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 3, 8:19 PM EST
Kalshi
These markets track the performance of Utah State and Boise State in the first quarter of their scheduled college football game. They focus on the point differential between the two teams during that specific segment of play, offering various thresholds for victory margins.
All markets resolve based solely on points scored during the first quarter of the Utah St. vs Boise St. college football game scheduled for Oct 3, 2026. A 'Yes' outcome occurs if the specified team wins the first quarter by more than the designated point margin. If the game is postponed but commences within 48 hours of the original start time, markets remain open and resolve according to the official first-quarter result. Should the game fail to start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the eventual game status.
Generally, prediction markets and sportsbooks often arrive at similar probabilities, but they gather information differently. Sportsbooks set their lines based on statistical models and expert analysis, while this market reflects the collective wisdom of traders who are incentivized to accurately forecast the outcome. Discrepancies can arise due to differing opinions, information advantages held by traders, or simply variations in modeling approaches. It’s common to see this market move in response to news or events that haven’t yet been fully incorporated into sportsbook odds, and vice versa.
This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the final point spread in the first quarter of the Utah St. vs Boise St. game will be used to determine which contracts pay out. The resolution will be based on official game statistics, and the market will settle to 100 for the winning spread and 0 for the losing spread. Traders will be able to see the final result reflected in their account balances shortly after the game concludes.
Several factors could influence the price of this market before the game takes place. News regarding injuries to key players on either the Utah St. or Boise St. teams would likely have a significant impact. Changes in weather forecasts, particularly if they suggest unfavorable playing conditions, could also shift the market. Additionally, any late-breaking news about team strategies or coaching decisions could lead to price movements as traders adjust their predictions based on new information. Public sentiment and betting trends in sportsbooks may also play a role.