TOTAL VOLUME:

$134.2b

24H VOL:

$130,522,377

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,438,389,636

404,028

Markets across

30,214

events

MATCHED EVENTS:

2,681

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Florida vs Carolina
kalshi

Who will win Florida vs Carolina?

Volume:
$222,673

Carolina

 - Kalshi

Carolina - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 23, 2026

Closed: Sep 22, 10:15 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

Carolina

View
100%
55%
Yes 100¢No 0¢
100¢
N/A
$115,274
N/A
N/A
$87,841
Settled
Yes
kalshi

Florida

0%
61%
Yes 0¢No 100¢
100¢
N/A
$107,400
N/A
N/A
$94,677
Settled
No
Total markets: 2

Description

This market tracks the outcome of an NHL hockey game between Florida and Carolina, focusing on which team secures a victory. A tie results in a shared outcome, while specific procedures handle scenarios like game postponements or cancellations to ensure a fair resolution.

Kalshi

The event determines the winner of the NHL game between Florida and Carolina scheduled for September 22, 2026. If Carolina wins, its corresponding market resolves to Yes; if Florida wins, its market resolves to Yes. In the event of a tie, all markets resolve at 50c. Postponements that commence within 48 hours of the original schedule keep markets open for resolution based on the final result. If the game is cancelled or fails to start within 48 hours of the scheduled time, all markets resolve to a fair price, ensuring equitable treatment for all participants under varying game conditions.

Frequently asked questions

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines to balance action, while this market allows traders to freely adjust probabilities based on their own analysis and information. Discrepancies can arise due to differing opinions on team performance, injuries, or other factors influencing the game. It’s common to see this market incorporate information more quickly than sportsbooks, especially regarding late-breaking news. Comparing the two can offer a broader perspective on the likely outcome of the Florida vs Carolina game.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes of the Florida vs Carolina game. The price of each contract reflects the market's current assessment of its probability. 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 they profit from correctly anticipating the outcome. As more traders participate and new information becomes available, the prices adjust, converging towards what the market believes is the true probability of each result. This dynamic pricing mechanism ensures that the market reflects the collective intelligence of its participants.

This market resolves around Sep 23, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Florida vs Carolina game, as reported by a widely recognized sports data provider. The market will determine which outcome – a Florida win, a Carolina win – is the winning contract. All outstanding contracts will then be settled accordingly, with payouts based on the final price of the winning contract at the time of resolution.

Several factors could significantly impact this market before the game takes place. Any news regarding key player injuries on either the Florida or Carolina teams would likely cause price fluctuations. Major changes in coaching strategies or unexpected weather forecasts could also influence trader sentiment. Furthermore, significant betting activity or large volume trades on Kalshi could indicate shifts in market opinion. Public perception, as reflected in polls or expert analysis, may also contribute to price movements, as traders react to new information and adjust their predictions accordingly.