TOTAL VOLUME:
$154.8b
24H VOL:
$277,138,640
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,905,404,943
412,077
Markets across
39,838
events
MATCHED EVENTS:
4,526
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 6:50 PM EST
Kalshi
This set of markets tracks the margin of victory for Notre Dame in their upcoming college football game against Stanford. Each market corresponds to a specific point differential threshold, allowing participants to speculate on how decisively Notre Dame might win.
All markets resolve based on the official point differential from the Stanford vs Notre Dame college football game scheduled for October 10, 2026. For any market, if Notre Dame's victory exceeds the specified point threshold, it resolves to Yes; otherwise, it resolves to No. If the game is postponed but commences within 48 hours of the original start time, the markets remain active and resolve according to the final 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 under these contingency conditions.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often incorporating information and analysis beyond what’s readily available to sportsbooks. While sportsbooks set initial lines based on team performance and other factors, this market allows traders to adjust those expectations based on a wider range of inputs, including injury reports, weather forecasts, and even subtle shifts in public sentiment. It’s common to see prediction markets move more quickly to incorporate new information than traditional sportsbooks, potentially offering a more accurate assessment of the likely outcome.
This market resolves around Oct 11, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread of the Stanford-Notre Dame game, as determined by official game statistics, will be used to determine which contracts pay out. Contracts predicting the actual spread will be settled at 100, while those predicting a different spread will be settled at 0. The resolution process is designed to be transparent and based on publicly available data, ensuring a fair and accurate outcome.
Several factors could significantly impact this market before the game concludes. Major news regarding key player injuries on either Stanford or Notre Dame would likely cause substantial shifts in the price. Unexpected changes in weather conditions, particularly if they favor one team’s playing style, could also influence trading activity. Finally, any significant public statements from coaches or players that alter perceptions of team confidence or strategy could drive movement in the market as traders react to the new information.