TOTAL VOLUME:

$154.6b

24H VOL:

$333,432,169

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,971,286,090

419,492

Markets across

40,634

events

MATCHED EVENTS:

4,654

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Michigan St. vs UCLA: 3rd Quarter Winner
kalshi

What is the result of Michigan St. vs UCLA?

Volume:
$3,443

UCLA

 - Kalshi

UCLA - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 6:20 PM EST

kalshi

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

UCLA

View
100%
Yes 100¢No 0¢
—
N/A
$2,383
N/A
N/A
$2,282
Settled
Yes
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$610
N/A
N/A
$602
Settled
No
kalshi

Michigan St.

0%
Yes 0¢No 100¢
—
N/A
$451
N/A
N/A
$447
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 Michigan State and UCLA. It provides a way to speculate on short-term performance during the third quarter of the contest.

Kalshi

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

Frequently asked questions

On Kalshi, the dashboard for the Michigan State vs UCLA 3rd quarter market displays the current odds for each possible outcome – which team will win the 3rd quarter. You’ll also find a price history chart showing how the odds have fluctuated over time, as well as the 24-hour trading volume, currently at $3,026. Total volume for this market is $3,443. This allows traders to gauge market sentiment and identify potential trading opportunities related to this specific contest.

Prediction market odds often reflect the collective wisdom of informed traders, and can sometimes diverge from traditional sportsbook lines. Sportsbooks set initial odds based on statistical models and expert analysis, but may be slower to incorporate new information or react to significant events. This market, like others on Kalshi, allows traders to express their beliefs about the probability of each outcome, potentially leading to odds that differ from those found at sportsbooks, especially as the event approaches and more information becomes available.

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 implied probability of that outcome occurring. As more traders buy contracts for a particular outcome, its price increases, and the implied probability 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 trader sentiment, offering a real-time assessment of expectations for the 3rd quarter winner of the Michigan State vs UCLA game.

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 is leading at the end of the 3rd quarter of the Michigan State versus UCLA game. The official game results will be used to determine the winning outcome and finalize the market’s settlement. Traders will be able to view the final result and any associated payouts on Kalshi following the game’s conclusion.

Several factors could influence the price movement of this market. Any news regarding player injuries, changes in coaching strategies, or even weather conditions could impact trader sentiment. Unexpected performance in the first half of the game, or significant shifts in momentum, would likely cause substantial price fluctuations. Public perception, as reflected in polls or expert analyses, could also play a role, although this market is driven primarily by the actions of traders on Kalshi.