TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 9, 10:13 PM EST
Kalshi
These markets track the performance of quarterbacks Sam Darnold and Drake Maye in a specific football game, focusing on how many passing touchdowns each player achieves. The outcomes depend entirely on the in-game statistics of the respective quarterbacks, reflecting their offensive contributions during the match.
All markets resolve based on the number of passing touchdowns recorded by either Sam Darnold or Drake Maye in the New England vs Seattle Pro Football game scheduled for Sep 9, 2026. For any market, if the specified quarterback is active but does not take a snap, the market settles at the fair market price determined before the game starts. Once a quarterback takes at least one snap—even if the play is nullified by a penalty—the market resolves according to the actual passing touchdowns recorded during the game. Each market has a specific threshold (1+, 2+, 3+, or 4+ passing touchdowns), and if the quarterback meets or exceeds that threshold, the market resolves to Yes; otherwise, it resolves to No. These rules apply independently to each quarterback and each threshold, allowing for multiple markets to resolve simultaneously based on the same game performance.
This market resolves around Sep 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final passing touchdown count from the game determines which contracts are settled, based on official box scores and league statistics that are widely reported and accessible after the match concludes.
Injuries to key quarterbacks, changes in coaching strategy, weather conditions on game day, and evolving team performance trends could all shift trader sentiment and move this market. Pre-game news, practice reports, and analyst updates will also influence perceptions of passing efficiency and scoring potential, affecting how traders price various outcome probabilities as the event approaches.