Maksim Vityugov
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Maksim Vityugov's performance-implied value at EUR 0.4M-0.9M, above the estimated acquisition range of EUR 0.2M-0.8M. Its 24-month market value projection is EUR 0.4M-0.9M. Context-adjusted goal contributions are 2.81x the positional average in the league (878 minutes, league coefficient 0.56). Confidence is low: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Acquisition note: Final year of contract: selling club's leverage is reduced.
Bargain Index: not assigned
What drives the score. Not a black box: each component and its level.
Insufficient sample (< 900 league minutes)
| Performance | Below average | 16.8th pct among MID peers (age-neutral) |
| Age | Unfavorable | 28.4 years |
| Acquisition cost | Very favorable | est. €330k vs market €1.0M |
| Expected appreciation | Very low | -33% over ~2 years (model) |
| Value gap | Large | weak predictor on its own |
| Development | Low | |
| 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 | Low |
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 1164 evaluated MID players with 900+ minutes.
Performance (last season, league)
- Minutes
- 878 (33% of available)
- Goals + assists / 90
- 0.51
- Context-adjusted G+A / 90
- 0.35
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 17 (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)
- 1262
- Opponent strength
- 1365
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Low
- Trajectory
- improving
- Breakout probability
- Age > 23
- Resale range (24m)
- €416k – €905k
Trajectory drivers: relative output up 293% vs positional peers.
Historical comparables (8): median 2-year value change -33% (IQR -42% to +2%).
Risk profile
Overall: Very High
- ▲Small sample: 878 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).
- ⚠Contract ends in 12 months: cheaper, but competition and wage demands likely.
- ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
- ⓘ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
- 18 (MID)
- Relative output kept
- 54%–153%
- Held a regular role (900+ min)
- 56%
- 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 | PFK Krylya Sovetov Samara | Premier Liga | DM | 18 | 878 | 33% | 3 | 2 | 0.51 | 0.35 | 1365 | 1262 | 0.56 |
| 2024/25 | PFK Krylya Sovetov Samara | Premier Liga | DM | 10 | 591 | 22% | 0 | 0 | 0.00 | 0.09 | 1313 | 1257 | 0.55 |
| 2023/24 | PFK Krylya Sovetov Samara | Premier Liga | DM | 22 | 1453 | 54% | 0 | 1 | 0.06 | 0.08 | 1328 | 1257 | 0.49 |
| 2022/23 | PFK Krylya Sovetov Samara | Premier Liga | DM | 28 | 1612 | 60% | 0 | 1 | 0.06 | 0.07 | 1305 | 1270 | 0.53 |
| 2021/22 | PFK Krylya Sovetov Samara | Premier Liga | DM | 21 | 654 | 24% | 0 | 0 | 0.00 | 0.06 | 1321 | 1289 | 0.52 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Russian Cup | PFK Krylya Sovetov Samara | 6 | 376 | 0 | 1 | — |
| 2024/25 | Russian Cup | PFK Krylya Sovetov Samara | 4 | 262 | 0 | 0 | — |
| 2023/24 | Russian Cup | PFK Krylya Sovetov Samara | 5 | 273 | 0 | 0 | — |
| 2022/23 | Russian Cup | PFK Krylya Sovetov Samara | 8 | 395 | 0 | 0 | — |
| 2021/22 | Russian Cup | PFK Krylya Sovetov Samara | 2 | 135 | 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 |
|---|---|---|---|---|
| Seba Pérez Liga Portugal · 2021 | 28 | €600k | €2.0M | rose |
| Evariste Ngolok Jupiler Pro League · 2016 | 28 | €1.0M | €300k | fell |
| Anel Hadzic Super Lig · 2016 | 27 | €1.0M | €750k | fell |
| Darren Ambrose Super League 1 · 2014 | 30 | €500k | €300k | fell |
| Filip Mrzljak Premier Liga · 2021 | 28 | €900k | €500k | fell |
| Kento Misao Jupiler Pro League · 2024 | 28 | €750k | €800k | flat |
| Bakary Bouba Saré Liga Portugal · 2018 | 28 | €600k | €600k | flat |
| Yuriy Bavin Premier Liga · 2020 | 26 | €675k | €400k | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 1 Aug 2020 | Chertanovo | KS Samara | €300k | €750k |
| 1 Jul 2015 | Akad Chertanovo | Chertanovo | 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.