TOTAL VOLUME:

$134b

24H VOL:

$103,397,351

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,410,176,180

399,592

Markets across

30,097

events

MATCHED EVENTS:

2,622

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Minnesota vs New York
kalshi

Who will win Minnesota vs New York?

Volume:
$4,650,190

New York

 - Kalshi

New York - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 4, 2026

Closed: Jul 3, 9:49 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

New York

View
100%
Yes 100¢No 0¢
100¢
N/A
$2,093,034
N/A
N/A
$951,870
Settled
Yes
kalshi

Minnesota

0%
Yes 0¢No 100¢
100¢
N/A
$2,557,156
N/A
N/A
$1,468,505
Settled
No
Total markets: 2

Intro

This market tracks the outcome of the women's professional basketball game between Minnesota and New York scheduled for July 3, 2026. On Kalshi, New York is priced at 99.0% to win, while Minnesota stands at 1.0%. The market resolves according to the official result of the game as played on July 3, 2026, with settlement occurring on July 4, 2026. Watch for the final game result on July 3 to determine the market resolution.

Kalshi

If New York wins the Minnesota vs New York women's professional basketball game originally scheduled for Jul 3, 2026, then the market resolves to Yes. If Minnesota wins the Minnesota vs New York women's professional basketball game originally scheduled for Jul 3, 2026, then the market resolves to Yes.

Frequently asked questions

The dashboard on Kalshi tracks real-time prediction market odds and historical price movements for the Minnesota vs New York matchup. You can monitor how traders are pricing the outcome as new information emerges, view 24-hour volume activity, and observe shifts in implied probability. This live data reflects collective market sentiment and allows you to compare your own assessment against the crowd's consensus. The interface displays both current odds and a price history chart, helping you identify trends and volatility patterns leading up to the event.

Prediction market odds and sportsbook odds often diverge because they serve different purposes and attract different participant bases. Sportsbooks set odds to balance liability and generate profit margins, while prediction markets are driven by trader belief and real-money incentives to forecast accurately. This market's odds reflect what informed traders believe will happen, unconstrained by the vigorish or house edge typical of traditional sportsbooks. Many analysts find prediction market prices more efficient at capturing ground truth, especially when large volumes of capital are at stake and participants have strong incentives to price accurately.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell 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 implied probability that outcome will occur, ranging from $0 to $1. As new trades execute, prices adjust in real time based on supply and demand. Traders profit by correctly predicting the event and can exit positions before resolution. The transparent, decentralized pricing model means you see the exact cost to enter or exit any position at any moment.

This market resolves around Jul 4, 2026, at which point the outcome will be confirmed against credible public sources. Once the event concludes and the result is verifiable through established reporting channels, the market will settle automatically. Traders holding the correct outcome receive their payout, while incorrect positions expire worthless. The resolution process is designed to be objective and transparent, ensuring all participants can independently verify the final result before funds are distributed.

Key catalysts for this market include team roster changes, injury announcements, recent performance trends, and head-to-head historical records. Media coverage and expert analysis often influence trader sentiment, as do betting line movements from major sportsbooks. Weather conditions, home-field advantage factors, and late-breaking tactical adjustments can shift odds significantly in the final days. Trading volume typically spikes closer to the event date as more participants enter the market. Monitoring sports news, team statements, and social sentiment can help you anticipate price movements before the broader market reacts.