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, 1:42 PM EST
Kalshi
This set of markets focuses on predicting the point differential in the first half of an upcoming college football game. Each market corresponds to a specific margin of victory, allowing participants to bet on whether the outcome will exceed that margin.
All markets resolve based solely on points scored during the first half of the Texas A&M vs Missouri college football game scheduled for October 10, 2026. For any market where the specified team wins by more than the stated point margin in the first half, that market resolves to Yes; otherwise, it resolves to No. If the game is postponed but commences within 48 hours of its original scheduled start time, all markets remain open and resolve according to the official first-half result. If the game fails to start within the 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants under these conditions.
Typically, prediction market odds reflect the wisdom of the crowd, often aligning closely with sportsbook odds, but with key differences. Sportsbooks incorporate a 'vig' or commission into their odds, ensuring a profit margin, while Kalshi allows traders to directly bet against each other, potentially leading to more efficient pricing. However, sportsbook odds are heavily influenced by public betting patterns, and this market can sometimes diverge if traders anticipate different factors influencing the game’s first half spread. It’s common to see prediction markets react more quickly to new information.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the first half. The price of each contract reflects the probability of that spread occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to set prices accurately, as they profit from correctly predicting the outcome. As more traders participate, the price converges towards what the market believes is the true probability of each spread. This dynamic pricing mechanism ensures that the market reflects the collective intelligence of those trading it.
This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the final point spread for the first half of the Texas A&M vs Missouri game will be used to determine which contracts pay out. The resolution will be based on official game statistics, ensuring accuracy and fairness. Traders holding contracts on the correct spread will receive a payout, while those on incorrect spreads will forfeit their investment. The exact payout will depend on the price paid for the contract.
Several factors could significantly impact this market. Any news regarding key player injuries for either Texas A&M or Missouri would likely cause a shift in the spread. Changes in weather forecasts, particularly if they suggest adverse conditions impacting the passing or running game, could also move the market. Unexpected coaching decisions or strategic adjustments announced before kickoff might influence trader sentiment. Finally, large volume trades on Kalshi itself, indicating strong conviction from informed traders, can also cause noticeable price movements.