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:00h:39m
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This event group concerns the outcome of a women's college basketball game between Alabama A&M and Alabama, originally scheduled for November 5, 2026. The markets ask who will win the game. Resolution depends on the official result of the game.
In the upcoming CWBB game between Alabama A&M Bulldogs and Alabama Crimson Tide, 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 to Yes for the respective team if they win the women's college basketball game originally scheduled for Nov 5, 2026. If the game is postponed but begins within 48 hours of its 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 informed traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines to balance action and ensure profit, while this market allows participants to directly express their beliefs about the outcome. As a result, prediction market prices can sometimes be more accurate, especially when significant information isn’t yet widely available. However, sportsbooks typically offer higher liquidity and a wider range of betting options, while this market focuses specifically on the outcome of the Alabama football game.
Prices on Polymarket and Kalshi can diverge due to several factors. 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 rules, and fee structure, influencing supply and demand. For example, Polymarket currently favors Alabama A&M Bulldogs vs. Alabama Crimson Tide (W) at 50.0%, while Kalshi leans toward Alabama wins at 95.0%. Differences in liquidity and the types of traders participating on each platform also contribute to price discrepancies. Furthermore, differing interpretations of available information or varying risk appetites among traders can lead to distinct pricing signals.
This market resolves around Nov 6, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will reflect the final result of the Alabama football game, as officially reported by sources considered authoritative for college football results. The outcome will be determined by the winning team in the game, and the market will settle based on that verified result. Traders should monitor official sources for confirmation of the final score and the winning team to understand the resolution of this market.
Several factors could influence the price of this market before Nov 6, 2026. Any significant news regarding player injuries, coaching changes, or team performance could shift expectations and impact trading activity. Unexpected weather forecasts or changes in game location might also play a role. Public sentiment, as reflected in media coverage and social media discussions, can also influence market prices, particularly if it deviates significantly from initial expectations. Monitoring these signals will be key to understanding potential shifts in this market.