TOTAL VOLUME:

$154.4b

24H VOL:

$290,393,159

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,944,100,805

420,493

Markets across

40,511

events

MATCHED EVENTS:

4,612

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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NC St. vs Stanford: 2nd Quarter Winner
kalshi

What is the result of NC St. vs Stanford?

Volume:
$18,622

Tie

 - Kalshi

Tie - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 12:14 AM EST

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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

Tie

View
100%
Yes 100¢No 0¢
—
N/A
$2,627
N/A
N/A
$2,377
Settled
Yes
kalshi

Stanford

0%
Yes 0¢No 100¢
—
N/A
$10,945
N/A
N/A
$8,671
Settled
No
kalshi

NC St.

0%
Yes 0¢No 100¢
—
N/A
$5,050
N/A
N/A
$3,115
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 NC State and Stanford. It provides a way to speculate on short-term performance during the second quarter of play. The outcome depends solely on the points scored in that quarter, not the overall game result.

Kalshi

If Stanford wins the 2nd quarter of the NC St. vs Stanford college football game originally scheduled for Oct 23, 2026, then the market resolves to Yes. If NC St. wins the 2nd quarter of the NC St. vs Stanford college football game originally scheduled for Oct 23, 2026, then the market resolves to Yes. If neither team wins the 2nd quarter of the NC St. vs Stanford college football game originally scheduled for Oct 23, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the NC State vs Stanford 2nd quarter market displays the current odds for each possible outcome – which team will win the second quarter. It also provides a price history chart, showing how the odds have fluctuated over time, and the 24-hour trading volume, currently at $18,622. The total volume for this market is $18,622. This allows traders to monitor market sentiment and activity related to the game’s second quarter, helping them make informed decisions about where to allocate their capital.

Typically, prediction market odds reflect the wisdom of the crowd, aggregating diverse perspectives on the likely outcome. This often leads to probabilities that are more accurate than those initially offered by sportsbooks, which may be influenced by factors like public bias or initial lines set by oddsmakers. However, sportsbook odds can sometimes move closer to prediction market prices as more information becomes available and betting action occurs. It's common to see discrepancies, especially early on, as this market develops and information is priced in.

On Kalshi, this market is priced through a continuous order book, where traders buy and sell contracts representing their belief in each outcome. 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. As more traders participate and new information emerges, the prices adjust dynamically, providing a real-time assessment of the likely winner of the second quarter. The current price indicates the market’s collective expectation for each team’s performance.

This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the team leading at the end of the second quarter of the NC State versus Stanford game will be declared the winner of this market. The official game results, as reported by a trusted sports data source, will be used to determine the final outcome and settle all outstanding contracts. Traders should monitor official sources for confirmation of the final score.

Several factors could influence the price of this market before resolution. Any news regarding player injuries, changes in team strategy, or even weather conditions could shift expectations and impact trading activity. Unexpected performance in the first quarter of the game would likely cause significant price movement. Furthermore, large trading volume from informed participants could also signal a change in sentiment and drive price fluctuations. Monitoring these signals will be key to understanding how this market evolves.