TOTAL VOLUME:
$154.8b
24H VOL:
$277,138,640
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,905,404,943
412,077
Markets across
39,838
events
MATCHED EVENTS:
4,526
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 04d:11h:14m
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This prediction group covers the upcoming college football game between BYU and Utah, scheduled for November 7th. Markets exist for the overall game winner, point spreads, over/under totals, and various team/player statistics. The markets are designed to resolve based on the official results of the game.
In the upcoming college football game between BYU and Utah, scheduled for November 7 at 12:00PM ET: This market will resolve to "BYU" if BYU win the game. This market will resolve to "Utah" if Utah 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 BYU vs Utah college football game scheduled for November 7, 2026. If Utah wins, its corresponding market resolves to Yes; if BYU wins, its market resolves to Yes. If the game is postponed but starts within 48 hours of the original time, both markets remain open and resolve according to the final result. If the game is cancelled or fails to start within that 48-hour window, both markets resolve to a fair price, ensuring equitable treatment for all participants regardless of which team’s market they traded. Kalshi explicitly states it is not affiliated with the NCAA, and all trademarks remain property of their respective owners.
In the upcoming college football game between BYU and Utah, scheduled for November 7 at 12:00PM ET: This market will resolve to "BYU" if BYU win the game. This market will resolve to "Utah" if Utah 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 in this market, often reflect a different type of information than traditional sportsbook odds. Sportsbooks set lines to balance action and incorporate a profit margin, while prediction markets are driven by individuals betting their own capital based on their beliefs. This can lead to prediction markets being more accurate, particularly when a large volume of traders participate. However, sportsbook odds are readily available and often serve as a useful benchmark for comparison, especially early in the market’s lifecycle. It’s common to see initial discrepancies that narrow as the event approaches.
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. Differences in pricing between Polymarket and Kalshi can arise due to variations in trader demographics, market design, and liquidity. Each platform attracts a different pool of participants with varying risk appetites and predictive expertise, influencing how they value potential outcomes. Furthermore, the specific market structures on each platform—such as trading fees or contract specifications—can contribute to price discrepancies. The current 24-hour volume is $331,122, and these factors combine to create distinct price discovery processes on each venue, even for the same underlying event.
This market resolves around Nov 7, 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 BYU-Utah football game. The winning team, as determined by the final score, will dictate the outcome of this market. Traders should monitor official sources for the game result to understand how this market will be settled. Any disputes will be resolved based on widely accepted reporting of the game’s final results.
Several factors could significantly impact this market. Injury reports for key players on either BYU or Utah are major catalysts, as are any changes in coaching strategies or team dynamics. Unexpected news regarding player eligibility or disciplinary actions could also shift the probabilities. Public sentiment, reflected in media coverage and social media trends, can influence trading activity. Finally, any significant weather forecasts impacting game conditions could also move this market as traders adjust their expectations based on potential advantages or disadvantages for either team.