TOTAL VOLUME:
$154.3b
24H VOL:
$219,029,434
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,869,293,526
411,051
Markets across
40,408
events
MATCHED EVENTS:
4,377
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 05d:02h:34m
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This group covers the outcome of the Texas A&M vs. South Carolina college football game scheduled for November 7th, as well as numerous related markets on point spreads, over/unders, and team/player statistics. The markets primarily resolve based on the official game results.
In the upcoming college football game between Texas A&M and South Carolina, scheduled for November 7 at 3:00PM ET: This market will resolve to "Texas A&M" if Texas A&M win the game. This market will resolve to "South Carolina" if South Carolina win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
The market resolves to Yes if either Texas A&M or South Carolina wins the college football game originally scheduled for November 7, 2026. Should the game be postponed but commence within 48 hours of its original start time, the market remains active and resolves according to the official final result. If the game is cancelled or does not begin within 48 hours of the scheduled start, the market resolves to a fair price. Kalshi holds no affiliation with the NCAA, and all trademarks belong to their respective owners.
In the upcoming college football game between Texas A&M and South Carolina, scheduled for November 7 at 3:00PM ET: This market will resolve to "Texas A&M" if Texas A&M win the game. This market will resolve to "South Carolina" if South Carolina win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
Prediction market odds, like those found here, often reflect a wisdom-of-the-crowd perspective, potentially differing from traditional sportsbook lines. Sportsbooks set initial odds based on statistical models and expert analysis, while this market allows anyone to trade on their beliefs. This can lead to discrepancies, as prediction markets may incorporate information not immediately reflected in sportsbook odds, such as insider knowledge or subtle shifts in team dynamics. However, both aim to accurately predict the outcome of the Texas A&M vs. South Carolina game, and both can be valuable tools for informed decision-making.
Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Prices on Polymarket and Kalshi may diverge due to differing user bases, trading volumes, and market structures. Polymarket currently favors Texas A&M vs. South Carolina: O/U 37.5 at 82.5%, while Kalshi leans toward South Carolina wins at 73.0%. These differences can also arise from variations in liquidity and the types of traders participating on each platform. Furthermore, each platform has its own fee structure and trading rules, which can influence price discovery. It’s common to see temporary discrepancies before prices converge as information disseminates and arbitrage opportunities are exploited.
This market resolves around Nov 7, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will reflect the final result of the Texas A&M vs. South Carolina game, as officially recorded by governing sports authorities. Traders will be able to see the confirmed outcome on the dashboard, and winning positions will be settled accordingly. The outcome is determined by the official game results and is not dependent on any subjective interpretation or external judgment.
Several signals could influence trading activity in this market. Key events include injury reports for star players on either team, significant changes in weather forecasts for the game location, and any unexpected news regarding team morale or coaching decisions. Public sentiment, as reflected in media coverage and social media discussions, can also play a role. Finally, large trading volume on either Polymarket or Kalshi could indicate informed traders taking positions based on new information, potentially shifting the probabilities associated with the Texas A&M vs. South Carolina game.