Maksim Kuzmin
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Maksim Kuzmin's performance-implied value at EUR 0.4M-0.7M, above the estimated acquisition range of EUR 0.2M-0.7M. Its 24-month market value projection is EUR 0.3M-0.6M. Context-adjusted goal contributions are 0.72x the positional average in the league (988 minutes, league coefficient 0.56). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 58
What drives the score. Not a black box: each component and its level.
| Performance | Below average | 13.5th pct among MID peers (age-neutral) |
| Age | Unfavorable | 30.1 years |
| Acquisition cost | Very favorable | est. €399k vs market €800k |
| Expected appreciation | Very low | -47% over ~2 years (model) |
| Value gap | Small | 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 | 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
- 988 (37% of available)
- Goals + assists / 90
- 0.09
- Context-adjusted G+A / 90
- 0.29
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 14 (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)
- 1212
- Opponent strength
- 1362
- 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)
- €302k – €596k
Trajectory drivers: minutes share down 23 pts.
Historical comparables (8): median 2-year value change -27% (IQR -60% to +0%).
Risk profile
Overall: Very High
- ⚠Limited sample: 988 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).
- ⚠Age 30: resale value typically declines.
- ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
- ⚠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
- 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 | Akron Togliatti | Premier Liga | AM | 23 | 988 | 37% | 0 | 1 | 0.09 | 0.29 | 1362 | 1212 | 0.56 |
| 2024/25 | Akron Togliatti | Premier Liga | AM | 25 | 1615 | 60% | 0 | 4 | 0.22 | 0.33 | 1299 | 1260 | 0.55 |
| 2023/24 | FK Baltika | Premier Liga | AM | 26 | 1153 | 43% | 2 | 5 | 0.55 | 0.69 | 1340 | 1187 | 0.49 |
| 2015/16 | FK Dinamo Moskva | Premier Liga | AM | 6 | 208 | 8% | 0 | 0 | 0.00 | 0.34 | 1463 | 1351 | 0.79 |
| 2014/15 | FK Dinamo Moskva | Premier Liga | AM | 1 | 22 | 1% | 0 | 0 | 0.00 | 0.43 | 1602 | 1559 | 0.88 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Russian Cup | Akron Togliatti | 5 | 299 | 0 | 0 | — |
| 2024/25 | Russian Cup | Akron Togliatti | 4 | 211 | 0 | 0 | — |
| 2023/24 | Russian Cup | FK Baltika | 9 | 387 | 1 | 2 | — |
| 2018/19 | Russian Cup | Fakel Voronezh | 1 | 29 | 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 |
|---|---|---|---|---|
| Paulo Tavares Liga Portugal · 2016 | 31 | €700k | €200k | fell |
| Noé Acosta Super League 1 · 2014 | 31 | €600k | €400k | fell |
| Mustafa Saymak Eredivisie · 2022 | 29 | €500k | €150k | fell |
| Raphaël Lecomte Jupiler Pro League · 2016 | 28 | €500k | €400k | fell |
| Evgeniy Kharin Premier Liga · 2024 | 29 | €1.5M | €650k | fell |
| Campanharo Super Lig · 2022 | 30 | €1.2M | €1.2M | flat |
| Andrey Mendel Premier Liga · 2024 | 29 | €500k | €900k | rose |
| Dmytro Trukhin Premier Liga · 2015 | 32 | €400k | €400k | flat |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 1 Jul 2026 | Akron Tolyatti | Without Club | Unknown | €800k |
| 1 Jul 2024 | Baltika | Akron Tolyatti | Free / loan | €700k |
| 1 Jul 2019 | Dinamo Moscow | Baltika | Free / loan | €450k |
| 30 Jun 2019 | Fakel Voronezh | Dinamo Moscow | Free / loan | €450k |
| 19 Feb 2018 | Dinamo Moscow | Fakel Voronezh | Free / loan | €200k |
| 1 Jul 2015 | Dynamo M II | Dinamo Moscow | Unknown | Data unavailable |
| 12 Aug 2013 | Akad. Togliatti | Dynamo M II | Unknown | Data unavailable |
| 1 Jul 2012 | Akron Konoplev | Akad. Togliatti | 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.