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: 11d:22h:44m
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In the upcoming college football game between Utah and Arizona, originally scheduled for Saturday, November 14, 2026 at 1:00 PM ET (as of creation of the first market related to the event): This market will resolve to "Utah" if Utah win the game. This market will resolve to "Arizona" if Arizona win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If this market's outcome was definitively determined under its rules by the listed resolution sources before abandonment, that outcome will stand. Otherwise, the following no-result provisions apply. If the game is canceled, does not start by Monday, November 16, 2026, 11:59 PM ET, or is abandoned with no official result by that time, this market will resolve 50-50.
In the upcoming college football game between Utah and Arizona, originally scheduled for Saturday, November 14, 2026 at 1:00 PM ET (as of creation of the first market related to the event): This market will resolve to "Utah" if Utah win the game. This market will resolve to "Arizona" if Arizona win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If this market's outcome was definitively determined under its rules by the listed resolution sources before abandonment, that outcome will stand. Otherwise, the following no-result provisions apply. If the game is canceled, does not start by Monday, November 16, 2026, 11:59 PM ET, or is abandoned with no official result by that time, this market will resolve 50-50.
If Arizona wins the Utah vs Arizona college football game originally scheduled for Nov 14, 2026, then the market resolves to Yes. If Utah wins the Utah vs Arizona college football game originally scheduled for Nov 14, 2026, then the market resolves to Yes.
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 risk management, while this market aggregates the beliefs of many individual traders. This can lead to discrepancies, especially when public sentiment strongly diverges from the sportsbook's initial assessment. Both can be valuable tools for informed decision-making, but understanding their different methodologies is key.
Prices on Polymarket and Kalshi can differ due to several factors. Each platform has its own user base, trading rules, and liquidity, all of which influence price discovery. 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. Furthermore, the specific markets offered on each platform may not be identical, leading to different levels of granularity in the predictions. For example, one might focus on the point spread while the other centers on the outright winner. These variations in market structure and participant behavior contribute to the observed price differences.
This market resolves around Nov 14, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Utah-Arizona game will be used to determine the winning outcome. Traders will be able to see the official results and how they align with the predictions made within this market. The resolution process is designed to be transparent and based on publicly available information.
Several signals could influence this market before Nov 14, 2026. Key player injuries, changes in coaching strategy, or significant shifts in team performance are all potential catalysts. Unexpected news regarding player availability or team morale could also prompt traders to adjust their predictions. Additionally, external factors like weather conditions or even public sentiment, as reflected in social media, can sometimes play a role in shaping market movements. Monitoring these factors can provide insights into potential shifts in the odds.