David Semenchuk
Value picture
Where the market, the likely price and the model estimates sit.
The model rates David Semenchuk's performance-implied value at EUR 0.4M-1.3M, below the estimated acquisition range of EUR 0.5M-2.4M. Its 24-month market value projection is EUR 0.5M-2.7M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 60
What drives the score. Not a black box: each component and its level.
| Performance | Below average | 21.3th pct among DEF peers (age-neutral) |
| Age | Favorable | 21.7 years |
| Acquisition cost | Unfavorable | est. €1.0M vs market €900k |
| Expected appreciation | High | +28% over ~2 years (model) |
| Value gap | Very negative | weak predictor on its own |
| Development | High | breakout probability 29% |
| League translation | Moderate | league coefficient 0.56 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | Very 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
- 1293 (48% of available)
- Goals + assists / 90
- 0.00
- Context-adjusted G+A / 90
- 0.03
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 21 (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
- 0.56 (rank 10)
- Team strength (Elo)
- 1301
- Opponent strength
- 1320
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- High
- Trajectory
- insufficient
- Breakout probability
- 29%
- Resale range (24m)
- €527k – €2.7M
Historical comparables (8): median 2-year value change +12% (IQR -33% to +87%).
Risk profile
Overall: Very High
- ▲Projection range among the widest 10% of evaluated players.
- ⚠Limited sample: 1293 league minutes last season.
- ⚠League level coefficient 0.56 (1.00 = big-five average): output may not translate.
- ⚠No continental-competition minutes last season.
- ⚠League level estimated mainly from squad values (few matches vs other leagues).
- ⓘ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
- 25 (DEF)
- Relative output kept
- 48%–200%
- Held a regular role (900+ min)
- 72%
- 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 | FK Rostov | Premier Liga | CB | 20 | 1293 | 48% | 0 | 0 | 0.00 | 0.03 | 1320 | 1301 | 0.56 |
| 2023/24 | FK Rostov | Premier Liga | CB | 3 | 38 | 1% | 0 | 0 | 0.00 | 0.06 | 1284 | 1317 | 0.49 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Russian Cup | FK Rostov | 8 | 562 | 0 | 2 | — |
| 2024/25 | Russian Cup | FK Rostov | 1 | 80 | 0 | 0 | — |
| 2023/24 | Russian Cup | FK Rostov | 6 | 432 | 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 |
|---|---|---|---|---|
| Sheldon Bateau Jupiler Pro League · 2013 | 22 | €1.0M | €1.0M | flat |
| Aílton Liga Portugal · 2017 | 22 | €800k | €1.0M | rose |
| Ilya Agapov Premier Liga · 2023 | 22 | €1.0M | €1.5M | rose |
| Nikita Kalugin Premier Liga · 2020 | 22 | €900k | €550k | fell |
| Danila Khotulev Premier Liga · 2023 | 21 | €600k | €400k | fell |
| Oleksandr Nasonov Premier Liga · 2015 | 23 | €600k | €400k | fell |
| Ameen Al-Dakhil Jupiler Pro League · 2022 | 20 | €1.2M | €12.0M | rose |
| Calvin Verdonk Eredivisie · 2017 | 20 | €550k | €2.0M | 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 2025 | Arsenal Tula | Rostov | Free / loan | €300k |
| 7 Aug 2024 | FC Rostov 2 | Arsenal Tula | €55k | €100k |
| 25 Jan 2024 | Rostov II | FC Rostov 2 | Unknown | €100k |
| 1 Jul 2022 | Akademia Rostov | Rostov II | Unknown | Data unavailable |
| 1 Jul 2021 | FC Rostov U16 | Akademia Rostov | Unknown | Data unavailable |
| 16 Jul 2020 | FShM U16 | FC Rostov U16 | 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.