
Viktor Tsygankov
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Viktor Tsygankov's performance-implied value at EUR 5.2M-17.3M, above the estimated acquisition range of EUR 5.5M-13.1M. Its 24-month market value projection is EUR 4.4M-12.0M. Context-adjusted goal contributions are 1.23x the positional average in the league (2642 minutes, league coefficient 0.95). 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: 51
What drives the score. Not a black box: each component and its level.
| Performance | High | 75.9th pct among ATT peers (age-neutral) |
| Age | Unfavorable | 28.6 years |
| Acquisition cost | Very favorable | est. €7.4M vs market €15.0M |
| Expected appreciation | Very low | -50% over ~2 years (model) |
| Value gap | Small | weak predictor on its own |
| Development | Low | |
| League translation | Big-five league | league coefficient 0.95 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | Low | |
| 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 900 evaluated ATT players with 900+ minutes.
Performance (last season, league)
- Minutes
- 2642 (77% of available)
- Goals + assists / 90
- 0.38
- Context-adjusted G+A / 90
- 0.48
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 76 (High)
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
- 0.95 (rank 2)
- Team strength (Elo)
- 1413
- Opponent strength
- 1493
- 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)
- €4.4M – €12.0M
Trajectory drivers: minutes share up 21 pts; relative output up 32% vs positional peers.
Historical comparables (8): median 2-year value change -53% (IQR -68% to -36%).
Risk profile
Overall: Low
- ⚠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).
Already playing in a big-five league.
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 | Girona FC | Laliga | RW | 32 | 2642 | 77% | 6 | 5 | 0.37 | 0.48 | 1493 | 1413 | 0.95 |
| 2024/25 | Girona FC | Laliga | RW | 27 | 1921 | 56% | 2 | 5 | 0.33 | 0.40 | 1514 | 1403 | 0.95 |
| 2023/24 | Girona FC | Laliga | RW | 30 | 2067 | 60% | 8 | 7 | 0.65 | 0.61 | 1500 | 1621 | 1.00 |
| 2022/23 | Girona FC | Laliga | RW | 19 | 1494 | 44% | 3 | 6 | 0.54 | 0.59 | 1517 | 1458 | 0.98 |
| 2022/23 | Dynamo Kyiv | Premier Liga | RW | 13 | 1164 | 43% | 6 | 5 | 0.85 | 0.47 | 1250 | 1433 | 0.38 |
| 2021/22 | Dynamo Kyiv | Premier Liga | RW | 18 | 1476 | 91% | 11 | 3 | 0.85 | 0.44 | 1283 | 1532 | 0.45 |
| 2020/21 | Dynamo Kyiv | Premier Liga | RW | 20 | 1396 | 60% | 12 | 8 | 1.29 | 0.59 | 1297 | 1563 | 0.49 |
| 2019/20 | Dynamo Kyiv | Premier Liga | RW | 20 | 1572 | 79% | 8 | 5 | 0.74 | 0.47 | 1340 | 1497 | 0.54 |
| 2018/19 | Dynamo Kyiv | Premier Liga | RW | 22 | 1842 | 93% | 11 | 6 | 0.83 | 0.49 | 1332 | 1528 | 0.57 |
| 2017/18 | Dynamo Kyiv | Premier Liga | RW | 18 | 1363 | 69% | 9 | 6 | 0.99 | 0.43 | 1298 | 1547 | 0.62 |
| 2016/17 | Dynamo Kyiv | Premier Liga | RW | 20 | 898 | 31% | 3 | 4 | 0.70 | 0.39 | 1333 | 1566 | 0.56 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Copa Del Rey | Girona FC | 2 | 84 | 1 | 0 | — |
| 2024/25 | Uefa Champions League | Girona FC | 5 | 330 | 0 | 0 | 1653 |
| 2023/24 | Copa Del Rey | Girona FC | 4 | 208 | 0 | 0 | — |
| 2022/23 | Uefa Europa League | Dynamo Kyiv | 6 | 532 | 2 | 0 | 1517 |
| 2022/23 | Uefa Champions League Qualifying | Dynamo Kyiv | 4 | 391 | 1 | 1 | 1438 |
| 2021/22 | Uefa Champions League | Dynamo Kyiv | 6 | 490 | 0 | 1 | 1757 |
| 2020/21 | Uefa Champions League | Dynamo Kyiv | 5 | 427 | 2 | 0 | 1581 |
| 2020/21 | Uefa Europa League | Dynamo Kyiv | 4 | 315 | 0 | 1 | 1637 |
| 2020/21 | Ukrainian Cup | Dynamo Kyiv | 3 | 235 | 1 | 0 | — |
| 2020/21 | Uefa Champions League Qualifying | Dynamo Kyiv | 2 | 61 | 0 | 0 | 1471 |
| 2019/20 | Uefa Europa League | Dynamo Kyiv | 6 | 540 | 2 | 3 | 1468 |
| 2019/20 | Ukrainian Cup | Dynamo Kyiv | 4 | 242 | 1 | 0 | — |
| 2019/20 | Uefa Champions League Qualifying | Dynamo Kyiv | 2 | 135 | 0 | 0 | 1573 |
| 2018/19 | Uefa Europa League | Dynamo Kyiv | 9 | 804 | 2 | 4 | 1513 |
| 2018/19 | Uefa Champions League Qualifying | Dynamo Kyiv | 4 | 360 | 0 | 2 | 1505 |
| 2018/19 | Ukrainian Cup | Dynamo Kyiv | 1 | 120 | 1 | 0 | — |
| 2017/18 | Uefa Europa League | Dynamo Kyiv | 8 | 648 | 3 | 4 | 1476 |
| 2017/18 | Ukrainian Cup | Dynamo Kyiv | 2 | 135 | 1 | 0 | — |
| 2017/18 | Uefa Europa League Qualifying | Dynamo Kyiv | 1 | 18 | 0 | 0 | 1364 |
| 2017/18 | Uefa Champions League Qualifying | Dynamo Kyiv | 1 | 9 | 0 | 0 | 1469 |
| 2016/17 | Uefa Champions League | Dynamo Kyiv | 6 | 262 | 1 | 1 | 1686 |
| 2016/17 | Ukrainian Cup | Dynamo Kyiv | 3 | 139 | 1 | 1 | — |
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 |
|---|---|---|---|---|
| Gianluca Caprari Serie A · 2022 | 29 | €10.0M | €4.0M | fell |
| Vedat Muriqi Laliga · 2023 | 29 | €15.0M | €5.0M | fell |
| Antonio Sanabria Serie A · 2023 | 27 | €10.0M | €2.8M | fell |
| Éder Serie A · 2014 | 28 | €8.0M | €12.0M | rose |
| Giovanni Simeone Serie A · 2022 | 27 | €17.0M | €10.0M | fell |
| Isi Palazón Laliga · 2023 | 29 | €12.0M | €3.5M | fell |
| Youssef En-Nesyri Laliga · 2024 | 27 | €20.0M | €17.0M | flat |
| Nils Petersen Bundesliga · 2018 | 30 | €12.0M | €6.5M | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 17 Jan 2023 | Dynamo Kyiv | Girona | €5.0M | €22.0M |
| 1 Aug 2016 | Dynamo Kyiv II | Dynamo Kyiv | Unknown | Data unavailable |
| 1 Jan 2015 | Dynamo Kyiv U17 | Dynamo Kyiv 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.