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%
West Virginia
- Kalshi
West Virginia - Kalshi
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 3, 2026
Time left: 01d:00h:24m
$
This event group concerns the outcome of a women's college basketball game between the Rhode Island Rams and the West Virginia Mountaineers, scheduled for November 3, 2026. The markets resolve to 'Yes' if either team wins the game.
This event is for the WBB game between Rhode Island Rams and West Virginia Mountaineers on November 3 at 7:00PM ET. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
The market resolves to Yes for the respective team if they win the women's college basketball game between Rhode Island and West Virginia originally scheduled for November 3, 2026. 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 with the NCAA, and all trademarks, logos, and brand names are property of their respective owners.
Prediction market odds, like those found on Polymarket and Kalshi, 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, while prediction markets allow anyone to express their belief about the outcome. This can lead to discrepancies, especially when public opinion diverges from expert analysis. While sportsbooks may incorporate factors like team news and injuries, prediction markets can quickly adjust to new information as it becomes available, potentially providing more real-time insights into the likely result of this market.
Prices for the Rhode Island vs. West Virginia game may differ between Polymarket and Kalshi due to a variety of 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 attracts a different user base with varying levels of expertise and information, leading to differing opinions. Trading volume also plays a role; lower volume on one platform can result in greater price volatility. Furthermore, the specific rules and fee structures of each platform can influence trading behavior and, consequently, the prices observed. Currently, Polymarket currently favors Rhode Island Rams vs. West Virginia Mountaineers (W) at 50.0%, while Kalshi leans toward West Virginia wins at 90.0%.
This market resolves around Nov 4, 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 Rhode Island vs. West Virginia game, as reported by a recognized sports data provider. Traders will be able to see the final outcome and how it aligns with their predictions once the event concludes and the results are verified. This ensures a transparent and objective determination of the market’s outcome, based on publicly available information.
Several signals or events could significantly impact this market before it resolves. Any news regarding key player injuries, changes in coaching strategies, or unexpected team performance could shift the probabilities. Major upsets in other games that affect team morale or playoff positioning might also influence trading activity. Furthermore, significant betting volume on either Polymarket or Kalshi could drive price movements, as traders react to new information or attempt to capitalize on perceived mispricings. Public sentiment, as reflected in social media and news coverage, can also play a role in shaping market expectations.