TOTAL VOLUME:

$134b

24H VOL:

$103,397,351

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,410,176,180

399,592

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30,097

events

MATCHED EVENTS:

2,622

PLATFORM COVERAGE:

5

Polymarket:

39%

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Minnesota vs Dallas
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Who will win Minnesota vs Dallas?

Volume:
$2,564,137

Minnesota

 - Kalshi

Minnesota - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 28, 2026

Closed: Jun 28, 4:29 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

Minnesota

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,269,394
N/A
N/A
$690,487
Settled
Yes
kalshi

Dallas

0%
Yes 0¢No 100¢
100¢
N/A
$1,294,743
N/A
N/A
$712,516
Settled
No
Total markets: 2

Intro

This market on Kalshi tracks which team will win the women's professional basketball game between Minnesota and Dallas. Minnesota is priced at 92.0% to win, while Dallas stands at 9.0%. The market resolves according to the official result of the matchup originally scheduled for June 28, 2026. Watch for the game's completion on June 28, 2026, which will determine the final resolution.

Kalshi

The Minnesota vs Dallas women's professional basketball game scheduled for June 28, 2026 will be evaluated to determine the winner. Each team has a corresponding market that resolves to Yes if that team wins the game. The resolution is based on the official final result of the game as originally scheduled for that date.

Frequently asked questions

The Kalshi dashboard for the Minnesota vs Dallas matchup displays real-time odds and historical price movements as traders position themselves on the outcome. You can monitor current market sentiment, 24-hour trading volume at $2,528,761, and cumulative liquidity across all positions. The interface shows how prediction market participants are pricing the event relative to kickoff, allowing you to track shifts in confidence as new information emerges. This live data helps you understand where the crowd stands on this matchup before game time.

Prediction markets and sportsbooks price events differently because they operate under distinct incentive structures. Sportsbooks set odds to balance action and lock in profit margins, while prediction markets reflect the aggregated beliefs of traders risking real capital. This market often reveals where informed traders diverge from traditional oddsmakers, particularly when sharp bettors spot value. Comparing this market's odds to major sportsbook lines can highlight discrepancies that reflect either market inefficiency or emerging information the books have not yet fully priced in.

On Kalshi, this market is priced through a continuous order-book mechanism where buyers and sellers post bids and offers on the outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price you see represents the last executed trade, and the spread between bid and ask reflects current liquidity and disagreement among traders. As new developments occur—injuries, weather, betting trends—the order book adjusts in real time. Traders profit or lose based on whether their positions move in their favor before the market resolves.

This market resolves around Jun 28, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result will reflect the final score and official game outcome as recorded by recognized sports authorities. Until that point, positions remain open and prices may fluctuate based on pre-game developments, betting action, and trader sentiment. Once the game concludes and the winner is established, the market will settle automatically.

Key injury announcements, roster changes, or weather updates can shift trader positioning significantly. Betting trends from major sportsbooks often influence prediction market prices as sharp money flows in. Team performance in recent games, coaching decisions, and public sentiment on social media may also trigger repricing. Breaking news about player availability or venue conditions typically causes the largest swings. Monitoring these catalysts helps you anticipate where this market might move before kickoff.