TOTAL VOLUME:

$154.3b

24H VOL:

$228,458,490

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,879,276,037

410,833

Markets across

40,345

events

MATCHED EVENTS:

4,363

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Idaho vs Montana
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What is the result of Idaho vs Montana?

Volume:
$1,436,154

Idaho

 - Kalshi

Idaho - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 6:30 PM EST

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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

Idaho

View
100%
Yes 100¢No 0¢
—
N/A
$885,860
N/A
N/A
$373,056
Settled
Yes
kalshi

Montana

0%
88%
Yes 0¢No 100¢
—
N/A
$550,294
N/A
N/A
$257,458
Settled
No
Total markets: 2

Intro

This market tracks whether Idaho will win its college football game against Montana. Currently, Kalshi gives Idaho a 78.0% probability of winning, while Montana is at 22.0%. The market resolves based on the outcome of the Idaho vs Montana college football game originally scheduled for October 17, 2026, as reported by the game’s official result. Keep a close eye on the game itself on October 17, 2026, as the final score will determine the market’s resolution.

Kalshi

The market resolves to Yes if either Idaho or Montana wins the college football game scheduled for October 17, 2026. If the game is postponed but begins within 48 hours of its originally scheduled start time, the market will remain open and resolve based on the official final result. If the game is cancelled or not started within 48 hours of its originally scheduled start, the market will resolve to a fair price.

Frequently asked questions

On Kalshi, the dashboard for the Idaho vs Montana game tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probability of different outcomes shifts over time, reflecting the collective predictions of traders. Currently, the total volume for this market is $1,436,154, with $1,169,107 traded in the last 24 hours. This provides a real-time view of market sentiment regarding the outcome of this sporting event, allowing you to assess where the crowd stands.

Typically, prediction market odds offer a different perspective than traditional sportsbook odds. Sportsbooks often set lines to balance action and incorporate a profit margin, while this market reflects the aggregated predictions of informed traders. This can lead to discrepancies, as the 'wisdom of the crowd' may identify different probabilities than those initially set by bookmakers. It’s common to see prediction markets move more efficiently based on new information and analysis, potentially offering value for those who can interpret the signals.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of each contract reflects the market’s current assessment of the probability of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information becomes available, the prices adjust dynamically, creating a real-time forecast. The platform uses a margin system, and traders must deposit collateral to cover potential losses, ensuring the market remains solvent and functional.

This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Idaho vs Montana game, as reported by official sources, will determine the winning contract. The platform relies on publicly available data to establish the definitive outcome, ensuring a transparent and objective resolution process. Traders holding the winning contract will receive a payout based on the final market price at resolution.

Several factors could influence the price movement of this market. Any news regarding injuries to key players on either the Idaho or Montana teams would likely have a significant impact. Changes in coaching strategies, weather forecasts for game day, or even significant shifts in public perception based on pre-game analysis could all contribute to price fluctuations. Unexpected announcements about player availability or team performance would also be key catalysts for movement in this market.