
Mykola Matvienko
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Mykola Matvienko's performance-implied value at EUR 1.7M-6.0M, below the estimated acquisition range of EUR 5.7M-11.3M. Its 24-month market value projection is EUR 3.2M-6.5M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Acquisition note: Around 18 months left: some discount usually possible.
Bargain Index: 5
What drives the score. Not a black box: each component and its level.
| Performance | Above average | 67th pct among DEF peers (age-neutral) |
| Age | Unfavorable | 30.2 years |
| Acquisition cost | Very favorable | est. €7.0M vs market €12.0M |
| Expected appreciation | Very low | -66% over ~2 years (model) |
| Value gap | Very negative | 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
- 1912 (71% of available)
- Goals + assists / 90
- 0.05
- Context-adjusted G+A / 90
- 0.03
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 67 (Above 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)
- 1420
- Opponent strength
- 1139
- 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)
- €3.2M – €6.5M
Trajectory drivers: relative output down 76% vs positional peers.
Historical comparables (8): median 2-year value change -15% (IQR -32% to -8%).
Risk profile
Overall: High
- ▲League level coefficient 0.25 (1.00 = big-five average): output may not translate.
- ⚠Age 30: resale value typically declines.
- ⚠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 | FC Shakhtar Donetsk | Premier Liga | CB | 27 | 1912 | 71% | 0 | 1 | 0.05 | 0.03 | 1139 | 1420 | 0.25 |
| 2024/25 | FC Shakhtar Donetsk | Premier Liga | CB | 22 | 1953 | 72% | 3 | 3 | 0.28 | 0.12 | 1202 | 1414 | 0.28 |
| 2023/24 | FC Shakhtar Donetsk | Premier Liga | CB | 23 | 2070 | 77% | 3 | 0 | 0.13 | 0.06 | 1249 | 1497 | 0.34 |
| 2022/23 | FC Shakhtar Donetsk | Premier Liga | CB | 28 | 2458 | 91% | 2 | 3 | 0.18 | 0.07 | 1263 | 1546 | 0.38 |
| 2021/22 | FC Shakhtar Donetsk | Premier Liga | CB | 14 | 1108 | 68% | 1 | 1 | 0.16 | 0.08 | 1278 | 1568 | 0.45 |
| 2020/21 | FC Shakhtar Donetsk | Premier Liga | CB | 20 | 1719 | 73% | 1 | 2 | 0.16 | 0.08 | 1297 | 1551 | 0.49 |
| 2019/20 | FC Shakhtar Donetsk | Premier Liga | CB | 17 | 1410 | 71% | 1 | 1 | 0.13 | 0.07 | 1333 | 1619 | 0.54 |
| 2018/19 | FC Shakhtar Donetsk | Premier Liga | CB | 11 | 816 | 41% | 2 | 0 | 0.22 | 0.07 | 1304 | 1625 | 0.57 |
| 2017/18 | Vorskla Poltava | Premier Liga | LB | 16 | 1440 | 73% | 0 | 0 | 0.00 | 0.06 | 1302 | 1407 | 0.62 |
| 2017/18 | FC Shakhtar Donetsk | Premier Liga | CB | 2 | 112 | 6% | 0 | 0 | 0.00 | 0.03 | 1236 | 1676 | 0.62 |
| 2016/17 | Karpaty Lviv (-2021) | Premier Liga | LM | 14 | 1247 | 43% | 1 | 1 | 0.14 | 0.21 | 1292 | 1257 | 0.56 |
| 2015/16 | FC Shakhtar Donetsk | Premier Liga | CB | 2 | 169 | 7% | 0 | 0 | 0.00 | 0.04 | 1318 | 1609 | 0.54 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Europa League Qualifying | FC Shakhtar Donetsk | 5 | 480 | 0 | 0 | 1346 |
| 2025/26 | Uefa Conference League Qualifying | FC Shakhtar Donetsk | 2 | 210 | 0 | 0 | 1315 |
| 2025/26 | Ukrainian Cup | FC Shakhtar Donetsk | 1 | 90 | 0 | 0 | — |
| 2024/25 | Uefa Champions League | FC Shakhtar Donetsk | 8 | 720 | 0 | 0 | 1633 |
| 2024/25 | Ukrainian Cup | FC Shakhtar Donetsk | 3 | 340 | 0 | 0 | — |
| 2023/24 | Uefa Champions League | FC Shakhtar Donetsk | 5 | 450 | 1 | 0 | 1635 |
| 2023/24 | Uefa Europa League | FC Shakhtar Donetsk | 2 | 180 | 1 | 0 | 1543 |
| 2023/24 | Ukrainian Cup | FC Shakhtar Donetsk | 2 | 180 | 0 | 1 | — |
| 2022/23 | Uefa Champions League | FC Shakhtar Donetsk | 6 | 540 | 0 | 0 | 1697 |
| 2022/23 | Uefa Europa League | FC Shakhtar Donetsk | 4 | 390 | 0 | 1 | 1579 |
| 2021/22 | Uefa Champions League | FC Shakhtar Donetsk | 4 | 360 | 0 | 0 | 1681 |
| 2021/22 | Uefa Champions League Qualifying | FC Shakhtar Donetsk | 4 | 290 | 0 | 0 | 1463 |
| 2020/21 | Uefa Europa League | FC Shakhtar Donetsk | 4 | 360 | 0 | 1 | 1539 |
| 2020/21 | Uefa Champions League | FC Shakhtar Donetsk | 4 | 298 | 0 | 0 | 1701 |
| 2019/20 | Uefa Europa League | FC Shakhtar Donetsk | 6 | 540 | 0 | 0 | 1641 |
| 2019/20 | Uefa Champions League | FC Shakhtar Donetsk | 6 | 536 | 0 | 0 | 1697 |
| 2019/20 | Ukrainian Cup | FC Shakhtar Donetsk | 1 | 120 | 0 | 0 | — |
| 2018/19 | Uefa Champions League | FC Shakhtar Donetsk | 5 | 450 | 0 | 0 | 1720 |
| 2018/19 | Ukrainian Cup | FC Shakhtar Donetsk | 3 | 270 | 0 | 0 | — |
| 2018/19 | Uefa Europa League | FC Shakhtar Donetsk | 1 | 90 | 0 | 1 | 1603 |
| 2017/18 | Ukrainian Cup | Vorskla Poltava | 3 | 300 | 0 | 0 | — |
| 2017/18 | Ukrainian Cup | FC Shakhtar Donetsk | 1 | 90 | 0 | 1 | — |
| 2016/17 | Uefa Europa League | FC Shakhtar Donetsk | 2 | 180 | 0 | 1 | 1443 |
| 2016/17 | Ukrainian Cup | FC Shakhtar Donetsk | 1 | 90 | 0 | 0 | — |
| 2015/16 | Ukrainian Cup | FC Shakhtar Donetsk | 4 | 226 | 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 |
|---|---|---|---|---|
| Rúben Semedo Super League 1 · 2021 | 27 | €8.0M | €3.2M | fell |
| Ben Davies Scottish Premiership · 2023 | 28 | €3.5M | €2.5M | fell |
| Kenny Lala Super League 1 · 2022 | 31 | €3.0M | €3.0M | flat |
| Oleksandr Tymchyk Premier Liga · 2024 | 27 | €4.0M | €3.5M | flat |
| Min-jae Kim Super Lig · 2022 | 26 | €14.0M | €45.0M | rose |
| Vitor Hugo Super Lig · 2021 | 30 | €5.5M | €4.5M | flat |
| Moisés Premier Liga · 2024 | 29 | €4.5M | €4.0M | flat |
| Jack Hendry Jupiler Pro League · 2022 | 27 | €5.0M | €3.0M | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 31 Dec 2017 | Vorskla Poltava | Shakhtar D. | Free / loan | €800k |
| 3 Jul 2017 | Shakhtar D. | Vorskla Poltava | Free / loan | €800k |
| 1 Jul 2017 | Shakhtar II | Shakhtar D. | Unknown | €800k |
| 30 Jun 2017 | Karpaty Lviv | Shakhtar II | Free / loan | €800k |
| 20 Feb 2017 | Shakhtar II | Karpaty Lviv | Free / loan | €300k |
| 1 Jul 2015 | Shakhtar U19 | Shakhtar 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.