TOTAL VOLUME:

$154.4b

24H VOL:

$245,801,863

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,902,097,102

417,059

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40,178

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MATCHED EVENTS:

4,415

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

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Stanford vs Notre Dame: 2nd Quarter Winner
kalshi

What is the result of Stanford vs Notre Dame?

Volume:
$2,527

Notre Dame

 - Kalshi

Notre Dame - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 10, 2026

Closed: Oct 10, 5:20 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

Notre Dame

View
100%
12%
Yes 100¢No 0¢
—
N/A
$999
N/A
N/A
$953
Settled
Yes
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$769
N/A
N/A
$769
Settled
No
kalshi

Stanford

0%
Yes 0¢No 100¢
—
N/A
$759
N/A
N/A
$745
Settled
No
Total markets: 3

Description

This market focuses on predicting which team will score more points in a specific quarter of a college football game between Stanford and Notre Dame. It highlights the competitive nature of individual game segments rather than the overall match outcome. The resolution depends solely on the performance during the designated quarter.

Kalshi

If Notre Dame wins the 2nd quarter of the Stanford vs Notre Dame college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If Stanford wins the 2nd quarter of the Stanford vs Notre Dame college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If neither team wins the 2nd quarter of the Stanford vs Notre Dame college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Stanford vs Notre Dame 2nd quarter market tracks the current price, price history, and 24-hour trading volume. Currently, the volume is $2,522 and the total volume for this market is $2,527. You can see how the price fluctuates as traders buy and sell contracts representing their beliefs about which team will win the second quarter. The dashboard provides a visual representation of market sentiment and allows you to analyze trading activity over time, helping to understand how opinions are shifting.

Prediction market odds often reflect a different kind of wisdom than sportsbook odds. Sportsbooks set lines to balance action and incorporate a profit margin, while this market aggregates the diverse perspectives of many individual traders. Often, prediction markets are considered to be more accurate forecasts of future events, as they benefit from the collective intelligence of a large group. However, sportsbook odds can be influenced by public betting patterns, leading to potential discrepancies. It's common to see differences in implied probabilities between this market and traditional sportsbooks.

On Kalshi, this market is priced through a continuous auction, where traders buy and sell contracts representing their belief about the outcome of the second quarter. 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, the price converges towards what the collective believes is the true probability. The price can fluctuate rapidly based on news, analysis, and overall market sentiment, creating opportunities for traders to profit from correctly anticipating the outcome.

This market resolves around Oct 10, 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 Stanford vs Notre Dame game will be declared the winner of this market. The resolution will be based on the official game results as reported by a trusted sports news source. Traders will be able to see the final result reflected in their account balances shortly after the game concludes and the outcome is verified.

Several signals could significantly move this market before resolution. Any news regarding key player injuries for either Stanford or Notre Dame would likely cause price fluctuations. Significant changes in weather forecasts could also impact the market, as weather conditions can affect game strategy and performance. Furthermore, any major shifts in public perception, perhaps driven by expert analysis or pre-game reports, could influence trading activity. Unexpected developments during the first quarter of the game itself would also be a major catalyst for price movement in this market.