Maksym Bragaru
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Maksym Bragaru's performance-implied value at EUR 1.0M-2.5M, above the estimated acquisition range of EUR 0.7M-2.0M. Its 24-month market value projection is EUR 0.7M-2.8M. Context-adjusted goal contributions are 0.87x the positional average in the league (1599 minutes, league coefficient 0.25). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 75
What drives the score. Not a black box: each component and its level.
| Performance | Average | 35.5th pct among ATT peers (age-neutral) |
| Age | Favorable | 23.9 years |
| Acquisition cost | Favorable | est. €1.2M vs market €1.5M |
| Expected appreciation | Neutral | -0% over ~2 years (model) |
| Value gap | Small | weak predictor on its own |
| Development | Low | |
| League translation | Uncertain | league coefficient 0.25 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | 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 900 evaluated ATT players with 900+ minutes.
Performance (last season, league)
- Minutes
- 1599 (59% of available)
- Goals + assists / 90
- 0.56
- Context-adjusted G+A / 90
- 0.35
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 36 (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
- 0.25 (rank 30)
- Team strength (Elo)
- 1292
- Opponent strength
- 1126
- 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)
- €719k – €2.8M
Trajectory drivers: minutes share up 37 pts; changed club; team strength down (-114 Elo); relative output up 74% vs positional peers.
Historical comparables (8): median 2-year value change +37% (IQR +16% to +120%).
Risk profile
Overall: High
- ▲League level coefficient 0.25 (1.00 = big-five average): output may not translate.
- ▲Projection range among the widest 10% of evaluated players.
- ⚠Limited sample: 1599 league minutes last 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 (ATT)
- Relative output kept
- 87%–104%
- Held a regular role (900+ min)
- 94%
- 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 Polissya Zhytomyr | Premier Liga | LW | 25 | 1533 | 57% | 4 | 4 | 0.47 | 0.36 | 1126 | 1290 | 0.25 |
| 2025/26 | Dynamo Kyiv | Premier Liga | LW | 2 | 66 | 2% | 1 | 1 | 2.73 | 0.30 | 1064 | 1324 | 0.25 |
| 2024/25 | Dynamo Kyiv | Premier Liga | LW | 15 | 587 | 22% | 1 | 0 | 0.15 | 0.21 | 1187 | 1406 | 0.28 |
| 2023/24 | Chornomorets Odesa | Premier Liga | LB | 29 | 2565 | 95% | 1 | 3 | 0.14 | 0.20 | 1270 | 1113 | 0.34 |
| 2022/23 | Chornomorets Odesa | Premier Liga | LW | 29 | 2590 | 96% | 2 | 0 | 0.07 | 0.23 | 1283 | 1188 | 0.38 |
| 2021/22 | Chornomorets Odesa | Premier Liga | RW | 14 | 614 | 38% | 0 | 0 | 0.00 | 0.37 | 1343 | 1156 | 0.45 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Ukrainian Cup | FK Polissya Zhytomyr | 1 | 90 | 0 | 0 | — |
| 2025/26 | Uefa Champions League Qualifying | Dynamo Kyiv | 1 | 9 | 0 | 0 | 1283 |
| 2024/25 | Ukrainian Cup | Dynamo Kyiv | 2 | 134 | 0 | 0 | — |
| 2024/25 | Uefa Champions League Qualifying | Dynamo Kyiv | 4 | 63 | 0 | 0 | 1582 |
| 2024/25 | Uefa Europa League | Dynamo Kyiv | 3 | 46 | 0 | 0 | 1527 |
| 2023/24 | Ukrainian Cup | Chornomorets Odesa | 4 | 386 | 0 | 2 | — |
| 2021/22 | Ukrainian Cup | Chornomorets Odesa | 2 | 164 | 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 |
|---|---|---|---|---|
| Eduardo Guerrero Premier Liga · 2024 | 24 | €1.2M | €2.5M | rose |
| Oleksandr Nazarenko Premier Liga · 2024 | 24 | €700k | €2.5M | rose |
| Xesc Regis Super League 1 · 2021 | 25 | €450k | €500k | flat |
| Emre Mor Super Lig · 2022 | 25 | €1.7M | €2.0M | flat |
| Shapi Suleymanov Super League 1 · 2024 | 25 | €2.0M | €2.5M | rose |
| Robert Mak Super League 1 · 2015 | 24 | €1.8M | €4.5M | rose |
| Daniel Mancini Super League 1 · 2022 | 26 | €2.0M | €3.0M | rose |
| Vasyl Runich Premier Liga · 2024 | 24 | €500k | €400k | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 30 Jun 2026 | Polissya | Dynamo Kyiv | Free / loan | €1.5M |
| 5 Sept 2025 | Dynamo Kyiv | Polissya | Free / loan | €1.0M |
| 1 Jul 2024 | Chornomorets | Dynamo Kyiv | €300k | €800k |
| 1 Jan 2020 | Chornomorets-2 | Chornomorets | Unknown | Data unavailable |
| 18 Jul 2019 | DYuSSh-11 | Chornomorets-2 | Free / loan | 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.