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$1,869,293,526

411,051

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4,377

PLATFORM COVERAGE:

5

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Wisconsin vs UCLA: 1st Quarter Winner
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What is the result of Wisconsin vs UCLA?

Volume:
$12,666

UCLA

 - Kalshi

UCLA - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 8:08 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

UCLA

View
100%
Yes 100¢No 0¢
—
N/A
$5,276
N/A
N/A
$5,135
Settled
Yes
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$5,626
N/A
N/A
$5,608
Settled
No
kalshi

Wisconsin

0%
Yes 0¢No 100¢
—
N/A
$1,764
N/A
N/A
$1,718
Settled
No
Total markets: 3

Description

This market tracks which team will lead after the first quarter of a college football game between Wisconsin and UCLA. It focuses solely on the performance in the initial 15 minutes of play, ignoring the rest of the game. The outcome depends on whether UCLA, Wisconsin, or neither team (tie) scores more points in that specific period.

Kalshi

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

Frequently asked questions

On Kalshi, the dashboard for the Wisconsin vs UCLA 1st quarter market displays the current price of each possible outcome – which team will win the first quarter. You can also view the 24-hour trading volume, which is currently $11,707, as well as the total volume traded to date, at $12,666. The dashboard provides a historical price chart, allowing you to analyze how the market has moved over time and understand trader sentiment. This information helps you assess the probabilities implied by the market and make informed predictions.

Generally, prediction market odds tend to reflect a more accurate forecast of events than traditional sportsbook odds, as they aggregate the wisdom of many traders. Sportsbooks establish lines to balance betting action and ensure profit, while this market relies on individuals predicting the outcome. However, sportsbook odds can initially move the market, especially before significant volume is traded. Discrepancies can arise due to differing information sources, risk assessments, and the incentives of each type of market participant. It’s common to see this market converge towards a more accurate probability as more information becomes available and trading volume increases.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing each possible outcome – in this case, either Wisconsin or UCLA winning the first quarter. The price of a contract represents the probability of that outcome occurring, as perceived by the market participants. As more traders buy a contract, its price increases, reflecting a higher perceived probability. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market price dynamically adjusts based on supply and demand, creating a real-time assessment of the likelihood of each team winning the first quarter.

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 which team is officially declared the winner of the first quarter by the official game statistics. Any adjustments or official rulings made after the initial determination will be considered in the resolution process. The official result will be used to determine which contracts will pay out and at what value, based on the final score and the market’s pricing at the time of resolution.

Several factors could influence this market before resolution. News regarding key player injuries or unexpected starting lineup changes for either Wisconsin or UCLA would likely cause significant movement. Pre-game analysis from sports analysts, while not directly impacting the market, can influence trader sentiment. Live game developments, such as early scoring drives or turnovers, could also cause rapid shifts in the market price, especially if they suggest a clear advantage for one team. Overall, any information that alters perceptions of each team’s chances of winning the first quarter could move this market.