TOTAL VOLUME:
$154.4b
24H VOL:
$245,801,863
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,902,097,102
417,059
Markets across
40,178
events
MATCHED EVENTS:
4,415
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Nov 2, 3:53 PM EST
Polymarket
This prediction market centers around the outcome of a college basketball game between the North American Stallions and the Nicholls Colonels on November 2nd. Users are betting on which team will win the game, with a 50-50 split resolution if the game is canceled without a reschedule.
This event is for the CBB game between North American Stallions and Nicholls Colonels on November 2 at 12:00PM ET. 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.
This event is for the CBB game between North American Stallions and Nicholls Colonels on November 2 at 12:00PM ET. 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 Predict, often differ from traditional sportsbook odds due to the differing incentives of participants. Sportsbooks aim to profit by setting lines that attract balanced betting, while prediction market participants are incentivized to accurately forecast the outcome. This can lead to prediction markets reflecting a more accurate probability assessment, especially as the event approaches and more information is incorporated. However, sportsbook odds are readily accessible and can influence initial pricing in prediction markets. This market provides an alternative view, driven by individual forecasts rather than professional oddsmakers.
Several factors could influence trading activity and shift the probabilities in this market. Key events include any significant news regarding player injuries, coaching changes, or team performance leading up to the game. Unexpected weather forecasts could also play a role, as could major shifts in public sentiment or expert predictions. Any information that alters the perceived likelihood of either team winning could lead to substantial movement in the market, impacting the price of the college football game outcome.