TOTAL VOLUME:

$134.2b

24H VOL:

$126,324,530

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,434,646,834

406,019

Markets across

30,401

events

MATCHED EVENTS:

2,689

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Sports
North Carolina vs Clemson: Overtime
kalshi

What is the result of North Carolina vs Clemson?

Volume:
$14,286

1+ overtime periods

 - Kalshi

1+ overtime periods - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 19, 2026

Closed: Sep 19, 6:00 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

1+ overtime periods

View
0%
3%
Yes 0¢No 100¢
100¢
N/A
$14,286
N/A
N/A
$9,185
Settled
No
Total markets: 1

Description

The North Carolina versus Clemson college football matchup may go into overtime if the teams are tied at the end of regulation. Overtime periods involve extra play after the standard game time to determine a clear winner through subsequent rounds of competition.

Kalshi

If at least 1 overtime period is played in the North Carolina vs Clemson college football game originally scheduled for Sep 19, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the North Carolina vs Clemson game tracks the current odds for overtime occurring, along with a price history chart illustrating how those odds have changed over time. You’ll also find the 24-hour trading volume, currently at $13,529, and the total overall volume traded in this market, which stands at $14,286. This allows participants to gauge market sentiment and trading activity related to whether the game will extend beyond regulation time. The top outcome currently favored by traders is 1+ overtime periods.

Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbook odds are typically set by a small team of experts, while this market aggregates insights from many individuals. It’s common to see discrepancies between the two, as each relies on different information and analytical approaches. Examining both can provide a more comprehensive understanding of the perceived probabilities surrounding the North Carolina vs Clemson game and the likelihood of overtime.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of overtime in the North Carolina vs Clemson game. The price of a contract ranges from 0 to 100, representing a percentage chance of the event occurring. As more people buy contracts, the price increases, indicating growing belief in overtime. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to provide accurate predictions, as their profits depend on correctly anticipating the outcome of the game. The current top market is 1+ overtime periods.

This market resolves around Sep 19, 2026, with the outcome confirmed once the final result of the North Carolina vs Clemson game is verifiable from credible public reporting. Resolution will depend on whether the game officially goes into overtime, as determined by the official game statistics and records. The market will then settle based on whether overtime occurred, with payouts determined by the final price of the contracts at the time of resolution. Traders will be able to view the confirmed outcome and settlement details on Kalshi.

Several factors could influence the price of this market leading up to Sep 19, 2026. Any news regarding key player injuries for either the North Carolina or Clemson teams would likely have a significant impact. Changes in weather forecasts, particularly if severe weather is predicted, could also shift expectations. Furthermore, updates on team strategies or coaching decisions, as well as any late-breaking news related to team morale or internal conflicts, could all contribute to price movements within this market. Public sentiment and analyst predictions might also play a role.