TOTAL VOLUME:
$154.8b
24H VOL:
$245,601,049
24H TRANSACTIONS:
2,985,204,718
OPEN INTEREST:
$1,897,405,322
408,349
Markets across
39,583
events
MATCHED EVENTS:
4,443
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 24, 1:46 PM EST
Kalshi
This market focuses on predicting which team will score more points in a specific quarter of a college football game between Rutgers and Northwestern. It highlights the importance of short-term performance over the full game outcome. The resolution depends solely on the scoring during that designated quarter.
If Northwestern wins the 2nd quarter of the Rutgers vs Northwestern college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If Rutgers wins the 2nd quarter of the Rutgers vs Northwestern college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If neither team wins the 2nd quarter of the Rutgers vs Northwestern college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes.
Generally, prediction market odds tend to reflect the collective wisdom of informed traders, and can often be more accurate than traditional sportsbook odds, especially as an event approaches. Sportsbooks set lines to balance action and ensure profit, while this market is driven purely by participants’ beliefs about the outcome. However, initial sportsbook lines can sometimes serve as a baseline for comparison, and discrepancies can present opportunities for arbitrage. It’s common to see this market move independently of sportsbook lines as new information becomes available and traders adjust their positions.
This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the market will settle based on which team—Rutgers or Northwestern—has the higher score at the end of the 2nd quarter of the game. The official game results will be used to determine the winning outcome. Traders will be able to claim their winnings shortly after the official results are released and verified. This ensures a transparent and reliable resolution process.
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 trader sentiment. Unexpected performance in the first quarter of the game would likely have a significant impact, as would any in-game developments like key turnovers or scoring drives. Public perception and analysis from sports commentators could also play a role, influencing how traders assess the probabilities. Monitoring these signals can help understand potential shifts in the market before Oct 24, 2026.