
Anton Miranchuk
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Anton Miranchuk's performance-implied value at EUR 0.7M-3.6M, above the estimated acquisition range of EUR 0.5M-1.5M. Its 24-month market value projection is EUR 0.5M-1.5M. Context-adjusted goal contributions are 0.70x the positional average in the league (815 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 | Average | 36.6th pct among MID peers (age-neutral) |
| Age | Unfavorable | 30.7 years |
| Acquisition cost | Very favorable | est. €642k vs market €2.0M |
| Expected appreciation | Very low | -48% 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
- 815 (30% of available)
- Goals + assists / 90
- 0.33
- Context-adjusted G+A / 90
- 0.28
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 37 (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)
- 1423
- 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
- insufficient
- Breakout probability
- Age > 23
- Resale range (24m)
- €469k – €1.5M
Historical comparables (8): median 2-year value change -66% (IQR -71% to -44%).
Risk profile
Overall: Very High
- ▲Small sample: 815 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.
- ⚠Age 31: resale value typically declines.
- ⚠Projection range wider than for most evaluated players.
- ⚠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 | FK Dinamo Moskva | Premier Liga | AM | 14 | 815 | 30% | 1 | 2 | 0.33 | 0.28 | 1296 | 1423 | 0.56 |
| 2023/24 | Футбольный клуб "Локомотив" Москва | Premier Liga | AM | 29 | 1761 | 65% | 6 | 5 | 0.56 | 0.46 | 1325 | 1416 | 0.49 |
| 2022/23 | Футбольный клуб "Локомотив" Москва | Premier Liga | AM | 28 | 1535 | 57% | 8 | 3 | 0.64 | 0.45 | 1311 | 1399 | 0.53 |
| 2021/22 | Футбольный клуб "Локомотив" Москва | Premier Liga | AM | 9 | 235 | 9% | 1 | 1 | 0.77 | 0.44 | 1369 | 1344 | 0.52 |
| 2020/21 | Футбольный клуб "Локомотив" Москва | Premier Liga | AM | 23 | 1341 | 50% | 4 | 5 | 0.60 | 0.43 | 1348 | 1457 | 0.55 |
| 2019/20 | Футбольный клуб "Локомотив" Москва | Premier Liga | LW | 17 | 1112 | 41% | 3 | 1 | 0.32 | 0.29 | 1363 | 1462 | 0.63 |
| 2018/19 | Футбольный клуб "Локомотив" Москва | Premier Liga | LW | 25 | 1793 | 66% | 11 | 3 | 0.70 | 0.52 | 1414 | 1499 | 0.69 |
| 2017/18 | Футбольный клуб "Локомотив" Москва | Premier Liga | AM | 29 | 1976 | 73% | 4 | 7 | 0.50 | 0.45 | 1400 | 1516 | 0.75 |
| 2016/17 | Футбольный клуб "Локомотив" Москва | Premier Liga | AM | 3 | 83 | 3% | 0 | 0 | 0.00 | 0.30 | 1343 | 1446 | 0.70 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Russian Cup | FK Dinamo Moskva | 5 | 333 | 0 | 1 | — |
| 2023/24 | Russian Cup | Футбольный клуб "Локомотив" Москва | 9 | 521 | 2 | 2 | — |
| 2022/23 | Russian Cup | Футбольный клуб "Локомотив" Москва | 6 | 363 | 3 | 3 | — |
| 2021/22 | Russian Super Cup | Футбольный клуб "Локомотив" Москва | 1 | 29 | 0 | 0 | 1544 |
| 2020/21 | Uefa Champions League | Футбольный клуб "Локомотив" Москва | 6 | 460 | 3 | 0 | 1805 |
| 2020/21 | Russian Super Cup | Футбольный клуб "Локомотив" Москва | 1 | 81 | 0 | 1 | 1594 |
| 2020/21 | Russian Cup | Футбольный клуб "Локомотив" Москва | 2 | 16 | 0 | 1 | — |
| 2019/20 | Russian Super Cup | Футбольный клуб "Локомотив" Москва | 1 | 90 | 0 | 0 | 1533 |
| 2019/20 | Uefa Champions League | Футбольный клуб "Локомотив" Москва | 1 | 90 | 0 | 0 | 1597 |
| 2018/19 | Russian Cup | Футбольный клуб "Локомотив" Москва | 7 | 555 | 4 | 1 | — |
| 2018/19 | Uefa Champions League | Футбольный клуб "Локомотив" Москва | 6 | 391 | 1 | 0 | 1589 |
| 2018/19 | Russian Super Cup | Футбольный клуб "Локомотив" Москва | 1 | 120 | 0 | 0 | 1596 |
| 2017/18 | Uefa Europa League | Футбольный клуб "Локомотив" Москва | 10 | 691 | 1 | 1 | 1497 |
| 2017/18 | Russian Cup | Футбольный клуб "Локомотив" Москва | 1 | 120 | 0 | 0 | — |
| 2017/18 | Russian Super Cup | Футбольный клуб "Локомотив" Москва | 1 | 17 | 0 | 0 | 1517 |
| 2016/17 | Uefa Europa League Qualifying | FCI Levadia | 4 | 340 | 1 | 1 | 1314 |
| 2013/14 | Russian Cup | Футбольный клуб "Локомотив" Москва | 1 | 32 | 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 |
|---|---|---|---|---|
| Jesper Jörgensen Jupiler Pro League · 2013 | 29 | €1.5M | €800k | fell |
| Roman Bezus Jupiler Pro League · 2021 | 31 | €2.0M | €700k | fell |
| Demy de Zeeuw Jupiler Pro League · 2014 | 31 | €1.0M | €700k | fell |
| Eyong Enoh Jupiler Pro League · 2016 | 30 | €1.5M | €500k | fell |
| Isaac Hayden Jupiler Pro League · 2024 | 29 | €1.8M | €400k | fell |
| Abdullah Durak Super Lig · 2016 | 29 | €1.8M | €150k | fell |
| Luciano Narsingh Eredivisie · 2020 | 30 | €1.6M | €500k | fell |
| Pavlo Rebenok Premier Liga · 2016 | 31 | €750k | €500k | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 22 Aug 2025 | FC Sion | Dynamo Moscow | €2.5M | €2.5M |
| 9 Sept 2024 | Loko Moscow | FC Sion | Free / loan | €6.0M |
| 1 Jul 2017 | Loko Moscow II | Loko Moscow | Unknown | €250k |
| 31 Dec 2016 | Levadia | Loko Moscow II | Free / loan | €250k |
| 1 Jan 2016 | Loko Moscow II | Levadia | Free / loan | €150k |
| 1 Jan 2012 | Ak. Loko U17 | Loko Moscow 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.