Joe Scally
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Joe Scally's performance-implied value at EUR 5.3M-23.1M, above the estimated acquisition range of EUR 2.9M-7.2M. Its 24-month market value projection is EUR 3.5M-11.7M. Context-adjusted goal contributions are 0.92x the positional average in the league (2611 minutes, league coefficient 0.94). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.
Acquisition note: Final year of contract: selling club's leverage is reduced.
Bargain Index: 96
What drives the score. Not a black box: each component and its level.
| Performance | Above average | 70.5th pct among MID peers (age-neutral) |
| Age | Favorable | 23.5 years |
| Acquisition cost | Very favorable | est. €3.9M vs market €7.0M |
| Expected appreciation | Neutral | +6% over ~2 years (model) |
| Value gap | Very large | weak predictor on its own |
| Development | Moderate | |
| League translation | Big-five league | league coefficient 0.94 |
| Tactical fit | Not evaluated | Requires event/role data not available from the current free source. |
| Risk | Moderate | |
| 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
- 2611 (85% of available)
- Goals + assists / 90
- 0.17
- Context-adjusted G+A / 90
- 0.20
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 71 (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
- 0.94 (rank 3)
- Team strength (Elo)
- 1423
- Opponent strength
- 1485
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Moderate
- Trajectory
- improving
- Breakout probability
- Age > 23
- Resale range (24m)
- €3.5M – €11.7M
Trajectory drivers: role change RB -> RM; relative output up 208% vs positional peers.
Historical comparables (8): median 2-year value change +45% (IQR +3% to +94%).
Risk profile
Overall: Moderate
- ⚠Contract ends in 12 months: cheaper, but competition and wage demands likely.
- ⚠Projection range wider than for most evaluated players.
- ⓘ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 | Borussia Mönchengladbach | Bundesliga | RM | 32 | 2611 | 85% | 2 | 3 | 0.17 | 0.20 | 1485 | 1422 | 0.94 |
| 2024/25 | Borussia Mönchengladbach | Bundesliga | RB | 32 | 2588 | 85% | 0 | 0 | 0.00 | 0.04 | 1494 | 1427 | 0.94 |
| 2023/24 | Borussia Mönchengladbach | Bundesliga | RB | 31 | 2236 | 73% | 1 | 4 | 0.20 | 0.19 | 1520 | 1435 | 1.01 |
| 2022/23 | Borussia Mönchengladbach | Bundesliga | RB | 28 | 2216 | 72% | 0 | 0 | 0.00 | 0.04 | 1513 | 1499 | 1.04 |
| 2021/22 | Borussia Mönchengladbach | Bundesliga | RB | 30 | 1905 | 62% | 1 | 2 | 0.14 | 0.13 | 1501 | 1535 | 1.05 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Dfb Pokal | Borussia Mönchengladbach | 3 | 181 | 0 | 0 | — |
| 2025/26 | World Cup | United States | 2 | 87 | 0 | 0 | — |
| 2024/25 | Dfb Pokal | Borussia Mönchengladbach | 2 | 175 | 0 | 0 | — |
| 2023/24 | Dfb Pokal | Borussia Mönchengladbach | 4 | 309 | 0 | 0 | — |
| 2022/23 | Dfb Pokal | Borussia Mönchengladbach | 2 | 159 | 1 | 0 | — |
| 2021/22 | Dfb Pokal | Borussia Mönchengladbach | 3 | 226 | 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 |
|---|---|---|---|---|
| Alper Potuk Super Lig · 2013 | 22 | €6.5M | €8.0M | rose |
| Roberto Pereyra Serie A · 2014 | 23 | €10.0M | €17.0M | rose |
| Allan Serie A · 2014 | 23 | €7.5M | €16.0M | rose |
| Marten de Roon Serie A · 2016 | 25 | €5.0M | €14.0M | rose |
| Saphir Taïder Serie A · 2013 | 21 | €5.0M | €6.0M | rose |
| Giacomo Bonaventura Serie A · 2013 | 24 | €8.0M | €15.0M | rose |
| Hiroshi Kiyotake Bundesliga · 2014 | 25 | €7.0M | €4.5M | fell |
| Jon Moncayola Laliga · 2022 | 24 | €12.0M | €7.0M | fell |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 1 Jan 2021 | New York City | Mönchengladbach | €1.8M | €2.0M |
| 21 Mar 2018 | NYCFC Academy | New York City | 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.