145
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Low
- Trajectory
- stable
- Breakout probability
- Age > 23
- Resale range (24m)
- €206k – €464k
Trajectory drivers: team strength down (-160 Elo); role change LW -> RW; relative output up 31% vs positional peers.
Historical comparables (8): median 2-year value change +0% (IQR -24% to +0%).
Risk profile
Overall: Very High
- ▲Small sample: 808 league minutes last season.
- ▲League level coefficient 0.25 (1.00 = big-five average): output may not translate.
- ⚠No continental-competition minutes last season.
- ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
- ⓘContract end date unavailable (or stale in source).
- ⓘ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 | Rukh Lviv | Premier Liga | RW | 21 | 808 | 30% | 0 | 2 | 0.22 | 0.33 | 1145 | 1039 | 0.25 |
| 2024/25 | Rukh Lviv | Premier Liga | LW | 21 | 860 | 32% | 1 | 0 | 0.10 | 0.27 | 1197 | 1199 | 0.28 |
| 2023/24 | Rukh Lviv | Premier Liga | LW | 29 | 1018 | 38% | 4 | 0 | 0.35 | 0.39 | 1256 | 1265 | 0.34 |
| 2022/23 | Rukh Lviv | Premier Liga | LW | 19 | 681 | 25% | 2 | 1 | 0.40 | 0.58 | 1325 | 1218 | 0.38 |
| 2021/22 | Rukh Lviv | Premier Liga | RW | 9 | 287 | 19% | 0 | 0 | 0.00 | 0.39 | 1294 | 1235 | 0.45 |
| 2020/21 | Rukh Lviv | Premier Liga | LW | 6 | 149 | 6% | 1 | 0 | 0.60 | 0.54 | 1195 | 1231 | 0.49 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Ukrainian Cup | Rukh Lviv | 3 | 84 | 0 | 0 | — |
| 2024/25 | Ukrainian Cup | Rukh Lviv | 1 | 1 | 0 | 0 | — |
| 2023/24 | Ukrainian Cup | Rukh Lviv | 1 | 45 | 0 | 0 | — |
| 2021/22 | Ukrainian Cup | Rukh Lviv | 2 | 76 | 0 | 1 | — |
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 |
|---|---|---|---|---|
| Dan MacKay Scottish Premiership · 2024 | 23 | €300k | €300k | flat |
| Felipe Rodrigues Premier Liga · 2024 | 29 | €400k | €400k | flat |
| Chris Kane Scottish Premiership · 2024 | 30 | €350k | €350k | flat |
| Jonah Ayunga Scottish Premiership · 2024 | 27 | €450k | €350k | fell |
| Rangel Premier Liga · 2024 | 30 | €300k | €300k | flat |
| Diallang Jaiyesimi Scottish Premiership · 2024 | 26 | €225k | €225k | flat |
| Dorin Rotariu Super League 1 · 2022 | 27 | €500k | €350k | fell |
| Oliver Thychosen Superliga · 2020 | 27 | €300k | €100k | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 1 Jul 2021 | Rukh Lviv II | Rukh Lviv | Unknown | €100k |
| 8 Oct 2020 | Karpaty | Rukh Lviv II | Free / loan | Data unavailable |
| 1 Aug 2020 | Karpaty II | Karpaty | Unknown | Data unavailable |
| 1 Jul 2019 | Karpaty U19 | Karpaty II | Unknown | Data unavailable |
| 1 Jul 2017 | 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.