TOTAL VOLUME:
$154.4b
24H VOL:
$230,589,906
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
4,340
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Coastal Carolina
- Kalshi
Coastal Carolina - Kalshi
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 2, 2026
Time left: 03h:26m:25s
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This event group concerns the outcome of a college basketball game between Eastern Michigan Eagles and Coastal Carolina Chanticleers scheduled for November 2nd. Markets resolve based on which team wins the game, with provisions for postponed or canceled games.
This event is for the CBB game between Eastern Michigan Eagles and Coastal Carolina Chanticleers on November 2 at 7:00PM 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.
The event determines the winner of the men’s college basketball game between Eastern Michigan and Coastal Carolina, scheduled for November 2, 2026. If Coastal Carolina wins the game as originally scheduled, its corresponding market resolves to Yes. Conversely, if Eastern Michigan wins the game as originally scheduled, its corresponding market resolves to Yes. Should the game be postponed but commence within 48 hours of its original start time, both markets remain open and resolve based on the final official result. If the game is cancelled or fails to start within 48 hours of the scheduled time, both markets resolve to a fair price. Kalshi clarifies that it holds no official affiliation with the NCAA, and all trademarks referenced belong to their respective owners.
This event is for the CBB game between Eastern Michigan Eagles and Coastal Carolina Chanticleers on November 2 at 7:00PM 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 Kalshi, often reflect a different kind of wisdom than traditional sportsbooks. Sportsbooks set lines to balance action and incorporate a profit margin, while prediction markets are driven by individuals wagering their own capital. This can lead to differing probabilities, especially as new information emerges. While sportsbooks may initially set odds based on team statistics and expert opinions, this market incorporates a broader range of perspectives and can react more quickly to unexpected developments, such as injuries or coaching changes.
Prices on Polymarket and Kalshi can diverge for several reasons. 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. Each platform has its own user base, trading dynamics, and fee structures, which can influence price discovery. Furthermore, the volume traded on each platform differs – currently Polymarket has a volume of $1,179 while Kalshi shows $1,108 in 24-hour volume. Differences in liquidity and market participants can lead to discrepancies in the perceived probabilities of the outcome for the college football matchup. These variations are a natural part of a decentralized prediction market ecosystem.
This market resolves around Nov 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result of the Eastern Michigan Eagles versus Coastal Carolina Chanticleers game will be used to determine the winning outcome. The outcome will be determined by the official result reported by the governing body of college football, ensuring a transparent and verifiable resolution process. Traders should monitor official sources for the final game results to understand how this market will settle.
Several signals could significantly impact this market before Nov 3, 2026. Key player injuries on either team would likely shift probabilities, as would any major coaching staff changes. Unexpected news regarding team morale or internal conflicts could also influence trading activity. Furthermore, significant shifts in public perception, driven by media coverage or expert analysis, could lead to changes in the odds. Any late-breaking news related to the game itself, such as weather forecasts or stadium conditions, could also move this market as traders adjust their predictions.