TOTAL VOLUME:

$154.5b

24H VOL:

$271,200,656

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,922,627,141

420,368

Markets across

40,352

events

MATCHED EVENTS:

4,484

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Orange County vs Phoenix Rising
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What is the result of Orange County vs Phoenix Rising?

Volume:
$55,971

Phoenix Rising

 - Kalshi

Phoenix Rising - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 18, 2026

Closed: Oct 18, 12:04 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

Phoenix Rising

View
100%
Yes 100¢No 0¢
—
N/A
$27,921
N/A
N/A
$15,380
Settled
Yes
kalshi

Orange County

0%
Yes 0¢No 100¢
—
N/A
$17,287
N/A
N/A
$12,700
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$10,763
N/A
N/A
$3,807
Settled
No
Total markets: 3

Description

A professional soccer match will be played between two teams, with the winner determined after the standard 90 minutes plus stoppage time, excluding any extra time or penalty phases. The result hinges solely on regular-time performance.

Kalshi

The market resolves based on the result of the Orange County vs Phoenix Rising professional USL Championship soccer game scheduled for Oct 17, 2026, after 90 minutes plus stoppage time. If Orange County wins, the 'Orange County' market resolves to Yes. If Phoenix Rising wins, the 'Phoenix Rising' market resolves to Yes. If the game ends in a tie, the 'Tie' market resolves to Yes. If the game is cancelled or rescheduled to over 48 hours away from the original date, all markets will resolve to a fair price.

Frequently asked questions

On Kalshi, the dashboard for the Orange County vs Phoenix Rising match tracks the current odds, price history, and 24-hour trading volume. Currently, volume is $55,754 and total volume is $55,754. You can see how the implied probability of different outcomes changes over time, giving you a sense of where the crowd is placing its bets. The dashboard provides a real-time view of market sentiment and activity for this specific event, allowing you to monitor shifts in expectations as new information becomes available.

Prediction market odds often differ from those found at sportsbooks, reflecting the wisdom of the crowd versus the assessments of professional oddsmakers. Sportsbooks typically set initial lines to balance their risk, while this market allows anyone to express their belief about the outcome, potentially leading to more accurate probabilities. Discrepancies can arise due to differing information access, biases, or simply the larger number of participants contributing to the prediction market. It’s common to see this market move independently of sportsbook lines as new information emerges and public opinion shifts.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of a contract reflects the market’s collective belief about the probability of that outcome occurring. As more traders participate, the prices adjust to reflect the latest information and sentiment. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The platform uses a mechanism to ensure that the market price converges towards the true probability as the event approaches, incentivizing accurate predictions and efficient price discovery.

This market resolves around Oct 18, 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 Orange County vs Phoenix Rising match as reported by official sources. The platform will verify the result against these sources to determine the winning outcome and settle the contracts accordingly. Traders will then receive payouts based on their positions in the market at the time of resolution.

Several factors could influence this market before resolution. Any news regarding team injuries, changes in coaching staff, or significant shifts in player form could impact the perceived likelihood of either team winning. Unexpected weather conditions or even pre-game announcements about tactical approaches could also cause movement. Furthermore, large trading volume from informed participants could signal new information or a change in sentiment, leading to price adjustments in this market. Monitoring these signals can provide insights into potential shifts in the market’s expectations.