TOTAL VOLUME:

$154.4b

24H VOL:

$290,393,159

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,944,100,805

420,493

Markets across

40,511

events

MATCHED EVENTS:

4,612

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Missouri vs Arkansas: 3rd Quarter Winner
kalshi

What is the result of Missouri vs Arkansas?

Volume:
$440

Missouri

 - Kalshi

Missouri - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 31, 2026

Closed: Oct 31, 10:21 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

Missouri

View
100%
Yes 100¢No 0¢
—
N/A
$297
N/A
N/A
$254
Settled
Yes
kalshi

Arkansas

0%
Yes 0¢No 100¢
—
N/A
$138
N/A
N/A
$99
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$6
N/A
N/A
$6
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in the third quarter of a college football game between Missouri and Arkansas. It provides a way to speculate on short-term performance during a specific segment of the game, rather than the overall result.

Kalshi

If Arkansas wins the 3rd quarter of the Missouri vs Arkansas college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If Missouri wins the 3rd quarter of the Missouri vs Arkansas college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If neither team wins the 3rd quarter of the Missouri vs Arkansas college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Missouri vs Arkansas 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 the perceived probability of each outcome has changed over time, as well as the 24-hour trading volume, currently at $438. The total volume traded on this market is $438. This allows you to see how actively traders are participating and how the market is responding to new information.

Prediction market odds often reflect the wisdom of the crowd, potentially differing from sportsbook odds which may be influenced by factors like house bias or initial line setting. Sportsbooks typically set odds based on statistical models and expert analysis, while this market aggregates the opinions of many individual traders. It’s common to see discrepancies, especially before significant events or breaking news. Comparing the two can offer a broader perspective on the likely outcome of the Missouri vs Arkansas game, and how public sentiment aligns with professional analysis.

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 probability of that outcome occurring, as perceived by the market participants. As more traders buy contracts for a particular outcome, its price increases, indicating a higher perceived probability. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust the odds accordingly, providing a real-time assessment of the likely winner of the 3rd quarter.

This market resolves around Nov 1, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the third quarter of the Missouri vs Arkansas game will be declared the winner of this market. The official game results, as reported by a trusted sports data source, will determine the final outcome. Traders will then be able to claim their winnings or fulfill their obligations 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 Missouri or Arkansas teams would likely have a significant impact. Changes in weather conditions, particularly if they favor one team’s playing style, could also shift the odds. Furthermore, in-game performance during the first and second quarters, and any strategic adjustments made by the coaches, could all contribute to changes in the perceived probability of each team winning the third quarter. Public sentiment and late-breaking analysis could also play a role.