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 4, 10:55 PM EST
Kalshi
This market tracks the outcome of the first half of a college football game between Murray St. and North Dakota. It focuses solely on which team leads at halftime, ignoring the final game result. The market accounts for potential game postponements within a defined window.
If North Dakota wins the 1st half of the Murray St. vs North Dakota college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If Murray St. wins the 1st half of the Murray St. vs North Dakota college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If neither team wins the 1st half of the Murray St. vs North Dakota college football game originally scheduled for Oct 3, 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 often set initial lines to balance betting action and incorporate a profit margin, while this market is driven purely by individuals trading on their beliefs about the outcome. If there's a significant discrepancy, it might suggest that PredictionHero users have information or a perspective that isn't fully priced into the sportsbook lines. It's common to see this market move independently of sportsbook movements, especially as new information emerges.
This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the first half winner of the Murray State vs. North Dakota game will be used to determine the winning contract. The official result, as reported by a recognized sports data provider, will be the basis for settlement. Traders will be able to claim their winnings or fulfill their obligations based on the final outcome of the first half.
Several factors could influence the trading activity in this market. Any news regarding player injuries, changes in coaching strategies, or even weather conditions could shift the perceived probabilities. Unexpected announcements about team lineups or key player availability would likely cause significant movement. Furthermore, large volume trades from individual users or groups could also impact the price, reflecting a strong conviction about the likely winner of the first half. Public sentiment and analysis from sports commentators could also play a role in influencing traders’ decisions.