TOTAL VOLUME:
$154.4b
24H VOL:
$230,589,906
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,885,293,300
410,482
Markets across
40,213
events
MATCHED EVENTS:
4,340
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 11:18 PM EST
Kalshi
This market tracks which team will lead after the first quarter of a college football game between Utah and Colorado. It focuses solely on the scoring dynamics of the opening quarter, ignoring the rest of the game’s outcome. The result depends on which team has the higher point total when the first quarter ends, or if the quarter ends in a tie.
If Colorado wins the 1st quarter of the Utah vs Colorado college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. If Utah wins the 1st quarter of the Utah vs Colorado college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. If neither team wins the 1st quarter of the Utah vs Colorado college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market represents the collective beliefs of traders. It's common to see discrepancies, especially early on, as new information emerges and traders adjust their positions. These differences can present opportunities for arbitrage or simply indicate varying perspectives on the likely outcome of the first quarter.
This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the first quarter will be declared the winner of this market. The resolution will be based on official game statistics and will be determined by the official score reported by the governing body of the event. Any adjustments or corrections to the official score after the initial reporting will be considered in the resolution process.
Several factors could influence this market before resolution. Any news regarding player injuries, changes in coaching strategies, or even weather conditions could shift trader sentiment. Unexpected performance in the early minutes of the game, or even pre-game reports on team morale, could also cause significant price movement. Furthermore, large volume trades from informed participants could quickly alter the odds, reflecting new insights or a change in overall market perception of the likely first-quarter winner.