TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 19, 9:13 PM EST
Kalshi
These markets track the point differential in the first half of a college football game between Michigan State and Notre Dame. Outcomes depend on which team leads by a specific margin at halftime, reflecting betting interest in early-game performance dynamics.
All markets resolve based solely on points scored during the first half of the designated game. If Notre Dame holds a lead exceeding the specified threshold at halftime, corresponding 'Notre Dame wins 1H by over X points' markets resolve to Yes; if Michigan State leads by more than the threshold, related markets resolve to Yes. Markets where neither team meets the threshold resolve to No. Postponements are handled by monitoring start-time adherence: games beginning within 48 hours of the original schedule remain active and resolve per final first-half results. If play does not commence within this window, all affected markets resolve to a fair price, ensuring equitable treatment for participants regardless of scheduling disruptions.
Generally, prediction market odds tend to reflect information and analysis more quickly than traditional sportsbook odds. Sportsbooks may initially set lines based on power rankings or public perception, while this market incorporates a wider range of factors as traders actively assess and react to news and insights. However, sportsbook odds are often more readily available and may offer different types of wagers. It’s common to see discrepancies between the two, especially as new information emerges, but both attempt to predict the same outcome for the Michigan State vs Notre Dame game.
On Kalshi, this market is priced through a continuous order book where traders can buy and sell contracts representing their belief about the outcome of the Michigan State vs Notre Dame spread. The price of a contract reflects the probability of that outcome occurring, as determined by supply and demand. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more people buy contracts predicting a certain spread, the price increases, and vice versa. This dynamic pricing mechanism allows the market to aggregate information and provide a real-time assessment of the likely result. The current market reflects the collective intelligence of those trading on Kalshi.
This market resolves around Sep 20, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the first half spread in the Michigan State vs Notre Dame game will be used to determine which contracts payout. The resolution will be based on the official result reported by the governing body of college football. Traders will be able to see the final outcome and any associated payouts on Kalshi after the game concludes and the result is verified. This ensures a transparent and objective resolution process.
Several signals could significantly move this market before Sep 20, 2026. Any news regarding key player injuries for either Michigan State or Notre Dame would likely have a substantial impact. Changes in weather forecasts, particularly if they suggest adverse playing conditions, could also shift the spread. Unexpected coaching decisions or strategic adjustments announced by either team could influence trader sentiment. Finally, any significant public statements from analysts or experts offering updated predictions could contribute to price fluctuations in this market. Monitoring these factors will be key to understanding potential shifts.