TOTAL VOLUME:
$154.4b
24H VOL:
$235,918,089
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,884,820,873
413,109
Markets across
40,428
events
MATCHED EVENTS:
4,364
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 31, 8:16 PM EST
Kalshi
This market focuses on predicting the outcome of the first quarter in an upcoming college football game, specifically analyzing the point differential between the two teams within that initial segment of play.
The markets resolve based on the point differential in the first quarter of the Ohio St. vs USC college football game scheduled for Oct 31, 2026. Each market corresponds to a specific point threshold, with outcomes determined by whether Ohio St. or USC achieves a win by exceeding the designated margin. Only points scored during the first quarter count toward resolution. 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. Should the game fail to start within the 48-hour window, all markets resolve to a fair price. Kalshi explicitly disclaims any affiliation with the NCAA, and all trademarks remain the property of their respective owners.
Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines due to the influence of public opinion and specialized information. Sportsbooks set their lines based on statistical models and expert analysis, while this market allows anyone to trade on their beliefs about the game’s outcome. As more information becomes available – such as injury reports or weather forecasts – the prediction market may adjust more rapidly than traditional sportsbooks, potentially offering a more up-to-date assessment of the likely result. It’s common to see discrepancies, especially before significant events.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads for the first quarter. The price of each contract reflects the market’s collective assessment of the probability of that spread occurring. Buyers are expressing a belief that the spread will be correct, while sellers believe it won’t. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price movement is driven by supply and demand; if more people buy contracts for a particular spread, the price will increase, and vice versa. This dynamic pricing mechanism aims to create a real-time probability estimate.
This market resolves around Nov 1, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the resolution will be based on the actual point spread achieved in the first quarter of the Ohio State versus USC football game. The official result, as reported by a trusted sports data source, will determine which contracts pay out and which expire worthless. Traders will be able to view the final result and settlement details on Kalshi following the game’s conclusion.
Several factors could significantly influence this market. Any news regarding key player injuries for either Ohio State or USC would likely cause a shift in the spread. Unexpected changes in weather conditions, such as heavy rain or strong winds, could also impact the game and, therefore, the market. Major announcements about coaching strategies or team morale might also play a role. Furthermore, large trading volume on Kalshi itself – driven by informed traders or significant news events – could create momentum and move the market in a particular direction.