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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Duke vs Virginia: 1st Quarter Winner
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What is the result of Duke vs Virginia?

Volume:
$42,035

Tie

 - Kalshi

Tie - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 23, 2026

Closed: Oct 23, 7:42 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

Tie

View
100%
Yes 100¢No 0¢
—
N/A
$16,576
N/A
N/A
$15,080
Settled
Yes
kalshi

Duke

0%
Yes 0¢No 100¢
—
N/A
$15,193
N/A
N/A
$9,690
Settled
No
kalshi

Virginia

0%
Yes 0¢No 100¢
—
N/A
$10,266
N/A
N/A
$5,561
Settled
No
Total markets: 3

Description

The market identifies which team will win the first quarter of the Duke vs Virginia college football game. The outcome depends solely on which team scores more points in this initial 15-minute segment of play.

Kalshi

If Virginia wins the 1st quarter of the Duke vs Virginia college football game originally scheduled for Oct 23, 2026, then the market resolves to Yes. If Duke wins the 1st quarter of the Duke vs Virginia college football game originally scheduled for Oct 23, 2026, then the market resolves to Yes. If neither team wins the 1st quarter of the Duke vs Virginia college football game originally scheduled for Oct 23, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Duke vs Virginia 1st quarter market displays the current price of each possible outcome – which team will win the first quarter. It also provides a price history chart, allowing you to see how the odds have shifted over time. You can view the total volume traded in this market, currently at $42,035, and the 24-hour volume, which is $39,185. This data helps traders understand market sentiment and identify potential trading opportunities related to the game's opening quarter.

Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines due to differing information and incentives. Sportsbooks set lines to balance action and ensure profit, while this market allows traders to express their own probabilities. If a significant amount of volume flows towards a particular outcome, the price will adjust accordingly, potentially moving further away from the initial sportsbook spread. It's common to see prediction markets react more quickly to new information, like injury reports, than traditional sportsbooks, as traders continuously update their assessments.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing each possible outcome. The price of a contract reflects the market’s probability of that outcome occurring; a higher price indicates a lower probability, and vice versa. 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 from correctly anticipating the event's outcome. This dynamic pricing mechanism ensures that the market price efficiently incorporates all available information, making it a valuable indicator of potential results.

This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the outcome will be determined by which team is officially declared the winner of the first quarter of the Duke vs Virginia basketball game. The official game results, as reported by a trusted sports data source, will serve as the basis for determining the winning outcome in this market. Traders will be able to see the resolution reflected in their account balances shortly after the official result is available.

Several factors could significantly impact this market. Any news regarding player injuries or starting lineup changes for either Duke or Virginia would likely cause price movement. Unexpected announcements about coaching strategies or team conditions could also influence trading activity. Furthermore, general shifts in public sentiment, perhaps driven by pre-game analysis or expert predictions, can also affect the market. Finally, large volume trades from informed participants could create short-term price fluctuations as traders react to new information or adjust their positions.