TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 26, 8:35 PM EST
Kalshi
This set of markets focuses on predicting the total points scored by both teams during the second quarter of a college football game. Each market has a different threshold for the total points needed to settle the outcome, allowing participants to assess varying levels of scoring intensity in that specific quarter.
All markets resolve based on the total points scored by both teams specifically during the second quarter of the Oklahoma St. vs West Virginia college football game scheduled for September 26, 2026. For each market, if the combined second-quarter points exceed the specified threshold (e.g., 2.5, 5.5, up to 27.5 points), the market resolves to 'Yes'; otherwise, it resolves to 'No'. If the game is postponed but starts within 48 hours of the original time, the markets remain open and resolve based on the final result. If the game does not start within 48 hours, all markets resolve to a fair price. Only points scored in the second quarter count, and Kalshi explicitly states it is not affiliated with the NCAA.
Generally, prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbook odds. Sportsbooks set lines based on their own models and risk management, while this market aggregates the views of many individual traders. It’s common to see discrepancies between the two, especially before significant events or breaking news. Comparing the implied probability from Kalshi to sportsbook lines can reveal where the public differs from professional oddsmakers in their expectations for the Oklahoma St. vs West Virginia game.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their beliefs about the 2nd quarter total. The price of a contract reflects the probability of that outcome occurring. As more traders buy contracts predicting a certain 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 game approaches, providing a real-time assessment of potential scoring scenarios.
This market resolves around Sep 27, 2026, with the outcome confirmed once the final score of the second quarter of the Oklahoma St. vs West Virginia game is verifiable from credible public reporting. The total points scored in that quarter will be used to determine whether the ‘Over’ or ‘Under’ contracts will pay out. The resolution will be based on official game statistics, ensuring a transparent and objective determination of the result. Traders will then receive payouts based on the final outcome.
Several factors could influence this market before the game concludes. Any news regarding key player injuries for either Oklahoma St. or West Virginia would likely have a significant impact. Changes in weather conditions, particularly if they are expected to affect scoring, could also move the market. Additionally, in-game events during the first quarter, such as a dominant offensive performance by one team, could shift expectations and alter the price of contracts in this market. Public betting patterns and expert analysis can also contribute to price fluctuations.