TOTAL VOLUME:
$154.3b
24H VOL:
$228,458,490
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,879,276,037
410,833
Markets across
40,345
events
MATCHED EVENTS:
4,363
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 5:20 PM EST
Kalshi
This set of markets focuses on predicting the point differential in the first half of an upcoming college football game. Each market corresponds to a specific margin by which either team could win the first half, allowing participants to bet on various possible outcomes.
All markets resolve based solely on points scored during the first half of the Stanford vs Notre Dame college football game scheduled for October 10, 2026. If Notre Dame wins the first half by more than the specified margin listed in the market title, that market resolves to Yes; if Stanford wins by more than the specified margin, the corresponding Stanford market resolves to Yes. If neither team meets their respective margin criteria, all markets resolve to No. Should the game be postponed but commence within 48 hours of its original start time, all markets remain active and resolve based on the official first-half result. If the game fails to start within 48 hours of the scheduled time, all markets will resolve at a fair price, taking into account all known information up to that point.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set their lines based on their own analysis and to balance betting action, while this market is driven by individuals trading based on their own information and beliefs. It's common to see discrepancies, especially as new information emerges or public sentiment shifts. Polls and analysts often predict a close game, but the market price provides a different perspective based on actual money being wagered on the outcome.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads. The price of each contract reflects the probability of that spread occurring, as determined by supply and demand. Traders who believe Notre Dame will win by more than 6.5 points will buy contracts representing that outcome, driving up the price. Conversely, those who believe Stanford will cover the spread will sell contracts. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust expectations as the game approaches.
This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread for the first half of the Stanford vs Notre Dame game will be used to determine which contracts pay out. The resolution will be based on the official result reported by the governing body of college football, ensuring a transparent and verifiable outcome. Traders will be able to see which contracts were successful and receive their payout accordingly.
Several factors could influence this market before the game begins. Any news regarding key player injuries for either Stanford or Notre Dame would likely cause significant movement. Changes in weather forecasts, especially if they are expected to impact the passing or running game, could also shift expectations. Public sentiment, as reflected in polls and media coverage, can also play a role, although the market is ultimately driven by actual trading activity. Late-breaking news or unexpected developments could lead to substantial price fluctuations in this market.