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24H VOL:

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OPEN INTEREST:

$1,885,293,300

410,482

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MATCHED EVENTS:

4,340

PLATFORM COVERAGE:

5

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Northwestern vs Oregon: 1st Quarter Winner
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What is the result of Northwestern vs Oregon?

Volume:
$23,012

Northwestern

 - Kalshi

Northwestern - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 31, 2026

Closed: Oct 31, 4:13 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

Northwestern

View
100%
Yes 100¢No 0¢
—
N/A
$8,939
N/A
N/A
$6,712
Settled
Yes
kalshi

Oregon

0%
49%
Yes 0¢No 100¢
—
N/A
$11,847
N/A
N/A
$9,248
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$2,227
N/A
N/A
$1,913
Settled
No
Total markets: 3

Description

This market focuses on predicting which team will lead after the first quarter of a college football game between Northwestern and Oregon. It reflects the competitive dynamics of the early game stages, where momentum can shift rapidly. The outcome depends solely on the scoring during the initial 15 minutes of play.

Kalshi

If Oregon wins the 1st quarter of the Northwestern vs Oregon college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If Northwestern wins the 1st quarter of the Northwestern vs Oregon college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If neither team wins the 1st quarter of the Northwestern vs Oregon college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Northwestern vs Oregon 1st quarter market provides a real-time view of how traders are pricing the potential outcomes. You'll find the current odds for each team to win the first quarter, a price history chart illustrating how those odds have changed over time, and the 24-hour trading volume, currently at $808. The total volume traded on this market is $818. This allows you to gauge market sentiment and track changes as new information becomes available before the game begins.

Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and risk management, while this market is driven by individuals betting with their own capital. It’s common to see differences emerge, especially as new information surfaces or public sentiment shifts. Examining these discrepancies can be valuable when forming your own informed opinion about the likely outcome of the first quarter.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing each possible outcome – in this case, either Northwestern or Oregon winning the first quarter. The price of each contract reflects the probability of that outcome as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and place bets, the prices adjust, providing a dynamic and real-time assessment of the likelihood of each team taking an early lead. This creates a fluid environment where prices can move rapidly based on new information or changing opinions.

This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the official result of which team wins the first quarter of the Northwestern versus Oregon football game will determine the winning contract. The platform will verify the result against official game statistics and reporting to ensure accuracy and transparency. Traders holding the winning contract will receive a payout based on the final market price at resolution.

Several factors could influence the price movement of this market. Any news regarding key player injuries for either Northwestern or Oregon would likely have a significant impact. Changes in weather forecasts, particularly if they favor one team’s playing style, could also shift the odds. Pre-game analysis from sports analysts and updated betting lines from sportsbooks might also influence traders’ decisions. Finally, even public sentiment and social media buzz surrounding the game could contribute to price fluctuations as the kickoff approaches.