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Michigan St. vs Wisconsin: Overtime
kalshi

What is the result of Michigan St. vs Wisconsin?

Volume:
$26

1+ overtime periods

 - Kalshi

1+ overtime periods - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Oct 3, 2026

Closed: Oct 3, 3:40 PM EST

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Outcome
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Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
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1+ overtime periods

View
0%
Yes 0¢No 100¢
—
N/A
$26
N/A
N/A
$26
Settled
No
Total markets: 1

Description

The scheduled match between two college football teams will determine whether the game extends beyond its regulation time. If additional periods are required to conclude the contest, it signifies that the game did not finish within the standard duration. This occurrence reflects the competitive nature and potential unpredictability of the sport.

Kalshi

If at least 1 overtime period is played in 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 odds for overtime occurring, the price history of contracts representing different overtime lengths, and the 24-hour trading volume. Currently, the total volume for this market is $26, with $26 traded in the last 24 hours. The dashboard provides a visual representation of how traders are pricing the probability of the game going to overtime, allowing users to monitor market sentiment and potential trading opportunities. It’s a dynamic view of expectations surrounding this particular college football matchup.

Prediction market odds often reflect the wisdom of the crowd, potentially differing from sportsbook odds which can be influenced by factors like house bias or initial public perception. Sportsbooks typically set lines to balance betting action and ensure profitability, while this market allows traders to freely express their beliefs about the likelihood of overtime in the Michigan State vs Wisconsin game. Discrepancies can arise due to differing information sources, analytical approaches, or simply variations in opinion among bettors and market participants. It's common to see prediction markets move more efficiently as new information becomes available.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the likelihood of overtime in the Michigan State vs Wisconsin game. The price of a contract reflects the market's collective assessment of that outcome's probability. As more traders buy contracts anticipating overtime, the price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth and trading activity indicate the level of conviction among participants, offering insights into the perceived value of each possible outcome. This dynamic pricing mechanism aims to converge towards a fair and accurate prediction.

This market resolves around Oct 3, 2026, with the outcome confirmed once the result of the Michigan State vs Wisconsin game is verifiable from credible public reporting. Resolution will depend on whether the game officially goes into overtime, and if so, how many overtime periods are played. The platform will then determine the winning contracts based on the final game result. Traders who correctly predicted the outcome will receive a payout based on the contract price at resolution, while those who predicted incorrectly will forfeit their investment. The final determination will be based on official game statistics.

Several factors could influence trading activity in this market before Oct 3, 2026. News regarding key player injuries for either the Michigan State or Wisconsin teams would likely have a significant impact. Changes in weather forecasts, particularly if severe weather is predicted, could also shift expectations. Late-breaking news about coaching strategies or team morale could also move the market. Finally, any significant shifts in public sentiment, as reflected in betting trends or expert analysis, could lead to increased volume and price fluctuations in this market.