TOTAL VOLUME:
$154.2b
24H VOL:
$192,072,993
24H TRANSACTIONS:
2,983,476,643
OPEN INTEREST:
$1,842,388,377
408,027
Markets across
40,419
events
MATCHED EVENTS:
4,369
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 03d:10h:06m
$
This event group concerns the outcome of a women's college basketball game between Central Arkansas and Baylor, originally scheduled for November 5, 2026. The markets ask who will win the game, with provisions for cancellation or abandonment.
In the upcoming CWBB game between Central Arkansas Bears and Baylor Bears, originally scheduled for Thursday, November 5, 2026 at 8:00 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 the official winner of the Central Arkansas vs Baylor women's college basketball game scheduled for November 5, 2026. If the game is postponed but commences within 48 hours of its original scheduled start time, the market remains open and resolves according to the final official result. Should the game be canceled or fail to start within the 48-hour window, both markets will resolve to a fair price. Kalshi clarifies that it is not affiliated with the NCAA, and all trademarks remain property of their respective owners.
Prediction market odds, like those found in this market, often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, incorporating a profit margin. This market, however, is driven by individuals trading based on their own information and beliefs. Discrepancies can arise due to differing information access, biases, or simply the dynamic nature of a decentralized market. It is common to see prediction markets move more quickly to incorporate new information than sportsbooks, especially in response to breaking news or late-developing trends.
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. Price discrepancies between Polymarket and Kalshi are common due to several factors. Each platform has a different user base, trading volume, and fee structure, all of which can influence price discovery. Furthermore, the liquidity available on each platform can vary, leading to price slippage and temporary imbalances. Different market makers and arbitrageurs may also be active on each platform, contributing to price divergence. Currently, Polymarket currently favors Central Arkansas Bears vs. Baylor Bears (W) at 50%, while Kalshi leans toward Baylor wins, highlighting these differing market perceptions.
This market resolves around Nov 6, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result of the Baylor vs. Central Arkansas game will be used to determine the winning outcome in this market. The outcome will be based on the official result as reported by a recognized sports authority, ensuring a transparent and verifiable resolution process. Traders should monitor official sources for updates as the event approaches.
Several signals could significantly impact this market before it resolves around Nov 6, 2026. Any news regarding injuries to key players on either team would likely cause a shift in probabilities. Unexpected changes in weather conditions, particularly if they favor one team’s playing style, could also move the market. Significant betting activity or large trades on either Polymarket or Kalshi could also indicate new information or a change in sentiment. Finally, any pre-game analysis or expert opinions that strongly favor one team over the other could influence trading behavior and, consequently, the market’s price.