TOTAL VOLUME:
$154.6b
24H VOL:
$323,326,361
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,969,435,260
419,363
Markets across
40,411
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 02d:23h:40m
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This group resolves to the winner of the college basketball game between the Green Bay Phoenix and the Cincinnati Bearcats, originally scheduled for November 5, 2026. Markets will determine a winner based on the final score, including overtime. A cancellation or abandonment of the game by a specific deadline results in a 50-50 split.
In the upcoming CBB game between Green Bay Phoenix and Cincinnati Bearcats, originally scheduled for Thursday, November 5, 2026 at 7:00 PM ET (as of creation of the first market related to the event): If this market's outcome was definitively determined under its rules by the listed resolution sources before abandonment, that outcome will stand. Otherwise, the following no-result provisions apply. If the game is canceled, does not start by Saturday, November 7, 2026, 11:59 PM ET, or is abandoned with no official result by that time, this market will resolve 50-50.
The market resolves based on which team wins the men’s college basketball game originally scheduled for November 5, 2026. If the game is postponed but starts within 48 hours of the original time, the market stays open and resolves according to the final official result. If the game is cancelled or fails to start within that 48-hour window, both markets resolve to a fair price reflecting the uncertainty. Kalshi clarifies it has no official connection with the NCAA, and all related trademarks belong to their respective owners.
In the upcoming CBB game between Green Bay Phoenix and Cincinnati Bearcats, originally scheduled for Thursday, November 5, 2026 at 7:00 PM ET (as of creation of the first market related to the event): If this market's outcome was definitively determined under its rules by the listed resolution sources before abandonment, that outcome will stand. Otherwise, the following no-result provisions apply. If the game is canceled, does not start by Saturday, November 7, 2026, 11:59 PM ET, or is abandoned with no official result by that time, this market will resolve 50-50.
Prediction market odds, like those found for this market, often reflect a different kind of information than traditional sportsbook odds. Sportsbooks typically set lines based on statistical models and expert analysis, while prediction markets aggregate the opinions of many individual traders. This can lead to discrepancies, as prediction markets may be more sensitive to news and sentiment. Sometimes, prediction markets are more accurate than sportsbooks, especially when there's a lot of uncertainty surrounding an event. The volume on this market is currently $503, and the 24-hour volume is $503.
Polymarket and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Prices for this market may vary between Polymarket and Predict due to differences in user base, trading activity, and market design. Polymarket might attract a different type of trader than Predict, leading to varying opinions and price discovery. Additionally, the liquidity and volume on each platform can influence prices; a larger volume on one platform can lead to more stable and accurate odds. The different fee structures and trading interfaces on Polymarket and Predict could also contribute to these price discrepancies. This market will resolve around Nov 6, 2026.
This market resolves around Nov 6, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result will be determined by the official result of the Green Bay vs. Cincinnati game, as reported by official sources. Traders will have until that time to adjust their positions based on any new information that emerges. The final price will reflect the collective prediction of the market participants leading up to the event’s conclusion.
Several signals could significantly impact this market. Any news regarding player injuries, changes in coaching strategies, or unexpected team performance in preceding games could shift expectations. Public sentiment, as reflected in media coverage and social media discussions, can also influence trading activity. Major upsets in related games or broader conference standings could also introduce new information. Essentially, any event that alters the perceived probability of either team winning the Green Bay vs. Cincinnati game has the potential to move this market.