TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 03d:02h:27m
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This event group concerns a women's college basketball game between Long Beach State and California. The markets ask who will win the game, originally scheduled for November 5, 2026. Resolution depends on the official outcome of the game, with provisions for cancellation or abandonment.
In the upcoming CWBB game between Long Beach State Beach and California Golden Bears, originally scheduled for Thursday, November 5, 2026 at 9:00 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 result of the Long Beach St. vs California women's college basketball game scheduled for November 5, 2026. If California wins, the California market resolves to Yes; if Long Beach St. wins, the Long Beach St. market resolves to Yes. If the game is postponed but begins within 48 hours of the originally scheduled start time, the market will remain open and resolve based on the official final result. If the game is cancelled or not started within 48 hours of its originally scheduled start, both markets will resolve to a fair price. Kalshi is not affiliated, associated, authorized, endorsed by, or in any way officially connected with the NCAA. All trademarks, logos, and brand names are the property of their respective owners.
Prediction market odds, like those found on Polymarket and Kalshi, often reflect the collective wisdom of a diverse group of bettors, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while prediction markets allow traders to freely express their beliefs. This can lead to discrepancies, especially when public sentiment strongly diverges from the sportsbook's initial assessment. It's important to note that this market’s odds represent probabilities assigned by traders, not fixed payouts like those offered by sportsbooks, and can change rapidly as new information becomes available.
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. Prices on Polymarket and Kalshi may differ due to variations in trader demographics, market design, and available liquidity. Polymarket currently favors Long Beach State Beach vs. California Golden Bears (W) at 50.0%, while Kalshi leans toward California wins at 86.0%. Each platform attracts a different user base with potentially varying levels of expertise and access to information. Furthermore, the specific rules and fee structures of each market can influence trading behavior and price discovery. These factors contribute to the observed differences in probabilities for the Long Beach State vs. California game.
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 Long Beach State vs. California game, as reported by official sources. Traders will be able to see the final outcome reflected in the market’s settlement data once it’s available. This ensures a transparent and verifiable resolution process based on the actual game results.
Several signals could influence this market before Nov 6, 2026. Any news regarding team injuries, changes in player lineups, or unexpected coaching decisions could significantly shift trader sentiment. Weather conditions on game day, particularly if they are expected to be adverse, could also impact the perceived probabilities. Furthermore, major upsets in other games involving these teams or their conference could influence how traders assess their relative strengths. Public perception and media coverage leading up to the game could also contribute to market movements, as traders react to new information and analysis.