TOTAL VOLUME:

$154.5b

24H VOL:

$271,200,656

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,922,627,141

420,368

Markets across

40,352

events

MATCHED EVENTS:

4,484

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Niagara vs Notre Dame
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What is the result of Niagara vs Notre Dame?

Volume:
$299

Notre Dame

 - Kalshi

Notre Dame - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 9, 2026

Closed: Oct 9, 10:09 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

Notre Dame

View
100%
Yes 100¢No 0¢
—
N/A
$297
N/A
N/A
$274
Settled
Yes
kalshi

Niagara

0%
Yes 0¢No 100¢
—
N/A
$2
N/A
N/A
$2
Settled
No
Total markets: 2

Description

This market covers the result of a men's college hockey game between Niagara and Notre Dame, set for October 9, 2026. The outcome depends on which team secures the victory in the match.

Kalshi

The market resolves based on the official result of the Niagara vs Notre Dame men's college hockey game scheduled for October 9, 2026. If Niagara wins, the market for Niagara resolves to Yes; if Notre Dame wins, the market for Notre Dame resolves to Yes. In the event of a tie, all markets resolve to 50/50. 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, all markets will resolve to a fair price.

Frequently asked questions

On Kalshi, the dashboard for the Niagara vs Notre Dame game tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probability of different outcomes shifts in real time as traders buy and sell contracts. Currently, the 24-hour volume is $299 and the total volume is $299. This allows you to gauge market sentiment and identify potential trading opportunities related to this matchup. The dashboard provides a clear visualization of how the market is valuing each possible result.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines to balance action, while this market is driven by individuals willing to put their capital behind their beliefs. If a significant number of people believe a particular outcome is more likely than sportsbooks suggest, the price will move accordingly. It's common to see discrepancies, especially before a lot of money has been traded on this market. These differences can present opportunities for informed traders.

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 probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and express their views, the prices adjust to reflect the collective assessment. The market depth and spread can indicate the level of confidence traders have in a particular outcome. This dynamic pricing mechanism aims to provide a real-time estimate of event probabilities.

This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Niagara vs Notre Dame game, as reported by a trusted sports data source. Traders who correctly predicted the outcome will receive a payout based on the final market price at resolution. It’s important to monitor news sources leading up to this date to stay informed about any potential factors that could influence the game’s result and, consequently, this market.

Several factors could significantly impact this market. Any news regarding injuries to key players on either the Niagara or Notre Dame teams would likely cause price fluctuations. Changes in coaching strategies, weather forecasts for the game day, or even significant shifts in public perception based on pre-game analysis could all influence trading activity. Unexpected announcements about player availability or team dynamics are also potential catalysts. Monitoring sports news and social media sentiment can provide valuable insights into these potential market movers.