TOTAL VOLUME:

$142.8b

24H VOL:

$98,814,403

24H TRANSACTIONS:

2,660,434,525

OPEN INTEREST:

$1,605,027,424

484,805

Markets across

36,640

events

MATCHED EVENTS:

2,879

PLATFORM COVERAGE:

5

Polymarket:

38%

VS.

Kalshi:

62%

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Penn St. vs Northwestern
kalshi

What is the result of Penn St. vs Northwestern?

Volume:
$12,458,746

Northwestern

 - Kalshi

Northwestern - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 3, 2026

Closed: Oct 2, 11:39 PM EST

kalshi

Kalshi

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Northwestern

View
100%
56%
Yes 100¢No 0¢
100¢
N/A
$5,367,832
N/A
N/A
$3,246,400
Settled
Yes
kalshi

Penn St.

0%
Yes 0¢No 100¢
100¢
N/A
$7,090,914
N/A
N/A
$5,083,376
Settled
No
Total markets: 2

Intro

This market tracks whether Northwestern will win its college football game against Penn State. Currently, Kalshi gives Northwestern an 89.0% probability of winning, while Penn State is at 11.0%. The market will resolve based on the outcome of the Penn St. vs Northwestern game originally scheduled for October 2, 2026, as determined by the official game result. Keep an eye on the game itself, as the market resolves to Yes if Northwestern wins the contest scheduled for October 2, 2026.

Kalshi

Markets resolve to Yes for the respective team if that team wins the Penn St. vs Northwestern college football game originally scheduled for Oct 2, 2026. If the game is postponed but begins within 48 hours of its originally scheduled start time, the market remains open and resolves based on the official final result. If the game is cancelled or not started within 48 hours of its originally scheduled start, the market resolves to a fair price. Kalshi is not affiliated with the NCAA; all trademarks belong to their respective owners.

Frequently asked questions

Prediction market odds often reflect the wisdom of the crowd, potentially differing from those set by sportsbooks. Sportsbooks typically set initial lines to balance action on both sides, while this market’s odds are driven by individuals willing to put their capital behind their beliefs. If a significant number of traders believe a sportsbook is undervaluing a particular outcome, the odds in this market will adjust accordingly. It’s common to see discrepancies, especially early on, as prediction markets can incorporate information and analysis more quickly than traditional bookmakers. These differences can present opportunities for informed traders.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of each contract reflects the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are constantly adjusting their bids and asks based on new information and their own analysis, leading to dynamic price movements. The more traders who believe an outcome is likely, the higher the price of its corresponding contract will rise, and vice versa. This creates a real-time assessment of probabilities based on collective intelligence.

This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Penn State vs Northwestern game. The platform will verify the final score and declare the winning outcome based on publicly available and authoritative sources. Traders who correctly predicted the outcome will be paid out according to the final market prices at resolution. It’s important to monitor news sources around this date to stay informed about the event’s progress and potential resolution triggers.

Several factors could influence the trading activity in this market. Any news regarding injuries to key players on either Penn State or Northwestern would likely cause significant shifts in the odds. Changes in weather forecasts, particularly if they suggest adverse conditions, could also impact the perceived likelihood of different outcomes. Unexpected announcements about coaching strategies or team morale could also move the market. Furthermore, large volume trades from informed participants could signal shifts in sentiment and trigger further price adjustments as traders react to new information.