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2,984,028,936

OPEN INTEREST:

$1,902,097,102

417,059

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MATCHED EVENTS:

4,415

PLATFORM COVERAGE:

5

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Michigan St. vs Wisconsin: 1st Half Winner
kalshi

What is the result of Michigan St. vs Wisconsin?

Volume:
$6,469

Wisconsin wins 1st Half

 - Kalshi

Wisconsin wins 1st Half - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 3, 2026

Closed: Oct 3, 1:59 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

Wisconsin wins 1st Half

View
100%
34%
Yes 100¢No 0¢
—
N/A
$2,544
N/A
N/A
$2,127
Settled
Yes
kalshi

Michigan St. wins 1st Half

0%
26%
Yes 0¢No 100¢
—
N/A
$2,613
N/A
N/A
$2,237
Settled
No
kalshi

Tie 1st Half

0%
Yes 0¢No 100¢
—
N/A
$1,313
N/A
N/A
$840
Settled
No
Total markets: 3

Description

This market tracks the outcome of the first half of a college football game between Michigan State and Wisconsin. It focuses solely on which team leads at halftime, ignoring the final game result. The market accounts for potential game postponements within a defined window.

Kalshi

If Wisconsin wins the 1st half of the Michigan St. vs Wisconsin college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If Michigan St. wins the 1st half of the Michigan St. vs Wisconsin college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes. If neither team wins the 1st half of the Michigan St. vs Wisconsin college football game originally scheduled for Oct 3, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Michigan State vs Wisconsin game tracks the current price of a share representing a 'yes' vote on Michigan State winning the first half, as well as the 24-hour trading volume. You can also view the price history to see how the market has fluctuated over time. Currently, the total volume for this market is $6,469, with $6,389 traded in the last 24 hours. This allows users to gauge the collective prediction of other traders regarding the first-half winner.

Prediction market odds often reflect the wisdom of the crowd, potentially differing from initial sportsbook lines which may be influenced by factors like public perception or sharp action. Sportsbooks set their lines to balance betting action and ensure profitability, while this market represents what traders believe will actually happen. Discrepancies can arise due to differing information or analytical approaches. It’s common to see prediction markets move independently of sportsbook odds as new information becomes available, offering a unique perspective on the likely outcome of the Michigan State vs Wisconsin game.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their belief about the outcome. The price of a contract ranges from 0 to 100, representing the probability of the event occurring. A price of 50 indicates a 50% probability. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders adjust these prices based on their own analysis and information, creating a dynamic market that reflects the collective prediction. The current price reflects the aggregated assessment of all participants on Kalshi regarding which team will win the first half.

This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on which team is leading at the end of the first half of the Michigan State vs Wisconsin game. Official game results will be used to determine the winner. The platform will verify the result against official sources to ensure accuracy and transparency, finalizing the outcome for all traders participating in this market.

Several factors could influence the price of this market before resolution. Any news regarding key player injuries or suspensions for either Michigan State or Wisconsin would likely cause significant movement. Changes in team performance during recent games, coaching decisions, or even weather forecasts could also impact trader sentiment. Unexpected announcements related to team strategy or player availability could also shift the market. Public perception and media coverage leading up to the game can also contribute to price fluctuations in this market.