TOTAL VOLUME:
$154.4b
24H VOL:
$245,801,863
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,902,097,102
417,059
Markets across
40,178
events
MATCHED EVENTS:
4,415
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 04d:20h:44m
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This group tracks the outcome of the college football game between Richmond and Villanova scheduled for November 7, 2026. Markets exist on who will win the game, as well as point spreads and the total combined score.
In the upcoming college football game between Richmond and Villanova, scheduled for November 7 at 1:00PM ET: This market will resolve to "Richmond" if Richmond win the game. This market will resolve to "Villanova" if Villanova win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. 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 based on the official winner of the Richmond vs. Villanova college football game scheduled for November 7, 2026. If the game is postponed but starts within 48 hours of the original time, the market remains open and resolves according to the final result. If the game is cancelled or does not start within 48 hours of the scheduled time, the market resolves to a fair price. Kalshi is not affiliated with the NCAA, and all trademarks belong to their respective owners.
In the upcoming college football game between Richmond and Villanova, scheduled for November 7 at 1:00PM ET: This market will resolve to "Richmond" if Richmond win the game. This market will resolve to "Villanova" if Villanova win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. 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.
Prediction market odds, such as those found on 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 risk management, while prediction markets aggregate the beliefs of many individual traders. This can lead to differences in probabilities and implied outcomes. Furthermore, prediction markets often have lower transaction costs and may allow for more sophisticated trading strategies than traditional sports betting. Comparing the two can provide a more comprehensive view of potential outcomes for the Richmond vs. Villanova game.
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 can diverge due to several factors, including differing user bases, trading volumes, and market structures. Each platform attracts a unique set of participants with varying levels of expertise and information. Additionally, the specific market design – such as the types of contracts offered and the fees charged – can influence price discovery. For example, one platform might offer a spread market, while the other focuses on a simple win/loss outcome, leading to different valuations of the same event. These differences contribute to the dynamic pricing seen across platforms.
This market resolves around Nov 7, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result of the Richmond vs. Villanova game will be used to determine the winning outcome. The resolution will be based on the official game results as reported by a recognized sports data provider. Traders should monitor official sources for updates as the resolution date approaches, ensuring they understand how the final result will be determined.
Several signals could significantly impact this market. Any news regarding player injuries, changes in coaching strategies, or unexpected team performance in preceding games could shift probabilities. Public sentiment, as reflected in media coverage and social media discussions, can also influence trading activity. Major upsets in other related games or changes to the game’s location or time could also be catalysts. Monitoring these factors will be crucial for understanding potential movements in the market before Nov 7, 2026.