TOTAL VOLUME:

$154.4b

24H VOL:

$230,589,906

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,885,293,300

410,482

Markets across

40,213

events

MATCHED EVENTS:

4,340

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Indiana vs Michigan: 1st Quarter Winner
kalshi

What is the result of Indiana vs Michigan?

Volume:
$36,233

Indiana

 - Kalshi

Indiana - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 12:52 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

Indiana

View
100%
Yes 100¢No 0¢
—
N/A
$14,052
N/A
N/A
$8,113
Settled
Yes
kalshi

Michigan

0%
Yes 0¢No 100¢
—
N/A
$12,291
N/A
N/A
$10,117
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$9,890
N/A
N/A
$9,480
Settled
No
Total markets: 3

Description

This market focuses on predicting which team will lead after the first quarter of an upcoming college football game. It reflects the competitive dynamics of the early game stages, where momentum can shift rapidly. The outcome depends solely on the scoring during the initial 15 minutes of play.

Kalshi

If Michigan wins the 1st 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 1st 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 1st 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 1st quarter tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probability of each outcome shifts in real-time as traders buy and sell contracts. Currently, the total volume for this market is $36,233, with $36,052 traded in the last 24 hours. The dashboard provides a visual representation of market sentiment and allows you to analyze trading activity related to the first quarter of this college basketball matchup.

Generally, prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market is driven by individuals willing to put their capital behind their beliefs. It’s common to see differences emerge, especially as new information becomes available or public sentiment shifts. However, both aim to accurately predict the probability of each outcome in the Indiana vs Michigan 1st 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 a contract reflects the market’s collective assessment of the probability of that outcome occurring. As more traders participate, the prices adjust to reflect changing beliefs. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth and trading volume indicate the level of confidence and agreement among participants regarding the Indiana vs Michigan 1st quarter winner.

This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning team of the first quarter of the Indiana vs Michigan game will determine the outcome. Resolution will be based on the official result declared by the governing body of the college basketball game. The platform will verify the result against publicly available sources to ensure accuracy and transparency for all participants in this market.

Several factors could influence trading activity in this market. Late-breaking news regarding player injuries or suspensions for either Indiana or Michigan would likely cause significant movement. Changes in public perception, perhaps driven by expert analysis or updated team statistics, could also shift the odds. Even significant weather conditions impacting travel or game conditions could play a role. Any information that alters the perceived probability of either team winning the Indiana vs Michigan 1st quarter is likely to be reflected in the market prices.