The 2026 NFL Week 1 interceptions leader market remains tightly bunched because a full slate of starting quarterbacks faces diverse defensive pressures, pass-rush matchups, and scheme adjustments without established early-season trends. Several teams feature new or returning signal-callers navigating travel (including the Australia contest) and varying offensive line health, while established passers like Josh Allen, Lamar Jackson, and Joe Burrow open against stout fronts that historically generate takeaways. Interception volume in a single week is inherently volatile, driven more by opponent coverage schemes, weather, and execution variance than by consistent individual skill edges. With no dominant historical outlier and limited sample data, trader consensus assigns comparable implied probabilities across dozens of options, underscoring the unpredictable nature of turnovers in the opening slate.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日Sam Darnold 74%
Drew Lock 69%
Stetson Bennett IV 49%
Tua Tagovailoa 47%
Sam Darnold
74%
Drew Lock
69%
Stetson Bennett IV
49%
Tua Tagovailoa
47%
Matthew Stafford
45%
Brock Purdy
45%
Mac Jones
35%
Kyle Allen
26%
Tyler Huntley
26%
C.J. Stroud
26%
Anthony Richardson Sr.
26%
Trevor Lawrence
26%
Jarrett Stidham
26%
Justin Fields
26%
Justin Herbert
26%
Dak Prescott
26%
Jalen Hurts
26%
Jayden Daniels
26%
J.J. McCarthy
26%
Spencer Rattler
26%
Baker Mayfield
26%
Jalon Daniels
26%
Kyle McCord
26%
Josh Allen
25%
Drake Maye
25%
Tommy DeVito
25%
Geno Smith
25%
Lamar Jackson
25%
Joe Burrow
25%
Joe Flacco
25%
Aaron Rodgers
25%
Mason Rudolph
25%
Davis Mills
25%
Daniel Jones
25%
Cam Ward
25%
Mitchell Trubisky
25%
Bo Nix
25%
Patrick Mahomes
25%
Kirk Cousins
25%
Jameis Winston
25%
Caleb Williams
25%
Tyson Bagent
25%
Jared Goff
25%
Jordan Love
25%
Kenny Pickett
25%
Malik Willis
24%
Cade Klubnik
24%
Shedeur Sanders
24%
Quinn Ewers
24%
Trey Lance
24%
Sam Howell
24%
Andy Dalton
24%
Jaxson Dart
24%
Kyler Murray
24%
Michael Penix Jr.
24%
Jacoby Brissett
24%
Gardner Minshew II
24%
Deshaun Watson
24%
Fernando Mendoza
24%
Marcus Mariota
24%
Joshua Dobbs
24%
Tyrod Taylor
24%
Bryce Young
24%
Tyler Shough
24%
Sam Darnold 74%
Drew Lock 69%
Stetson Bennett IV 49%
Tua Tagovailoa 47%
Sam Darnold
74%
Drew Lock
69%
Stetson Bennett IV
49%
Tua Tagovailoa
47%
Matthew Stafford
45%
Brock Purdy
45%
Mac Jones
35%
Kyle Allen
26%
Tyler Huntley
26%
C.J. Stroud
26%
Anthony Richardson Sr.
26%
Trevor Lawrence
26%
Jarrett Stidham
26%
Justin Fields
26%
Justin Herbert
26%
Dak Prescott
26%
Jalen Hurts
26%
Jayden Daniels
26%
J.J. McCarthy
26%
Spencer Rattler
26%
Baker Mayfield
26%
Jalon Daniels
26%
Kyle McCord
26%
Josh Allen
25%
Drake Maye
25%
Tommy DeVito
25%
Geno Smith
25%
Lamar Jackson
25%
Joe Burrow
25%
Joe Flacco
25%
Aaron Rodgers
25%
Mason Rudolph
25%
Davis Mills
25%
Daniel Jones
25%
Cam Ward
25%
Mitchell Trubisky
25%
Bo Nix
25%
Patrick Mahomes
25%
Kirk Cousins
25%
Jameis Winston
25%
Caleb Williams
25%
Tyson Bagent
25%
Jared Goff
25%
Jordan Love
25%
Kenny Pickett
25%
Malik Willis
24%
Cade Klubnik
24%
Shedeur Sanders
24%
Quinn Ewers
24%
Trey Lance
24%
Sam Howell
24%
Andy Dalton
24%
Jaxson Dart
24%
Kyler Murray
24%
Michael Penix Jr.
24%
Jacoby Brissett
24%
Gardner Minshew II
24%
Deshaun Watson
24%
Fernando Mendoza
24%
Marcus Mariota
24%
Joshua Dobbs
24%
Tyrod Taylor
24%
Bryce Young
24%
Tyler Shough
24%
Only games designated by the NFL as Week 1 of the 2026-27 regular season count.
In the event of a tie, this market will resolve in favor of the tied player with a higher interception percentage (interceptions thrown divided by pass attempts) in Week 1 of the 2026-27 NFL regular season. If a tie still persists, this market will resolve in favor of the player with fewer passing touchdowns in Week 1 of the 2026-27 NFL regular season. If a tie still persists, this market will resolve to "Other".
If Week 1 of the 2026-27 NFL regular season is shortened or truncated for any reason, the outcome shall be determined using available NFL statistics for completed games.
If Week 1 of the 2026-27 NFL regular season is cancelled, postponed past September 30, 2026, 11:59 PM ET, or it is unclear which player led the NFL in interceptions thrown within that timeframe, this market will resolve to "Other".
The resolution source for this market will be official information from the NFL; however, a consensus of credible reporting may also be used.
マーケット開始日: Sep 9, 2026, 4:36 PM ET
リゾルバー
0x69c47De9D...Only games designated by the NFL as Week 1 of the 2026-27 regular season count.
In the event of a tie, this market will resolve in favor of the tied player with a higher interception percentage (interceptions thrown divided by pass attempts) in Week 1 of the 2026-27 NFL regular season. If a tie still persists, this market will resolve in favor of the player with fewer passing touchdowns in Week 1 of the 2026-27 NFL regular season. If a tie still persists, this market will resolve to "Other".
If Week 1 of the 2026-27 NFL regular season is shortened or truncated for any reason, the outcome shall be determined using available NFL statistics for completed games.
If Week 1 of the 2026-27 NFL regular season is cancelled, postponed past September 30, 2026, 11:59 PM ET, or it is unclear which player led the NFL in interceptions thrown within that timeframe, this market will resolve to "Other".
The resolution source for this market will be official information from the NFL; however, a consensus of credible reporting may also be used.
リゾルバー
0x69c47De9D...The 2026 NFL Week 1 interceptions leader market remains tightly bunched because a full slate of starting quarterbacks faces diverse defensive pressures, pass-rush matchups, and scheme adjustments without established early-season trends. Several teams feature new or returning signal-callers navigating travel (including the Australia contest) and varying offensive line health, while established passers like Josh Allen, Lamar Jackson, and Joe Burrow open against stout fronts that historically generate takeaways. Interception volume in a single week is inherently volatile, driven more by opponent coverage schemes, weather, and execution variance than by consistent individual skill edges. With no dominant historical outlier and limited sample data, trader consensus assigns comparable implied probabilities across dozens of options, underscoring the unpredictable nature of turnovers in the opening slate.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日


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