England
Who's most likely to win the League OneGolden Boot, from 1,000 Monte Carlo simulations. Each player's current goals-per-90 rate is projected forward over their team's remaining fixtures, with minutes-per-appearance scaling the expected workload to match their actual usage pattern.
See the wider season picture in our League One final standings probabilities.
| Player | NT | G | xG | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|---|---|
 D. Ballard | 🏴 | 23 | 23.0 | 100.0 | ||||
 K. Wootton | 🏴 | 19 | 19.4 | 100.0 | ||||
 J. Wareham | 🏴 | 19 | 19.0 | 100.0 | ||||
 L. Tolaj | 🇨🇭 | 17 | 17.0 | 100.0 | ||||
 J. Marriott | 🏴 | 16 | 16.0 | 100.0 | ||||
 H. Leonard | 🏴 | 16 | 16.0 | |||||
 A. Pepple | 🇨🇦 | 16 | 16.0 | |||||
 D. McGoldrick | Republic of Ireland | 15 | 15.0 | |||||
 A. Fletcher | 🏴 | 15 | 15.0 | |||||
 Y. Salech | 🇩🇰 | 14 | 14.0 |
