
Mikey Moore
Value picture
Where the market, the likely price and the model estimates sit.
The model rates Mikey Moore's performance-implied value at EUR 5.3M-38.2M, below the estimated acquisition range of EUR 14.4M-28.4M. Its 24-month market value projection is EUR 11.1M-34.1M. Context-adjusted goal contributions are 0.77x the positional average in the league (1783 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.
Bargain Index: 50
What drives the score. Not a black box: each component and its level.
| Performance | Above average | 69.4th pct among ATT peers (age-neutral) |
| Age | Very favorable | 18.9 years |
| Acquisition cost | Unfavorable | est. €21.3M vs market €18.0M |
| Expected appreciation | High | +19% over ~2 years (model) |
| Value gap | Negative | weak predictor on its own |
| Development | Moderate | breakout probability 16% |
| League translation | Uncertain | league coefficient 0.31 |
| 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 900 evaluated ATT players with 900+ minutes.
Performance (last season, league)
- Minutes
- 1783 (60% of available)
- Goals + assists / 90
- 0.40
- Context-adjusted G+A / 90
- 0.31
- xG, xA, progression
- Data unavailable
- Defensive actions
- Data unavailable
- Performance percentile
- 69 (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
- 0.31 (rank 26)
- Team strength (Elo)
- 1427
- Opponent strength
- 1217
- Possession, role
- Data unavailable
League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.
Potential
- Development
- Moderate
- Trajectory
- insufficient
- Breakout probability
- 16%
- Resale range (24m)
- €11.1M – €34.1M
Historical comparables (8): median 2-year value change +55% (IQR -17% to +138%).
Risk profile
Overall: Moderate
- ▲League level coefficient 0.31 (1.00 = big-five average): output may not translate.
- ⚠Limited sample: 1783 league minutes last season.
- ⓘ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 | Rangers FC | Scottish Premiership | LW | 28 | 1783 | 60% | 6 | 2 | 0.40 | 0.31 | 1217 | 1427 | 0.31 |
| 2024/25 | Tottenham Hotspur | Premier League | LW | 10 | 361 | 11% | 0 | 1 | 0.25 | 0.35 | 1561 | 1564 | 1.23 |
| 2023/24 | Tottenham Hotspur | Premier League | LW | 2 | 3 | 0% | 0 | 0 | 0.00 | 0.35 | 1506 | 1588 | 1.14 |
Cups & continental competitions
| Season | Competition | Club | Apps | Min | G | A | Avg opp. Elo |
|---|---|---|---|---|---|---|---|
| 2025/26 | Uefa Europa League | Rangers FC | 7 | 286 | 0 | 0 | 1524 |
| 2025/26 | Scottish Fa Cup | Rangers FC | 3 | 115 | 0 | 0 | — |
| 2025/26 | Uefa Champions League Qualifying | Rangers FC | 1 | 20 | 0 | 0 | 1585 |
| 2024/25 | Uefa Europa League | Tottenham Hotspur | 5 | 307 | 1 | 1 | 1481 |
| 2024/25 | Fa Cup | Tottenham Hotspur | 2 | 114 | 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 |
|---|---|---|---|---|
| Ibrahim Osman Superliga · 2024 | 20 | €12.0M | €7.0M | fell |
| Gustav Isaksen Superliga · 2022 | 21 | €4.5M | €12.0M | rose |
| Yari Verschaeren Jupiler Pro League · 2022 | 21 | €13.0M | €8.5M | fell |
| Konstantin Tyukavin Premier Liga · 2022 | 20 | €7.0M | €16.0M | rose |
| Mohamed Daramy Superliga · 2021 | 19 | €4.0M | €6.0M | rose |
| Andreas Schjelderup Superliga · 2024 | 20 | €10.0M | €30.0M | rose |
| Manfred Ugalde Eredivisie · 2024 | 22 | €7.5M | €12.0M | rose |
| Manor Solomon Premier Liga · 2021 | 22 | €20.0M | €18.0M | flat |
Transfer history
Fees as reported by the source; undisclosed fees shown as unknown, never estimated.
| Date | From | To | Fee | MV at time |
|---|---|---|---|---|
| 30 Jun 2026 | Rangers | Tottenham | Free / loan | €18.0M |
| 1 Aug 2025 | Tottenham | Rangers | Free / loan | €18.0M |
| 1 Jul 2024 | Spurs U18 | Tottenham | Unknown | Data unavailable |
| 1 Jul 2023 | Tottenham Yth. | Spurs U18 | 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.