TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 05d:02h:36m
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This prediction group centers around the college football game between Wyoming and UNLV, scheduled for November 7th. Markets cover the winner of the game, point spreads, over/under totals for points scored, and various team/player statistics. A wide array of markets are available, offering opportunities to predict different aspects of the game's outcome.
In the upcoming college football game between Wyoming and UNLV, scheduled for November 7 at 10:30PM ET: This market will resolve to "Wyoming" if Wyoming win the game. This market will resolve to "UNLV" if UNLV 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 winner of the Wyoming vs UNLV college football game scheduled for November 7, 2026. If the game is postponed but commences within 48 hours of the original start time, the market remains open and resolves according to the final result. If the game is cancelled or does not start within the 48-hour window, the market resolves to a fair price. The markets for both teams are separate, each resolving to Yes if their respective team wins, with identical secondary rules applying to both.
In the upcoming college football game between Wyoming and UNLV, scheduled for November 7 at 10:30PM ET: This market will resolve to "Wyoming" if Wyoming win the game. This market will resolve to "UNLV" if UNLV 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, like those found on Polymarket and Kalshi, often differ from traditional sportsbook odds due to the underlying mechanisms. Sportsbooks set lines to balance action and incorporate a profit margin, while prediction markets are driven by the collective wisdom of traders who are incentivized to accurately forecast the outcome. This can lead to prediction markets being more efficient at reflecting true probabilities, especially as more information becomes available. However, sportsbooks may offer different types of wagers and may react more quickly to breaking news, creating temporary discrepancies with 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 can diverge for several reasons. Each platform has its own user base, trading rules, and liquidity, which can influence price discovery. For example, Polymarket currently favors Wyoming vs. UNLV: O/U 37.5 at 75.5%, while Kalshi leans toward UNLV wins at 69.0%. Differences in trading fees, margin requirements, and the types of orders allowed can also contribute to price discrepancies. Furthermore, differing interpretations of available information and varying risk appetites among traders on each platform can lead to divergent price movements for the Wyoming vs. UNLV game.
This market resolves around Nov 8, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result of the Wyoming vs. UNLV game, as reported by official sources, will determine the outcome of this market. The final score and official game results will be used to verify the winning outcome. Traders should monitor official sources for the final results to understand how this market will settle.
Several signals could significantly impact this market before it resolves around Nov 8, 2026. Key injuries to star players on either the Wyoming or UNLV teams would likely cause substantial shifts in probabilities. Unexpected coaching changes, significant weather forecasts impacting game conditions, or even major news regarding team morale could also influence trading activity. Publicly released statistics about team performance, updated betting lines from sportsbooks, and any controversies surrounding the teams are further catalysts to watch. Any of these events could lead to a reassessment of the likely outcome and move the market accordingly.