
Tete Morente
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Tete Morente's performance-implied value at EUR 1.5M-5.5M, above the estimated acquisition range of EUR 0.6M-1.9M. Its 24-month market value projection is EUR 0.8M-1.7M. Context-adjusted goal contributions are 0.93x the positional average in the league (1792 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.
Bargain Index: 32
What drives the score. Not a black box: each component and its level.
| Performance | Above average | 57th pct among ATT peers (age-neutral) |
| Age | Unfavorable | 29.6 years |
| Acquisition cost | Favorable | est. €1.3M vs market €1.8M |
| Expected appreciation | Very low | -39% over ~2 years (model) |
| Value gap | Large | 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
- 1792 (52% of available)
- Goals + assists / 90
- 0.15
- Context-adjusted G+A / 90
- 0.37
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 57 (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 4)
- Team strength (Elo)
- 1371
- Opponent strength
- 1460
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Low
- Trajectory
- stable
- Breakout probability
- Age > 23
- Resale range (24m)
- €772k – €1.7M
Trajectory drivers: changed club; role change LW -> RW.
Historical comparables (8): median 2-year value change -27% (IQR -48% to +0%).
Risk profile
Overall: Low
- ⚠Limited sample: 1792 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).
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 | Elche CF | Laliga | RW | 13 | 933 | 27% | 1 | 1 | 0.19 | 0.37 | 1460 | 1389 | 0.95 |
| 2025/26 | US Lecce | Serie A | LW | 16 | 859 | 25% | 0 | 1 | 0.10 | 0.37 | 1519 | 1352 | 0.93 |
| 2024/25 | US Lecce | Serie A | LW | 31 | 2029 | 59% | 3 | 2 | 0.22 | 0.39 | 1497 | 1351 | 0.99 |
| 2022/23 | Elche CF | Laliga | LW | 32 | 2073 | 61% | 4 | 0 | 0.17 | 0.40 | 1526 | 1353 | 0.98 |
| 2021/22 | Elche CF | Laliga | LW | 32 | 1636 | 48% | 3 | 3 | 0.33 | 0.44 | 1520 | 1421 | 1.05 |
| 2020/21 | Elche CF | Laliga | LW | 28 | 1889 | 55% | 2 | 5 | 0.33 | 0.49 | 1551 | 1411 | 1.10 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Italy Cup | US Lecce | 2 | 91 | 0 | 0 | — |
| 2024/25 | Italy Cup | US Lecce | 1 | 60 | 0 | 0 | — |
| 2022/23 | Copa Del Rey | Elche CF | 3 | 202 | 1 | 0 | — |
| 2021/22 | Copa Del Rey | Elche CF | 2 | 58 | 0 | 0 | — |
| 2020/21 | Copa Del Rey | Elche CF | 1 | 22 | 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 |
|---|---|---|---|---|
| David Barral Super Lig · 2013 | 30 | €2.0M | €2.0M | flat |
| Sergey Kornilenko Premier Liga · 2014 | 31 | €1.5M | €500k | fell |
| Assan Ceesay Serie A · 2023 | 29 | €2.5M | €2.0M | fell |
| Sandro Ramírez Laliga · 2024 | 29 | €1.5M | €1.5M | flat |
| Mario Santana Serie A · 2013 | 32 | €1.9M | €250k | fell |
| Doka Madureira Super Lig · 2013 | 29 | €3.0M | €1.8M | fell |
| Cameron Jerome Premier League · 2016 | 30 | €3.0M | €2.0M | fell |
| Pere Milla Laliga · 2021 | 29 | €1.8M | €3.0M | rose |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 2 Feb 2026 | Lecce | Elche CF | Free / loan | €1.8M |
| 1 Jul 2024 | Elche CF | Lecce | Free / loan | €2.5M |
| 16 Sept 2020 | Málaga CF | Elche CF | €500k | €400k |
| 29 Jan 2020 | CD Lugo | Málaga CF | Free / loan | €500k |
| 1 Jul 2019 | Gimnàstic | CD Lugo | Unknown | €500k |
| 30 Jun 2019 | CD Lugo | Gimnàstic | Free / loan | €500k |
| 25 Jan 2019 | Gimnàstic | CD Lugo | Free / loan | €500k |
| 9 Jul 2017 | Atl. Baleares | Gimnàstic | Free / loan | €200k |
| 31 Aug 2016 | Atl. Madrileño | Atl. Baleares | Unknown | Data unavailable |
| 1 Jul 2015 | Atl. Madrid U19 | Atl. Madrileño | Unknown | Data unavailable |
| 18 Jan 2014 | Taraguilla Jgd | Atl. Madrid U19 | Unknown | Data unavailable |
| 30 Jun 2013 | Zabal Youth | Taraguilla Jgd | Free / loan | Data unavailable |
| 1 Jan 2013 | Taraguilla Jgd | Zabal Youth | 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.