Who wins the Golden Boot
Per the live tournament data, Kylian Mbappé (France) leads with 6 goals and 2 assists, followed by Lionel Messi, Erling Haaland, Harry Kane. The board updates after every match.
Source: live MD-N reconciled (ESPN) · Last updated: 3 Jul 2026, 20:07 UTC
Golden Boot probability board
- 4Ousmane DembéléFrance · 4 goals · 2 assists7.6%
- 5Mikel OyarzabalSpain · 4 goals7.4%
- 6Vinícius JúniorBrazil · 4 goals6.4%
- 7Erling HaalandNorway · 5 goals3.9%
- 8Ismaïla SarrSenegal · 4 goals2.6%
- 9Kai HavertzGermany · 3 goals2.6%
- 10Cristiano RonaldoPortugal · 3 goals2.5%
Probabilities derive from current stats × team's expected remaining matches via the 10,000-run Monte Carlo simulator, normalised across the field. Methodology →
Top 15 board
LIVE · GOALS + ASSISTS FROM EVENT TIMELINE
| # | PLAYER | GOALS | ASSISTS | CONTRIB |
|---|---|---|---|---|
| 1 | Kylian Mbappé France | 6 | 2 | 7.0 |
| 2 | Lionel Messi Argentina | 6 | 0 | 6.0 |
| 3 | Erling Haaland Norway | 5 | 0 | 5.0 |
| 4 | Harry Kane England | 5 | 0 | 5.0 |
| 5 | Ousmane Dembélé France | 4 | 2 | 5.0 |
| 6 | Ismaïla Sarr Senegal | 4 | 0 | 4.0 |
| 7 | Mikel Oyarzabal Spain | 4 | 0 | 4.0 |
| 8 | Vinícius Júnior Brazil | 4 | 0 | 4.0 |
| 9 | Cody Gakpo Netherlands | 3 | 0 | 3.0 |
| 10 | Cristiano Ronaldo Portugal | 3 | 0 | 3.0 |
| 11 | Ismael Saibari Morocco | 3 | 0 | 3.0 |
| 12 | Jonathan David Canada | 3 | 0 | 3.0 |
| 13 | Julián Quiñones Mexico | 3 | 0 | 3.0 |
| 14 | Kai Havertz Germany | 3 | 0 | 3.0 |
| 15 | Yoane Wissa DR Congo | 3 | 0 | 3.0 |
How the projection works
Two ingredients combined into one number. Projected contribution draws on each player's continental-league form, role and goal-involvement track-record — covering LaLiga, Bundesliga, Serie A, Ligue 1, MLS, the Saudi Pro League and the Premier League so the board isn't skewed toward one division. Matches expected is the nation's probability of reaching each tournament round, drawn from the live Monte Carlo simulator.
Multiply, sort descending. The board captures the truth most listicles miss: a high-output forward whose nation exits in the group stage scores fewer goals than a steady finisher who plays five or six tournament matches. Once games kick off the board flips to live goals + assists. More on our process at /world-cup-2026/methodology.
Who is favourite to win the Golden Boot at World Cup 2026?›
Onside's pre-tournament Golden Boot board ranks the top contenders across all 48 qualified nations — not just Premier League players. The shortlist is led by France's Kylian Mbappé, Norway's Erling Haaland, Brazil's Vinícius Júnior, Spain's Lamine Yamal, and England's Harry Kane and Jude Bellingham, each playing for a team with a deep-run probability that maximises expected matches. Once matches kick off, the board swaps to live goals + assists from the event timeline and updates after every fixture.
How does the Onside Golden Boot prediction model work?›
Two ingredients combined. First, each player has a projected per-90 contribution drawn from continental-league form, role, and goal-involvement priors — covering LaLiga, Bundesliga, Serie A, Ligue 1, MLS, the Saudi Pro League and the Premier League so non-PL stars are properly weighted. Second, the player's nation has an expected number of matches played, derived from the 5,000-run Monte Carlo simulator. The product is the projected tournament goal contribution. Once matches are played the board flips to real-time goals + assists from the event timeline.
Does the Golden Boot include assists?›
FIFA's Golden Boot tiebreaker uses goals first, then assists. The Onside board ranks by total goal contribution (goals + 0.5 × assists) — the heuristic that best captures pre-tournament uncertainty about who finishes the goal. Once matches are played, the leaderboard splits goals + assists distinctly so the FIFA tiebreaker is visible.
How often does the Golden Boot board update?›
Every match. Pre-tournament the board uses model projections; once any WC 2026 match finishes, the football-data.org event timeline kicks in and the board swaps to real-time goals + assists with a small ISR refresh. The "model said vs reality" split lands on /world-cup-2026/model-record alongside the match-prediction calibration.
Has a non-European or non-South American player ever won the Golden Boot?›
Once. Salvatore Schillaci of Italy won 1990, James Rodríguez of Colombia won 2014, Harry Kane of England won 2018, Kylian Mbappé of France won 2022 — recent winners have all been UEFA or CONMEBOL. The pre-tournament model has no AFC or CAF player in the top 10, which is consistent with the historical pattern.
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