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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Iowa vs Minnesota: 3rd Quarter Winner
kalshi

What is the result of Iowa vs Minnesota?

Volume:
$3,636

Minnesota

 - Kalshi

Minnesota - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 6:06 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

Minnesota

View
100%
Yes 100¢No 0¢
—
N/A
$2,002
N/A
N/A
$1,307
Settled
Yes
kalshi

Iowa

0%
Yes 0¢No 100¢
—
N/A
$840
N/A
N/A
$666
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$793
N/A
N/A
$783
Settled
No
Total markets: 3

Description

This market tracks which team will score more points in a specific quarter of a college football game between Iowa and Minnesota. It focuses solely on performance during the third quarter, ignoring the overall game result. The outcome depends entirely on the points each team scores in that single quarter.

Kalshi

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

Frequently asked questions

On Kalshi, the dashboard for the Iowa vs Minnesota 3rd quarter market displays the current price, price history, and 24-hour trading volume. Currently, the volume is $1,825 and the total volume traded to date is $3,636. Traders on Kalshi are expressing their beliefs about which team will win the third quarter of the game, and the price reflects the collective probability assigned to each outcome. The dashboard provides a visual representation of how these probabilities have changed over time, offering insights into market sentiment.

Prediction market odds often reflect the wisdom of the crowd, potentially differing from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, incorporating a profit margin. This market, however, is driven by individuals trading based on their own information and analysis. If a significant number of people believe a sportsbook line is inaccurate, they can trade in the prediction market to express that view, causing the odds to shift. Discrepancies can arise due to differing information sources, biases, or simply the dynamic nature of both markets.

On Kalshi, this market is priced through a continuous double auction, meaning traders buy and sell contracts representing each possible outcome – in this case, Iowa winning the 3rd quarter or Minnesota winning the 3rd quarter. The price of a contract represents the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the prices adjust to reflect the evolving consensus. The closer the event gets, the more volatile the prices may become as new information emerges and traders refine their predictions.

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 3rd quarter of the Iowa vs Minnesota game will determine the outcome. The final score at the end of the 3rd quarter will be used to determine the winner, and the market will settle accordingly. Traders who correctly predicted the 3rd quarter winner will receive a payout based on the final market price at resolution.

Several factors could influence trading activity in this market. News regarding player injuries, changes in team strategy, or even weather conditions could all impact perceived probabilities. Unexpected performance from key players during the first half of the game could also lead to significant shifts. Public sentiment, as reflected in social media or expert analysis, might also play a role. Any information that alters the perceived likelihood of either Iowa or Minnesota winning the 3rd quarter has the potential to move this market.