TOTAL VOLUME:

$154.3b

24H VOL:

$219,029,434

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,869,293,526

411,051

Markets across

40,408

events

MATCHED EVENTS:

4,377

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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San Diego St. vs Oregon St.: 2nd Quarter Winner
kalshi

What is the result of San Diego St. vs Oregon St.?

Volume:
$2,123

Oregon St.

 - Kalshi

Oregon St. - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 10, 2026

Closed: Oct 10, 7:47 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

Oregon St.

View
100%
Yes 100¢No 0¢
—
N/A
$864
N/A
N/A
$824
Settled
Yes
kalshi

San Diego St.

0%
Yes 0¢No 100¢
—
N/A
$810
N/A
N/A
$809
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$449
N/A
N/A
$449
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in the second quarter of an upcoming college football game between San Diego State and Oregon State. It tracks performance during a specific segment of the game, offering a granular perspective on team efficiency and strategy in a defined timeframe.

Kalshi

If Oregon St. wins the 2nd quarter of the San Diego St. vs Oregon St. college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If San Diego St. wins the 2nd quarter of the San Diego St. vs Oregon St. college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If neither team wins the 2nd quarter of the San Diego St. vs Oregon St. college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the San Diego St. vs Oregon St. 2nd quarter market displays the current odds, price history, and 24-hour trading volume. You can see how the implied probabilities have shifted over time as traders buy and sell contracts. Currently, the 24-hour volume is $2,123, and the total volume traded on this market is $2,123. This allows users to gauge market sentiment and track activity related to who will win the second quarter of the game.

Prediction market odds often reflect the collective wisdom of a diverse group of bettors, potentially differing from those set by sportsbooks. Sportsbooks establish initial lines based on statistical models and expert analysis, aiming to balance betting action on both sides. This market, however, allows individuals to express their own predictions, and the resulting odds can diverge from sportsbook lines as new information emerges or public sentiment shifts. These differences can present opportunities for informed traders who identify discrepancies between the two.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing potential outcomes. The price of a 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 set the odds by placing bids and asks, creating a dynamic pricing mechanism. As more traders participate and new information becomes available, the prices adjust, providing a real-time assessment of the likelihood of each team winning the second quarter.

This market resolves around Oct 11, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the second quarter of the San Diego St. vs Oregon St. game will be declared the winner of this market. Official game statistics and scores from recognized sports authorities will serve as the basis for determining the result. Traders will then be able to claim their winnings or fulfill their obligations based on the final outcome.

Several factors could influence trading activity in this market. Any news regarding player injuries, changes in team strategy, or even weather conditions could shift perceptions of each team's chances. Unexpected performance in the first quarter of the game would likely have a significant impact, as would any major in-game events like turnovers or key plays. Public sentiment and media coverage can also play a role, driving increased volume and price fluctuations as the game approaches and unfolds.