
Ayase Ueda
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Ayase Ueda's performance-implied value at EUR 2.4M-10.1M, below the estimated acquisition range of EUR 11.4M-22.2M. Its 24-month market value projection is EUR 8.2M-17.7M. Context-adjusted goal contributions are 1.01x the positional average in the league (2534 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.
Bargain Index: 12
What drives the score. Not a black box: each component and its level.
| Performance | Above average | 67.5th pct among ATT peers (age-neutral) |
| Age | Neutral | 27.8 years |
| Acquisition cost | Favorable | est. €14.3M vs market €17.0M |
| Expected appreciation | Very low | -42% over ~2 years (model) |
| Value gap | Very negative | 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 | 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
- 2534 (83% of available)
- Goals + assists / 90
- 0.96
- Context-adjusted G+A / 90
- 0.52
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 68 (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
- 0.43 (rank 15)
- Team strength (Elo)
- 1423
- Opponent strength
- 1296
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Low
- Trajectory
- improving
- Breakout probability
- Age > 23
- Resale range (24m)
- €8.2M – €17.7M
Trajectory drivers: minutes share up 43 pts; team strength down (-142 Elo); relative output up 48% vs positional peers.
Historical comparables (8): median 2-year value change -57% (IQR -67% to -24%).
Risk profile
Overall: Low
- ⚠League level coefficient 0.43 (1.00 = big-five average): output may not translate.
- ⓘ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 | Feyenoord Rotterdam | Eredivisie | ST | 31 | 2534 | 83% | 25 | 2 | 0.96 | 0.51 | 1296 | 1423 | 0.43 |
| 2024/25 | Feyenoord Rotterdam | Eredivisie | ST | 21 | 1204 | 39% | 7 | 1 | 0.60 | 0.36 | 1326 | 1565 | 0.50 |
| 2023/24 | Feyenoord Rotterdam | Eredivisie | ST | 26 | 815 | 27% | 5 | 2 | 0.77 | 0.32 | 1316 | 1593 | 0.48 |
| 2022/23 | Cercle Brugge | Jupiler Pro League | ST | 34 | 2735 | 89% | 18 | 1 | 0.63 | 0.58 | 1308 | 1373 | 0.58 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Europa League | Feyenoord Rotterdam | 6 | 435 | 1 | 0 | 1468 |
| 2025/26 | World Cup | Japan | 3 | 234 | 2 | 1 | — |
| 2025/26 | Uefa Champions League Qualifying | Feyenoord Rotterdam | 2 | 167 | 0 | 0 | 1497 |
| 2025/26 | Knvb Beker | Feyenoord Rotterdam | 1 | 90 | 0 | 0 | — |
| 2024/25 | Uefa Champions League | Feyenoord Rotterdam | 8 | 383 | 2 | 0 | 1676 |
| 2024/25 | Knvb Beker | Feyenoord Rotterdam | 1 | 69 | 0 | 0 | — |
| 2024/25 | Johan Cruijff Schaal | Feyenoord Rotterdam | 1 | 21 | 0 | 1 | 1659 |
| 2023/24 | Uefa Champions League | Feyenoord Rotterdam | 5 | 148 | 0 | 0 | 1647 |
| 2023/24 | Knvb Beker | Feyenoord Rotterdam | 4 | 136 | 0 | 0 | — |
| 2023/24 | Uefa Europa League | Feyenoord Rotterdam | 2 | 105 | 0 | 0 | 1581 |
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 |
|---|---|---|---|---|
| Mateo Cassierra Premier Liga · 2024 | 27 | €11.0M | €8.0M | fell |
| Dimitrios Pelkas Super Lig · 2021 | 28 | €7.0M | €2.8M | fell |
| Georgios Masouras Super League 1 · 2022 | 28 | €10.0M | €4.0M | fell |
| Caleb Ekuban Super Lig · 2021 | 27 | €7.0M | €1.3M | fell |
| Trezeguet Super Lig · 2023 | 29 | €11.0M | €5.0M | fell |
| Michy Batshuayi Super Lig · 2022 | 29 | €10.0M | €8.5M | flat |
| Andreas Cornelius Super Lig · 2022 | 29 | €9.0M | €1.0M | fell |
| Paul Onuachu Superliga · 2019 | 25 | €6.0M | €20.0M | rose |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 3 Aug 2023 | Cercle Brugge | Feyenoord | €8.0M | €6.0M |
| 1 Jul 2022 | Kashima Antlers | Cercle Brugge | €1.3M | €1.5M |
| 26 Jul 2019 | Hosei Univ. | Kashima Antlers | Free / loan | €100k |
| 25 Jul 2019 | Kashima Antlers | Hosei Univ. | Free / loan | €100k |
| 15 Feb 2019 | Hosei Univ. | Kashima Antlers | Free / loan | Data unavailable |
| 1 Apr 2017 | High School (J) | Hosei Univ. | 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.