
Léo Duarte
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Léo Duarte's performance-implied value at EUR 1.0M-1.8M, above the estimated acquisition range of EUR 0.6M-2.4M. Its 24-month market value projection is EUR 0.8M-1.8M. Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Bargain Index: 38
What drives the score. Not a black box: each component and its level.
| Performance | Average | 50.1th pct among DEF peers (age-neutral) |
| Age | Unfavorable | 30 years |
| Acquisition cost | Very favorable | est. €1.4M vs market €2.5M |
| Expected appreciation | Very low | -49% over ~2 years (model) |
| Value gap | Small | weak predictor on its own |
| Development | Low | |
| League translation | Uncertain | league coefficient 0.4 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | Moderate | |
| 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
- 2305 (75% of available)
- Goals + assists / 90
- 0.04
- Context-adjusted G+A / 90
- 0.05
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 50 (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
- 0.40 (rank 7)
- Team strength (Elo)
- 1357
- Opponent strength
- 1279
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Low
- Trajectory
- declining
- Breakout probability
- Age > 23
- Resale range (24m)
- €777k – €1.8M
Trajectory drivers: team strength up (+71 Elo); relative output down 25% vs positional peers.
Historical comparables (8): median 2-year value change -30% (IQR -56% to -15%).
Risk profile
Overall: Moderate
- ⚠League level coefficient 0.40 (1.00 = big-five average): output may not translate.
- ⚠Declining trajectory versus previous 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
- 50 (DEF)
- Relative output kept
- 68%–191%
- Held a regular role (900+ min)
- 54%
- 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 | Basaksehir FK | Super Lig | CB | 26 | 2305 | 75% | 0 | 1 | 0.04 | 0.05 | 1279 | 1357 | 0.40 |
| 2024/25 | Basaksehir FK | Super Lig | CB | 29 | 2469 | 76% | 2 | 0 | 0.07 | 0.06 | 1286 | 1286 | 0.39 |
| 2023/24 | Basaksehir FK | Super Lig | CB | 30 | 2700 | 79% | 0 | 2 | 0.07 | 0.06 | 1302 | 1397 | 0.45 |
| 2022/23 | Basaksehir FK | Super Lig | CB | 30 | 2505 | 77% | 0 | 1 | 0.04 | 0.04 | 1301 | 1395 | 0.50 |
| 2021/22 | Basaksehir FK | Super Lig | CB | 33 | 2873 | 84% | 0 | 0 | 0.00 | 0.02 | 1250 | 1372 | 0.42 |
| 2020/21 | Basaksehir FK | Super Lig | CB | 17 | 1284 | 36% | 0 | 0 | 0.00 | 0.03 | 1263 | 1266 | 0.37 |
| 2020/21 | AC Milan | Serie A | CB | 1 | 18 | 1% | 0 | 0 | 0.00 | 0.04 | 1365 | 1639 | 0.90 |
| 2019/20 | AC Milan | Serie A | CB | 6 | 403 | 12% | 0 | 0 | 0.00 | 0.05 | 1462 | 1590 | 0.82 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Conference League Qualifying | Basaksehir FK | 5 | 405 | 0 | 0 | 1336 |
| 2024/25 | Uefa Conference League Qualifying | Basaksehir FK | 6 | 450 | 0 | 1 | 1200 |
| 2022/23 | Uefa Conference League Qualifying | Basaksehir FK | 5 | 450 | 0 | 0 | 1385 |
| 2020/21 | Uefa Europa League | AC Milan | 2 | 99 | 0 | 0 | 1519 |
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 |
|---|---|---|---|---|
| Uğur Çiftçi Super Lig · 2022 | 30 | €2.6M | €1.3M | fell |
| Bart Schenkeveld Super League 1 · 2021 | 30 | €1.0M | €1.5M | rose |
| Vitor Hugo Super Lig · 2021 | 30 | €5.5M | €4.5M | flat |
| Jakub Brabec Super League 1 · 2024 | 32 | €1.8M | €400k | fell |
| Onur Bulut Super Lig · 2024 | 30 | €2.0M | €600k | fell |
| Moisés Premier Liga · 2024 | 29 | €4.5M | €4.0M | flat |
| Oleksandr Svatok Premier Liga · 2024 | 30 | €2.0M | €1.2M | fell |
| Fernando Varela Super League 1 · 2017 | 30 | €3.0M | €2.5M | 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 | Basaksehir | Atlético-MG | Free / loan | €2.5M |
| 8 Jul 2022 | AC Milan | Basaksehir | €2.0M | €2.2M |
| 30 Jun 2022 | Basaksehir | AC Milan | Free / loan | €2.2M |
| 11 Jan 2021 | AC Milan | Basaksehir | Free / loan | €3.0M |
| 7 Aug 2019 | Flamengo | AC Milan | €10.6M | €4.0M |
| 1 Jan 2016 | Flamengo U20 | Flamengo | Unknown | Data unavailable |
| 10 Jan 2014 | Desportivo U20 | Flamengo U20 | €880k | 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.