TOTAL VOLUME:

$154.7b

24H VOL:

$279,496,801

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,923,931,766

416,910

Markets across

40,107

events

MATCHED EVENTS:

4,571

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Notre Dame vs Navy: 2nd Half Winner
kalshi

What is the result of Notre Dame vs Navy?

Volume:
$14,357

Notre Dame

 - Kalshi

Notre Dame - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 31, 2026

Closed: Oct 31, 3:15 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

Notre Dame

View
100%
Yes 100¢No 0¢
—
N/A
$1,267
N/A
N/A
$1,221
Settled
Yes
kalshi

Navy

0%
Yes 0¢No 100¢
—
N/A
$11,969
N/A
N/A
$11,799
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$1,121
N/A
N/A
$1,094
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in the second half of the Notre Dame vs Navy college football game scheduled for October 31, 2026. The outcome depends solely on the performance of each team after halftime, including any overtime periods.

Kalshi

If Navy wins the 2nd half (including overtime) of the Notre Dame vs Navy college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If Notre Dame wins the 2nd half (including overtime) of the Notre Dame vs Navy college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If neither team wins the 2nd half (including overtime) of the Notre Dame vs Navy college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Notre Dame vs Navy 2nd half market tracks the current price of contracts predicting which team will win the second half. You’ll find a price history chart visualizing how the perceived probability has shifted over time, along with the 24-hour trading volume, currently at $13,926. The total volume traded on this market is $13,926. This allows you to see how actively traders are participating and gauge the market's sentiment leading up to the game. The dashboard also displays the top outcome currently favored by traders.

Prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market represents the aggregated beliefs of individual traders. It’s common to see discrepancies between the two, especially early on, as prediction markets can incorporate information and adjust more quickly to news or changing sentiment. However, as the event approaches, the odds on Kalshi and sportsbook lines tend to converge, reflecting a shared understanding of the likely outcome.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing their belief about whether Notre Dame or Navy will win the second half. The price of a contract ranges from 0 to 100, representing the probability of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders buy into a particular outcome, its price increases, and vice versa. This dynamic pricing mechanism ensures that the market reflects the collective intelligence of all participants, providing a real-time assessment of the likelihood of each team winning the second half.

Several factors could influence the price movement of this market. Any news regarding key player injuries for either Notre Dame or Navy would likely have a significant impact. Changes in weather conditions, particularly if they favor one team's playing style, could also shift the odds. Unexpected announcements about coaching strategies or team morale might also affect trader sentiment. Furthermore, large volume trades on Kalshi itself can create short-term price fluctuations, as traders react to and anticipate further movements based on the available information.