2026 World Cup Golden Boot Odds: Full Player List
The 2026 World Cup Golden Boot race is shaping up to be one of the most wide-open in recent memory. With the expanded 48-team format meaning more group stage matches and a larger knockout bracket, top strikers will have more opportunities than ever to pile up goals across a longer tournament run.
France's Kylian Mbappe headlines the early betting markets, joined by England's Harry Kane, Erling Haaland of Norway and a resurgent Lionel Messi hoping to cap his international career with one final scoring title. But with 100-plus players listed across every competing nation, value can be found well beyond the frontrunners.
Below is the complete 2026 World Cup Golden Boot odds list for 100-plus players, sourced from major sportsbooks. Each player's odds are paired with their national team's probability to win their group, reach the final and win the tournament, context that matters a lot in a competition where games played directly drives goal tallies.
For the tactical context behind these odds, who takes penalties, free kicks and corners for each team, see our complete group previews.
The 2026 World Cup begins June 11 and RotoWire will be releasing projections, game previews, lineups and more in the weeks and months leading up to the tournament.
2026 World Cup Golden Boot Favorites
Kylian Mbappe (+600) is the consensus favorite and for good reason. France are priced second in the tournament winner odds, meaning Mbappe is likely to play deep into July.
Harry Kane (+700) has spent his international career waiting for a tournament run to match his club output, and England are genuine contenders this cycle.
Lionel Messi (+1200) enters what is almost certainly his final World Cup still capable of decisive moments even if the goal volumes of his peak years are behind him.
Erling Haaland (+1400) is the most interesting name in the top five. Norway are not expected to go deep, which means Haaland needs to be extraordinary in a short window.
Lamine Yamal (+1800) may be the best value in the top 10. Spain have the highest implied probability of any team to win the group and reach the final, meaning Yamal should have the most matches of any player near the top of these odds. The latest update is that he'll be healthy, or close to it, for Spain's first game.
2026 World Cup Golden Boot Odds
| Rank | Player | Country | Golden Boot (American) | GB Implied % | Win Group Implied % | Reach Final Implied % | To Win Implied % |
|---|---|---|---|---|---|---|---|
| 1 | Kylian Mbappe | France | 600 | 14.3% | 69.7% | 25.0% | 16.7% |
| 2 | Harry Kane | England | 700 | 12.5% | 76.2% | 25.0% | 13.3% |
| 3 | Lionel Messi | Argentina | 1200 | 7.7% | 77.3% | 19.0% | 10.0% |
| 4 | Erling Haaland | Norway | 1400 | 6.7% | 26.7% | 7.7% | 3.2% |
| 5 | Lamine Yamal | Spain | 1800 | 5.3% | 81.8% | 31.3% | 17.4% |
| 6 | Mikel Oyarzabal | Spain | 1800 | 5.3% | 81.8% | 31.3% | 17.4% |
| 7 | Cristiano Ronaldo | Portugal | 2000 | 4.8% | 69.7% | 16.7% | 9.1% |
| 8 | Vinicius Junior | Brazil | 2200 | 4.3% | 78.7% | 20.0% | 11.1% |
| 9 | Lautaro Martinez | Argentina | 2500 | 3.8% | 77.3% | 19.0% | 10.0% |
| 10 | Ousmane Dembele | France | 2800 | 3.4% | 69.7% | 25.0% | 16.7% |
| 11 | Romelu Lukaku | Belgium | 3000 | 3.2% | 69.7% | 7.7% | 2.8% |
| 12 | Raphinha | Brazil | 3000 | 3.2% | 78.7% | 20.0% | 11.1% |
| 13 | Nick Woltemade | Germany | 3500 | 2.8% | 75.6% | 15.4% | 6.7% |
| 14 | Julian Alvarez | Argentina | 3500 | 2.8% | 77.3% | 19.0% | 10.0% |
| 15 | Alvaro Morata | Spain | 3500 | 2.8% | 81.8% | 31.3% | 17.4% |
| 16 | Richarlison | Brazil | 3500 | 2.8% | 78.7% | 20.0% | 11.1% |
| 17 | Joao Pedro | Brazil | 3500 | 2.8% | 78.7% | 20.0% | 11.1% |
| 18 | Cody Gakpo | Netherlands | 4000 | 2.4% | 56.5% | 10.0% | 4.8% |
| 19 | Bukayo Saka | England | 4000 | 2.4% | 76.2% | 25.0% | 13.3% |
| 20 | Memphis Depay | Netherlands | 4000 | 2.4% | 56.5% | 10.0% | 4.8% |
| 21 | Ferran Torres | Spain | 4000 | 2.4% | 81.8% | 31.3% | 17.4% |
| 22 | Mikel Merino | Spain | 4000 | 2.4% | 81.8% | 31.3% | 17.4% |
| 23 | Igor Thiago | Belgium | 4000 | 2.4% | 69.7% | 7.7% | 2.8% |
| 24 | Jean-Philippe Mateta | France | 5000 | 2.0% | 69.7% | 25.0% | 16.7% |
| 25 | Jude Bellingham | England | 5000 | 2.0% | 76.2% | 25.0% | 13.3% |
| 26 | Goncalo Ramos | Portugal | 5000 | 2.0% | 69.7% | 16.7% | 9.1% |
| 27 | Florian Wirtz | Germany | 5000 | 2.0% | 75.6% | 15.4% | 6.7% |
| 28 | Marcus Thuram | France | 5000 | 2.0% | 69.7% | 25.0% | 16.7% |
| 29 | Neymar | Brazil | 5000 | 2.0% | 78.7% | 20.0% | 11.1% |
| 30 | Bruno Fernandes | Portugal | 5000 | 2.0% | 69.7% | 16.7% | 9.1% |
| 31 | Luis Diaz | Colombia | 5000 | 2.0% | 29.4% | 5.3% | 2.4% |
| 32 | Desire Doue | France | 5000 | 2.0% | 69.7% | 25.0% | 16.7% |
| 33 | Mohamed Salah | Egypt | 5000 | 2.0% | 20.0% | 1.2% | 0.3% |
| 34 | Kai Havertz | Germany | 5000 | 2.0% | 75.6% | 15.4% | 6.7% |
| 35 | Dani Olmo | Spain | 5000 | 2.0% | 81.8% | 31.3% | 17.4% |
| 36 | Deniz Undav | Germany | 5000 | 2.0% | 75.6% | 15.4% | 6.7% |
| 37 | Viktor Gyokeres | Sweden | 5000 | 2.0% | 18.2% | 2.0% | 1.0% |
| 38 | Enner Valencia | Ecuador | 6500 | 1.5% | 22.2% | 2.8% | 1.2% |
| 39 | Donyell Malen | Netherlands | 6500 | 1.5% | 56.5% | 10.0% | 4.8% |
| 40 | Morgan Rogers | England | 6500 | 1.5% | 76.2% | 25.0% | 13.3% |
| 41 | Santiago Gimenez | Mexico | 6500 | 1.5% | 52.4% | 3.8% | 1.2% |
| 42 | Darwin Nunez | Uruguay | 6500 | 1.5% | 21.3% | 4.8% | 2.0% |
| 43 | Eberechi Eze | England | 6500 | 1.5% | 76.2% | 25.0% | 13.3% |
| 44 | Lois Openda | Belgium | 6500 | 1.5% | 69.7% | 7.7% | 2.8% |
| 45 | Jamal Musiala | Germany | 6500 | 1.5% | 75.6% | 15.4% | 6.7% |
| 46 | Leandro Trossard | Belgium | 6500 | 1.5% | 69.7% | 7.7% | 2.8% |
| 47 | Marcus Rashford | England | 6500 | 1.5% | 76.2% | 25.0% | 13.3% |
| 48 | Matheus Cunha | Brazil | 6500 | 1.5% | 78.7% | 20.0% | 11.1% |
| 49 | Alexander Sorloth | Norway | 6500 | 1.5% | 26.7% | 7.7% | 3.2% |
| 50 | Alexander Isak | Sweden | 6500 | 1.5% | 18.2% | 2.0% | 1.0% |
| 51 | Folarin Balogun | USA | 8000 | 1.2% | 44.4% | 5.3% | 1.6% |
| 52 | Kevin De Bruyne | Belgium | 8000 | 1.2% | 69.7% | 7.7% | 2.8% |
| 53 | Christian Pulisic | USA | 8000 | 1.2% | 44.4% | 5.3% | 1.6% |
| 54 | Anthony Gordon | England | 8000 | 1.2% | 76.2% | 25.0% | 13.3% |
| 55 | Rafael Leao | Portugal | 8000 | 1.2% | 69.7% | 16.7% | 9.1% |
| 56 | Jeremy Doku | Belgium | 8000 | 1.2% | 69.7% | 7.7% | 2.8% |
| 57 | Sadio Mane | Senegal | 8000 | 1.2% | 11.8% | 2.4% | 1.1% |
| 58 | Leroy Sane | Germany | 8000 | 1.2% | 75.6% | 15.4% | 6.7% |
| 59 | Jhon Duran | Colombia | 8000 | 1.2% | 29.4% | 5.3% | 2.4% |
| 60 | Raul Jimenez | Mexico | 8000 | 1.2% | 52.4% | 3.8% | 1.2% |
| 61 | Ante Budimir | Croatia | 8000 | 1.2% | 22.2% | 3.4% | 1.2% |
| 62 | Brian Brobbey | Netherlands | 8000 | 1.2% | 56.5% | 10.0% | 4.8% |
| 63 | Christoph Baumgartner | Austria | 8000 | 1.2% | 18.2% | 2.4% | 0.7% |
| 64 | Ollie Watkins | England | 8000 | 1.2% | 76.2% | 25.0% | 13.3% |
| 65 | Omar Marmoush | Egypt | 10000 | 1.0% | 20.0% | 1.2% | 0.3% |
| 66 | Arda Guler | Turkey | 10000 | 1.0% | 33.3% | 3.8% | 1.0% |
| 67 | Mohammed Kudus | Ghana | 10000 | 1.0% | 9.1% | 1.2% | 0.3% |
| 68 | Nicolas Jackson | Senegal | 10000 | 1.0% | 11.8% | 2.4% | 1.1% |
| 69 | Jonathan David | Canada | 10000 | 1.0% | 33.3% | 2.4% | 0.5% |
| 70 | Kenan Yildiz | Turkey | 10000 | 1.0% | 33.3% | 3.8% | 1.0% |
| 71 | Pedro Neto | Portugal | 10000 | 1.0% | 69.7% | 16.7% | 9.1% |
| 72 | Haji Wright | USA | 10000 | 1.0% | 44.4% | 5.3% | 1.6% |
| 73 | Nico Williams | Spain | 10000 | 1.0% | 81.8% | 31.3% | 17.4% |
| 74 | Ricardo Pepi | USA | 10000 | 1.0% | 44.4% | 5.3% | 1.6% |
| 75 | Scott McTominay | Scotland | 10000 | 1.0% | 9.1% | 1.2% | 0.5% |
| 76 | Bradley Barcola | France | 10000 | 1.0% | 69.7% | 25.0% | 16.7% |
| 77 | Casemiro | Brazil | 10000 | 1.0% | 78.7% | 20.0% | 11.1% |
| 78 | Charles De Ketelaere | Belgium | 10000 | 1.0% | 69.7% | 7.7% | 2.8% |
| 79 | Gabriel Martinelli | Brazil | 10000 | 1.0% | 78.7% | 20.0% | 11.1% |
| 80 | Rayan Cherki | France | 10000 | 1.0% | 69.7% | 25.0% | 16.7% |
| 81 | Breel Embolo | Switzerland | 12000 | 0.8% | 55.6% | 5.3% | 1.5% |
| 82 | Ismaila Sarr | Senegal | 15000 | 0.7% | 11.8% | 2.4% | 1.1% |
| 83 | Hamza Igamane | Morocco | 15000 | 0.7% | 21.3% | 4.3% | 2.0% |
| 84 | Noa Lang | Netherlands | 15000 | 0.7% | 56.5% | 10.0% | 4.8% |
| 85 | Hirving Lozano | Mexico | 15000 | 0.7% | 52.4% | 3.8% | 1.2% |
| 86 | Lee Kang-In | South Korea | 15000 | 0.7% | 25.0% | 1.5% | 0.2% |
| 87 | Enzo Fernandez | Argentina | 15000 | 0.7% | 77.3% | 19.0% | 10.0% |
| 88 | Jorgen Strand Larsen | Norway | 15000 | 0.7% | 26.7% | 7.7% | 3.2% |
| 89 | Riyad Mahrez | Algeria | 15000 | 0.7% | 12.5% | 1.5% | 0.3% |
| 90 | James Rodriguez | Colombia | 15000 | 0.7% | 29.4% | 5.3% | 2.4% |
| 91 | Brahim Diaz | Morocco | 15000 | 0.7% | 21.3% | 4.3% | 2.0% |
| 92 | Andrej Kramaric | Croatia | 15000 | 0.7% | 22.2% | 3.4% | 1.2% |
| 93 | Jhon Arias | Colombia | 15000 | 0.7% | 29.4% | 5.3% | 2.4% |
| 94 | Ange-Yoan Bonny | Ivory Coast | 15000 | 0.7% | 14.3% | 1.2% | 0.4% |
| 95 | Ivan Toney | England | 15000 | 0.7% | 76.2% | 25.0% | 13.3% |
| 96 | Julian Quinones | Mexico | 15000 | 0.7% | 52.4% | 3.8% | 1.2% |
| 97 | Pedri | Spain | 20000 | 0.5% | 81.8% | 31.3% | 17.4% |
| 98 | Che Adams | Scotland | 20000 | 0.5% | 9.1% | 1.2% | 0.5% |
| 99 | Chris Wood | New Zealand | 20000 | 0.5% | 3.8% | 0.3% | 0.1% |
| 100 | Oscar Bobb | Norway | 20000 | 0.5% | 26.7% | 7.7% | 3.2% |
| 101 | Cyle Larin | Canada | 20000 | 0.5% | 33.3% | 2.4% | 0.5% |
| 102 | Martin Odegaard | Norway | 20000 | 0.5% | 26.7% | 7.7% | 3.2% |
| 103 | Daizen Maeda | Japan | 20000 | 0.5% | 27.8% | 3.8% | 1.5% |
| 104 | Amad Diallo | Ivory Coast | 20000 | 0.5% | 14.3% | 1.2% | 0.4% |
| 105 | Denzel Dumfries | Netherlands | 20000 | 0.5% | 56.5% | 10.0% | 4.8% |
| 106 | Ermedin Demirovic | Bosnia | 20000 | 0.5% | 19.0% | 1.2% | 0.2% |
| 107 | Lawrence Shankland | Scotland | 20000 | 0.5% | 9.1% | 1.2% | 0.5% |
| 108 | Lucas Paqueta | Brazil | 20000 | 0.5% | 78.7% | 20.0% | 11.1% |
| 109 | Nicolas Pepe | Ivory Coast | 20000 | 0.5% | 14.3% | 1.2% | 0.4% |
| 110 | Noah Okafor | Switzerland | 20000 | 0.5% | 55.6% | 5.3% | 1.5% |
| 111 | Zeki Amdouni | Switzerland | 20000 | 0.5% | 55.6% | 5.3% | 1.5% |
| 112 | Giovanni Reyna | USA | 25000 | 0.4% | 44.4% | 5.3% | 1.6% |
| 113 | Julio Enciso | Paraguay | 25000 | 0.4% | 20.0% | 1.5% | 0.3% |
| 114 | Achraf Hakimi | Morocco | 25000 | 0.4% | 21.3% | 4.3% | 2.0% |
| 115 | Anthony Elanga | Sweden | 25000 | 0.4% | 18.2% | 2.0% | 1.0% |
| 116 | Cedric Bakambu | DR Congo | 25000 | 0.4% | 8.3% | 0.7% | 0.1% |
| 117 | Dan Ndoye | Switzerland | 25000 | 0.4% | 55.6% | 5.3% | 1.5% |
| 118 | Marcel Sabitzer | Austria | 25000 | 0.4% | 18.2% | 2.4% | 0.7% |
| 119 | Yoane Wissa | DR Congo | 25000 | 0.4% | 8.3% | 0.7% | 0.1% |
| 120 | Brenden Aaronson | USA | 50000 | 0.2% | 44.4% | 5.3% | 1.6% |
| 121 | John McGinn | Scotland | 50000 | 0.2% | 9.1% | 1.2% | 0.5% |
| 122 | Lyle Foster | South Africa | 50000 | 0.2% | 7.7% | 0.4% | 0.1% |
For team-level tournament probabilities, see our full 2026 World Cup winner odds.
How World Cup Golden Boot Odds Work
Sportsbooks assign odds based on a player's scoring rate, expected minutes, role in the team's attack and how deep their national team is projected to advance in the tournament. Players on teams expected to reach the knockout rounds or the final typically have stronger Golden Boot odds because they will play more matches and have more opportunities to score. The Golden Boot tiebreaker uses assists first, then fewest yellow cards, to separate players level on goals at the end of the tournament.
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