
Pablo Álvarez
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Pablo Álvarez's performance-implied value at EUR 0.3M-1.0M, above the estimated acquisition range of EUR 0.0M-0.4M. Its 24-month market value projection is EUR 0.4M-1.1M. Context-adjusted goal contributions are 1.61x the positional average in the league (1010 minutes, league coefficient 0.25). 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 ends within 6 months: can sign a pre-contract; small or no fee.
Bargain Index: 78
What drives the score. Not a black box: each component and its level.
| Performance | Below average | 16.4th pct among MID peers (age-neutral) |
| Age | Unfavorable | 29.2 years |
| Acquisition cost | Very favorable | est. €61k vs market €1.2M |
| Expected appreciation | Very low | -34% over ~2 years (model) |
| Value gap | Very large | weak predictor on its own |
| Development | Low | |
| League translation | Uncertain | league coefficient 0.25 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | Very 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
- 1010 (37% of available)
- Goals + assists / 90
- 0.27
- Context-adjusted G+A / 90
- 0.20
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 16 (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
- 0.25 (rank 30)
- Team strength (Elo)
- 1213
- Opponent strength
- 1175
- 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)
- €377k – €1.1M
Trajectory drivers: minutes share down 43 pts; relative output up 151% vs positional peers.
Historical comparables (8): median 2-year value change -37% (IQR -59% to -6%).
Risk profile
Overall: Very High
- ▲League level coefficient 0.25 (1.00 = big-five average): output may not translate.
- ⚠Limited sample: 1010 league minutes last season.
- ⚠No continental-competition minutes last season.
- ⚠Contract ends in 6 months: cheaper, but competition and wage demands likely.
- ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
- ⓘ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
- 37 (all positions)
- Relative output kept
- 87%–128%
- Held a regular role (900+ min)
- 86%
- 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 | Karpaty Lviv | Premier Liga | DM | 13 | 1010 | 37% | 2 | 1 | 0.27 | 0.20 | 1175 | 1213 | 0.25 |
| 2024/25 | Karpaty Lviv | Premier Liga | DM | 26 | 2180 | 81% | 0 | 1 | 0.04 | 0.08 | 1224 | 1185 | 0.28 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2024/25 | Ukrainian Cup | Karpaty Lviv | 2 | 180 | 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 |
|---|---|---|---|---|
| Pavlo Orikhovskyi Premier Liga · 2024 | 28 | €500k | €400k | fell |
| Aias Aosman Super League 1 · 2023 | 29 | €600k | €250k | fell |
| Juan Muñiz Super League 1 · 2021 | 29 | €450k | €450k | flat |
| Deybi Flores Super League 1 · 2023 | 27 | €500k | €800k | rose |
| Vladyslav Kalitvintsev Premier Liga · 2023 | 30 | €800k | €400k | fell |
| Luis Fernández Super League 1 · 2021 | 28 | €600k | €550k | flat |
| Fernando Boldrin Super Lig · 2021 | 32 | €1.0M | €200k | fell |
| Sean Goss Super League 1 · 2024 | 29 | €500k | €200k | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 5 Feb 2026 | Karpaty Lviv | Aktobe | Free / loan | €1.2M |
| 1 Jul 2024 | Cherno More | Karpaty Lviv | Free / loan | €600k |
| 1 Jul 2023 | HNK Rijeka | Cherno More | Free / loan | €250k |
| 1 Jul 2022 | Cherno More | HNK Rijeka | Free / loan | €550k |
| 22 Jan 2021 | Without Club | Cherno More | Unknown | €100k |
| 1 Jul 2020 | Alavés B | Without Club | Unknown | €100k |
| 30 Jun 2019 | San Ignacio | Alavés B | Free / loan | Data unavailable |
| 1 Jan 2019 | Alavés B | San Ignacio | Free / loan | Data unavailable |
| 29 Jan 2018 | FC Villarreal C | Alavés B | Free / loan | Data unavailable |
| 1 Jul 2016 | Villarreal U19 | FC Villarreal C | Unknown | Data unavailable |
| 1 Jul 2014 | Roda U19 | Villarreal U19 | Unknown | Data unavailable |
| 1 Jul 2013 | Sporting Yth. | Roda U19 | 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.