TOTAL VOLUME:

$134.1b

24H VOL:

$113,466,932

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,423,222,590

402,751

Markets across

30,217

events

MATCHED EVENTS:

2,632

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
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San Diego vs Colorado
kalshi

Who will win San Diego vs Colorado?

Volume:
$4,300,274

San Diego

 - Kalshi

San Diego - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 15, 2026

Closed: Sep 14, 11:49 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

San Diego

View
100%
37%
Yes 100¢No 0¢
100¢
N/A
$2,095,969
N/A
N/A
$1,149,620
Settled
Yes
kalshi

Colorado

0%
38%
Yes 0¢No 100¢
100¢
N/A
$2,204,304
N/A
N/A
$1,299,777
Settled
No
Total markets: 2

Intro

This market tracks whether the San Diego team will win their professional baseball game against Colorado. Currently, Kalshi gives San Diego an 81.0% probability of winning, while Colorado is at 20.0%. The market resolves based on the outcome of the game originally scheduled for Sep 14, 2026 at 8:40 PM EDT, as determined by the final score, according to Kalshi. Keep an eye on the game itself, as the market will resolve following the conclusion of the contest and will be finalized no later than the resolution date estimate of September 15, 2026.

Kalshi

If San Diego wins the San Diego vs Colorado professional baseball game originally scheduled for Sep 14, 2026 at 8:40 PM EDT, then the market resolves to Yes. If Colorado wins the San Diego vs Colorado professional baseball game originally scheduled for Sep 14, 2026 at 8:40 PM EDT, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the San Diego vs Colorado game tracks the current odds, price history, and 24-hour trading volume. You’ll find a visual representation of how the market is pricing the outcome, along with the total volume traded – currently $4,300,274 – and the 24-hour volume, which is $3,655,991. This allows you to monitor market sentiment and activity surrounding the event. The dashboard provides a real-time view of where traders stand on the likely result of the game.

Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines. Sportsbooks set odds based on statistical models and expert analysis, while this market incorporates a broader range of information and opinions from traders. As more information becomes available – such as team news or weather forecasts – the prediction market odds can adjust more rapidly than those at sportsbooks. It’s common to see discrepancies, especially before the event, as traders weigh various factors influencing the outcome.

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 San Diego vs Colorado game. The price of these contracts reflects the probability of that outcome occurring, as determined by supply and demand. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders aim to profit by accurately predicting the event's result, and their collective actions drive the price fluctuations you observe. The current market price represents the aggregated view of all participants.

This market resolves around Sep 15, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the San Diego vs Colorado game as reported by a recognized sports authority. The platform will verify the result against these sources to determine which outcome is deemed to have occurred. Traders holding contracts on the correct outcome will receive a payout, while those on the incorrect outcome will forfeit their investment.

Several factors could significantly impact this market. Any news regarding injuries to key players on either the San Diego or Colorado team would likely cause price movement. Changes in weather conditions, especially if they affect the playing surface or style of play, could also influence trading activity. Unexpected announcements about coaching strategies or team morale might also shift the market. Furthermore, public sentiment and any major news coverage surrounding the game could contribute to changes in the odds as traders react to new information.