TOTAL VOLUME:

$154.3b

24H VOL:

$228,458,490

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,879,276,037

410,833

Markets across

40,345

events

MATCHED EVENTS:

4,363

PLATFORM COVERAGE:

5

Polymarket:

37%

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Kalshi:

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Indiana vs Michigan: 3rd Quarter Winner
kalshi

What is the result of Indiana vs Michigan?

Volume:
$31,424

Michigan

 - Kalshi

Michigan - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 2:39 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

Michigan

View
100%
Yes 100¢No 0¢
—
N/A
$9,649
N/A
N/A
$5,798
Settled
Yes
kalshi

Indiana

0%
Yes 0¢No 100¢
—
N/A
$12,971
N/A
N/A
$11,413
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$8,804
N/A
N/A
$5,695
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in a specific quarter of an upcoming college football game between Indiana and Michigan. The outcome depends solely on the performance during the third quarter, regardless of the overall game result.

Kalshi

If Michigan wins the 3rd quarter of the Indiana vs Michigan college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If Indiana wins the 3rd quarter of the Indiana vs Michigan college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If neither team wins the 3rd quarter of the Indiana vs Michigan college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Indiana vs Michigan 3rd quarter market tracks the current price of contracts representing each possible outcome – which team will win the third quarter. You’ll find a price history chart showing how those prices have fluctuated over time, giving insight into how traders are assessing the probabilities. The dashboard also displays the 24-hour trading volume, currently at $22,877, and the total overall volume traded in this market, which is $31,424. This allows you to gauge the level of interest and activity surrounding this particular contest.

Prediction market odds often reflect the wisdom of the crowd, and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and to balance action, while this market’s prices are driven by individuals trading based on their own information and beliefs. If a significant number of traders believe a sportsbook is mispricing a team’s chances, they can express that view by buying or selling contracts here, potentially leading to a divergence in probabilities. It's common to see prediction markets move faster to incorporate new information than sportsbooks.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing each outcome. The price of a contract reflects the probability of that outcome occurring, as perceived by the market participants. As more people buy contracts for a particular team, the price increases, and the implied probability of that team winning the third quarter rises. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market dynamically adjusts to new information and changing sentiment, providing a real-time assessment of the likely winner.

This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the market will settle based on which team has the higher score at the end of the third quarter of the Indiana vs Michigan game. The final score will be sourced from official game statistics and verified against credible public sources. The platform will then determine the winning contract and process payouts accordingly, based on the final result.

Several factors could influence the price movement of this market. Any news regarding injuries to key players on either the Indiana or Michigan teams would likely have a significant impact. Changes in team performance during the game, such as a dominant first half by one team, could also shift the probabilities. Unexpected weather conditions, if they affect the game, could also be a catalyst. Finally, large volume trades from informed participants could signal a shift in sentiment and move the market prices.