Max Watters
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Max Watters's performance-implied value at EUR 0.4M-0.7M, above the estimated acquisition range of EUR 0.1M-0.5M. Its 24-month market value projection is EUR 0.3M-0.6M. Context-adjusted goal contributions are 0.89x the positional average in the league (1113 minutes, league coefficient 0.31). 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: 87
What drives the score. Not a black box: each component and its level.
| Performance | Below average | 8.2th pct among ATT peers (age-neutral) |
| Age | Neutral | 27.3 years |
| Acquisition cost | Favorable | est. €271k vs market €400k |
| Expected appreciation | Neutral | +3% over ~2 years (model) |
| Value gap | Large | weak predictor on its own |
| Development | Low | |
| League translation | Uncertain | league coefficient 0.31 |
| 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
- 1113 (38% of available)
- Goals + assists / 90
- 0.32
- Context-adjusted G+A / 90
- 0.45
- 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
- 0.31 (rank 26)
- Team strength (Elo)
- 1178
- Opponent strength
- 1216
- 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)
- €253k – €554k
Historical comparables (8): median 2-year value change -26% (IQR -65% to +7%).
Risk profile
Overall: High
- ▲League level coefficient 0.31 (1.00 = big-five average): output may not translate.
- ⚠Limited sample: 1113 league minutes last season.
- ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
- ⓘ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
- 12 (ATT)
- Relative output kept
- 75%–114%
- Held a regular role (900+ min)
- 67%
- 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 | Dundee United FC | Scottish Premiership | ST | 20 | 1113 | 37% | 2 | 2 | 0.32 | 0.45 | 1216 | 1177 | 0.31 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Conference League Qualifying | Dundee United FC | 4 | 193 | 3 | 0 | 1340 |
| 2025/26 | Scottish Fa Cup | Dundee United FC | 3 | 190 | 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 |
|---|---|---|---|---|
| Felipe Rodrigues Premier Liga · 2024 | 29 | €400k | €400k | flat |
| Jonah Ayunga Scottish Premiership · 2024 | 27 | €450k | €350k | fell |
| Dorin Rotariu Super League 1 · 2022 | 27 | €500k | €350k | fell |
| Aminu Umar Super Lig · 2022 | 27 | €500k | €175k | fell |
| Amir Agayev Super League 1 · 2021 | 29 | €400k | €100k | fell |
| Oliver Thychosen Superliga · 2020 | 27 | €300k | €100k | fell |
| Vladyslav Sharay Premier Liga · 2023 | 26 | €300k | €400k | rose |
| Nikolaos Vergos Super League 1 · 2021 | 25 | €200k | €450k | rose |
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 | Barnsley | Without Club | Unknown | €400k |
| 30 Jun 2026 | Dundee United | Barnsley | Free / loan | €400k |
| 18 Jul 2025 | Barnsley | Dundee United | Free / loan | €400k |
| 24 Jul 2023 | Cardiff | Barnsley | €330k | €300k |
| 31 May 2023 | Barnsley | Cardiff | Free / loan | €300k |
| 5 Jan 2023 | Cardiff | Barnsley | Free / loan | €400k |
| 1 Jan 2022 | MK Dons | Cardiff | Free / loan | €150k |
| 8 Jul 2021 | Cardiff | MK Dons | Free / loan | €150k |
| 16 Jan 2021 | Crawley Town | Cardiff | €1.0M | Data unavailable |
| 10 Oct 2020 | Doncaster | Crawley Town | Free / loan | Data unavailable |
| 21 Mar 2020 | Maidstone | Doncaster | Free / loan | Data unavailable |
| 21 Feb 2020 | Doncaster | Maidstone | Free / loan | Data unavailable |
| 27 Oct 2019 | Mickleover | Doncaster | Free / loan | Data unavailable |
| 27 Sept 2019 | Doncaster | Mickleover | Free / loan | Data unavailable |
| 17 Feb 2019 | Gainsborough | Doncaster | Free / loan | Data unavailable |
| 18 Jan 2019 | Doncaster | Gainsborough | Free / loan | Data unavailable |
| 8 Sept 2018 | Grantham | Doncaster | Free / loan | Data unavailable |
| 9 Aug 2018 | Doncaster | Grantham | Free / loan | Data unavailable |
| 1 Jul 2018 | Ashford Utd | Doncaster | 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.