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$134b

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$107,351,958

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2,388,728,490

OPEN INTEREST:

$1,416,970,024

400,720

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PLATFORM COVERAGE:

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New Mexico St. vs Hawai'i: Overtime
kalshi

What is the result of New Mexico St. vs Hawai'i?

Volume:
$2,935

1+ overtime periods

 - Kalshi

1+ overtime periods - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Sep 13, 2026

Closed: Sep 13, 3:34 AM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

1+ overtime periods

View
0%
Yes 0¢No 100¢
100¢
N/A
$2,935
N/A
N/A
$2,780
Settled
No
Total markets: 1

Description

The event centers on a college football game where an additional playing period may be required if the match remains tied after the regular time concludes. This extension allows teams an opportunity to determine a winner through continued competition. The occurrence of such an extension hinges on the game's progress and the performance of the participating teams.

Kalshi

If at least 1 overtime period is played in the New Mexico St. vs Hawai'i college football game originally scheduled for Sep 13, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the New Mexico St. vs Hawai'i game tracks the current odds, price history, and 24-hour trading volume. You’ll find a visual representation of how the market is pricing the likelihood of overtime occurring in this contest. Currently, the total volume traded on this market is $2,935, with $2,935 traded in the last 24 hours. This allows you to see how sentiment is shifting as new information becomes available and traders react to it. The dashboard provides a real-time view of market activity.

Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set their lines based on statistical models and expert analysis, while this market aggregates the views of many individuals. It’s common to see discrepancies, especially before significant events or when new information emerges. These differences can stem from varying levels of information access, differing interpretations of data, or simply the influence of public sentiment. Examining both sets of odds can provide a more comprehensive understanding of the potential outcome.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their belief about whether overtime will occur in the New Mexico St. vs Hawai'i game. The price of a contract reflects the probability of that outcome, with higher prices indicating a greater perceived chance. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to provide accurate predictions, as they profit if their beliefs align with the eventual result. This dynamic process creates a market-driven assessment of the game's potential for overtime, constantly adjusting as new information and opinions enter the system.

This market resolves around Sep 13, 2026, with the outcome confirmed once the result of the New Mexico St. vs Hawai'i game is verifiable from credible public reporting. Resolution will depend on whether the game officially goes into overtime according to the official game results. The platform will verify the final score against official sources to determine whether the market resolves in favor of overtime occurring or not. Traders will then be paid out or have their contracts settled based on the final outcome.

Several factors could influence the price of this market leading up to Sep 13, 2026. Any news regarding injuries to key players on either the New Mexico St. or Hawai'i teams would likely have a significant impact. Changes in weather conditions, particularly if they are expected to affect the game's style of play, could also shift the odds. Unexpected announcements about coaching strategies or team morale could also move the market. Finally, large trading volume from informed traders could signal a shift in sentiment and cause price fluctuations.