Maksym Chekh
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Maksym Chekh's performance-implied value at EUR 0.3M-0.6M, above the estimated acquisition range of EUR 0.1M-0.5M. Its 24-month market value projection is EUR 0.2M-0.5M. Context-adjusted goal contributions are 1.06x the positional average in the league (1741 minutes, league coefficient 0.25). Confidence is medium: 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: 89
What drives the score. Not a black box: each component and its level.
| Performance | Below average | 4.3th pct among MID peers (age-neutral) |
| Age | Neutral | 27.5 years |
| Acquisition cost | Very favorable | est. €217k vs market €400k |
| Expected appreciation | Low | -15% 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 1163 evaluated MID players with 900+ minutes.
Performance (last season, league)
- Minutes
- 1741 (65% of available)
- Goals + assists / 90
- 0.10
- Context-adjusted G+A / 90
- 0.13
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 4 (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)
- 1070
- Opponent strength
- 1165
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Low
- Trajectory
- insufficient
- Breakout probability
- Age > 23
- Resale range (24m)
- €230k – €494k
Historical comparables (8): median 2-year value change -29% (IQR -43% to -9%).
Risk profile
Overall: High
- ▲League level coefficient 0.25 (1.00 = big-five average): output may not translate.
- ⚠Limited sample: 1741 league minutes last season.
- ⚠No continental-competition minutes last season.
- ⓘ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
- 37 (all positions)
- Relative output kept
- 87%–128%
- Held a regular role (900+ min)
- 86%
- Confidence
- Medium
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 | Obolon Kyiv | Premier Liga | DM | 22 | 1741 | 64% | 1 | 1 | 0.10 | 0.13 | 1165 | 1070 | 0.25 |
| 2021/22 | FK Mariupol | Premier Liga | DM | 11 | 940 | 58% | 0 | 0 | 0.00 | 0.07 | 1303 | 1139 | 0.45 |
| 2020/21 | FK Mariupol | Premier Liga | DM | 22 | 1502 | 64% | 0 | 0 | 0.00 | 0.05 | 1278 | 1222 | 0.49 |
| 2019/20 | FK Mariupol | Premier Liga | DM | 15 | 984 | 50% | 0 | 0 | 0.00 | 0.08 | 1348 | 1267 | 0.54 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Ukrainian Cup | Obolon Kyiv | 1 | 21 | 0 | 0 | — |
| 2021/22 | Ukrainian Cup | FK Mariupol | 2 | 117 | 0 | 0 | — |
| 2020/21 | Ukrainian Cup | FK Mariupol | 1 | 90 | 0 | 0 | — |
| 2019/20 | Ukrainian Cup | FK Mariupol | 2 | 150 | 0 | 0 | — |
| 2019/20 | Uefa Europa League Qualifying | FK Mariupol | 1 | 63 | 0 | 0 | 1476 |
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 |
|---|---|---|---|---|
| Orest Kuzyk Premier Liga · 2024 | 29 | €500k | €250k | fell |
| Jon Sporn Premier Liga · 2024 | 27 | €600k | €400k | fell |
| Connor Randall Scottish Premiership · 2024 | 29 | €450k | €175k | fell |
| Vykintas Slivka Super League 1 · 2023 | 28 | €400k | €500k | rose |
| Stephen Hammond Super League 1 · 2023 | 27 | €350k | €300k | flat |
| Oleg Ilyin Premier Liga · 2024 | 27 | €500k | €300k | fell |
| Cristopher Núñez Super League 1 · 2023 | 26 | €450k | €500k | flat |
| Steliano Filip Super League 1 · 2021 | 27 | €400k | €300k | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 18 Jul 2025 | Karpaty Lviv | Obolon | Free / loan | €100k |
| 7 Aug 2023 | Shakhtar D. | Karpaty Lviv | Free / loan | €300k |
| 30 Jun 2023 | FK Sabail | Shakhtar D. | Free / loan | €300k |
| 12 Aug 2022 | Shakhtar D. | FK Sabail | Free / loan | €500k |
| 1 Jul 2022 | Shakhtar II | Shakhtar D. | Unknown | €500k |
| 30 Jun 2022 | FC Mariupol | Shakhtar II | Free / loan | €500k |
| 1 Jul 2019 | Shakhtar II | FC Mariupol | Free / loan | €50k |
| 1 Jul 2018 | Shakhtar U19 | Shakhtar II | Unknown | Data unavailable |
| 1 Aug 2015 | Shakhtar U17 | Shakhtar 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.