TOTAL VOLUME:
$154.8b
24H VOL:
$277,138,640
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,905,404,943
412,077
Markets across
39,838
events
MATCHED EVENTS:
4,526
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 12:47 PM EST
Kalshi
These markets track the performance gap between Texas A&M and Missouri in the first quarter of their college football game. Outcomes depend on which team leads by a specific margin at the end of the initial 15-minute period.
All markets resolve based solely on points scored during the first quarter of play in the Texas A&M vs Missouri college football game scheduled for October 10, 2026. A 'Yes' outcome occurs if the specified team wins by more than the designated point margin within that timeframe. If the game is postponed but commences within 48 hours of the original start time, markets remain open and resolve according to the actual first-quarter result. Should the game fail to start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of subsequent game outcomes or rescheduling.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often aligning with but sometimes diverging from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows anyone to express their belief about the outcome. Discrepancies can arise due to differing information, biases, or simply variations in opinion. It’s common to see this market incorporate information faster than sportsbooks, especially as new developments emerge leading up to the game.
This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread of the first quarter between Texas A&M and Missouri will be used to determine which contracts payout. Specifically, the market will determine whether the actual spread falls within the ranges offered by the contracts traded on Kalshi. The outcome will be based on official game statistics, ensuring a transparent and verifiable result.
Several factors could influence the price of this market before the game concludes. Any news regarding injuries to key players on either the Texas A&M or Missouri teams would likely cause significant movement. Changes in weather forecasts, particularly if they are expected to impact the game’s style of play, could also shift predictions. Additionally, late-breaking news about team strategies or coaching decisions might affect how traders assess the likely spread. Public sentiment and analysis from sports commentators can also contribute to price fluctuations.