
Sergey Petrov
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Sergey Petrov's performance-implied value at EUR 0.3M-1.1M, above the estimated acquisition range of EUR 0.1M-0.2M. Its 24-month market value projection is EUR 0.1M-0.3M. Confidence is medium: 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.
Age above 33 (outside validated pool)
| Performance | Above average | 63.5th pct among DEF peers (age-neutral) |
| Age | Unfavorable | 35.5 years |
| Acquisition cost | Very favorable | est. €82k vs market €250k |
| Expected appreciation | Low | -23% over ~2 years (model) |
| Value gap | Very 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 | 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
- 1199 (44% of available)
- Goals + assists / 90
- 0.07
- Context-adjusted G+A / 90
- 0.09
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 64 (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
- 0.56 (rank 10)
- Team strength (Elo)
- 1536
- Opponent strength
- 1334
- 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)
- €81k – €252k
Trajectory drivers: minutes share down 19 pts.
Historical comparables (8): median 2-year value change -53% (IQR -60% to -41%).
Risk profile
Overall: Very High
- ▲Age 35: resale value typically declines.
- ⚠Limited sample: 1199 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.
- ⓘ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 Krasnodar | Premier Liga | RB | 15 | 1199 | 44% | 0 | 1 | 0.08 | 0.09 | 1334 | 1536 | 0.56 |
| 2024/25 | FK Krasnodar | Premier Liga | RB | 27 | 1707 | 63% | 0 | 1 | 0.05 | 0.07 | 1304 | 1511 | 0.55 |
| 2023/24 | FK Krasnodar | Premier Liga | LB | 14 | 813 | 30% | 0 | 0 | 0.00 | 0.06 | 1322 | 1405 | 0.49 |
| 2022/23 | FK Krasnodar | Premier Liga | RB | 19 | 859 | 32% | 1 | 1 | 0.21 | 0.13 | 1324 | 1405 | 0.53 |
| 2021/22 | FK Krasnodar | Premier Liga | RB | 15 | 1271 | 47% | 0 | 0 | 0.00 | 0.06 | 1363 | 1371 | 0.52 |
| 2020/21 | FK Krasnodar | Premier Liga | RB | 10 | 795 | 29% | 2 | 1 | 0.34 | 0.22 | 1361 | 1357 | 0.55 |
| 2019/20 | FK Krasnodar | Premier Liga | RB | 27 | 2332 | 86% | 2 | 4 | 0.23 | 0.15 | 1389 | 1465 | 0.63 |
| 2018/19 | FK Krasnodar | Premier Liga | RB | 22 | 1934 | 72% | 1 | 2 | 0.14 | 0.12 | 1403 | 1543 | 0.69 |
| 2017/18 | FK Krasnodar | Premier Liga | RB | 28 | 2520 | 93% | 1 | 5 | 0.21 | 0.16 | 1397 | 1522 | 0.75 |
| 2016/17 | FK Krasnodar | Premier Liga | RB | 17 | 1394 | 52% | 0 | 0 | 0.00 | 0.04 | 1395 | 1506 | 0.70 |
| 2015/16 | FK Krasnodar | Premier Liga | LB | 24 | 2050 | 76% | 3 | 1 | 0.18 | 0.12 | 1453 | 1577 | 0.79 |
| 2014/15 | FK Krasnodar | Premier Liga | LB | 22 | 1738 | 64% | 1 | 1 | 0.10 | 0.09 | 1472 | 1596 | 0.88 |
| 2013/14 | FK Krasnodar | Premier Liga | CM | 14 | 624 | 23% | 1 | 0 | 0.14 | 0.16 | 1452 | 1500 | 0.92 |
| 2012/13 | PFK Krylya Sovetov Samara | Premier Liga | RB | 13 | 1154 | 43% | 0 | 0 | 0.00 | 0.06 | 1391 | 1380 | 0.88 |
| 2012/13 | FK Krasnodar | Premier Liga | RB | 10 | 825 | 31% | 1 | 0 | 0.11 | 0.12 | 1394 | 1466 | 0.88 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Russian Super Cup | FK Krasnodar | 1 | 24 | 0 | 0 | 1478 |
| 2024/25 | Russian Cup | FK Krasnodar | 3 | 173 | 0 | 0 | — |
| 2023/24 | Russian Cup | FK Krasnodar | 3 | 251 | 0 | 0 | — |
| 2022/23 | Russian Cup | FK Krasnodar | 7 | 549 | 0 | 0 | — |
| 2021/22 | Russian Cup | FK Krasnodar | 1 | 45 | 0 | 0 | — |
| 2020/21 | Uefa Champions League Qualifying | FK Krasnodar | 2 | 180 | 0 | 0 | 1519 |
| 2020/21 | Uefa Champions League | FK Krasnodar | 1 | 73 | 0 | 0 | 1539 |
| 2019/20 | Uefa Europa League | FK Krasnodar | 6 | 540 | 0 | 1 | 1554 |
| 2019/20 | Uefa Champions League Qualifying | FK Krasnodar | 4 | 326 | 0 | 0 | 1642 |
| 2018/19 | Uefa Europa League | FK Krasnodar | 10 | 801 | 0 | 2 | 1542 |
| 2018/19 | Russian Cup | FK Krasnodar | 1 | 90 | 0 | 0 | — |
| 2017/18 | Uefa Europa League Qualifying | FK Krasnodar | 2 | 180 | 1 | 0 | 1424 |
| 2016/17 | Uefa Europa League | FK Krasnodar | 4 | 341 | 0 | 0 | 1565 |
| 2016/17 | Russian Cup | FK Krasnodar | 2 | 210 | 0 | 0 | — |
| 2016/17 | Uefa Europa League Qualifying | FK Krasnodar | 2 | 180 | 0 | 0 | 1300 |
| 2015/16 | Uefa Europa League | FK Krasnodar | 5 | 450 | 0 | 0 | 1509 |
| 2015/16 | Uefa Europa League Qualifying | FK Krasnodar | 3 | 270 | 0 | 0 | 1331 |
| 2015/16 | Russian Cup | FK Krasnodar | 2 | 210 | 0 | 0 | — |
| 2014/15 | Uefa Europa League Qualifying | FK Krasnodar | 3 | 270 | 0 | 1 | 1428 |
| 2014/15 | Uefa Europa League | FK Krasnodar | 5 | 256 | 0 | 0 | 1565 |
| 2014/15 | Russian Cup | FK Krasnodar | 2 | 180 | 1 | 2 | — |
| 2013/14 | Russian Cup | FK Krasnodar | 3 | 196 | 0 | 0 | — |
| 2012/13 | Russian Cup | PFK Krylya Sovetov Samara | 1 | 16 | 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 |
|---|---|---|---|---|
| Ritchie De Laet Jupiler Pro League · 2024 | 36 | €300k | €300k | flat |
| Adriano Super Lig · 2019 | 35 | €800k | €350k | fell |
| Quini Super League 1 · 2024 | 35 | €350k | €150k | fell |
| Aleksey Berezutski Premier Liga · 2017 | 35 | €300k | €100k | fell |
| Denis Odoi Jupiler Pro League · 2024 | 36 | €300k | €150k | fell |
| Stathis Tavlaridis Super League 1 · 2016 | 36 | €300k | €150k | fell |
| Eric Botteghin Eredivisie · 2021 | 34 | €500k | €500k | flat |
| Vyacheslav Shevchuk Premier Liga · 2015 | 36 | €800k | €200k | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 2 Jan 2013 | Zenit S-Pb | Krasnodar | Unknown | €750k |
| 1 Jan 2013 | KS Samara | Zenit S-Pb | €760k | €750k |
| 1 Aug 2011 | Zenit II | KS Samara | Free / loan | €100k |
| 1 Aug 2008 | Zenit U17 | Zenit 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.