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.
kalshi

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

Volume:
$1,064,444

Colorado St.

 - Kalshi

Colorado St. - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 10:09 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%
51%
Yes 100¢No 0¢
—
N/A
$507,167
N/A
N/A
$291,978
Settled
Yes
kalshi

San Diego St.

0%
Yes 0¢No 100¢
—
N/A
$557,278
N/A
N/A
$301,912
Settled
No
Total markets: 2

Description

This highly anticipated athletic contest will feature two programs aiming to prove dominance through strategic gameplay and athlete performance over the full match duration.

Kalshi

Markets resolve to Yes if the specified team wins the designated college football game originally scheduled for October 24, 2026. If the game experiences a postponement but commences within 48 hours of its intended start time, markets remain active and resolve based on the official final result. In cases where the game is cancelled or does not begin within this 48-hour window, all markets resolve to a fair price considering the inability to produce a definitive competitive outcome.

Frequently asked questions

On Kalshi, the dashboard for the San Diego State vs Colorado State game tracks the current odds, price history, and 24-hour trading volume. You’ll find a visual representation of how traders are pricing the likelihood of different outcomes. Currently, the total volume for this market is $1,064,444, with $968,230 traded in the last 24 hours. This data updates continuously, reflecting the collective predictions of market participants. The dashboard provides a real-time view of market sentiment regarding the game's result.

Prediction market odds often differ from traditional sportsbook odds due to the different incentives and information sources involved. Sportsbooks set lines to balance action and ensure profit, while this market reflects the collective wisdom of traders who are incentivized to accurately predict the outcome. Typically, discrepancies arise from differing opinions on team strengths, injuries, or other factors influencing the game. It’s common to see prediction markets incorporate information more quickly than sportsbooks, particularly when new or less-publicized data emerges. Analyzing these differences can reveal insights into public versus informed opinion.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of each contract reflects the probability of that outcome occurring, as determined by supply and demand. As more traders believe an outcome is likely, the price of its corresponding contract increases. 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 adapt to new information and changing perceptions. Traders can take either the 'yes' or 'no' side of the outcome, effectively making a prediction and wagering on its accuracy.

This market resolves around Oct 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the final result of the San Diego State vs Colorado State game, as officially recorded. The platform will verify the result against trusted sources to ensure accuracy and transparency. Traders holding contracts on the correct outcome will receive a payout, while those on the incorrect outcome will forfeit their stake. The precise timing of resolution may vary slightly depending on the availability of official results.

Several signals or events could significantly move this market before it resolves. Key factors include any news regarding injuries to star players on either team, changes in coaching strategies, or unexpected weather conditions that might affect gameplay. Significant shifts in public perception, driven by expert analysis or media coverage, could also influence trading activity. Late-breaking news about team morale or internal conflicts could also impact the market. Any information that alters the perceived probability of either team winning has the potential to cause price fluctuations.