TOTAL VOLUME:

$154.5b

24H VOL:

$271,200,656

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,922,627,141

420,368

Markets across

40,352

events

MATCHED EVENTS:

4,484

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Utah vs Philadelphia
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Who will win Utah vs Philadelphia?

Volume:
$510,871

Philadelphia

 - Kalshi

Philadelphia - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Nov 1, 2026

Closed: Nov 1, 6:37 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

Philadelphia

View
100%
60%
Yes 100¢No 0¢
—
N/A
$220,399
N/A
N/A
$144,946
Settled
Yes
kalshi

Utah

0%
60%
Yes 0¢No 100¢
—
N/A
$290,472
N/A
N/A
$186,786
Settled
No
Total markets: 2

Description

This market tracks the outcome of an NHL hockey game between Utah and Philadelphia, focusing on which team secures a victory. The result depends solely on the final score of the contest as officially recorded. Any changes to the game's schedule or cancellation will affect how the market concludes.

Kalshi

The event determines the winner of the NHL game between Utah and Philadelphia scheduled for November 1, 2026. If Philadelphia wins, the Philadelphia market resolves to Yes, and the Utah market resolves to No. Conversely, if Utah wins, the Utah market resolves to Yes, and the Philadelphia market resolves to No. Should the game be postponed but commence within 48 hours of its original start time, both markets remain open and resolve based on the official result. If the game is cancelled or fails to start within this 48-hour window, all markets resolve to a fair price, ensuring equitable treatment for all participants.

Frequently asked questions

On Kalshi, the dashboard for the Utah vs Philadelphia game tracks the current odds, price history, and 24-hour trading volume. You can see how the perceived probability of different outcomes shifts over time, reflected in the price fluctuations. Currently, the total volume for this market is $464,692, with $454,142 traded in the last 24 hours. This provides a real-time view of where traders stand on the likely result of the game, offering insights beyond traditional polls or analyses.

Typically, prediction market odds offer a different perspective than those found at sportsbooks. Sportsbooks often incorporate a 'vig' or commission into their odds, which represents their profit margin. This market, driven by the collective predictions of traders, aims to reflect the true probability of an outcome, though discrepancies can occur due to differing information or risk appetites. It's common to see prediction markets move faster than sportsbooks in response to new information, as traders react quickly to developments affecting the game.

On Kalshi, this market is priced using a continuous double auction, meaning traders buy and sell contracts representing different outcomes. The price of a contract reflects the market's collective belief about the probability of that outcome occurring. As more traders participate, the price converges towards what the market considers a fair value. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Price movements are influenced by news, team performance, and even public sentiment, all factored in by the traders themselves.

This market resolves around Nov 2, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Utah vs Philadelphia game, as reported by official sources, will determine the winning contract. Traders who correctly predicted the outcome will receive a payout based on the final price of their contract at resolution. The resolution process ensures a transparent and objective determination of the market’s outcome.

Several factors could significantly impact this market. Any news regarding injuries to key players on either the Utah or Philadelphia teams would likely cause price fluctuations. Changes in team performance, coaching decisions, or even weather forecasts could also influence trader sentiment. Unexpected announcements about player availability or strategic shifts could lead to rapid adjustments in the odds, as traders reassess the probabilities of different outcomes. Major upsets in other games involving these teams could also have a ripple effect.