Yegor Yarmolyuk
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Yegor Yarmolyuk's performance-implied value at EUR 33.2M-50.2M, above the estimated acquisition range of EUR 25.3M-47.4M. Its 24-month market value projection is EUR 22.4M-50.3M. Context-adjusted goal contributions are 0.67x the positional average in the league (2667 minutes, league coefficient 1.30). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 52
What drives the score. Not a black box: each component and its level.
| Performance | Elite | 92th pct among MID peers (age-neutral) |
| Age | Favorable | 22.3 years |
| Acquisition cost | Neutral | est. €34.9M vs market €32.0M |
| Expected appreciation | High | +11% over ~2 years (model) |
| Value gap | Small | weak predictor on its own |
| Development | High | breakout probability 9% |
| League translation | Big-five league | league coefficient 1.3 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | Low | |
| 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
- 2667 (78% of available)
- Goals + assists / 90
- 0.10
- Context-adjusted G+A / 90
- 0.08
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 92 (Elite)
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
- 1.30 (rank 1)
- Team strength (Elo)
- 1612
- Opponent strength
- 1603
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- High
- Trajectory
- improving
- Breakout probability
- 9%
- Resale range (24m)
- €22.4M – €50.3M
Trajectory drivers: minutes share up 36 pts; role change CM -> DM; relative output up 62% vs positional peers.
Historical comparables (8): median 2-year value change +22% (IQR +2% to +38%).
Risk profile
Overall: Low
- ⓘ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).
Already playing in a big-five league.
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 | Brentford FC | Premier League | DM | 37 | 2667 | 78% | 1 | 2 | 0.10 | 0.08 | 1603 | 1612 | 1.30 |
| 2024/25 | Brentford FC | Premier League | CM | 31 | 1443 | 42% | 0 | 0 | 0.00 | 0.09 | 1598 | 1583 | 1.23 |
| 2023/24 | Brentford FC | Premier League | AM | 27 | 674 | 20% | 0 | 0 | 0.00 | 0.21 | 1562 | 1500 | 1.14 |
| 2021/22 | SC Dnipro-1 | Premier Liga | AM | 7 | 126 | 8% | 0 | 0 | 0.00 | 0.51 | 1402 | 1365 | 0.45 |
| 2020/21 | SC Dnipro-1 | Premier Liga | AM | 9 | 280 | 12% | 0 | 0 | 0.00 | 0.35 | 1383 | 1283 | 0.49 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Fa Cup | Brentford FC | 2 | 153 | 0 | 0 | — |
| 2024/25 | Fa Cup | Brentford FC | 1 | 63 | 0 | 0 | — |
| 2023/24 | Fa Cup | Brentford FC | 2 | 47 | 0 | 0 | — |
| 2021/22 | Ukrainian Cup | SC Dnipro-1 | 2 | 86 | 1 | 0 | — |
| 2020/21 | Ukrainian Cup | SC Dnipro-1 | 1 | 17 | 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 |
|---|---|---|---|---|
| Declan Rice Premier League · 2019 | 20 | €45.0M | €65.0M | rose |
| Martin Ødegaard Premier League · 2022 | 24 | €45.0M | €110M | rose |
| Igor Zubeldia Laliga · 2019 | 22 | €30.0M | €20.0M | fell |
| Leander Dendoncker Premier League · 2020 | 25 | €22.5M | €28.0M | rose |
| Sean Longstaff Premier League · 2023 | 26 | €25.0M | €20.0M | fell |
| Amadou Onana Premier League · 2023 | 22 | €45.0M | €50.0M | flat |
| Joe Willock Premier League · 2022 | 23 | €22.0M | €30.0M | rose |
| Moisés Caicedo Premier League · 2023 | 22 | €75.0M | €90.0M | rose |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 1 Jul 2023 | Brentford B | Brentford | Unknown | €400k |
| 14 Jul 2022 | SC Dnipro-1 | Brentford B | €1.5M | €400k |
| 1 Aug 2020 | SK Dnipro-1 II | SC Dnipro-1 | Unknown | Data unavailable |
| 1 Jul 2019 | SC Dnipro-1 U19 | SK Dnipro-1 II | 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.