TOTAL VOLUME:

$154.1b

24H VOL:

$185,665,189

24H TRANSACTIONS:

2,983,476,643

OPEN INTEREST:

$1,833,875,329

407,365

Markets across

40,470

events

MATCHED EVENTS:

4,365

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Oklahoma St. vs Houston: 1st Half Total
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What is the result of Oklahoma St. vs Houston?

Outcome
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Price
Spread
Liquidity
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24h
7d
Open Interest
Ends in
Result

Description

This set of markets tracks the total points scored by both teams in the first half of an upcoming college football game. Each market corresponds to a different threshold of points, allowing participants to speculate on whether the combined score will exceed specific values.

Kalshi

All markets resolve based on the total points scored by both teams during the first half of the Oklahoma St. vs Houston college football game scheduled for Oct 17, 2026. For each market, if the combined first-half points exceed the specified threshold, the market resolves to Yes; otherwise, it resolves to No. If the game is postponed but commences within 48 hours of the original start time, the markets remain active and resolve according to the official result. If the game does not start within 48 hours of its scheduled time, all markets will resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific point threshold they selected.

Frequently asked questions

On Kalshi, the dashboard for the Oklahoma State-Houston first half market tracks the current price, price history, and 24-hour trading volume. You’ll find a visual representation of how the price has fluctuated over time, allowing you to assess market sentiment. The current 24-hour volume, which is $101,870, indicates how actively traders are participating in this market. Total volume to date is $106,274. This information helps you understand where others stand on the likely total score in the first half of the game.

Generally, prediction market odds tend to reflect the wisdom of the crowd, often incorporating information and analysis from a wider range of sources than traditional sportsbooks. Sportsbook odds are typically set by a smaller team of experts, and can be influenced by factors like house bias or promotional offers. While sportsbooks may initially offer different odds, this market often converges towards a more accurate probability as more information becomes available and more traders participate. Comparing the two can be a useful exercise in understanding differing perspectives on the event’s outcome.

On Kalshi, this market is priced through a continuous order book, where traders buy and sell contracts representing their beliefs about whether the first half total will be over or under a certain number. The price of these contracts directly reflects the probability of that outcome, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders enter the market with differing opinions, the price adjusts to find an equilibrium point that represents the collective expectation. This dynamic pricing mechanism allows for a real-time assessment of the potential first half total.

This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final first half total score of the Oklahoma State versus Houston game will be used to determine whether the market settles on the 'over' or 'under' side. The resolution will be based on the official game statistics as reported by a trusted sports data source. Traders will then be paid out based on their positions in the market, reflecting the accuracy of their predictions.

Several factors could influence the price of this market. Any news regarding key player injuries for either Oklahoma State or Houston would likely cause significant movement. Changes in weather conditions, particularly if they are expected to impact scoring, could also shift the market. Late-breaking news about team strategies or coaching decisions might also play a role. Even public sentiment, reflected in betting trends and social media discussions, can contribute to price fluctuations in this market as traders react to new information.