TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 9:25 PM EST
Kalshi
This set of markets focuses on predicting the margin of victory for either Ohio State or Texas specifically within the second quarter of their scheduled 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 between Ohio State and Texas exclusively during the second quarter of their college football game scheduled for September 12, 2026. Each market has a specific threshold that the winning team 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 open and resolve based on the official result. If the game does not start within 48 hours, all markets resolve to a fair price. Kalshi explicitly states it is not affiliated with the NCAA, and all trademarks remain property of their respective owners.
Typically, prediction market odds reflect the wisdom of the crowd and can sometimes differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and risk management, while this market aggregates the beliefs of many individual traders. Often, prediction markets are considered more accurate forecasters of event outcomes than traditional odds, as they benefit from a broader range of information and perspectives. However, sportsbook odds are readily available and widely publicized, serving as a common benchmark for comparison.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads. The price of a contract indicates the probability of that spread occurring. As more traders buy contracts for a particular spread, the price increases, reflecting growing confidence in that outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth shows the available contracts at various price points, giving traders insight into the level of demand and supply. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust probabilities.
This market resolves around Sep 13, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the final point spread difference between Ohio St. and Texas at the end of the second quarter will be used to determine which contracts payout. The market will settle based on the official game statistics, ensuring a transparent and verifiable result. Traders will be able to see the final outcome and any resulting payouts on Kalshi following the game’s conclusion.
Several factors could influence the Ohio St vs Texas spread between now and the end of the second quarter. News regarding key player injuries for either team would likely have a significant impact, as would any changes in coaching strategies or weather forecasts. Unexpected performance in the first quarter, or even pre-game warmups, could also shift trader sentiment. Public perception and analysis from sports commentators can also play a role, influencing the flow of trading activity in this market.