TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 2:34 PM EST
Kalshi
This market focuses on predicting which team will score more points in a specific quarter of a college football game between Northwestern and Michigan State. The outcome depends solely on the performance during the third quarter, regardless of the overall game result. If the game is delayed but starts within 48 hours, the market still applies; otherwise, it resolves to a fair price.
If Michigan St. wins the 3rd quarter of the Northwestern vs Michigan St. college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. If Northwestern wins the 3rd quarter of the Northwestern vs Michigan St. college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. If neither team wins the 3rd quarter of the Northwestern vs Michigan St. 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 sportsbook odds which may be influenced by factors like house biases or initial public perception. Sportsbooks set lines to balance action, while this market allows traders to freely express their beliefs about the likelihood of each outcome. It's common to see discrepancies, especially before significant events or when new information emerges, as traders adjust their positions based on analysis and insights. Comparing these odds can provide a broader perspective on the potential result.
This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the 3rd quarter of the Northwestern vs Michigan State game will be declared the winner of this market. The resolution will be based on official game statistics and results, ensuring a transparent and accurate determination of the winning team. Traders will be able to view the final result on Kalshi after verification.
Several factors could influence this market before resolution. Any news regarding player injuries, changes in coaching strategies, or unexpected weather conditions could shift trader sentiment. Significant shifts in public opinion, as reflected in polls or expert analysis, could also impact the market. Additionally, in-game performance during the first half of the Northwestern vs Michigan State game could cause rapid adjustments in the odds as traders react to the unfolding events and reassess probabilities.