
Aleksey Sutormin
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Aleksey Sutormin's performance-implied value at EUR 0.2M-0.4M, below the estimated acquisition range of EUR 0.1M-0.7M. Its 24-month market value projection is EUR 0.2M-0.5M. Context-adjusted goal contributions are 0.67x the positional average in the league (639 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: Contract end date unavailable: range widened by 15% each side.
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 | 12.1th pct among MID peers (age-neutral) |
| Age | Unfavorable | 32.5 years |
| Acquisition cost | Very favorable | est. €323k vs market €600k |
| Expected appreciation | Very low | -52% over ~2 years (model) |
| Value gap | Negative | 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
- 639 (24% of available)
- Goals + assists / 90
- 0.00
- Context-adjusted G+A / 90
- 0.15
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 12 (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
- 1296
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Low
- Trajectory
- stable
- Breakout probability
- Age > 23
- Resale range (24m)
- €170k – €517k
Trajectory drivers: minutes share down 21 pts; changed club; team strength down (-80 Elo); role change LW -> RM.
Historical comparables (8): median 2-year value change -39% (IQR -63% to +0%).
Risk profile
Overall: Very High
- ▲Small sample: 639 league minutes last season.
- ▲Age 32: resale value typically declines.
- ⚠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).
- ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
- ⓘ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
- 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 | RM | 16 | 639 | 24% | 0 | 0 | 0.00 | 0.15 | 1296 | 1262 | 0.56 |
| 2024/25 | FK Rostov | Premier Liga | LW | 24 | 1217 | 45% | 0 | 1 | 0.07 | 0.23 | 1321 | 1342 | 0.55 |
| 2023/24 | FK Sochi | Premier Liga | RW | 10 | 479 | 18% | 2 | 1 | 0.56 | 0.58 | 1317 | 1222 | 0.49 |
| 2023/24 | AO FK Zenit Sankt-Peterburg | Premier Liga | RW | 7 | 141 | 5% | 0 | 2 | 1.28 | 0.32 | 1280 | 1491 | 0.49 |
| 2022/23 | AO FK Zenit Sankt-Peterburg | Premier Liga | RB | 14 | 486 | 18% | 0 | 0 | 0.00 | 0.04 | 1308 | 1582 | 0.53 |
| 2021/22 | AO FK Zenit Sankt-Peterburg | Premier Liga | RW | 25 | 1103 | 41% | 4 | 1 | 0.41 | 0.28 | 1331 | 1530 | 0.52 |
| 2020/21 | AO FK Zenit Sankt-Peterburg | Premier Liga | RW | 26 | 965 | 36% | 3 | 5 | 0.75 | 0.35 | 1294 | 1544 | 0.55 |
| 2019/20 | AO FK Zenit Sankt-Peterburg | Premier Liga | RW | 24 | 988 | 37% | 3 | 2 | 0.46 | 0.32 | 1382 | 1594 | 0.63 |
| 2018/19 | FC Orenburg | Premier Liga | LW | 29 | 2514 | 93% | 8 | 2 | 0.36 | 0.43 | 1426 | 1372 | 0.69 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Russian Cup | PFK Krylya Sovetov Samara | 6 | 232 | 0 | 0 | — |
| 2024/25 | Russian Cup | FK Rostov | 9 | 562 | 2 | 0 | — |
| 2023/24 | Russian Cup | AO FK Zenit Sankt-Peterburg | 4 | 288 | 0 | 0 | — |
| 2023/24 | Russian Super Cup | AO FK Zenit Sankt-Peterburg | 1 | 1 | 0 | 0 | 1447 |
| 2022/23 | Russian Cup | AO FK Zenit Sankt-Peterburg | 5 | 260 | 0 | 0 | — |
| 2022/23 | Russian Super Cup | AO FK Zenit Sankt-Peterburg | 1 | 69 | 0 | 0 | 1359 |
| 2021/22 | Uefa Champions League | AO FK Zenit Sankt-Peterburg | 4 | 293 | 1 | 0 | 1680 |
| 2021/22 | Uefa Europa League | AO FK Zenit Sankt-Peterburg | 1 | 86 | 0 | 0 | 1605 |
| 2021/22 | Russian Cup | AO FK Zenit Sankt-Peterburg | 2 | 61 | 0 | 0 | — |
| 2020/21 | Uefa Champions League | AO FK Zenit Sankt-Peterburg | 5 | 243 | 0 | 1 | 1619 |
| 2020/21 | Russian Cup | AO FK Zenit Sankt-Peterburg | 1 | 90 | 0 | 0 | — |
| 2019/20 | Russian Cup | AO FK Zenit Sankt-Peterburg | 5 | 247 | 2 | 0 | — |
| 2019/20 | Uefa Champions League | AO FK Zenit Sankt-Peterburg | 2 | 26 | 0 | 0 | 1658 |
| 2018/19 | Russian Cup | FC Orenburg | 2 | 180 | 1 | 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 |
|---|---|---|---|---|
| Lee Cattermole Eredivisie · 2020 | 32 | €650k | €650k | flat |
| Danijel Milicevic Jupiler Pro League · 2019 | 33 | €400k | €100k | fell |
| Bilal Kisa Super Lig · 2017 | 34 | €350k | €50k | fell |
| Robert Braber Eredivisie · 2016 | 34 | €350k | €150k | fell |
| Christian Brüls Jupiler Pro League · 2021 | 33 | €400k | €300k | fell |
| Babanco Liga Portugal · 2017 | 32 | €400k | €200k | fell |
| Kevin Thomson Scottish Premiership · 2016 | 32 | €375k | €375k | flat |
| Wilfred Moke Super Lig · 2019 | 31 | €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 | KS Samara | Without Club | Unknown | €600k |
| 8 Jul 2025 | Zenit S-Pb | KS Samara | Free / loan | €1.0M |
| 30 Jun 2025 | Rostov | Zenit S-Pb | Free / loan | €1.0M |
| 15 Aug 2024 | Zenit S-Pb | Rostov | Free / loan | €1.2M |
| 30 Jun 2024 | FK Sochi | Zenit S-Pb | Free / loan | €1.2M |
| 11 Feb 2024 | Zenit S-Pb | FK Sochi | Free / loan | €1.5M |
| 8 Jul 2019 | Rubin Kazan | Zenit S-Pb | €3.0M | €3.5M |
| 1 Jul 2019 | Orenburg | Rubin Kazan | €2.0M | €3.5M |
| 5 Jan 2018 | Volgar | Orenburg | Unknown | €500k |
| 1 Jul 2015 | Strogino Moscow | Volgar | Unknown | €25k |
| 1 Jan 2013 | Zenit II | Strogino Moscow | Free / loan | €25k |
| 1 Jan 2012 | Zenit U17 | Zenit II | Unknown | Data unavailable |
| 1 Feb 2010 | SShOR Khimki | Zenit U17 | Unknown | Data unavailable |
| 1 Jan 2007 | DYuSSh Strogino | SShOR Khimki | 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.