Preseason projections for the 2026 College Football Playoff highlight a top tier of contenders led by Notre Dame, Ohio State, Oregon, Georgia, Miami, Texas, and defending champion Indiana, with strong support also for Texas Tech and BYU in many models. The 12-team field rewards conference champions and high-ranking at-large bids, favoring teams with elite returning production, experienced quarterbacks, and robust defensive lines amid Big Ten and SEC depth. Early September nonconference matchups and conference openers will quickly test roster reloads after heavy NFL departures, while transfer portal activity and injury updates shape depth charts. Schedule strength, home-field advantages, and rivalry implications remain key variables as the first CFP rankings approach.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · UpdatedIndiana
84%
Notre Dame
80%
Ohio St.
79%
Oregon
79%
Miami (FL)
64%
Missouri
51%
Georgia Tech
51%
Alabama
50%
Oklahoma
50%
Michigan
50%
Washington
50%
Clemson
50%
Iowa
50%
South Carolina
50%
Houston
50%
Virginia
50%
Pittsburgh
50%
Texas Tech
50%
Texas A&M
50%
Georgia
49%
Texas
49%
LSU
49%
Ole Miss
49%
BYU
49%
Tennessee
49%
Florida
49%
SMU
49%
Oklahoma St.
49%
Miami (OH)
49%
TCU
49%
North Carolina St.
49%
Vanderbilt
49%
Tulane
49%
USC
49%
Arizona
49%
Penn St.
48%
Kansas St.
48%
Virginia Tech
48%
Arizona St.
48%
Kentucky
48%
Florida St.
48%
North Texas
48%
James Madison
48%
Utah
48%
Arkansas
48%
California
47%
Illinois
47%
Baylor
47%
Louisville
23%
Auburn
22%
$0.00 Vol.
Indiana
84%
Notre Dame
80%
Ohio St.
79%
Oregon
79%
Miami (FL)
64%
Missouri
51%
Georgia Tech
51%
Alabama
50%
Oklahoma
50%
Michigan
50%
Washington
50%
Clemson
50%
Iowa
50%
South Carolina
50%
Houston
50%
Virginia
50%
Pittsburgh
50%
Texas Tech
50%
Texas A&M
50%
Georgia
49%
Texas
49%
LSU
49%
Ole Miss
49%
BYU
49%
Tennessee
49%
Florida
49%
SMU
49%
Oklahoma St.
49%
Miami (OH)
49%
TCU
49%
North Carolina St.
49%
Vanderbilt
49%
Tulane
49%
USC
49%
Arizona
49%
Penn St.
48%
Kansas St.
48%
Virginia Tech
48%
Arizona St.
48%
Kentucky
48%
Florida St.
48%
North Texas
48%
James Madison
48%
Utah
48%
Arkansas
48%
California
47%
Illinois
47%
Baylor
47%
Louisville
23%
Auburn
22%
If the selected team does not participate in the College Football Playoffs for any reason, this market will resolve "No".
If the College Football Playoff for the 2026 season is canceled or the participating teams cannot be determined by December 20, 2026 11:59 PM ET, this market will resolve "No".
The primary resolution source will be official information from the College Football Playoff (https://collegefootballplayoff.com); however, a consensus of credible reporting may also be used.
Market Opened: Sep 1, 2026, 11:58 AM ET
Resolver
0x65070BE91...If the selected team does not participate in the College Football Playoffs for any reason, this market will resolve "No".
If the College Football Playoff for the 2026 season is canceled or the participating teams cannot be determined by December 20, 2026 11:59 PM ET, this market will resolve "No".
The primary resolution source will be official information from the College Football Playoff (https://collegefootballplayoff.com); however, a consensus of credible reporting may also be used.
Resolver
0x65070BE91...Preseason projections for the 2026 College Football Playoff highlight a top tier of contenders led by Notre Dame, Ohio State, Oregon, Georgia, Miami, Texas, and defending champion Indiana, with strong support also for Texas Tech and BYU in many models. The 12-team field rewards conference champions and high-ranking at-large bids, favoring teams with elite returning production, experienced quarterbacks, and robust defensive lines amid Big Ten and SEC depth. Early September nonconference matchups and conference openers will quickly test roster reloads after heavy NFL departures, while transfer portal activity and injury updates shape depth charts. Schedule strength, home-field advantages, and rivalry implications remain key variables as the first CFP rankings approach.
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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