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%
Utah
- Kalshi
Utah - Kalshi
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 14, 2026
Time left: 12d:01h:46m
$
The fifth contest features two college football teams playing on the specified date, and the victorious team settles the market.
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 often reflect the wisdom of the crowd, potentially differing from those set by sportsbooks. Sportsbooks establish lines based on their own models and aim to balance action on both sides, while this market allows traders to freely express their beliefs about the likelihood of each outcome. This can lead to discrepancies, especially as new information emerges or public sentiment shifts. It's common to see prediction market prices move independently of sportsbook odds, as they are driven by different forces and participant motivations.
This market resolves around Nov 14, 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 Utah vs Arizona game, as reported by a recognized sports data provider. The platform will then determine the winning contract and distribute payouts to those who correctly predicted the result. Traders should monitor official sources for updates as the resolution date approaches, ensuring they understand the final outcome as it is reported.
Several factors could influence the price of this market. Any news regarding player injuries, changes in coaching strategies, or unexpected team performance could significantly shift trader sentiment. Major upsets in other games involving these teams, or even broader shifts in public perception, could also play a role. Unexpected weather conditions on game day might also impact the odds. Monitoring these signals and analyzing their potential impact is key to understanding how this market might evolve before it resolves.