TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
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2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
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This market tracks which team will lead at the end of the first half in an upcoming college football game between Texas A&M and South Carolina. It focuses solely on the scoring during the first half, ignoring the final game result. The outcome depends on whether Texas A&M, South Carolina, or neither team (in case of a tie) holds the lead when the first half concludes.
The market resolves based on which team is leading at the end of the first half of the Texas A&M vs South Carolina college football game scheduled for November 7, 2026. If South Carolina holds the lead after the first half, the market resolves to Yes for the South Carolina outcome. If Texas A&M holds the lead after the first half, the market resolves to Yes for the Texas A&M outcome. If the teams are tied at the end of the first half, the market resolves to Yes for the Tie outcome. Only points scored during the first half count toward determining the result. If the game is postponed but commences within 48 hours of the original scheduled start time, the market remains open and resolves based on the official result of the first half at that time. If the game does not start within 48 hours of its original scheduled time, the market resolves to a fair price. Kalshi is not affiliated with the governing league, and all trademarks belong to their respective owners.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from those set by sportsbooks. Sportsbooks establish initial lines to balance betting action, while this market allows individuals to trade based on their own analysis. If a significant number of traders believe a sportsbook’s odds are inaccurate, they can take a position in this market, driving the price to reflect their collective insight. Comparing the implied probabilities can reveal where the market diverges from conventional wisdom regarding the Texas A&M vs South Carolina game.
On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing the probability of South Carolina winning the first half, and the price fluctuates based on supply and demand. As more people buy contracts, the price increases, indicating a higher perceived probability. Conversely, increased selling pressure lowers the price. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust expectations as the game approaches. The current price reflects the collective assessment of all traders participating in this market.
This market resolves around Nov 7, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on which team is leading at the end of the first half of the Texas A&M vs South Carolina game. Official game results will be used to determine the winner, and the market will settle accordingly. Traders holding contracts on the winning side will receive a payout, while those on the losing side will forfeit their investment.
Several factors could influence the price of this market before the game concludes. News regarding key player injuries for either the Texas A&M or South Carolina teams would likely cause significant movement. Changes in weather forecasts, particularly if they favor one team’s playing style, could also impact trading activity. Unexpected announcements about coaching strategies or team morale might also shift expectations. Even significant betting patterns in traditional sportsbooks could influence traders on Kalshi, leading to price adjustments in this market.