TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 5:32 PM EST
Kalshi
This set of markets focuses on predicting the margin of victory for either Texas or Oklahoma specifically within the second quarter of their college football game. Each market corresponds to a different point differential threshold that must be exceeded by the winning team during that quarter alone.
These markets resolve based on the point differential by which either Texas or Oklahoma wins during the second quarter of the game scheduled for October 10, 2026. Each market has a specific threshold that the winning team's score must exceed for a 'Yes' resolution. Only points scored in the second quarter count toward these outcomes. If the game is postponed but starts within 48 hours of the original time, the markets remain active and resolve based on the official result. If the game does not start within 48 hours of its scheduled time, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of game timing changes.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market is driven by individuals trading based on their own information and beliefs. Often, prediction markets are more accurate than traditional forecasts, especially when considering the incentives for traders to be well-informed. It’s common to see discrepancies, as sportsbooks may incorporate a 'vig' or commission into their odds, whereas this market represents a more direct probability assessment.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their belief about the 2nd quarter spread. The price of a contract indicates the probability of that outcome occurring. For example, a higher price suggests greater confidence in that outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to provide accurate predictions, as they profit if their predictions are correct and lose if they are wrong. This dynamic pricing mechanism aims to reflect the collective intelligence of the market participants regarding the likely outcome of the football game.
This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final 2nd quarter spread of the Texas versus Oklahoma football game will be used to determine whether Texas won the 2nd quarter by more than 2.5 points, or not. The resolution will be based on official game statistics and results, ensuring a transparent and objective determination of the market’s outcome. Traders will then be paid out or have their contracts settled based on the final result.
Several factors could influence the price of this market leading up to the game. News regarding key player injuries for either Texas or Oklahoma would likely have a significant impact, as would any changes in weather forecasts that could affect the game's conditions. Unexpected announcements about coaching strategies or team morale could also shift sentiment. Furthermore, any large volume trades on Kalshi could indicate informed activity and cause price fluctuations. Public opinion and analysis from sports commentators could also play a role, though the market is ultimately driven by trader behavior.