TOTAL VOLUME:

$134b

24H VOL:

$87,176,691

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,391,958,194

394,660

Markets across

30,119

events

MATCHED EVENTS:

2,626

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Sports
Orange County vs Pittsburgh: Total Goals
kalshi

What is the result of Orange County vs Pittsburgh?

Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result

Description

This event tracks the total number of goals scored in a professional soccer match between Orange County and Pittsburgh. The outcome depends on whether the combined goals exceed specific thresholds. It reflects the offensive performance of both teams during the regulated time of the game.

Kalshi

The event evaluates multiple thresholds for total goals scored in the Orange County vs Pittsburgh professional USL Championship soccer match scheduled for September 26, 2026. Each market resolves to 'Yes' if the combined goals exceed a specified half-goal increment (0.5, 1.5, 2.5, 3.5, 4.5, or 5.5) after 90 minutes plus stoppage time, excluding extra time or penalty kicks. All markets share the same governing conditions and disclaimers, emphasizing that Kalshi is not officially connected with the league, and all trademarks remain property of their respective owners. The resolution focuses solely on regular-time scoring, with no consideration for post-match tiebreakers or additional periods.

Frequently asked questions

On Kalshi, the dashboard for the Orange County vs Pittsburgh goals market displays the current price, price history, and 24-hour trading volume. You can see how the implied probability of different goal totals fluctuates in real-time. Currently, the 24-hour volume is $17,046 and the total volume is $20,049. This allows traders to gauge market interest and potential price movements. The dashboard provides a visual representation of the market's activity, helping you make informed decisions when participating in this market.

Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially differing from sportsbook odds which are set by professional oddsmakers. Sportsbooks may incorporate factors like public betting percentages and risk management into their lines, while this market relies on individuals’ independent assessments of the likely outcome. It’s common to see discrepancies, especially before significant events or when new information emerges. Comparing the two can offer valuable insights into differing perspectives on the Orange County vs Pittsburgh match and the total goals scored.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different potential total goal outcomes. The price of each contract reflects the market’s current expectation of that outcome’s probability. As more traders participate, the prices adjust based on supply and demand. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are essentially betting on their predictions, and the collective actions of all participants determine the market price. This dynamic pricing mechanism aims to provide a real-time assessment of the event's likelihood.

This market resolves around Sep 27, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final total goals scored in the Orange County vs Pittsburgh match will be used to determine the winning contracts. The resolution will be based on official game statistics, ensuring a transparent and accurate outcome. Traders will be able to see the final result and any associated payouts on Kalshi after the event concludes and the data is verified.

Several factors could influence the price of this market. Any news regarding key player injuries or suspensions for either the Orange County or Pittsburgh teams would likely cause significant movement. Changes in weather conditions, particularly if they are expected to impact the game's scoring environment, could also play a role. Unexpected tactical shifts announced by either team’s coach, or even late-breaking news about team morale, could shift trader sentiment. Ultimately, any information that alters perceptions of the likely total goals scored has the potential to move this market.