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%

BETA
Dashboards
Tour
All
Sports
Stanford vs Notre Dame: 4th Quarter Winner
kalshi

What is the result of Stanford vs Notre Dame?

Volume:
$3,366

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

kalshi

Kalshi

View
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%
25%
Yes 100¢No 0¢
—
N/A
$1,857
N/A
N/A
$1,796
Settled
Yes
kalshi

Stanford

0%
Yes 0¢No 100¢
—
N/A
$829
N/A
N/A
$767
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$680
N/A
N/A
$667
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in the final quarter of a college football game between Stanford and Notre Dame. It tracks the competitive performance of both teams specifically in the last 15 minutes of regulation time, excluding any overtime periods. The outcome depends solely on the points scored during that designated timeframe.

Kalshi

If Notre Dame wins the 4th quarter (excluding 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 4th quarter (excluding 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 4th quarter (excluding 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 game tracks the current odds of each team winning the 4th quarter, along with a price history showing how those odds have changed over time. You can also see the 24-hour trading volume, which currently stands at $3,353, and the total volume traded to date, which is $3,366. This allows users to gauge market sentiment and activity surrounding this particular contest. The dashboard provides a real-time view of how PredictionHero users are forecasting the outcome of the final quarter.

Prediction market odds often reflect the wisdom of the crowd, potentially differing from initial sportsbook lines which are often set by experts. Sportsbooks may incorporate factors like team news and public perception, while this market allows anyone to trade on their beliefs. Over time, prediction market prices tend to become more accurate as more information becomes available and more traders participate. It’s common to see convergence between prediction markets and sportsbooks as the event approaches, though discrepancies can still occur due to differing market participants and information access.

This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team that wins the 4th quarter of the Stanford vs Notre Dame game will be declared the winner of this market. Resolution will be based on the official game results as reported by a trusted sports news source. The platform will verify the results and distribute payouts to contract holders accordingly. Traders should monitor official sources for the final score to understand when the market will be settled.

Several factors could influence the price of this market. Any significant news regarding player injuries, changes in coaching strategy, or unexpected weather conditions could all impact trader sentiment. A shift in public opinion, perhaps driven by expert analysis or social media buzz, could also cause price fluctuations. Late-breaking news about team morale or internal conflicts could also play a role. Furthermore, large volume trades on Kalshi itself can create short-term price movements as traders react to the activity.