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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Stanford vs Notre Dame: 2nd Half Winner
kalshi

What is the result of Stanford vs Notre Dame?

Volume:
$10,082

Notre Dame

 - Kalshi

Notre Dame - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 10, 2026

Closed: Oct 10, 6:55 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%
Yes 100¢No 0¢
—
N/A
$2,574
N/A
N/A
$2,147
Settled
Yes
kalshi

Stanford

0%
Yes 0¢No 100¢
—
N/A
$6,866
N/A
N/A
$6,649
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$643
N/A
N/A
$640
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in the second half of a college football game between Stanford and Notre Dame. It specifically evaluates performance from halftime onward, including any overtime periods, to decide the winner for that segment of the game.

Kalshi

If Notre Dame wins the 2nd half (including overtime) 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 half (including overtime) 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 half (including overtime) 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 half market tracks the current price, price history, and 24-hour trading volume. Currently, the volume is $10,082 and the total volume traded to date is $10,082. This allows participants to see how the perceived probability of each outcome is changing over time, and how much activity there is in this particular market. The dashboard provides a real-time view of the collective predictions of traders on Kalshi.

Prediction market odds often differ from traditional sportsbook odds, reflecting the wisdom of the crowd versus the assessments of professional oddsmakers. Sportsbooks set lines to balance action and ensure profit, while this market aggregates the beliefs of many individuals. Discrepancies can arise due to differing information, biases, or simply the varying motivations of participants. It’s common to see this market move independently of sportsbook lines, especially as new information becomes available or public sentiment shifts regarding the likely winner of the 2nd half.

On Kalshi, this market is priced through a continuous double auction, meaning traders buy and sell contracts representing each possible 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 expectations. The higher the price of a contract, the greater the implied probability of that outcome, and vice versa. This creates a fluid and responsive pricing mechanism.

This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning team of the 2nd half of the Stanford vs Notre Dame game will determine the outcome. The resolution will be based on the official result as reported by a trusted sports data source. Traders will be able to see the final result reflected in their account balances shortly after the game concludes and the official results are available.

Several factors could significantly influence this market before resolution. Key injuries to star players on either the Stanford or Notre Dame teams would likely cause price shifts. Unexpected changes in weather conditions, such as heavy rain or strong winds, could also impact the perceived probabilities. Furthermore, any significant news regarding team morale, coaching decisions, or strategic adjustments could move the market. Real-time game performance in the first half, including scoring drives and defensive stops, will also be closely watched by traders.