Derensili Sanches Fernandes
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Derensili Sanches Fernandes's performance-implied value at EUR 0.6M-1.1M, above the estimated acquisition range of EUR 0.2M-0.8M. Its 24-month market value projection is EUR 0.6M-1.9M. Context-adjusted goal contributions are 1.14x the positional average in the league (2504 minutes, league coefficient 0.43). 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: 99
What drives the score. Not a black box: each component and its level.
| Performance | Below average | 21.1th pct among ATT peers (age-neutral) |
| Age | Neutral | 25.1 years |
| Acquisition cost | Very favorable | est. €321k vs market €900k |
| Expected appreciation | Neutral | +7% over ~2 years (model) |
| Value gap | Very large | weak predictor on its own |
| Development | Low | |
| League translation | Uncertain | league coefficient 0.43 |
| 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
- 2504 (82% of available)
- Goals + assists / 90
- 0.32
- Context-adjusted G+A / 90
- 0.45
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 21 (Below 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
- 0.43 (rank 15)
- Team strength (Elo)
- 1183
- Opponent strength
- 1313
- 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)
- €555k – €1.9M
Historical comparables (8): median 2-year value change +0% (IQR -19% to +34%).
Risk profile
Overall: High
- ⚠League level coefficient 0.43 (1.00 = big-five average): output may not translate.
- ⚠No continental-competition minutes last season.
- ⚠Contract ends in 12 months: cheaper, but competition and wage demands likely.
- ⚠Projection range wider than for most evaluated players.
- ⓘ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
- 82 (ATT)
- Relative output kept
- 73%–122%
- Held a regular role (900+ min)
- 61%
- 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 | Excelsior Rotterdam | Eredivisie | RW | 33 | 2504 | 82% | 6 | 3 | 0.32 | 0.45 | 1313 | 1183 | 0.43 |
| 2023/24 | Excelsior Rotterdam | Eredivisie | RW | 30 | 1294 | 42% | 2 | 0 | 0.14 | 0.32 | 1319 | 1142 | 0.48 |
| 2022/23 | FC Utrecht | Eredivisie | LW | 3 | 46 | 2% | 0 | 0 | 0.00 | 0.35 | 1314 | 1392 | 0.58 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Knvb Beker | Excelsior Rotterdam | 1 | 58 | 0 | 0 | — |
| 2023/24 | Knvb Beker | Excelsior Rotterdam | 2 | 101 | 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 |
|---|---|---|---|---|
| Laurent Depoitre Jupiler Pro League · 2014 | 26 | €1.0M | €6.5M | rose |
| Christos Albanis Super League 1 · 2018 | 24 | €750k | €475k | fell |
| Yuriy Klymchuk Premier Liga · 2023 | 26 | €700k | €700k | flat |
| Artur Avagimyan Premier Liga · 2022 | 25 | €500k | €500k | flat |
| Davit Skhirtladze Superliga · 2018 | 25 | €500k | €325k | fell |
| Junior Kabananga Jupiler Pro League · 2014 | 25 | €600k | €1.0M | rose |
| Tom van Weert Eredivisie · 2015 | 25 | €800k | €1.0M | rose |
| Emmanuel Sabbi Superliga · 2020 | 23 | €800k | €700k | flat |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 15 Jul 2023 | Utrecht U21 | Excelsior | Unknown | €350k |
| 3 Oct 2020 | Excelsior U19 | Utrecht U21 | 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.