TOTAL VOLUME:
$154.4b
24H VOL:
$230,589,906
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
4,340
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 31, 10:06 PM EST
Kalshi
This set of markets focuses on predicting the point differential in the third quarter of a college football game between Mississippi State and Texas. Each market corresponds to a specific point margin threshold that must be exceeded by either team during that quarter to resolve as a win.
All markets resolve based solely on points scored during the third quarter of play in the Mississippi St. vs Texas college football game scheduled for Oct 31, 2026. A market resolves to 'Yes' if the specified team wins the third quarter by more than the stated point margin. If the game is postponed but commences within 48 hours of its original scheduled start time, all markets remain open and resolve according to the official third-quarter result. Should the game fail to start within this 48-hour window, all markets will resolve to a fair price, reflecting the uncertainty and preventing unresolved outcomes.
Prediction market odds often reflect the wisdom of the crowd, and can differ from traditional sportsbook odds. Sportsbooks set their lines based on their own models and to balance action, while this market is driven by individuals trading on their own information and beliefs. It's common to see discrepancies, especially before significant events or breaking news. Analyzing these differences can be valuable, as prediction markets have sometimes demonstrated greater accuracy in forecasting outcomes than traditional methods. Keep in mind that this market represents the collective forecast of Kalshi traders.
This market resolves around Nov 1, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread for the third quarter of the Mississippi State vs Texas game will be used to determine which contracts pay out. Traders who correctly predicted the spread will receive a payout based on the contract's price at resolution. The resolution will be based on the official game statistics as reported by a trusted sports data source.
Several factors could influence the price of this market. Any news regarding injuries to key players on either the Mississippi State or Texas teams would likely cause significant movement. Changes in weather conditions, particularly if they are expected to impact the game's style, could also shift the market. Additionally, late-breaking news about team strategies or coaching decisions could affect trader sentiment. Finally, large volume trades on Kalshi itself can create price fluctuations as traders react to new information or attempt to capitalize on perceived opportunities.