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 12, 11:29 PM EST
Kalshi
This market tracks whether Ohio State will win their college football game against Texas by more than 22.5 points. Currently, Kalshi gives a 3.0% probability to Ohio State achieving this margin of victory, while the probability of Texas winning by over 2.5 points stands at 1.0%. Resolution will be determined by the outcome of the Ohio St. vs Texas college football game, as defined by a win margin of more than 16.5 points, with the resolution source being the final game results. Keep an eye on the game itself, scheduled for September 12, 2026, as the outcome will determine whether Ohio State exceeds the required point differential by the resolution date of September 13, 2026.
All markets resolve based on the official point differential from the Ohio State vs Texas college football game scheduled for September 12, 2026. If Texas wins by the exact margin specified in a market's title, that market resolves as 'No.' For markets where Ohio State is the titled winner, the opposite logic applies. Should the game be postponed but commence within 48 hours of its original start time, all markets remain active and resolve according to the final result. If the game fails to start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific point differential thresholds defined in individual markets.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines to balance action, while this market allows traders to freely express their beliefs about the likely outcome. If a significant number of traders believe the sportsbook's line is inaccurate, the price on Kalshi will move accordingly. It’s common to see discrepancies, especially as new information emerges or public sentiment shifts. Comparing the two can offer valuable insights into differing perspectives on the game's potential result.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the Ohio State vs Texas game. The price of each contract reflects the probability that the actual spread will fall within that range. Traders are incentivized to set accurate prices, as they profit from correctly predicting the outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market dynamically adjusts based on supply and demand, meaning the price will change as more traders participate and share their views on the game's likely spread.
This market resolves around Sep 13, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final spread will be determined by the official result of the Ohio State vs Texas football game. The market will settle to 100 if the actual spread falls within the range represented by the purchased contracts, and to 0 otherwise. Traders holding contracts on the winning side will receive a payout, while those on the losing side will forfeit their investment.
Several factors could influence the price of this market before the game takes place. Any significant news regarding injuries to key players on either the Ohio State or Texas teams would likely cause movement. Changes in coaching strategies, weather forecasts, or even public sentiment expressed through polls and media coverage could also impact trading activity. Unexpected announcements about player availability or team dynamics could lead to rapid shifts in the market price as traders adjust their predictions based on the latest information.