FOOTGolden Boot › Champions League
2026-27
Champions League Golden Boot 2026-27: AI race predictions
Who wins the Champions League Golden Boot 2026-27? The official scorer table plus 10,000 AI season simulations: win probabilities, projected final tallies and the record chase — updated after every round.
10 scorers on the official board · probabilities from 10,000 season simulations · kick-off switches to your time zone
| # | Player | Team | Goals | Assists | Apps | Left | Proj. | Win % |
|---|---|---|---|---|---|---|---|---|
| 1 | Erling Haaland | Manchester City FC | 4 | 0 | 3 | 2 | 6.7 | 38% |
| 2 | Sehrou Guirassy | Borussia Dortmund | 4 (1P) | 0 | 3 | 2 | 6.3 | 26% |
| 3 | Ermedin Demirovic | VfB Stuttgart | 4 | 0 | 3 | 1 | 5.1 | 6% |
| 4 | Nicolo Tresoldi | Club Brugge KV | 4 (2P) | 0 | 3 | 1 | 5.1 | 6% |
| 5 | Luis Suárez | Sporting Clube de Portugal | 4 (2P) | 0 | 3 | 1 | 5.1 | 5% |
| 6 | Harry Kane | FC Bayern München | 4 (2P) | 2 | 3 | 0 | 4.0 | <1% |
| 7 | Kylian Mbappé | Real Madrid CF | 3 | 1 | 3 | 2 | 5.2 | 10% |
| 8 | Nicolas Jackson | Aston Villa FC | 3 | 0 | 3 | 2 | 4.7 | 5% |
| 9 | Ousmane Dembélé | Paris Saint-Germain FC | 3 | 3 | 3 | 1 | 4.1 | 1% |
| 10 | Alexis Mac Allister | Liverpool FC | 3 | 0 | 3 | 1 | 4.1 | 1% |
All-time single-season record: 17 goals — Cristiano Ronaldo, 2013-14.
How the projections work
The Footalytics AI engine simulates the rest of the season 10,000 times. Machine-rated opponent strength weights every remaining fixture, Bayesian calibration keeps small samples honest, injuries and rotation are priced in as uncertainty — refreshed automatically after every round by the same engine that grades every match prediction in public.
Assumptions: scoring rates from this season's official scorer table, opponent strength from team ratings, an appearance probability per game, and no January transfers. Probabilities are model projections, not facts — the table itself is official data.