TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 5, 3:24 PM EST
Kalshi
This set of markets focuses on predicting the point differential specifically within the third quarter of an upcoming college football game. Each market corresponds to a different threshold of points by which one team might lead over the other during that quarter.
All markets resolve based solely on points scored during the third quarter of play in the Kent St. vs South Carolina college football game scheduled for Sep 5, 2026. A 'Yes' outcome occurs if the specified team's third-quarter point differential exceeds the stated threshold. If the game is postponed but commences within 48 hours of its original start time, markets remain open and resolve according to the official result. Should the game fail 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 thresholds defined in individual markets.
On Kalshi, this market is priced through a continuous auction mechanism, where traders buy and sell contracts representing different outcomes for the Kent State vs. South Carolina third quarter spread. The price of each contract reflects the market’s probability of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information becomes available, the prices adjust dynamically, providing a real-time assessment of expectations. The current price indicates what traders are collectively willing to pay for a contract that pays out if the spread falls within a particular range.
This market resolves around Sep 5, 2026, with the outcome confirmed once the final third quarter spread of the Kent State vs. South Carolina game is verifiable from credible public reporting. The resolution will be based on the official result reported by sports data providers. The contracts will then pay out based on whether the actual spread falls within the range represented by the purchased contracts. The platform will verify the result against official sources to ensure an accurate and transparent resolution process.
Several factors could significantly impact this market. Any news regarding injuries to key players on either the Kent State or South Carolina teams would likely cause movement. Changes in weather forecasts, particularly if they suggest conditions favoring one team's playing style, could also influence trading activity. Unexpected announcements about coaching strategies or team lineups could also shift the probabilities. Finally, significant betting activity in traditional sportsbooks might indirectly affect this market as information flows between different venues.