Netherlands
Who's most likely to win the EredivisieGolden 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 Eredivisie final standings probabilities.
| Player | NT | G | xG | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|---|---|
 A. Ueda | 🇯🇵 | 25 | 25.0 | 100.0 | ||||
 M. Godts | 🇧🇪 | 17 | 17.5 | 100.0 | ||||
 T. Parrott | Republic of Ireland | 16 | 16.0 | 100.0 | ||||
 R. Pepi | 🇺🇸 | 16 | 16.0 | 100.0 | ||||
 I. Saibari | 🇲🇦 | 15 | 15.0 | 100.0 | ||||
 G. Til | 🇳🇱 | 14 | 14.0 | |||||
 B. Linssen | 🇳🇱 | 12 | 12.0 | |||||
 J. Trenskow | 🇩🇰 | 12 | 12.4 | |||||
 K. Sierhuis | 🇳🇱 | 12 | 12.0 | |||||
 M. Suray | 🇧🇪 | 12 | 12.0 |
