TOTAL VOLUME:

$134b

24H VOL:

$87,997,338

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,395,155,069

395,664

Markets across

30,076

events

MATCHED EVENTS:

2,626

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Sports
New York vs Las Vegas
kalshi

New York vs Las Vegas

Volume:
$5,165,292

New York

 - Kalshi

New York - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 24, 2026

Closed: Jun 24, 12:09 AM 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

New York

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,923,756
N/A
N/A
$1,019,588
Settled
Yes
kalshi

Las Vegas

0%
Yes 0¢No 100¢
100¢
N/A
$3,241,536
N/A
N/A
$1,976,553
Settled
No
Total markets: 2

Intro

This market tracks which team will win the women's professional basketball matchup between New York and Las Vegas. On Kalshi, New York is priced at 73.0% to win, while Las Vegas stands at 28.0%. The market resolves according to the official result of the game originally scheduled for June 23, 2026. Watch for the final outcome on June 23, 2026, when the game is played and the winner is determined.

Kalshi

If Las Vegas wins the New York vs Las Vegas women's professional basketball game originally scheduled for Jun 23, 2026, then the market resolves to Yes. If New York wins the New York vs Las Vegas women's professional basketball game originally scheduled for Jun 23, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the New York vs Las Vegas matchup displays real-time odds and price movements as traders buy and sell shares tied to the event outcome. You can monitor the current implied probability, 24-hour trading volume, and historical price charts to see how market sentiment has shifted. This view helps you understand which outcome traders favor and how conviction has changed leading up to the game, giving you a snapshot of collective prediction market positioning on this matchup.

Prediction market odds and sportsbook odds often diverge because they reflect different incentive structures. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets are driven by trader belief and real-money skin in the game. This market aggregates the views of many independent traders without a built-in margin, potentially offering a purer signal of true probability. Comparing this market's implied odds to major sportsbook lines can reveal where public perception and trader conviction align or differ most sharply.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares representing each outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each share reflects the marginal probability traders assign to that result, ranging from $0 to $1. As new information emerges or sentiment shifts, traders adjust their orders, and the price updates in real time. This dynamic pricing model ensures the market stays responsive to breaking news and changing expectations about the matchup.

This market resolves around Jun 24, 2026, once the event concludes and the result is verifiable from credible public sources. The outcome will be confirmed based on the final score and official game records. Until that point, traders can continue to buy and sell shares as new developments unfold. Resolution is automatic once the event is complete and the winning outcome is clear, at which point shares representing the correct result pay out in full.

Key catalysts include injury reports, lineup announcements, recent team performance trends, and head-to-head historical matchups. Breaking news about player availability or coaching decisions often triggers sharp price moves as traders reassess win probability. Public betting patterns and media narratives can also shift sentiment. As game day approaches, final roster confirmations and pregame conditions—such as weather or venue factors—may prompt last-minute repricing. Monitoring these signals helps traders anticipate where this market may shift before the opening tip.