TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 04d:19h:04m
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This group covers markets related to the college football game between Alabama A&M and Prairie View A&M, scheduled for November 7th. Markets include predicting the winner, point spreads, and the total combined score of the game.
In the upcoming college football game between Alabama A&M and Prairie View A&M, scheduled for November 7 at 3:00PM ET: This market will resolve to "Alabama A&M" if Alabama A&M win the game. This market will resolve to "Prairie View A&M" if Prairie View A&M 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 based on the winner of the Alabama A&M vs Prairie View A&M college football game scheduled for November 7, 2026. Should the game be postponed but commence within 48 hours of its originally scheduled start time, the market will remain active and resolve according to the official final result. If the game is cancelled or fails to start within 48 hours of the scheduled time, the market will resolve to a fair price. The determination of the market outcome is solely dependent on which team achieves victory in the match.
In the upcoming college football game between Alabama A&M and Prairie View A&M, scheduled for November 7 at 3:00PM ET: This market will resolve to "Alabama A&M" if Alabama A&M win the game. This market will resolve to "Prairie View A&M" if Prairie View A&M 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 on Polymarket and Kalshi, often differ from traditional sportsbook odds due to the nature of how they are determined. Sportsbooks set lines to balance action and incorporate a profit margin, while prediction markets are driven by supply and demand – traders buying and selling contracts based on their beliefs. This can lead to prediction markets being more accurate reflections of true probabilities, especially as more information becomes available. However, sportsbooks often have lower fees and wider accessibility than these markets.
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. Differences in pricing between Polymarket and Kalshi can arise from several factors. Each platform has a different user base with varying levels of expertise and information, leading to differing interpretations of the same data. Trading volume also plays a role; a market with higher volume on one platform may be more efficiently priced. Furthermore, the specific market structures and fee schedules on each platform can influence trading behavior and, consequently, the observed prices. These factors contribute to the dynamic pricing observed across these venues.
This market resolves around Nov 7, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Alabama A&M vs. Prairie View A&M game will determine the outcome, and the platform will verify this information against established sources. Traders will then be settled based on whether their chosen outcome aligned with the verified result. The volume of $3,709 suggests significant interest in this event.
Several signals could shift the probabilities in this market before Nov 7, 2026. Any significant news regarding player injuries, coaching changes, or team performance could influence trader sentiment. Unexpected announcements about game conditions, such as weather forecasts, might also play a role. Furthermore, large trading volume on either Polymarket or Kalshi could indicate new information or a shift in collective belief, causing the odds to adjust rapidly. Monitoring these factors will be key to understanding market movements.