TOTAL VOLUME:
$154.3b
24H VOL:
$228,458,490
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,879,276,037
410,833
Markets across
40,345
events
MATCHED EVENTS:
4,363
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 05d:05h:53m
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This event group concerns the college football game between Utah Tech and UC Davis scheduled for November 7, 2026. Markets exist on both which team will win, and the point spread for the game. Over/Under markets on the total points scored are also available.
In the upcoming college football game between Utah Tech and UC Davis, scheduled for November 7 at 7:00PM ET: This market will resolve to "Utah Tech" if Utah Tech win the game. This market will resolve to "UC Davis" if UC Davis 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 to Yes if the named team wins the specified college football game scheduled for Nov 7, 2026. If the game is postponed but begins within 48 hours of the original time, the market remains open and resolves based on the official result. If the game is cancelled or does not start within 48 hours, the market resolves to a fair price. Kalshi emphasizes no official connection with the NCAA, and all trademarks belong to their respective owners.
In the upcoming college football game between Utah Tech and UC Davis, scheduled for November 7 at 7:00PM ET: This market will resolve to "Utah Tech" if Utah Tech win the game. This market will resolve to "UC Davis" if UC Davis 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 reflect a more accurate forecast than traditional sportsbooks. This is because prediction markets incentivize participants to reveal their true beliefs, while sportsbooks may factor in profit margins or biases. While sportsbooks set odds based on statistical models and expert analysis, this market harnesses the wisdom of the crowd. Discrepancies can arise due to differing information access and the incentive structures of each system. However, both offer insights into the perceived probability of various game outcomes.
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. Each platform attracts a different user base with varying levels of expertise and access to information. Trading fees and platform-specific rules can also influence pricing. Furthermore, the liquidity and volume on each platform play a role; higher volume generally leads to tighter spreads. Currently, Polymarket currently favors Spread: Utah Tech (-14.5) at 50.0%, while Kalshi leans toward UC Davis wins at 86.0%, demonstrating these differing viewpoints.
This market resolves around Nov 8, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Utah Tech vs. UC Davis game will be used to determine the winning outcome. Traders will be able to claim their winnings based on their predictions relative to the actual game result. It's important to monitor the event closely as it approaches the resolution date to stay informed of any potential factors that could influence the final outcome of this market.
Several signals could significantly move this market before Nov 8, 2026. Key player injuries on either the Utah Tech or UC Davis teams would likely cause shifts in the odds. Unexpected news regarding team strategies or coaching changes could also impact trader sentiment. Major upsets in other games involving these teams might influence perceptions of their relative strength. Finally, any significant public endorsements or media coverage could sway the market as new information becomes available. Monitoring these factors will be crucial for those looking to capitalize on potential price movements in this market.