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Duke vs Illinois: 1st Quarter Winner
kalshi

What is the result of Duke vs Illinois?

Volume:
$4,429

Illinois wins 1st Quarter

 - Kalshi

Illinois wins 1st Quarter - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 12, 2026

Closed: Sep 12, 4:25 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

Illinois wins 1st Quarter

View
100%
57%
Yes 100¢No 0¢
100¢
N/A
$2,672
N/A
N/A
$2,664
Settled
Yes
kalshi

Tie 1st Quarter

0%
10%
Yes 0¢No 100¢
100¢
N/A
$1,139
N/A
N/A
$1,131
Settled
No
kalshi

Duke wins 1st Quarter

0%
52%
Yes 0¢No 100¢
100¢
N/A
$619
N/A
N/A
$615
Settled
No
Total markets: 3

Description

The first quarter of a college football game between Duke and Illinois will determine the winner based on which team scores more points in that segment alone. If scores are equal, it counts as a tie outcome for the quarter.

Kalshi

If Illinois wins the 1st quarter of the Duke vs Illinois college football game originally scheduled for Sep 12, 2026, then the market resolves to Yes. If Duke wins the 1st quarter of the Duke vs Illinois college football game originally scheduled for Sep 12, 2026, then the market resolves to Yes. If neither team wins the 1st quarter of the Duke vs Illinois college football game originally scheduled for Sep 12, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Duke vs Illinois 1st quarter market displays the current price of each 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 $4,429, and the 24-hour volume, which is $4,415. This information helps traders understand market sentiment and identify potential trading opportunities related to this specific contest.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own analysis and aim to balance action on both sides, incorporating a profit margin. This market, however, is driven by individuals trading based on their own information and beliefs. As a result, you may find that the implied probability of an outcome in this market diverges from what sportsbooks are offering, potentially revealing different perspectives on the likely winner of the first quarter.

On Kalshi, this market is priced through a continuous order book, where traders buy and sell contracts representing each possible outcome. The price of each contract fluctuates based on supply and demand. As more people buy contracts for a particular team to win the first quarter, the price of that contract increases, and the implied probability of that outcome rises. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows the market to quickly incorporate new information and reflect the collective intelligence of the traders participating in this market.

This market resolves around Sep 12, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the market will settle based on which team is leading after the first quarter of the Duke vs Illinois basketball game. The official score at the end of the first quarter, as reported by a recognized sports data provider, will determine the winning outcome for this market. No further information regarding settlement is available.

Several factors could influence trading activity in this market. News regarding player injuries or changes to the starting lineups for either Duke or Illinois would likely have a significant impact. Unexpected announcements about coaching strategies or team morale could also shift sentiment. Furthermore, any major upsets in other college basketball games leading up to this contest might influence traders’ perceptions of team strength and willingness to take positions in this market. Public polling data or expert analyses, while not directly incorporated into the market, could also indirectly affect trading behavior.