
André Ayew
Value picture
Where the market, the likely price and the model estimates sit.
The model rates André Ayew's performance-implied value at EUR 0.1M-0.4M, above the estimated acquisition range of EUR 0.1M-0.4M. Its 24-month market value projection is EUR 0.2M-0.3M. Context-adjusted goal contributions are 0.74x the positional average in the league (881 minutes, league coefficient 0.43). Confidence is low: 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: not assigned
What drives the score. Not a black box: each component and its level.
Insufficient sample (< 900 league minutes)
| Performance | Average | 37.6th pct among ATT peers (age-neutral) |
| Age | Unfavorable | 36.5 years |
| Acquisition cost | Favorable | est. €159k vs market €250k |
| Expected appreciation | Neutral | +6% 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 | Very High | |
| Data confidence | Low |
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 901 evaluated ATT players with 900+ minutes.
Performance (last season, league)
- Minutes
- 881 (29% of available)
- Goals + assists / 90
- 0.10
- Context-adjusted G+A / 90
- 0.38
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 38 (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)
- 1118
- Opponent strength
- 1281
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Low
- Trajectory
- declining
- Breakout probability
- Age > 23
- Resale range (24m)
- €162k – €262k
Trajectory drivers: minutes share down 19 pts; changed club; team strength down (-216 Elo); league level down (-182 Elo).
Historical comparables (8): median 2-year value change +0% (IQR -34% to +0%).
Risk profile
Overall: Very High
- ▲Small sample: 881 league minutes last season.
- ▲Age 37: resale value typically declines.
- ⚠League level coefficient 0.43 (1.00 = big-five average): output may not translate.
- ⚠No continental-competition minutes last season.
- ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
- ⚠Declining trajectory versus previous season.
- ⓘ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
- 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 | NAC Breda | Eredivisie | ST | 17 | 881 | 29% | 1 | 0 | 0.10 | 0.38 | 1281 | 1118 | 0.43 |
| 2024/25 | Le Havre AC | Ligue 1 | ST | 27 | 1451 | 47% | 4 | 1 | 0.31 | 0.50 | 1450 | 1333 | 0.88 |
| 2023/24 | Le Havre AC | Ligue 1 | ST | 19 | 1105 | 36% | 5 | 0 | 0.41 | 0.56 | 1486 | 1351 | 0.87 |
| 2022/23 | Nottingham Forest | Premier League | LW | 13 | 307 | 9% | 0 | 0 | 0.00 | 0.47 | 1597 | 1433 | 1.23 |
| 2018/19 | Fenerbahce | Super Lig | RW | 29 | 2054 | 67% | 5 | 1 | 0.26 | 0.26 | 1377 | 1438 | 0.58 |
| 2017/18 | Swansea City | Premier League | ST | 12 | 951 | 28% | 0 | 3 | 0.28 | 0.49 | 1527 | 1421 | 1.15 |
| 2017/18 | West Ham United | Premier League | AM | 18 | 892 | 26% | 3 | 1 | 0.40 | 0.46 | 1511 | 1496 | 1.15 |
| 2016/17 | West Ham United | Premier League | AM | 25 | 1442 | 42% | 6 | 3 | 0.56 | 0.47 | 1535 | 1486 | 1.07 |
| 2015/16 | Swansea City | Premier League | RW | 34 | 2940 | 86% | 12 | 5 | 0.52 | 0.56 | 1546 | 1508 | 1.08 |
| 2014/15 | Olympique Marseille | Ligue 1 | LW | 28 | 2372 | 69% | 10 | 6 | 0.61 | 0.48 | 1426 | 1527 | 0.80 |
| 2013/14 | Olympique Marseille | Ligue 1 | LW | 25 | 2122 | 62% | 6 | 3 | 0.38 | 0.44 | 1490 | 1471 | 0.79 |
| 2012/13 | Olympique Marseille | Ligue 1 | ST | 35 | 3110 | 91% | 9 | 4 | 0.38 | 0.37 | 1452 | 1532 | 0.88 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2018/19 | Uefa Europa League | Fenerbahce | 5 | 290 | 0 | 1 | 1490 |
| 2018/19 | Uefa Champions League Qualifying | Fenerbahce | 1 | 90 | 0 | 0 | 1616 |
| 2017/18 | Fa Cup | West Ham United | 2 | 159 | 0 | 0 | — |
| 2013/14 | Uefa Champions League | Olympique Marseille | 4 | 360 | 2 | 1 | 1684 |
| 2012/13 | Uefa Europa League | Olympique Marseille | 4 | 295 | 1 | 1 | 1479 |
| 2012/13 | Uefa Europa League Qualifying | Olympique Marseille | 3 | 270 | 2 | 0 | 1378 |
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 |
|---|---|---|---|---|
| Volodymyr Lysenko Premier Liga · 2023 | 35 | €200k | €200k | flat |
| Oleg Yashchuk Jupiler Pro League · 2013 | 36 | €200k | €200k | flat |
| Georgios Manousos Super League 1 · 2023 | 36 | €150k | €100k | fell |
| Nathan Tyson Scottish Premiership · 2017 | 35 | €250k | €250k | flat |
| Fotis Georgiou Super League 1 · 2018 | 33 | €200k | €200k | flat |
| Steven MacLean Scottish Premiership · 2020 | 38 | €200k | €200k | flat |
| Gary Teale Scottish Premiership · 2014 | 36 | €400k | €250k | fell |
| Adis Jahovic Super Lig · 2022 | 35 | €275k | €25k | 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 | NAC Breda | Without Club | Unknown | €250k |
| 1 Jan 2026 | Without Club | NAC Breda | Unknown | €400k |
| 1 Jul 2025 | Le Havre AC | Without Club | Unknown | €600k |
| 4 Oct 2024 | Without Club | Le Havre AC | Unknown | €1.0M |
| 1 Jul 2024 | Le Havre AC | Without Club | Unknown | €1.0M |
| 11 Nov 2023 | Without Club | Le Havre AC | Unknown | €1.2M |
| 1 Jul 2023 | Nott'm Forest | Without Club | Unknown | €1.8M |
| 2 Feb 2023 | Al-Sadd | Nott'm Forest | Free / loan | €2.2M |
| 22 Jul 2021 | Swansea | Al-Sadd | Free / loan | €3.5M |
| 30 Jun 2019 | Fenerbahçe | Swansea | Free / loan | €6.0M |
| 27 Jul 2018 | Swansea | Fenerbahçe | Free / loan | €15.0M |
| 31 Jan 2018 | West Ham | Swansea | €22.8M | €18.0M |
| 8 Aug 2016 | Swansea | West Ham | €24.1M | €18.0M |
| 1 Jul 2015 | Marseille | Swansea | Free / loan | €13.0M |
| 30 Jun 2010 | AC Arles-Avignon | Marseille | Free / loan | €1.0M |
| 31 Aug 2009 | Marseille | AC Arles-Avignon | Free / loan | €1.2M |
| 30 Jun 2009 | FC Lorient | Marseille | Free / loan | €1.2M |
| 11 Aug 2008 | Marseille | FC Lorient | Free / loan | €1.0M |
| 1 Jul 2007 | Marseille U19 | Marseille | Unknown | Data unavailable |
| 1 Jul 2006 | Marseille U17 | Marseille U19 | Unknown | Data unavailable |
| 1 Jul 2005 | Nania FC Youth | Marseille U17 | 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.