TOTAL VOLUME:
$154.4b
24H VOL:
$235,918,089
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,884,820,873
413,109
Markets across
40,428
events
MATCHED EVENTS:
4,364
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 31, 6:08 PM EST
Kalshi
This set of markets tracks the point differential specifically within the third quarter of an upcoming college football game, allowing participants to speculate on which team will dominate that particular segment of play.
All markets resolve based solely on points scored during the third quarter of the Northwestern vs Oregon college football game scheduled for October 31, 2026. Each market corresponds to a specific point threshold that must be exceeded by either team for a 'Yes' resolution. If the game is postponed but commences within 48 hours of its original start time, all markets remain active and resolve according to the official third-quarter result. Should the game fail to start within this 48-hour window, all markets will resolve to a fair price, ensuring equitable treatment for all participants regardless of the game's ultimate status.
Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set their lines based on statistical models and expert analysis, while this market incorporates real-money wagers, incentivizing participants to express their most accurate beliefs. It's common to see discrepancies between the two, especially before significant events or when new information emerges. These differences can stem from varying risk assessments, differing levels of information, or simply the unique dynamics of each venue. Analyzing these differences can be valuable for informed decision-making.
This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread for the third quarter of the Northwestern versus Oregon game will be used to determine which contracts payout. Specifically, the difference in points scored between the two teams at the end of the third quarter will be compared to the contract's spread to determine winners and losers. This ensures a transparent and objective resolution process based on the official game results.
Several factors could influence the price of this market. Any news regarding player injuries to key players on either Northwestern or Oregon would likely have a significant impact. Changes in team strategy or coaching decisions could also shift expectations. Unexpected weather conditions on game day might affect the scoring dynamics and, consequently, the spread. Furthermore, public perception and media coverage can influence trader sentiment, leading to price fluctuations. Monitoring these signals will be crucial for understanding potential shifts in this market before it resolves.