TOTAL VOLUME:

$154.4b

24H VOL:

$245,801,863

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,902,097,102

417,059

Markets across

40,178

events

MATCHED EVENTS:

4,415

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Orange County vs Monterey Bay FC
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What is the result of Orange County vs Monterey Bay FC?

Volume:
$142,744

Monterey Bay FC

 - Kalshi

Monterey Bay FC - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 4, 2026

Closed: Oct 4, 12:06 AM EST

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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

Monterey Bay FC

View
100%
Yes 100¢No 0¢
—
N/A
$53,171
N/A
N/A
$37,301
Settled
Yes
kalshi

Orange County

0%
Yes 0¢No 100¢
—
N/A
$58,333
N/A
N/A
$34,534
Settled
No
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Tie

0%
Yes 0¢No 100¢
—
N/A
$31,240
N/A
N/A
$22,221
Settled
No
Total markets: 3

Description

Another USL Championship soccer match features Orange County against Monterey Bay FC on October 3, 2026. The result will be determined after 90 minutes of play plus stoppage time, without considering extra time or penalties.

Kalshi

The market resolves based on the result of the Orange County vs Monterey Bay FC professional USL Championship soccer game scheduled for October 3, 2026, after 90 minutes plus stoppage time. A win for Orange County resolves the 'Orange County' market to Yes; a win for Monterey Bay FC resolves the 'Monterey Bay FC' market to Yes; a tie resolves the 'Tie' market to Yes. Extra time and penalty shootouts do not affect the resolution. If the game is cancelled or rescheduled to more than 48 hours away from the original date, the market will resolve to a fair price.

Frequently asked questions

On Kalshi, the dashboard for the Orange County vs Monterey Bay FC match tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probabilities are shifting as traders buy and sell contracts related to the outcome of the match. Currently, the total volume for this market is $142,744, with $129,252 traded in the last 24 hours. This provides a real-time view of how the crowd is assessing the potential results of the game and allows you to monitor market activity.

Prediction market odds often reflect the wisdom of the crowd, potentially differing from sportsbook odds which may be influenced by factors like house bias or initial public perception. Sportsbooks set lines based on their own models and risk management, while this market aggregates the beliefs of many individual traders. If a significant discrepancy emerges between prediction market prices and sportsbook lines, it could indicate that the crowd believes the sportsbook is mispricing the probability of a particular outcome. It's a useful comparison point for informed analysis.

On Kalshi, this market is priced through a continuous order book where traders can buy and sell contracts representing different outcomes of the Orange County vs Monterey Bay FC match. The price of each contract reflects the market's current assessment of the probability of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information becomes available, the prices will adjust, providing a dynamic indication of expectations. The goal is for the market price to converge with the true probability of the event happening.

This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result of the Orange County vs Monterey Bay FC match will be used to determine the winning contract. The platform will rely on official sources to verify the final score and declare the outcome, ensuring a transparent and objective resolution process. Traders holding the winning contract will receive a payout based on the final market price at resolution.

Several factors could influence the price of this market before Oct 4, 2026. Any news regarding player injuries, changes in team lineups, or unexpected weather conditions could significantly shift expectations. Furthermore, the performance of both teams in their preceding matches, any tactical adjustments announced by the coaches, or even public sentiment expressed through social media could all contribute to price movements. Unexpected upsets in other related matches could also indirectly impact trading activity in this market.