
Batista Mendy
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Batista Mendy's performance-implied value at EUR 2.7M-9.9M, above the estimated acquisition range of EUR 3.0M-6.6M. Its 24-month market value projection is EUR 3.0M-7.7M. Context-adjusted goal contributions are 0.66x the positional average in the league (1668 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: 62
What drives the score. Not a black box: each component and its level.
| Performance | Above average | 64.6th pct among MID peers (age-neutral) |
| Age | Neutral | 26.5 years |
| Acquisition cost | Very favorable | est. €4.0M vs market €7.5M |
| Expected appreciation | Very low | -40% 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 | 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 1163 evaluated MID players with 900+ minutes.
Performance (last season, league)
- Minutes
- 1668 (49% of available)
- Goals + assists / 90
- 0.05
- Context-adjusted G+A / 90
- 0.08
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 65 (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
- 0.95 (rank 2)
- Team strength (Elo)
- 1396
- Opponent strength
- 1457
- 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)
- €3.0M – €7.7M
Trajectory drivers: minutes share down 32 pts; changed club; team strength up (+89 Elo); league level up (+226 Elo).
Historical comparables (8): median 2-year value change -47% (IQR -64% to -2%).
Risk profile
Overall: Moderate
- ⚠Limited sample: 1668 league minutes last season.
- ⚠Contract ends in 12 months: cheaper, but competition and wage demands likely.
- ⚠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).
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 | Sevilla FC | Laliga | DM | 27 | 1619 | 47% | 1 | 0 | 0.06 | 0.08 | 1457 | 1397 | 0.95 |
| 2025/26 | Trabzonspor | Super Lig | AM | 2 | 49 | 2% | 0 | 0 | 0.00 | 0.29 | 1206 | 1368 | 0.40 |
| 2024/25 | Trabzonspor | Super Lig | DM | 32 | 2601 | 80% | 1 | 2 | 0.10 | 0.09 | 1285 | 1307 | 0.39 |
| 2023/24 | Trabzonspor | Super Lig | CB | 31 | 2756 | 81% | 1 | 0 | 0.03 | 0.03 | 1288 | 1379 | 0.45 |
| 2022/23 | Angers SCO | Ligue 1 | DM | 35 | 2871 | 84% | 0 | 0 | 0.00 | 0.04 | 1450 | 1221 | 0.82 |
| 2021/22 | Angers SCO | Ligue 1 | DM | 34 | 2417 | 71% | 1 | 1 | 0.07 | 0.10 | 1420 | 1352 | 0.86 |
| 2020/21 | FC Nantes | Ligue 1 | DM | 2 | 74 | 2% | 0 | 0 | 0.00 | 0.13 | 1422 | 1376 | 0.75 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Copa Del Rey | Sevilla FC | 1 | 22 | 0 | 0 | — |
| 2024/25 | Uefa Europa League Qualifying | Trabzonspor | 4 | 360 | 0 | 0 | 1374 |
| 2024/25 | Uefa Conference League Qualifying | Trabzonspor | 2 | 204 | 0 | 0 | 1443 |
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 |
|---|---|---|---|---|
| Riccardo Saponara Serie A · 2017 | 26 | €11.0M | €8.5M | fell |
| Jean-Victor Makengo Ligue 1 · 2023 | 25 | €10.0M | €2.5M | fell |
| Grischa Prömel Bundesliga · 2023 | 28 | €7.0M | €3.0M | fell |
| Emmanuel Badu Serie A · 2017 | 27 | €5.0M | €1.5M | fell |
| Rani Khedira Bundesliga · 2021 | 27 | €5.0M | €10.0M | rose |
| Nahitan Nández Serie A · 2022 | 27 | €13.0M | €5.0M | fell |
| Claudio Yacob Premier League · 2014 | 27 | €6.0M | €4.0M | fell |
| Ola Aina Serie A · 2022 | 26 | €3.5M | €12.0M | rose |
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 | Sevilla FC | Trabzonspor | Free / loan | €7.5M |
| 1 Sept 2025 | Trabzonspor | Sevilla FC | Free / loan | €10.0M |
| 7 Sept 2023 | Angers SCO | Trabzonspor | €4.4M | €3.0M |
| 19 Jul 2021 | FC Nantes | Angers SCO | Free / loan | €500k |
| 1 Jul 2019 | FC Nantes B | FC Nantes | Unknown | Data unavailable |
| 1 Jul 2018 | FC Nantes U19 | FC Nantes B | Unknown | Data unavailable |
| 1 Jul 2017 | FC Nantes U17 | FC Nantes U19 | Unknown | Data unavailable |
| 1 Jul 2015 | Saint-Naz. Jgd | FC Nantes U17 | 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.