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Philadelphia vs New York RB: Team Total
kalshi

What is the team total for Philadelphia vs New York RB?

Volume:
$11,094

Philadelphia over 0.5 goals

 - Kalshi

Philadelphia over 0.5 goals - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jul 23, 2026

Closed: Jul 22, 9:00 PM EST

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

Philadelphia over 0.5 goals

View
100%
Yes 100¢No 0¢
100¢
N/A
$5,548
N/A
N/A
$2,876
Settled
Yes
kalshi

Philadelphia over 2.5 goals

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,198
N/A
N/A
$1,038
Settled
Yes
kalshi

New York RB over 0.5 goals

View
100%
Yes 100¢No 0¢
100¢
N/A
$813
N/A
N/A
$499
Settled
Yes
kalshi

Philadelphia over 1.5 goals

View
100%
Yes 100¢No 0¢
100¢
N/A
$778
N/A
N/A
$469
Settled
Yes
kalshi

New York RB over 1.5 goals

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,572
N/A
N/A
$1,223
Settled
No
kalshi

New York RB over 2.5 goals

View
0%
Yes 0¢No 100¢
100¢
N/A
$892
N/A
N/A
$892
Settled
No
kalshi

Philadelphia over 3.5 goals

View
0%
Yes 0¢No 100¢
100¢
N/A
$290
N/A
N/A
$130
Settled
No
kalshi

Philadelphia over 4.5 goals

View
0%
Yes 0¢No 100¢
100¢
N/A
$2
N/A
N/A
$2
Settled
No
Total markets: 8

Description

This event covers goal-scoring performance by both teams in the Philadelphia vs New York RB MLS match on July 22, 2026. Bettors predict whether each team will exceed specific goal thresholds during the 90-minute regulation period plus stoppage time.

Kalshi

Resolution is based on the final goal count for each team after 90 minutes plus stoppage time in the Philadelphia vs New York RB professional MLS soccer game originally scheduled for July 22, 2026. Extra time and penalties are excluded from the calculation. Goals are attributed to the team awarded the goal, including own goals. Each team's performance is evaluated independently against three threshold levels: exceeding 0.5 goals, exceeding 1.5 goals, and exceeding 2.5 goals. A team must score strictly more than the stated threshold to resolve affirmatively.

Frequently asked questions

On Kalshi, the Philadelphia-New York team total market dashboard tracks real-time odds and price history for this prediction market. The interface displays current trading activity, 24-hour volume of $11,009, and historical price movements so traders can monitor how sentiment shifts as game day approaches. This dashboard lets you see at a glance how the market is pricing the combined offensive output of both teams, updated continuously as new trades execute on the platform.

Prediction market odds reflect real money at stake, which often incorporates information faster than traditional analyst forecasts. While sports analysts publish preseason and weekly projections based on historical performance and roster changes, this market aggregates the collective judgment of traders who profit or lose based on accuracy. Comparing the two can reveal where professional consensus diverges from market pricing, highlighting potential value or consensus blind spots in offensive production expectations.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, this market is priced through a continuous order book where traders buy and sell shares representing different outcome ranges. Each share reflects the probability traders assign to a specific team total outcome, with prices ranging from near zero to near 100 cents. As new information emerges or trading volume shifts, prices adjust dynamically to reflect the current consensus on combined offensive production between the two teams.

This market resolves around Jul 23, 2026, once the game concludes and the final team totals are confirmed. The outcome is verified against credible public sources reporting official statistics from the matchup. Until that point, traders can continue to buy and sell shares as new developments—injuries, weather, betting line movements, or team news—shift expectations about how many combined points each team will score.

Key injury announcements, particularly to star offensive players or quarterbacks, typically trigger sharp price moves in team total markets. Coaching changes, offensive line adjustments, or weather forecasts closer to game day can also shift trader positioning. Additionally, line movement from sportsbooks, updated Vegas totals, and team performance in recent games all serve as signals that traders monitor. Breaking news about player availability or game conditions often creates trading opportunities as the market reprices its expectations.