TOTAL VOLUME:
$154.3b
24H VOL:
$228,458,490
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,879,276,037
410,833
Markets across
40,345
events
MATCHED EVENTS:
4,363
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 8:15 PM EST
Kalshi
This set of markets focuses on predicting the point differential in the first quarter of a college football game between Oklahoma State and Houston. Each market corresponds to a specific point margin threshold, allowing participants to speculate on how decisively either team might lead early in the game.
All markets resolve based solely on points scored during the first quarter of the Oklahoma St. vs Houston college football game scheduled for October 17, 2026. A market resolves to 'Yes' if the specified team wins the first quarter by more than the stated point margin. If the game is postponed but commences within 48 hours of the original start time, the markets remain active 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. The outcome depends exclusively on first-quarter performance, with no consideration given to the full game result.
Typically, prediction market odds tend to align with sportsbook odds, as both reflect public sentiment and informed betting. However, prediction markets can sometimes diverge, particularly as new information emerges or as different groups of participants weigh factors differently. Sportsbooks may also adjust their lines based on liability and promotional considerations, while this market is driven purely by supply and demand among traders. It's common to see prediction markets offer a more accurate forecast, especially closer to the event, as they aggregate a wider range of perspectives than a single sportsbook.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their belief about the Oklahoma St vs Houston spread. The price of a contract reflects the probability of that outcome occurring. As more traders buy into a particular outcome, the price increases, and vice-versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust expectations as the event draws nearer. The current price represents the collective wisdom of the crowd, expressed as a probability.
This market resolves around Oct 18, 2026, with the outcome confirmed once the final first quarter spread of the Oklahoma St vs Houston game is verifiable from credible public reporting. The resolution will be based on the official result reported by the governing body of college football. Any adjustments or corrections made to the official score after the initial reporting will be taken into consideration for accurate market settlement. Traders holding contracts on the correct side of the spread will receive a payout, while those on the incorrect side will forfeit their investment.
Several factors could significantly influence this market. News regarding key player injuries for either Oklahoma St or Houston would likely cause a shift in the spread. Unexpected weather forecasts impacting playing conditions could also move the market. Late-breaking news about team strategies or coaching changes could also play a role. Even significant public betting patterns in sportsbooks, while not directly reflected here, can sometimes influence trader sentiment. Any developments that alter perceptions of each team’s chances of covering the spread have the potential to create volatility in this market.