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Notre Dame vs North Carolina: 2nd Half Winner
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What is the result of Notre Dame vs North Carolina?

Volume:
$23,557

Notre Dame

 - Kalshi

Notre Dame - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 3, 2026

Closed: Oct 3, 3:25 PM 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

Notre Dame

View
100%
24%
Yes 100¢No 0¢
—
N/A
$12,304
N/A
N/A
$10,619
Settled
Yes
kalshi

North Carolina

0%
12%
Yes 0¢No 100¢
—
N/A
$7,328
N/A
N/A
$5,966
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$3,925
N/A
N/A
$909
Settled
No
Total markets: 3

Description

In the college football matchup between Notre Dame and North Carolina, analysts will focus on the teams' second-half strategies and adjustments. Coaches often make key changes after halftime that can dramatically shift the game's momentum. The outcome will depend on execution and adaptability in the final two quarters.

Kalshi

The market resolves based on which team wins the second half (including overtime) of the Notre Dame vs North Carolina college football game scheduled for Oct 3, 2026. Only points scored during the second half count. If the game is postponed but starts within 48 hours of the original time, the market remains open and resolves based on the official result. If the game does not start within 48 hours, the market resolves to a fair price. All outcomes—Notre Dame, North Carolina, or Tie—are evaluated under these conditions.

Frequently asked questions

On Kalshi, the dashboard for the Notre Dame vs North Carolina game tracks the current odds, price history, and 24-hour trading volume. You’ll find a visual representation of how traders are pricing the probability of each team winning the second half. Currently, the total volume for this market is $23,557, with $20,044 traded in the last 24 hours. This allows you to see how sentiment is shifting as new information becomes available and understand the market’s overall activity. The dashboard provides a real-time view of the collective predictions of participants.

Generally, prediction market odds tend to reflect a more accurate forecast than traditional sportsbook odds, as they aggregate the wisdom of the crowd. Sportsbooks often set initial lines to attract action, while this market is driven by individuals willing to put their capital behind their beliefs. However, discrepancies can exist, particularly early in the market’s life cycle. It’s common to see prediction markets adjust more quickly to new information, such as injury reports or changing weather conditions, than traditional sportsbooks. This can create opportunities for informed traders.

On Kalshi, this market is priced through a continuous auction mechanism where traders buy and sell contracts representing the probability of each outcome. The price of a contract directly corresponds to the implied probability of that outcome occurring. As more traders buy contracts for a particular team, the price increases, reflecting a higher perceived chance of victory. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth, displayed on the dashboard, shows the available contracts at different price points, indicating the level of demand and supply. This dynamic pricing ensures the market reflects the collective intelligence of all participants.

This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning team of the second half of the Notre Dame vs North Carolina game will determine the outcome. The platform will utilize official game results to determine the winner, ensuring a transparent and objective resolution process. Traders who correctly predicted the second-half winner will receive a payout based on the final market price at resolution. It’s essential to monitor the event’s progress leading up to the resolution date.

Several factors could influence the price of this market before resolution. Key player injuries or unexpected starting lineup changes for either Notre Dame or North Carolina would likely cause significant shifts in the odds. Game-day weather conditions, particularly if they favor one team’s playing style, could also be a catalyst. Major news regarding team morale, coaching decisions, or even significant pre-game analysis from respected sports commentators could also impact trader sentiment. Any information that alters the perceived probability of either team winning the second half has the potential to move the market.