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:17h:14m
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This event group concerns a women's college basketball game between Northwestern State Demons and Arkansas Razorbacks, originally scheduled for November 6, 2026. The markets ask who will win the game, but have slightly different resolution criteria.
In the upcoming CWBB game between Northwestern State Demons and Arkansas Razorbacks, originally scheduled for Friday, November 6, 2026 at 11:30 AM 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 Sunday, November 8, 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 winner of the women’s college basketball game between Northwestern State and Arkansas scheduled for November 6, 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 cancelled or fail to start within this 48-hour window, both markets resolve to a fair price. Kalshi clarifies that it holds no official affiliation with the NCAA, and all related trademarks remain property of their respective owners.
Prediction market odds, like those found on Polymarket and Kalshi, often differ from traditional sportsbook odds due to the underlying mechanisms. Sportsbooks set odds to ensure profit, factoring in a 'vig' or commission. Prediction markets, however, are driven by the collective wisdom of traders who are incentivized to accurately forecast the outcome. This can lead to more efficient price discovery, as the market reflects a broader range of information and perspectives. While both aim to predict the same event, the dynamics and motivations of participants create distinctions in the odds presented for this market.
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 diverge due to several factors. Each platform has its own user base, trading rules, and liquidity levels, which can influence price formation. Additionally, the specific types of traders active on each platform – for example, more sophisticated or casual bettors – can lead to differing valuations. Currently, Polymarket currently favors Northwestern State Demons vs. Arkansas Razorbacks (W) at 50.0%, while Kalshi leans toward Arkansas wins at 31.0%, illustrating this potential for price discrepancies. These differences are a natural consequence of decentralized markets.
This market resolves around Nov 6, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Arkansas-Northwestern State football game will determine the winner, and the platform will verify the outcome against official sources. Traders who correctly predicted the result will receive payouts based on the odds at the time of their trade. This market provides a way to speculate on the game’s result and potentially profit from accurate predictions.
Several signals could significantly impact this market before it resolves around Nov 6, 2026. Key player injuries, changes in coaching strategy, or unexpected weather conditions could all shift expectations. News regarding team morale, practice performance, or even public sentiment could also influence trading activity. Major upsets in other games involving these teams' conferences might also lead to reassessments of their relative strengths. Any information that alters the perceived probability of either team winning is likely to cause movement in the market, reflecting the collective response of traders.