TOTAL VOLUME:

$134b

24H VOL:

$107,351,958

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,416,970,024

400,720

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30,097

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MATCHED EVENTS:

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PLATFORM COVERAGE:

5

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Pittsburgh vs Philadelphia: First 5 Spread
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What is the first 5 spread in Pittsburgh vs Philadelphia?

Volume:
$44,298

Philadelphia -1.5 first 5 innings

 - Kalshi

Philadelphia -1.5 first 5 innings - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jul 1, 2026

Closed: Jun 30, 8:05 PM 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

Philadelphia -1.5 first 5 innings

View
100%
Yes 100¢No 0¢
100¢
N/A
$34,659
N/A
N/A
$22,928
Settled
Yes
kalshi

Philadelphia -2.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$4,710
N/A
N/A
$3,667
Settled
No
kalshi

Pittsburgh -1.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$3,342
N/A
N/A
$3,255
Settled
No
kalshi

Pittsburgh -2.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$1,588
N/A
N/A
$1,340
Settled
No
Total markets: 4

Description

This event tracks the run differential between Pittsburgh and Philadelphia during the first five innings of their professional baseball game on June 30, 2026. Bettors can wager on whether one team leads by a specific margin at the end of the fifth inning.

Kalshi

Resolution is determined by the run differential at the end of the fifth inning in the Pittsburgh vs Philadelphia professional baseball game originally scheduled for June 30, 2026 at 6:40 PM EDT. Philadelphia winning by more than 2.5 runs or more than 1.5 runs, and Pittsburgh winning by more than 1.5 runs or more than 2.5 runs each constitute separate Yes outcomes. The applicable outcome resolves to Yes based on the actual margin after five innings; all other outcomes resolve to No. If the game is postponed or delayed, the market remains open and closes after the rescheduled game concludes within two days.

Frequently asked questions

On Kalshi, the Pittsburgh-Philadelphia first 5 spread market dashboard tracks real-time odds and price movement for this prediction market. The interface displays current contract prices, historical price charts, and 24-hour trading volume to help you monitor sentiment shifts as the event approaches. You can view the latest odds alongside cumulative trading activity, giving you a complete snapshot of how traders are positioning themselves on the first-quarter spread outcome between these two teams.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets like this one aggregate trader beliefs through continuous price discovery. This market can reveal where informed traders see value relative to traditional sportsbook spreads, particularly when sharp bettors identify mispricings. Comparing the two sources helps you identify consensus or contrarian positioning on the first-quarter spread.

On Kalshi, this market is priced through continuous order-book trading, where buyers and sellers submit bids and asks that determine contract value in real time. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price reflects the collective probability that traders assign to each outcome, with higher prices indicating stronger belief in that result. As new information emerges or trading interest shifts, the spread adjusts dynamically, allowing you to enter or exit positions at market-clearing rates throughout the trading window.

This market resolves around Jul 1, 2026, once the Pittsburgh-Philadelphia game concludes and the first-quarter spread result is verifiable from credible public sources. The outcome is determined by the actual point differential at the end of the first quarter, compared against the spread embedded in the market contract. Resolution occurs automatically after the event is confirmed, and all positions settle based on whether the final first-quarter margin matched the predicted spread.

Key catalysts include team injury reports, lineup announcements, and recent performance trends leading up to game day. Weather conditions, travel schedules, and back-to-back game fatigue can all influence first-quarter pace and scoring. Public betting patterns and sharp money movement on sportsbooks may also shift trader sentiment here. Additionally, any late-breaking news about player availability or coaching adjustments could trigger repricing as the event date approaches, making this market responsive to real-world developments.