Artem Gromov
36 yrs · Left winger (also AM, LM, RM, ST) · Ukraine
SC Dnipro-1 · Premier Liga · Foot: right · Height: 178 cm
Contract: Data unavailable
No model evaluation for this player. MoneyballAI evaluates players with at least 450 league minutes last season in leagues where match-level player data is available from the current free source (14 European top divisions). Market value and transfer history are still shown below.
Market value
€250k
Updated 7 days ago
Estimated acquisition
—
Estimated · 20–80% range
Model value
—
Performance-implied · estimated
Projected (24m)
—
Resale range · estimated
Potential value gap
—
Model value − acquisition
Market value history
Market value ≠ transfer fee ≠ acquisition cost.
Highest recorded: €1.8M
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. |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022/23 | SC Dnipro-1 | Premier Liga | LW | 9 | 315 | 12% | 1 | 2 | 0.86 | 0.53 | 1315 | 1398 | 0.38 |
| 2021/22 | Zorya Lugansk | Premier Liga | LW | 14 | 1012 | 62% | 1 | 3 | 0.36 | 0.30 | 1310 | 1426 | 0.45 |
| 2020/21 | Zorya Lugansk | Premier Liga | ST | 16 | 1137 | 49% | 6 | 0 | 0.47 | 0.39 | 1287 | 1450 | 0.49 |
| 2019/20 | Zorya Lugansk | Premier Liga | ST | 12 | 761 | 38% | 1 | 1 | 0.24 | 0.38 | 1392 | 1463 | 0.54 |
| 2018/19 | Zorya Lugansk | Premier Liga | LW | 16 | 1155 | 58% | 4 | 2 | 0.47 | 0.43 | 1355 | 1429 | 0.57 |
| 2017/18 | Zorya Lugansk | Premier Liga | LW | 17 | 1454 | 73% | 6 | 8 | 0.87 | 0.67 | 1349 | 1423 | 0.62 |
| 2016/17 | Dynamo Kyiv | Premier Liga | LW | 9 | 435 | 15% | 0 | 3 | 0.62 | 0.34 | 1289 | 1566 | 0.56 |
| 2016/17 | PFK Krylya Sovetov Samara | Premier Liga | ST | 3 | 177 | 7% | 0 | 0 | 0.00 | 0.77 | 1552 | 1313 | 0.70 |
| 2015/16 | Vorskla Poltava | Premier Liga | AM | 19 | 1561 | 67% | 3 | 1 | 0.23 | 0.32 | 1335 | 1397 | 0.54 |
| 2014/15 | Vorskla Poltava | Premier Liga | LM | 24 | 2133 | 91% | 7 | 3 | 0.42 | 0.37 | 1374 | 1370 | 0.54 |
| 2013/14 | Vorskla Poltava | Premier Liga | RM | 25 | 1618 | 62% | 6 | 4 | 0.56 | 0.46 | 1366 | 1343 | 0.63 |
| 2012/13 | Vorskla Poltava | Premier Liga | LW | 26 | 1864 | 69% | 7 | 2 | 0.43 | 0.54 | 1403 | 1335 | 0.70 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2022/23 | Uefa Europa League Qualifying | SC Dnipro-1 | 2 | 114 | 0 | 0 | 1473 |
| 2021/22 | Uefa Europa League Qualifying | Zorya Lugansk | 2 | 154 | 0 | 0 | 1462 |
| 2020/21 | Uefa Europa League | Zorya Lugansk | 4 | 299 | 1 | 0 | 1530 |
| 2020/21 | Ukrainian Cup | Zorya Lugansk | 3 | 182 | 0 | 0 | — |
| 2019/20 | Uefa Europa League Qualifying | Zorya Lugansk | 4 | 289 | 3 | 0 | 1444 |
| 2019/20 | Ukrainian Cup | Zorya Lugansk | 1 | 91 | 0 | 0 | — |
| 2018/19 | Ukrainian Cup | Zorya Lugansk | 2 | 137 | 1 | 0 | — |
| 2017/18 | Uefa Europa League | Zorya Lugansk | 6 | 328 | 0 | 0 | 1520 |
| 2017/18 | Ukrainian Cup | Zorya Lugansk | 1 | 77 | 0 | 1 | — |
| 2016/17 | Ukrainian Cup | Dynamo Kyiv | 1 | 49 | 0 | 0 | — |
| 2016/17 | Uefa Champions League | Dynamo Kyiv | 1 | 3 | 0 | 0 | 1726 |
| 2015/16 | Ukrainian Cup | Vorskla Poltava | 3 | 300 | 0 | 0 | — |
| 2015/16 | Uefa Europa League Qualifying | Vorskla Poltava | 1 | 77 | 0 | 0 | 1442 |
| 2014/15 | Ukrainian Cup | Vorskla Poltava | 5 | 324 | 2 | 2 | — |
| 2013/14 | Ukrainian Cup | Vorskla Poltava | 2 | 136 | 0 | 0 | — |
| 2012/13 | Ukrainian Cup | Vorskla Poltava | 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.
No comparables computed for this player.
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| No transfers recorded. | ||||
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.