TOTAL VOLUME:

$154.7b

24H VOL:

$279,496,801

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,923,931,766

416,910

Markets across

40,107

events

MATCHED EVENTS:

4,571

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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California vs SMU: 1st Quarter Winner
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What is the result of California vs SMU?

Volume:
$16,991

SMU

 - Kalshi

SMU - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 12:59 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

SMU

View
100%
Yes 100¢No 0¢
—
N/A
$8,236
N/A
N/A
$6,225
Settled
Yes
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$4,690
N/A
N/A
$4,394
Settled
No
kalshi

California

0%
Yes 0¢No 100¢
—
N/A
$4,065
N/A
N/A
$2,427
Settled
No
Total markets: 3

Description

This market focuses on predicting which team will lead after the first quarter of a college football game between California and SMU. 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 SMU wins the 1st quarter of the California vs SMU college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If California wins the 1st quarter of the California vs SMU college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If neither team wins the 1st quarter of the California vs SMU college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the California vs SMU game tracks the current odds for each possible outcome in the first quarter, along with a visual representation of price history. You can also see the 24-hour trading volume, which currently stands at $12,518, and the total volume traded to date, reaching $16,991. This allows you to gauge market sentiment and how actively traders are participating in this particular contest. The dashboard provides a real-time view of how predictions are evolving as new information becomes available.

Prediction market odds often reflect the wisdom of the crowd, potentially differing from traditional sportsbook odds. Sportsbooks establish lines based on their own models and aim to balance action on both sides, while this market allows anyone to express their view. If a significant number of traders believe a sportsbook has mispriced an outcome, the odds here can move in the opposite direction. It's common to see discrepancies, especially before a lot of money has been wagered, as this market incorporates a broader range of perspectives than a single bookmaker.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their belief in each outcome. The price of a contract reflects 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 and place orders, the prices adjust to find an equilibrium point. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust expectations regarding the first quarter winner of the California vs SMU game.

This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The first quarter winner of the California vs SMU game will be determined based on official game results. The platform will then verify the results against these sources to determine which outcome corresponds to the actual winner. This ensures a transparent and objective resolution process for all participants in this market.

Several factors could influence the odds in this market before the game concludes. Any news regarding key player injuries for either California or SMU would likely cause significant movement. Changes in weather forecasts, particularly if they are expected to impact the game's style, could also shift predictions. Furthermore, pre-game analysis from sports commentators and updated team statistics released leading up to kickoff can all contribute to changes in market sentiment and, consequently, the prices observed on Kalshi.