TOTAL VOLUME:

$154.6b

24H VOL:

$333,432,169

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,971,286,090

419,492

Markets across

40,634

events

MATCHED EVENTS:

4,654

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Notre Dame vs BYU: 1st Quarter Winner
kalshi

What is the result of Notre Dame vs BYU?

Volume:
$50,328

BYU

 - Kalshi

BYU - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 8:23 PM EST

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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%
Yes 100¢No 0¢
—
N/A
$21,222
N/A
N/A
$14,560
Settled
Yes
kalshi

Notre Dame

0%
Yes 0¢No 100¢
—
N/A
$14,642
N/A
N/A
$9,702
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$14,464
N/A
N/A
$11,959
Settled
No
Total markets: 3

Description

This market focuses on predicting which team will score more points in the first quarter of an upcoming college football game between Notre Dame and BYU. It reflects the competitive dynamics of the early game stages, where momentum and strategy can significantly influence the outcome.

Kalshi

If BYU wins the 1st quarter of the Notre Dame vs BYU college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. If Notre Dame wins the 1st quarter of the Notre Dame vs BYU college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. If neither team wins the 1st quarter of the Notre Dame vs BYU college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Notre Dame vs BYU game tracks the current odds of each team winning the first quarter, along with a visual price history showing how those odds have changed over time. You’ll also find the 24-hour trading volume, currently at $45,308, and the total volume traded to date, which is $50,328. This allows you to gauge market sentiment and see how actively traders are participating in this particular market. The dashboard provides a real-time view of where the crowd believes the most likely outcome lies.

Typically, prediction market odds reflect the wisdom of the crowd, often aligning with but sometimes diverging from traditional sportsbook lines. Sportsbooks set initial odds based on statistical models and expert analysis, while this market allows anyone to trade on their beliefs, potentially revealing information not captured by conventional methods. If there’s a significant discrepancy, it could indicate that the market participants have access to, or place more weight on, different information than the sportsbooks. It’s a fascinating comparison to observe, as both represent probabilities of the same event occurring.

On Kalshi, this market is priced through a continuous order book, where traders buy and sell contracts representing the probability of each outcome. The price of a contract reflects the market’s collective belief about the likelihood of that outcome. As more traders participate, the price fluctuates, providing a dynamic assessment of the potential winner of the first quarter. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price movements are driven by supply and demand; if many traders believe Notre Dame will win, they’ll buy Notre Dame contracts, driving up the price and indicating a higher perceived probability.

This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the official result of who won the first quarter of the Notre Dame vs BYU game will be used to determine the winning contract. The resolution will be based on the official game statistics and records available from reputable sports news sources. Traders holding the winning contract will receive a payout based on the final market price at resolution, while those holding losing contracts will forfeit their investment.

Several factors could influence the price of this market. Any news regarding injuries to key players on either the Notre Dame or BYU teams would likely cause significant movement. Changes in weather forecasts, particularly if they suggest conditions favoring one team’s playing style, could also impact trading activity. Furthermore, late-breaking news about team morale, coaching decisions, or even unexpected pre-game analysis from prominent sports commentators could all contribute to shifts in market sentiment and, consequently, the prices within this market.