TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 25, 12:47 AM EST
Kalshi
This market focuses on predicting which team will score more points specifically in the third quarter of an upcoming college football game between Houston and Utah. It highlights the importance of short-term performance over the full game duration. Outcomes depend entirely on third-quarter scoring dynamics, with a tie resolving positively as well.
If Utah wins the 3rd quarter of the Houston vs Utah college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If Houston wins the 3rd quarter of the Houston vs Utah college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If neither team wins the 3rd quarter of the Houston vs Utah college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from sportsbook odds which can be influenced by factors like house bias or initial public perception. Sportsbooks typically set lines to balance betting action and ensure profitability, while this market allows traders to collectively assess the probability of each outcome. It’s common to see discrepancies, especially before significant events or breaking news impacts the perceived likelihood of either team winning the 3rd quarter. Examining these differences can reveal insights into where the crowd believes the value lies.
This market resolves around Oct 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the official score at the end of the 3rd quarter of the Houston vs Utah game will determine which team is declared the winner for the purposes of this market. The result will be based on the official game statistics as reported by a recognized sports data provider. Traders will then be able to claim their winnings based on the final outcome.
Several factors could significantly influence this market. Any news regarding injuries to key players on either the Houston or Utah teams would likely cause price adjustments. Changes in team performance during the game itself, such as a dominant start to the 3rd quarter by one team, could also lead to shifts in the market. Unexpected tactical decisions by coaches, or even weather conditions if the game is outdoors, could also play a role in how traders assess the probabilities. Public sentiment and late-breaking analysis from sports commentators could also move the market.