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

events

MATCHED EVENTS:

2,633

PLATFORM COVERAGE:

5

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Pittsburgh vs Washington: Home Runs
kalshi

How many home runs will be hit in Pittsburgh vs Washington?

Volume:
$110,056

Luis García: 1+

 - Kalshi

Luis García: 1+ - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jul 4, 2026

Closed: Jul 3, 9:50 PM EST

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Kalshi

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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

Luis García: 1+

View
100%
Yes 100¢No 0¢
100¢
N/A
$10,373
N/A
N/A
$7,991
Settled
Yes
kalshi

Bryan Reynolds: 1+

100%
Yes 100¢No 0¢
100¢
N/A
$6,056
N/A
N/A
$4,872
Settled
Yes
kalshi

Daylen Lile: 1+

100%
Yes 100¢No 0¢
100¢
N/A
$3,152
N/A
N/A
$2,423
Settled
Yes
kalshi

Daylen Lile: 2+

100%
Yes 100¢No 0¢
100¢
N/A
$3,122
N/A
N/A
$1,793
Settled
Yes
kalshi

José Tena: 1+

100%
Yes 100¢No 0¢
100¢
N/A
$2,222
N/A
N/A
$2,040
Settled
Yes
kalshi

Luis García: 2+

100%
Yes 100¢No 0¢
100¢
N/A
$1,388
N/A
N/A
$1,184
Settled
Yes
kalshi

James Wood: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$32,697
N/A
N/A
$31,517
Settled
No
kalshi

CJ Abrams: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$17,067
N/A
N/A
$15,905
Settled
No
kalshi

Konnor Griffin: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$5,164
N/A
N/A
$5,112
Settled
No
kalshi

Dylan Crews: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$4,573
N/A
N/A
$4,573
Settled
No
kalshi

James Wood: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$4,148
N/A
N/A
$4,143
Settled
No
kalshi

Esmerlyn Valdez: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$3,997
N/A
N/A
$3,900
Settled
No
kalshi

Ryan O'Hearn: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$2,424
N/A
N/A
$2,344
Settled
No
kalshi

Brandon Lowe: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$2,419
N/A
N/A
$2,388
Settled
No
kalshi

Jorbit Vivas: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$2,387
N/A
N/A
$2,383
Settled
No
kalshi

Endy Rodríguez: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$2,057
N/A
N/A
$2,043
Settled
No
kalshi

Jake Mangum: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$1,088
N/A
N/A
$1,048
Settled
No
kalshi

Nick Gonzales: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$1,064
N/A
N/A
$1,054
Settled
No
kalshi

Keibert Ruiz: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$958
N/A
N/A
$951
Settled
No
kalshi

Nasim Nuñez: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$654
N/A
N/A
$650
Settled
No
kalshi

Jared Triolo: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$604
N/A
N/A
$604
Settled
No
kalshi

Jared Triolo: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$468
N/A
N/A
$468
Settled
No
kalshi

Nick Gonzales: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$468
N/A
N/A
$468
Settled
No
kalshi

CJ Abrams: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$406
N/A
N/A
$406
Settled
No
kalshi

Bryan Reynolds: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$337
N/A
N/A
$334
Settled
No
Total markets: 25 of 34

Description

This event tracks the number of home runs hit by individual players during the Pittsburgh vs Washington game on July 3, 2026. A home run is credited when a batter hits the ball over the outfield fence or otherwise scores without the ball being fielded.

Kalshi

If CJ Abrams records 1+ home runs in Pittsburgh vs Washington professional baseball game originally scheduled for Jul 3, 2026 at 6:45 PM EDT, then the market resolves to Yes. If CJ Abrams records 2+ home runs in Pittsburgh vs Washington professional baseball game originally scheduled for Jul 3, 2026 at 6:45 PM EDT, then the market resolves to Yes. If James Wood records 1+ home runs in Pittsburgh vs Washington professional baseball game originally scheduled for Jul 3, 2026 at 6:45 PM EDT, then the market resolves to Yes. If James Wood records 2+ home runs in Pittsburgh vs Washington professional baseball game originally scheduled for Jul 3, 2026 at 6:45 PM EDT, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the Pittsburgh-Washington home runs market dashboard displays real-time odds and price history for this prediction market. The interface tracks current market pricing, allowing traders to monitor how odds shift as game time approaches. You can view the cumulative trading activity and liquidity depth to understand market sentiment around total home runs in the matchup. The dashboard updates continuously, giving you a live snapshot of where traders are positioning themselves on this outcome.

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 aggregate trader beliefs through continuous price discovery. This market aggregates real-money positions from traders who profit by accurately forecasting home run totals, creating a dynamic odds feed. Comparing this market's prices to major sportsbook lines can reveal where consensus differs and highlight potential value opportunities.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell contracts representing yes or no outcomes on total home runs. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each contract reflects the collective belief of active traders at any moment. As new information emerges—injury reports, lineup changes, or weather updates—traders adjust their positions, moving the price up or down. This continuous repricing ensures the market stays responsive to real-world developments leading up to game time.

This market resolves around Jul 4, 2026, once the Pittsburgh-Washington game concludes and the final home run total is verifiable from credible public sources. The outcome is determined by counting all home runs hit by both teams during regulation play. Your position settles based on whether the actual total matches the threshold specified in the market contract. Resolution typically occurs within hours of game completion, after official box scores are published.

Key catalysts for this market include lineup announcements, player injuries, and weather forecasts closer to game day. Trades involving star sluggers or defensive changes can shift expectations around scoring pace. Stadium conditions—wind direction, temperature, and humidity—affect home run distance and frequency. Recent performance trends, bullpen health, and head-to-head matchup history also influence trader positioning. As game time nears, any breaking news about player availability or last-minute roster moves typically triggers sharp price movements.