TOTAL VOLUME:

$154.8b

24H VOL:

$277,138,640

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,905,404,943

412,077

Markets across

39,838

events

MATCHED EVENTS:

4,526

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

BETA
Dashboards
Tour
All
Sports
Miami (FL) vs North Carolina: 1st Quarter Winner
kalshi

What is the result of Miami (FL) vs North Carolina?

Volume:
$24,711

Miami (FL)

 - Kalshi

Miami (FL) - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 31, 2026

Closed: Oct 31, 8:21 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

Miami (FL)

View
100%
Yes 100¢No 0¢
—
N/A
$17,353
N/A
N/A
$10,297
Settled
Yes
kalshi

North Carolina

0%
27%
Yes 0¢No 100¢
—
N/A
$5,946
N/A
N/A
$4,234
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$1,412
N/A
N/A
$1,379
Settled
No
Total markets: 3

Description

This market focuses on predicting which team will lead after the first quarter of a college football game between Miami (FL) and North Carolina. It tracks the real-time competitive performance of both teams in the early stages of the match, reflecting their strategic starts and initial momentum.

Kalshi

The market resolves based on which team scores more points in the first quarter of the designated game. If the game starts within 48 hours of its scheduled time, the result will be determined by the official score at the end of the first quarter. If the game is postponed beyond this window, the market will settle at a fair price. All outcomes—North Carolina win, Miami (FL) win, or a tie in the first quarter—are evaluated using the same timing and fairness principles.

Frequently asked questions

On Kalshi, the dashboard for the Miami vs North Carolina game tracks the current odds for each team to win the first quarter, along with the total volume traded in this market, which is currently $9,320. You can also view the 24-hour volume, currently at $8,435, and a price history chart showing how the probabilities have shifted over time. This allows you to see how other traders are assessing the likelihood of each outcome and gauge market sentiment before the event begins. The dashboard provides a real-time view of the collective prediction.

Generally, prediction market odds tend to reflect the wisdom of the crowd, often proving more accurate than traditional sportsbook odds, especially as the event approaches. Sportsbooks initially set lines based on their own analysis, but this market allows for continuous adjustment based on a wider range of information and opinions. While sportsbooks may incorporate public sentiment, prediction markets directly *are* public sentiment, expressed through actual trading. However, differences can arise due to factors like differing risk appetites and the incentives of each venue. It’s common to see this market and sportsbook lines converge closer to game time.

This market resolves around Nov 1, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the official result of which team won the first quarter of the Miami vs North Carolina game will be used to determine the winning contract. The platform will verify the result against official sources to ensure accuracy and transparency. The winning outcome will then be used to settle all outstanding contracts in this market, and traders will receive or pay out funds based on their positions.

Several factors could significantly impact this market. Any news regarding player injuries or changes to the starting lineups for either Miami or North Carolina would likely cause price movement. Unexpected weather conditions or even pre-game analysis from prominent sports analysts could also influence trader behavior. Public perception, as reflected in polls or social media sentiment, can also play a role, though to a lesser extent than concrete information. Major shifts in betting patterns at sportsbooks could also be a signal, as traders often react to information from multiple sources.