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 17, 3:26 PM EST
Kalshi
These markets track the total points scored by both teams in the second half of a college football game, including any overtime periods. Each market has a different threshold for the total points needed to resolve as 'Yes'.
All markets resolve based on the total points scored by both teams in the second half (including overtime) of the Northwestern vs Michigan St. college football game scheduled for Oct 17, 2026. Each market has a specific threshold: if the combined second-half points exceed the threshold, the market resolves to Yes; otherwise, it resolves to No. For all markets, only points scored in the second half count. If the game is postponed but starts within 48 hours of the original time, trading remains open and resolves based on the final result. If the game does not start within 48 hours, all markets resolve to a fair price. Kalshi disclaims any affiliation with the NCAA, and all trademarks remain property of their respective owners.
Prediction market odds often reflect the wisdom of the crowd, potentially differing from sportsbook odds which can be influenced by factors like house bias or promotional offers. Sportsbooks set initial lines to balance betting action, while this market allows traders to openly buy and sell contracts representing their beliefs about the final score. It’s common to see discrepancies, especially as new information emerges or public sentiment shifts. Comparing the two can provide a broader perspective on the likely outcome of the Northwestern vs Michigan St. 2nd half and reveal where the perceived value lies.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their predictions about the total score in the second half. The price of a contract indicates the probability of that outcome occurring, with higher prices suggesting a greater likelihood. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to provide accurate predictions, as profitable trades are rewarded. The market dynamically adjusts as new information becomes available and traders revise their expectations, ultimately reflecting a collective forecast for the event’s outcome. This creates a real-time assessment of potential results.
This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final total score of the second half of the Northwestern vs Michigan St. game will be used to determine which contracts pay out. The official game statistics, as reported by a trusted sports data source, will serve as the basis for settlement. Traders holding contracts corresponding to the actual total will receive a payout, while those holding contracts representing incorrect predictions will not. This ensures a transparent and objective resolution process.
Several factors could influence the price of this market before the game concludes. Key injuries to starting players on either the Northwestern or Michigan St. teams would likely have a significant impact. Changes in weather conditions, such as heavy rain or strong winds, could also shift expectations about scoring. Late-breaking news regarding team strategy or player matchups could also move the market. Even significant shifts in public sentiment, driven by media coverage or social media discussions, could influence trading activity and alter the price of contracts in this market.