TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 12:34 PM EST
Kalshi
This market tracks which team will lead after the first quarter of a college football game between Washington State and Kansas State. It focuses solely on the scoring dynamics during the initial 15 minutes of play, ignoring the rest of the game. The outcome depends on whether Kansas State, Washington State, or neither team (in case of a tie) holds the points advantage at the end of the first quarter.
If Kansas St. wins the 1st quarter of the Washington St. vs Kansas St. college football game originally scheduled for Sep 12, 2026, then the market resolves to Yes. If Washington St. wins the 1st quarter of the Washington St. vs Kansas St. college football game originally scheduled for Sep 12, 2026, then the market resolves to Yes. If neither team wins the 1st quarter of the Washington St. vs Kansas St. college football game originally scheduled for Sep 12, 2026, then the market resolves to Yes.
Typically, prediction market odds reflect the wisdom of the crowd and can differ 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 belief of traders. If a significant discrepancy exists, arbitrage opportunities may arise, where traders can profit by betting on both platforms. However, it’s important to remember that prediction markets often incorporate information faster than sportsbooks, especially regarding late-breaking news or sentiment shifts.
This market resolves around Sep 12, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the first quarter of the Washington State vs. Kansas State game will be declared the winner. The resolution will be based on the official game results as reported by a trusted sports data source. Traders will then be able to claim their winnings or adjust their positions based on the final result.
Several factors could influence this market before resolution. Any news regarding key player injuries, changes in coaching strategies, or even weather conditions could shift trader sentiment. Unexpected announcements about team lineups or starting quarterbacks would likely have a significant impact. Public opinion, as reflected in polls or expert analyses, could also play a role, although this market is driven primarily by trading activity. Major shifts in betting volume, particularly leading up to kickoff, would also be a strong signal of changing expectations.