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 3, 2:56 PM EST
Kalshi
This market focuses on determining which team will score more points in a specific quarter of a college football game between Syracuse and UConn. It provides a way to bet on short-term performance rather than the overall game outcome. The resolution depends solely on the points scored during the designated quarter.
If UConn wins the 3rd quarter of the Syracuse vs UConn college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If Syracuse wins the 3rd quarter of the Syracuse vs UConn college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If neither team wins the 3rd quarter of the Syracuse vs UConn college football game originally scheduled for Oct 3, 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, whereas this market allows traders to directly express their beliefs about the probability of each team winning the third quarter. While sportsbooks may adjust their odds based on news or betting patterns, this market’s prices are driven purely by supply and demand among traders.
This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the third quarter of the Syracuse vs UConn game will be declared the winner of this market. Resolution will be based on the official game statistics and score as provided by a reliable sports data source. Traders will then be able to claim their winnings or fulfill their obligations based on the final result.
Several factors could influence the price of this market before it resolves. Any news regarding injuries to key players on either the Syracuse or UConn teams would likely have a significant impact. Changes in team performance during the first half of the game, or even pre-game adjustments to starting lineups, could also shift trader sentiment. Unexpected weather conditions, if the game is outdoors, could also play a role. Ultimately, any information that alters perceptions of each team's chances of winning the third quarter could move this market.