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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San Diego St. vs Colorado St.: 2nd Quarter Winner
kalshi

What is the result of San Diego St. vs Colorado St.?

Volume:
$3,701

Colorado St.

 - Kalshi

Colorado St. - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 8:33 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

Colorado St.

View
100%
Yes 100¢No 0¢
—
N/A
$880
N/A
N/A
$858
Settled
Yes
kalshi

San Diego St.

0%
Yes 0¢No 100¢
—
N/A
$2,406
N/A
N/A
$1,252
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$415
N/A
N/A
$408
Settled
No
Total markets: 3

Description

This market determines the winner of the second quarter in the San Diego State versus Colorado State college football game. It covers three possible outcomes: Colorado State winning, San Diego State winning, or a tie in points scored during that quarter.

Kalshi

Markets resolve if Colorado State, San Diego State, or neither team (tie) scores more points in the second quarter. Only second-quarter points count. Postponements within 48 hours allow markets to resolve based on the official result; delays beyond that result in a fair price. Kalshi is not affiliated with the NCAA.

Frequently asked questions

On Kalshi, the dashboard for the San Diego St vs Colorado St 2nd quarter market tracks the current price, price history, and 24-hour trading volume. Currently, the volume is $3,701, and the total volume for this market is $3,701. You can see how the price fluctuates as traders buy and sell contracts representing their beliefs about which team will win the second quarter. The dashboard provides a visual representation of market sentiment and allows you to analyze trading activity over time, giving insight into how predictions are evolving.

Prediction market odds often reflect the wisdom of the crowd, potentially differing from initial sportsbook lines. Sportsbooks set odds based on their own models and aim to balance action on both sides, while this market aggregates the diverse perspectives of many individual traders. It’s common to see prediction market prices move independently of sportsbook odds as new information emerges or public sentiment shifts. Discrepancies can arise due to differing risk assessments, information access, or simply the collective intelligence expressed through trading activity in this market.

On Kalshi, this market is priced through a continuous auction mechanism where traders buy and sell contracts representing their belief about the outcome of the second quarter. 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. Traders can take either the 'yes' or 'no' side of the market, and the price adjusts dynamically based on supply and demand. Higher demand for a particular outcome will drive its price up, indicating a greater perceived probability, while increased selling pressure will lower the price.

This market resolves around Oct 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the second quarter of the San Diego St vs Colorado St game will be declared the winner of this market. The resolution will be based on official game statistics and results as reported by authoritative sports sources. Traders will be able to view the confirmed outcome on Kalshi following the conclusion of the game and official verification of the second-quarter results.

Several factors could influence trading activity and move this market before resolution. Any news regarding player injuries, changes in team strategy, or even weather conditions could impact perceived probabilities. Unexpected performance in the first quarter of the game, or even pre-game reports on team morale, could also cause significant shifts in the market. Public sentiment, as reflected in social media or expert analysis, can also play a role, as traders react to new information and adjust their predictions accordingly. These signals can lead to increased volume and price fluctuations in this market.