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Sports OPEN

Philadelphia vs DC United

📊 $0 traded 🏦 Source: Kalshi
Total Volume
$0
Open Interest
0
Active Markets
3
Markets
3

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Prev Close
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Prices in cents (1¢ = 1%). Trade on Kalshi.

All Outcomes (3)
Outcome Probability Yes Bid Yes Ask 24h Change Volume
Philadelphia 0%
$0 Trade →
DC United 0%
$0 Trade →
Tie 0%
$0 Trade →

About This Market

This market allows participants to predict the outcome of the Major League Soccer match between the Philadelphia Union and D.C. United. It provides a decentralized way to gauge market sentiment regarding the result of this specific professional sports encounter.

The Philadelphia Union and D.C. United are long-standing rivals within the Eastern Conference of MLS. Historical matches between these two clubs have been characterized by fluctuating form, tactical adjustments, and significant implications for playoff positioning as the season progresses.

Market pricing reflects the collective expectation of the match outcome, with the cost of each position representing the market's assessment of that specific result occurring.

Key Factors

Frequently Asked Questions

What are the three possible outcomes for this market?

The market tracks three distinct results: a Philadelphia Union win, a D.C. United win, or a draw.

How is the official result determined?

The result is determined by the final score of the match, including any stoppage time added by the referee, but excluding extra time or penalty shootouts if applicable to tournament rules.

What happens if the match is postponed or canceled?

Typically, if a match is not played by the end of the specified date or is declared a 'no contest,' the market may settle based on specific exchange rules, often resulting in a void or refund.

Do goals scored in extra time count toward this prediction?

No, this market focuses on the result at the end of regulation time, including standard stoppage time.

How does weather affect the outcome of this match?

Severe weather can impact pitch conditions and player fatigue, potentially favoring teams that rely on physicality or those better adapted to specific environmental variables.

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