Early in the 2026 college football season, a crowded group of quarterbacks and skill players from playoff-contending programs keeps the Heisman market tightly bunched, with no single candidate separating from the pack. Darian Mensah’s Week 1 outburst—five touchdowns and 401 passing yards in Miami’s rout of Stanford—elevated him to the top of trader consensus, yet established names like CJ Carr, Arch Manning, Dante Moore, and Julian Sayin remain within striking distance on the strength of prior production and favorable schedules. LaNorris Sellers and others benefit from returning experience and scheme changes, while non-quarterbacks such as Jeremiah Smith and Malachi Toney add depth to the field. This balance of recent form, roster talent, and schedule strength sustains competitive implied probabilities across dozens of outcomes.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · UpdatedNCAA Football: 2026 Heisman Award Winner
Josh Hoover 49%
LaNorris Sellers 41.0%
Byrum Brown 39.6%
Ahmad Hardy 38.5%
Josh Hoover
49%
LaNorris Sellers
41%
Byrum Brown
40%
Ahmad Hardy
38%
Kewan Lacy
38%
Gunner Stockton
38%
Will Hammond
38%
Drew Mestemaker
37%
Marcel Reed
37%
Demond Williams Jr.
35%
Keelon Russell
26%
Austin Mack
26%
Sam Leavitt
25%
Rocco Becht
25%
Kevin Jennings
24%
Malachi Toney
24%
Bryce Underwood
23%
CJ Carr
24%
Dante Moore
32%
Arch Manning
13%
Jeremiah Smith
10%
Julian Sayin
8%
John Mateer
5%
Jaron-Keawe Sagapolutele
25%
Bo Jackson
23%
Darian Mensah
39%
Trinidad Chambliss
-
Jayden Maiava
33%
Brendan Sorsby
26%
Josh Hoover 49%
LaNorris Sellers 41.0%
Byrum Brown 39.6%
Ahmad Hardy 38.5%
Josh Hoover
49%
LaNorris Sellers
41%
Byrum Brown
40%
Ahmad Hardy
38%
Kewan Lacy
38%
Gunner Stockton
38%
Will Hammond
38%
Drew Mestemaker
37%
Marcel Reed
37%
Demond Williams Jr.
35%
Keelon Russell
26%
Austin Mack
26%
Sam Leavitt
25%
Rocco Becht
25%
Kevin Jennings
24%
Malachi Toney
24%
Bryce Underwood
23%
CJ Carr
24%
Dante Moore
32%
Arch Manning
13%
Jeremiah Smith
10%
Julian Sayin
8%
John Mateer
5%
Jaron-Keawe Sagapolutele
25%
Bo Jackson
23%
Darian Mensah
39%
Trinidad Chambliss
-
Jayden Maiava
33%
Brendan Sorsby
26%
If the ceremony is postponed after December 26, 2026, 11:59 PM ET, canceled, or a winner has not been announced within this timeframe, this market will resolve to "Other."
If multiple players are declared co-winners, this market will resolve in favor of the player whose listed name comes first alphabetically.
The resolution source for this market will be official information from the Heisman Trophy Trust (https://www.heisman.com); however, a consensus of credible reporting may also be used.
Market Opened: Jul 31, 2026, 6:35 PM ET
Resolver
0x69c47De9D...If the ceremony is postponed after December 26, 2026, 11:59 PM ET, canceled, or a winner has not been announced within this timeframe, this market will resolve to "Other."
If multiple players are declared co-winners, this market will resolve in favor of the player whose listed name comes first alphabetically.
The resolution source for this market will be official information from the Heisman Trophy Trust (https://www.heisman.com); however, a consensus of credible reporting may also be used.
Resolver
0x69c47De9D...Early in the 2026 college football season, a crowded group of quarterbacks and skill players from playoff-contending programs keeps the Heisman market tightly bunched, with no single candidate separating from the pack. Darian Mensah’s Week 1 outburst—five touchdowns and 401 passing yards in Miami’s rout of Stanford—elevated him to the top of trader consensus, yet established names like CJ Carr, Arch Manning, Dante Moore, and Julian Sayin remain within striking distance on the strength of prior production and favorable schedules. LaNorris Sellers and others benefit from returning experience and scheme changes, while non-quarterbacks such as Jeremiah Smith and Malachi Toney add depth to the field. This balance of recent form, roster talent, and schedule strength sustains competitive implied probabilities across dozens of outcomes.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated



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