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$235,918,089

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2,984,028,936

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$1,884,820,873

413,109

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MATCHED EVENTS:

4,364

PLATFORM COVERAGE:

5

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Rutgers vs Northwestern: 3rd Quarter Winner
kalshi

What is the result of Rutgers vs Northwestern?

Volume:
$7,009

Rutgers

 - Kalshi

Rutgers - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 2:39 PM EST

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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

Rutgers

View
100%
Yes 100¢No 0¢
—
N/A
$4,093
N/A
N/A
$1,813
Settled
Yes
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$1,722
N/A
N/A
$1,293
Settled
No
kalshi

Northwestern

0%
Yes 0¢No 100¢
—
N/A
$1,194
N/A
N/A
$992
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in a specific quarter of a college football game between Rutgers and Northwestern. It provides a way to bet on short-term performance rather than the overall game outcome. The resolution depends solely on third-quarter scoring.

Kalshi

If Northwestern wins the 3rd quarter of the Rutgers vs Northwestern college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If Rutgers wins the 3rd quarter of the Rutgers vs Northwestern college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If neither team wins the 3rd quarter of the Rutgers vs Northwestern college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Rutgers-Northwestern 3rd quarter market tracks the current odds for each possible outcome, along with a price history chart showing how those odds have changed over time. You’ll also find the 24-hour trading volume, currently at $3,687, and the total overall volume traded in this market, which is $7,009. This provides a real-time view of how traders are assessing the likelihood of each team winning the third quarter, and how much activity is happening in the market.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, whereas this market is 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 here will adjust accordingly. It’s common to see discrepancies, especially as new information emerges or public sentiment shifts, offering potential value for informed traders.

On Kalshi, this market is priced through a continuous order book, where traders buy and sell contracts representing each possible outcome. The price of a contract reflects the market’s probability of that outcome occurring; a higher price indicates a greater perceived chance of success. 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. This creates a real-time assessment of the likely winner of the third quarter between Rutgers and Northwestern.

This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the market will settle based on which team—Rutgers or Northwestern—has the higher score at the end of the third quarter of the game. The final score will be verified against official game statistics and sources to determine the winning outcome for this market. Traders will then be paid out based on their positions at the time of resolution.

Several factors could influence the price movement in this market. Any news regarding injuries to key players on either Rutgers or Northwestern would likely have a significant impact. Changes in team performance during the first half of the game, or even pre-game reports on team strategy, could also shift trader sentiment. Unexpected weather conditions, or even a change in public perception based on social media trends, might also contribute to price fluctuations. Ultimately, any information that alters the perceived probability of either team winning the third quarter could move this market.