TOTAL VOLUME:
$154.4b
24H VOL:
$235,918,089
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,884,820,873
413,109
Markets across
40,428
events
MATCHED EVENTS:
4,364
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 03d:04h:07m
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This event group concerns the outcome of a women's college basketball game between Central Michigan Chippewas and Ohio State Buckeyes, originally scheduled for November 5, 2026. The markets ask whether either team will win the game.
In the upcoming CWBB game between Central Michigan Chippewas and Ohio State Buckeyes, originally scheduled for Thursday, November 5, 2026 at 6:30 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 event resolves based on the result of the Central Michigan vs Ohio State women's college basketball game scheduled for November 5, 2026. If Ohio State wins, the Ohio State market resolves to Yes, and if Central Michigan wins, the Central Michigan market resolves to Yes. If the game is postponed but starts within 48 hours of the original time, both markets remain open and resolve based on the final official result. If the game is cancelled or does not start within 48 hours of the scheduled time, both markets resolve to a fair price. Kalshi is not affiliated with the NCAA, and all trademarks remain property of their respective owners.
Prediction market odds, as reflected in this market, often differ from traditional sportsbook odds due to the wisdom of the crowd and the incentive structure. Sportsbooks set odds to maximize profit, incorporating a margin, while prediction markets allow participants to directly express their beliefs. This can lead to more accurate probabilities, especially as more information becomes available. However, sportsbook odds can influence trading activity in this market, and arbitrage opportunities may arise if significant discrepancies exist. The current implied probability from this market may offer a different perspective than traditional betting lines.
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 for this market can arise due to several factors. These platforms have different user bases, trading volumes, and liquidity profiles, which can influence price discovery. Additionally, each platform may interpret available information and news regarding the Central Michigan versus Ohio State game differently. Currently, Polymarket favors Central Michigan Chippewas vs. Ohio State Buckeyes (W) at 50.0%, while Kalshi leans toward Ohio St. wins at 97.0%, reflecting these varying perspectives.
This market resolves around Nov 6, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Central Michigan Chippewas versus Ohio State Buckeyes (W) college football game. The winning team, as declared by official sources, will determine the settlement of this market. Traders should monitor official announcements to understand the final outcome and how it impacts their positions.
Several signals could significantly impact this market before Nov 6, 2026. Any news regarding key player injuries, coaching changes, or significant shifts in team performance could influence trading activity. Unexpected weather forecasts for the game location might also move the market, as could major upsets in other college football games that affect team rankings or morale. Public sentiment, as reflected in media coverage and social media, can also play a role, though to a lesser extent. Monitoring these factors will be crucial for understanding potential shifts in the probabilities offered in this market.