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New York vs Minnesota: Overtime
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What is the result of New York vs Minnesota?

Volume:
$3,575

1+ overtime periods

 - Kalshi

1+ overtime periods - Kalshi

1W

News

Positive

Negative

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Vol.

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Resolved Sep 19, 2026

Closed: Sep 18, 9:37 PM EST

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Outcome
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Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
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1+ overtime periods

View
0%
Yes 0¢No 100¢
100¢
N/A
$3,575
N/A
N/A
$2,560
Settled
No
Total markets: 1

Description

This market focuses on whether the New York vs Minnesota women's Pro Basketball game scheduled for September 18, 2026, will go into overtime. Overtime occurs when the game is tied at the end of regulation time, leading to additional periods to determine a winner. The outcome depends on the game's final score and whether it necessitates extra time to resolve.

Kalshi

If there is at least 1 overtime period in the New York vs Minnesota women's Pro Basketball game originally scheduled for Sep 18, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the New York vs Minnesota game tracks the current odds, price history, and 24-hour trading volume. Currently, volume is $3,231 and total volume for this market is $3,575. You can see how the perceived probability of overtime in this game fluctuates in real-time as traders buy and sell contracts. The dashboard provides a visual representation of market sentiment, allowing you to quickly assess where the crowd stands on the likelihood of an overtime period. This information is updated continuously, reflecting the latest trading activity.

Prediction market odds often reflect the wisdom of the crowd, and can differ from traditional sportsbook odds due to varying information sources and incentives. Sportsbooks set lines to balance action and ensure profit, while this market allows participants to directly express their beliefs about the outcome. It’s common to see discrepancies, particularly before significant events or when new information emerges. Analyzing these differences can provide insights into public perception and potential value opportunities, but remember that both represent probabilities based on different methodologies. Comparing them can be a useful exercise for informed decision-making.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of overtime in the New York vs Minnesota game. The price of a contract ranges from 0 to 100, representing the implied probability of the event occurring. As more people buy contracts, the price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows the market to quickly incorporate new information and reflect the collective beliefs of all participants. The current price reflects the aggregated assessment of all traders on Kalshi.

This market resolves around Sep 19, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will depend on whether the New York vs Minnesota game goes into overtime. Official game results from recognized sports authorities will be used to determine the final outcome. The market will then settle based on whether overtime occurred, with contracts paying out $1.00 for those who predicted overtime and $0.00 for those who did not. The resolution process is designed to be transparent and based on objective, publicly available data.

Several factors could influence the price of this market. Any news regarding injuries to key players on either the New York or Minnesota teams would likely have a significant impact. Changes in weather conditions, particularly if they could affect the style of play, could also shift the market. Unexpected announcements about team strategies or coaching decisions might also cause price fluctuations. Furthermore, large trading volume from informed participants could signal new information or a shift in sentiment, leading to price movement. Monitoring these signals can help you understand the evolving probabilities reflected in this market.