TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 28, 8:38 PM EST
Kalshi
This market focuses on predicting which team will lead after the first quarter of an upcoming football game between Arizona and Green Bay. It captures the early momentum by determining whether Green Bay, Arizona, or neither (a tie) will have the most points at the end of the first quarter.
If Green Bay wins the 1st Quarter of the Arizona vs Green Bay Pro Football game originally scheduled for Aug 28, 2026, then the market resolves to Yes. If Arizona wins the 1st Quarter of the Arizona vs Green Bay Pro Football game originally scheduled for Aug 28, 2026, then the market resolves to Yes. If neither team wins the 1st Quarter of the Arizona vs Green Bay Pro Football game originally scheduled for Aug 28, 2026, then the market resolves to Yes.
On Kalshi, this market reflects trader sentiment rather than traditional sportsbook lines. Prediction market odds often diverge from sportsbook odds due to different participant motivations and information sources. Traders may price in nuances such as recent performance trends or weather conditions that sportsbooks might not fully incorporate. Additionally, prediction market odds can be more volatile leading up to the event as new information emerges, while sportsbook lines may adjust less frequently. The difference in pricing can also reflect the unique structure of this market, which focuses specifically on the first quarter outcome rather than the full game result.
This market resolves around Aug 29, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winner is determined by which team is leading at the end of the first quarter, providing a clear and timely resolution for all participants.
Several key signals could impact this market before Aug 29, 2026. Injuries to key players, changes in starting lineups, or weather conditions affecting game performance might shift trader sentiment. Strategic decisions by coaches, such as offensive or defensive scheme adjustments for the first quarter, could also influence odds. Moreover, pre-game media reports highlighting recent practice performances or motivational factors may cause fluctuations. As the event draws nearer, any significant news regarding team preparation or player availability will likely drive volume and price movements, reflecting updated expectations for the first quarter's outcome.