
Salomón Rondón
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Salomón Rondón's performance-implied value at EUR 0.3M-2.0M, above the estimated acquisition range of EUR 0.2M-0.4M. Its 24-month market value projection is EUR 0.2M-0.4M. Context-adjusted goal contributions are 0.99x the positional average in the league (1038 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: Around 18 months left: some discount usually possible.
Bargain Index: not assigned
What drives the score. Not a black box: each component and its level.
Age above 33 (outside validated pool)
| Performance | Above average | 60.7th pct among ATT peers (age-neutral) |
| Age | Unfavorable | 36.8 years |
| Acquisition cost | Very favorable | est. €207k vs market €350k |
| Expected appreciation | Neutral | +8% over ~2 years (model) |
| Value gap | Very 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 | 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
- 1038 (30% of available)
- Goals + assists / 90
- 0.17
- Context-adjusted G+A / 90
- 0.50
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 61 (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 8)
- Team strength (Elo)
- 1294
- Opponent strength
- 1514
- 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)
- €238k – €371k
Historical comparables (8): median 2-year value change +0% (IQR -55% to +0%).
Risk profile
Overall: High
- ▲Age 37: resale value typically declines.
- ⚠Limited sample: 1038 league minutes last season.
- ⚠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).
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 | Real Oviedo | Laliga | ST | 16 | 1038 | 30% | 2 | 0 | 0.17 | 0.50 | 1514 | 1294 | 0.95 |
| 2022/23 | Everton FC | Premier League | ST | 7 | 104 | 3% | 0 | 0 | 0.00 | 0.48 | 1468 | 1475 | 1.23 |
| 2021/22 | Everton FC | Premier League | ST | 20 | 783 | 23% | 1 | 1 | 0.23 | 0.41 | 1537 | 1474 | 1.17 |
| 2020/21 | PFK CSKA Moskva | Premier Liga | ST | 10 | 743 | 28% | 4 | 2 | 0.73 | 0.52 | 1315 | 1383 | 0.55 |
| 2018/19 | Newcastle United | Premier League | ST | 32 | 2608 | 76% | 11 | 7 | 0.62 | 0.65 | 1542 | 1532 | 1.22 |
| 2017/18 | West Bromwich Albion | Premier League | ST | 36 | 2773 | 81% | 7 | 3 | 0.32 | 0.50 | 1554 | 1426 | 1.15 |
| 2016/17 | West Bromwich Albion | Premier League | ST | 38 | 2896 | 85% | 8 | 2 | 0.31 | 0.40 | 1536 | 1445 | 1.07 |
| 2015/16 | West Bromwich Albion | Premier League | ST | 34 | 2567 | 75% | 9 | 3 | 0.42 | 0.52 | 1535 | 1447 | 1.08 |
| 2015/16 | AO FK Zenit Sankt-Peterburg | Premier Liga | ST | 1 | 8 | 0% | 0 | 0 | 0.00 | 0.43 | 1559 | 1629 | 0.79 |
| 2014/15 | AO FK Zenit Sankt-Peterburg | Premier Liga | ST | 26 | 1516 | 56% | 13 | 3 | 0.95 | 0.52 | 1443 | 1663 | 0.88 |
| 2013/14 | FC Rubin Kazan | Premier Liga | ST | 11 | 853 | 32% | 6 | 1 | 0.74 | 0.50 | 1462 | 1534 | 0.92 |
| 2013/14 | AO FK Zenit Sankt-Peterburg | Premier Liga | ST | 10 | 752 | 28% | 7 | 3 | 1.20 | 0.59 | 1471 | 1650 | 0.92 |
| 2012/13 | FC Rubin Kazan | Premier Liga | ST | 25 | 1859 | 69% | 7 | 1 | 0.39 | 0.39 | 1403 | 1552 | 0.88 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2021/22 | Fa Cup | Everton FC | 2 | 207 | 2 | 0 | — |
| 2020/21 | Russian Cup | PFK CSKA Moskva | 3 | 136 | 0 | 0 | — |
| 2017/18 | Fa Cup | West Bromwich Albion | 2 | 180 | 2 | 0 | — |
| 2016/17 | Fa Cup | West Bromwich Albion | 1 | 90 | 0 | 0 | — |
| 2015/16 | Fa Cup | West Bromwich Albion | 5 | 414 | 1 | 1 | — |
| 2015/16 | Russian Super Cup | AO FK Zenit Sankt-Peterburg | 1 | 56 | 0 | 0 | 1513 |
| 2014/15 | Uefa Europa League | AO FK Zenit Sankt-Peterburg | 6 | 519 | 3 | 0 | 1610 |
| 2014/15 | Uefa Champions League | AO FK Zenit Sankt-Peterburg | 6 | 432 | 1 | 0 | 1637 |
| 2014/15 | Uefa Champions League Qualifying | AO FK Zenit Sankt-Peterburg | 4 | 255 | 2 | 1 | 1432 |
| 2014/15 | Russian Cup | AO FK Zenit Sankt-Peterburg | 2 | 144 | 1 | 0 | — |
| 2013/14 | Uefa Europa League Qualifying | FC Rubin Kazan | 5 | 424 | 4 | 0 | 1344 |
| 2013/14 | Uefa Europa League | FC Rubin Kazan | 3 | 165 | 2 | 0 | 1401 |
| 2013/14 | Uefa Champions League | AO FK Zenit Sankt-Peterburg | 2 | 118 | 1 | 1 | 1726 |
| 2012/13 | Uefa Europa League | FC Rubin Kazan | 12 | 947 | 5 | 1 | 1484 |
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 |
|---|---|---|---|---|
| Jérémy Blayac Ligue 1 · 2018 | 35 | €250k | €250k | flat |
| Sergio Floccari Serie A · 2019 | 38 | €300k | €100k | fell |
| José Callejón Laliga · 2024 | 37 | €800k | €800k | flat |
| Yoann Touzghar Ligue 1 · 2022 | 36 | €600k | €300k | fell |
| Goran Pandev Serie A · 2017 | 34 | €400k | €400k | flat |
| Grégory Pujol Ligue 1 · 2016 | 36 | €250k | €250k | flat |
| Gerald Asamoah Bundesliga · 2013 | 35 | €400k | €100k | fell |
| Erjon Bogdani Serie A · 2013 | 36 | €200k | €200k | flat |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 31 Dec 2025 | Real Oviedo | Pachuca | Free / loan | €400k |
| 3 Jul 2025 | Pachuca | Real Oviedo | Free / loan | €750k |
| 1 Jan 2024 | River Plate | Pachuca | Free / loan | €1.0M |
| 30 Jan 2023 | Everton | River Plate | Free / loan | €2.0M |
| 31 Aug 2021 | DL Pro | Everton | Free / loan | €5.0M |
| 30 Jun 2021 | CSKA Moscow | DL Pro | Free / loan | €6.0M |
| 15 Feb 2021 | DL Pro | CSKA Moscow | Free / loan | €6.5M |
| 19 Jul 2019 | West Brom | DL Pro | €18.3M | €15.0M |
| 31 May 2019 | Newcastle | West Brom | Free / loan | €15.0M |
| 6 Aug 2018 | West Brom | Newcastle | Free / loan | €13.0M |
| 10 Aug 2015 | Zenit S-Pb | West Brom | €17.0M | €15.0M |
| 31 Jan 2014 | Rubin Kazan | Zenit S-Pb | €18.0M | €11.0M |
| 5 Aug 2012 | Málaga CF | Rubin Kazan | €9.0M | €9.0M |
| 19 Jul 2010 | UD Las Palmas | Málaga CF | €3.5M | €1.0M |
| 21 Jul 2008 | Aragua FC | UD Las Palmas | Free / loan | Data unavailable |
| 1 Jan 2007 | Aragua FC U20 | Aragua FC | 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.