
Mumo Muñoz
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Mumo Muñoz's performance-implied value at EUR 0.2M-0.5M, above the estimated acquisition range of EUR 0.1M-0.6M. Its 24-month market value projection is EUR 0.2M-0.4M. Context-adjusted goal contributions are 0.91x the positional average in the league (1156 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: Contract end date unavailable: range widened by 15% each side.
Bargain Index: 69
What drives the score. Not a black box: each component and its level.
| Performance | Below average | 7.8th pct among MID peers (age-neutral) |
| Age | Unfavorable | 31.2 years |
| Acquisition cost | Very favorable | est. €236k vs market €450k |
| Expected appreciation | Very low | -38% over ~2 years (model) |
| Value gap | 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 1163 evaluated MID players with 900+ minutes.
Performance (last season, league)
- Minutes
- 1156 (49% of available)
- Goals + assists / 90
- 0.08
- Context-adjusted G+A / 90
- 0.20
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 8 (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
- 0.42 (rank 16)
- Team strength (Elo)
- 1138
- Opponent strength
- 1238
- 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)
- €175k – €383k
Trajectory drivers: minutes share down 24 pts; league level up (+40 Elo); relative output up 42% vs positional peers.
Historical comparables (8): median 2-year value change -29% (IQR -38% to +0%).
Risk profile
Overall: High
- ⚠Limited sample: 1156 league minutes last season.
- ⚠League level coefficient 0.43 (1.00 = big-five average): output may not translate.
- ⚠No continental-competition minutes last season.
- ⚠Age 31: resale value typically declines.
- ⓘContract end date unavailable (or stale in source).
- ⓘ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
- 14 (MID)
- Relative output kept
- 67%–189%
- Held a regular role (900+ min)
- 64%
- 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 | A.G.S Asteras Tripolis | Super League 1 | CM | 18 | 1156 | 49% | 0 | 1 | 0.08 | 0.20 | 1238 | 1138 | 0.43 |
| 2024/25 | A.G.S Asteras Tripolis | Super League 1 | CM | 22 | 1707 | 73% | 1 | 0 | 0.05 | 0.14 | 1267 | 1185 | 0.35 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Kypello Elladas | A.G.S Asteras Tripolis | 4 | 207 | 1 | 0 | — |
| 2024/25 | Kypello Elladas | A.G.S Asteras Tripolis | 4 | 339 | 1 | 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 |
|---|---|---|---|---|
| Chris Erskine Scottish Premiership · 2018 | 31 | €400k | €300k | fell |
| Jon Toral Super League 1 · 2024 | 29 | €700k | €700k | flat |
| Eggert Gunnthór Jónsson Superliga · 2020 | 32 | €300k | €200k | fell |
| Ross Callachan Scottish Premiership · 2023 | 30 | €400k | €150k | fell |
| David Wotherspoon Scottish Premiership · 2019 | 29 | €400k | €700k | rose |
| Sander Duits Eredivisie · 2015 | 32 | €400k | €400k | flat |
| Leozinho Super League 1 · 2018 | 33 | €300k | €150k | fell |
| Andriy Bogdanov Premier Liga · 2023 | 33 | €300k | €200k | fell |
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 | Asteras Aktor | Without Club | Unknown | €450k |
| 2 Jul 2024 | Burgos CF | Asteras Aktor | Free / loan | €700k |
| 9 Jan 2020 | Without Club | Burgos CF | Free / loan | €250k |
| 1 Jul 2019 | Valencia B | Without Club | Unknown | €250k |
| 18 Jul 2017 | Lleida Esportiu | Valencia B | €25k | €200k |
| 21 Jul 2016 | CE L'Hospitalet | Lleida Esportiu | Free / loan | Data unavailable |
| 31 Jul 2015 | Real Madrid C | CE L'Hospitalet | Free / loan | Data unavailable |
| 1 Jul 2014 | Real Madrid U19 | Real Madrid C | Unknown | Data unavailable |
| 1 Jul 2013 | Real Madrid U18 | Real Madrid U19 | Unknown | Data unavailable |
| 1 Jul 2012 | Real Madrid U17 | Real Madrid U18 | Unknown | Data unavailable |
| 1 Jul 2011 | R.Madrid Yth. | Real Madrid U17 | Unknown | Data unavailable |
| 1 Jul 2009 | Girona FC Youth | R.Madrid Yth. | 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.