TOTAL VOLUME:

$154.4b

24H VOL:

$245,801,863

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,902,097,102

417,059

Markets across

40,178

events

MATCHED EVENTS:

4,415

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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

Volume:
$34,062,884

BYU

 - Kalshi

BYU - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 11:19 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

BYU

View
100%
78%
Yes 100¢No 0¢
—
N/A
$21,405,948
N/A
N/A
$9,025,611
Settled
Yes
kalshi

Notre Dame

0%
79%
Yes 0¢No 100¢
—
N/A
$12,656,935
N/A
N/A
$5,789,720
Settled
No
Total markets: 2

Intro

This market tracks whether BYU will win its college football game against Notre Dame. Currently, Kalshi gives BYU a 63.0% probability of winning, while Notre Dame is at 37.0%. The market will resolve based on the outcome of the Notre Dame vs BYU college football game originally scheduled for October 17, 2026, as reported by the game’s official results. Keep a close watch on October 17, 2026, as the result of this game will determine the market’s outcome.

Kalshi

Resolution is tied to the official outcome of the Notre Dame vs BYU college football game set for October 17, 2026. If postponed but played within 48 hours, the market remains open and resolves per the final result. If canceled or not started within 48 hours, the market resolves to a fair price. Kalshi disclaims any official ties to the NCAA, and all trademarks are property of their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the Notre Dame vs BYU 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 as traders buy and sell contracts. Currently, the total volume for this market is $34,062,884, with $28,775,319 traded in the last 24 hours. This provides a real-time view of where the crowd believes the outcome of the game will land, offering a dynamic perspective beyond traditional polls or analyses.

Typically, prediction market odds reflect a wisdom-of-the-crowd perspective, often incorporating information and analysis beyond what’s immediately priced into traditional sportsbook lines. While sportsbooks set initial odds based on statistical models and expert opinions, this market allows anyone to trade on their beliefs, potentially leading to a more accurate forecast as new information emerges. Discrepancies can arise due to differing risk appetites and the incentive structures of each venue; sportsbooks aim to profit from margins, while prediction markets allow participants to directly benefit from accurate predictions.

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 expectation of that outcome's probability. As more traders buy contracts for a particular outcome, the price increases, and the implied probability rises. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows for real-time adjustments based on the collective intelligence of the traders participating in the market, offering a unique perspective on the potential results of the game.

This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the final result of the Notre Dame vs BYU game, as officially reported by a trusted sports data source. The platform will verify the result against these sources to determine which outcome corresponds to the actual game result, and contracts will be settled accordingly. Traders will be able to see the resolution details on Kalshi following the game's conclusion.

Several factors could significantly impact this market before the game takes place. Any news regarding key player injuries on either Notre Dame or BYU would likely cause shifts in the odds. Changes in weather forecasts, particularly if severe weather is expected, could also influence trading activity. Unexpected coaching announcements or significant changes in team strategy could also move the market. Finally, public sentiment and any major news coverage surrounding the teams or the game itself could contribute to price fluctuations.