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24H VOL:

$141,541,542

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2,388,728,490

OPEN INTEREST:

$1,440,096,988

406,065

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30,522

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MATCHED EVENTS:

2,692

PLATFORM COVERAGE:

5

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San Diego vs Los Angeles D: Home Runs
kalshi

How many home runs will be hit in San Diego vs Los Angeles?

Volume:
$465,749

Jackson Merrill: 1+

 - Kalshi

Jackson Merrill: 1+ - Kalshi

1W

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Positive

Negative

Neutral

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Vol.

·

Resolved Jul 3, 2026

Closed: Jul 3, 1:34 AM 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

Jackson Merrill: 1+

View
100%
Yes 100¢No 0¢
100¢
N/A
$14,894
N/A
N/A
$13,403
Settled
Yes
kalshi

Manny Machado: 1+

100%
Yes 100¢No 0¢
100¢
N/A
$14,381
N/A
N/A
$12,380
Settled
Yes
kalshi

Jake Cronenworth: 1+

100%
Yes 100¢No 0¢
100¢
N/A
$7,901
N/A
N/A
$4,867
Settled
Yes
kalshi

Dalton Rushing: 1+

100%
Yes 100¢No 0¢
100¢
N/A
$7,711
N/A
N/A
$5,681
Settled
Yes
kalshi

Shohei Ohtani: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$103,018
N/A
N/A
$91,402
Settled
No
kalshi

Freddie Freeman: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$45,446
N/A
N/A
$42,452
Settled
No
kalshi

Fernando Tatis Jr.: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$38,865
N/A
N/A
$32,266
Settled
No
kalshi

Mookie Betts: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$33,837
N/A
N/A
$30,700
Settled
No
kalshi

Andy Pages: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$26,497
N/A
N/A
$25,124
Settled
No
kalshi

Shohei Ohtani: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$22,357
N/A
N/A
$21,833
Settled
No
kalshi

Ty France: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$20,465
N/A
N/A
$20,204
Settled
No
kalshi

Gavin Sheets: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$16,176
N/A
N/A
$16,014
Settled
No
kalshi

Kyle Tucker: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$15,814
N/A
N/A
$15,086
Settled
No
kalshi

Teoscar Hernández: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$14,259
N/A
N/A
$13,814
Settled
No
kalshi

Manny Machado: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$12,686
N/A
N/A
$12,133
Settled
No
kalshi

Mookie Betts: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$8,990
N/A
N/A
$8,990
Settled
No
kalshi

Andy Pages: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$7,491
N/A
N/A
$7,491
Settled
No
kalshi

Tommy Edman: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$7,160
N/A
N/A
$7,029
Settled
No
kalshi

Max Muncy (LAD): 1+

0%
Yes 0¢No 100¢
100¢
N/A
$6,477
N/A
N/A
$6,348
Settled
No
kalshi

Freddy Fermin: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$5,675
N/A
N/A
$5,631
Settled
No
kalshi

Freddie Freeman: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$5,143
N/A
N/A
$5,138
Settled
No
kalshi

Xander Bogaerts: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$4,391
N/A
N/A
$4,346
Settled
No
kalshi

Shohei Ohtani: 3+

0%
Yes 0¢No 100¢
100¢
N/A
$4,257
N/A
N/A
$4,253
Settled
No
kalshi

Fernando Tatis Jr.: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$3,935
N/A
N/A
$3,935
Settled
No
kalshi

Jackson Merrill: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$3,779
N/A
N/A
$3,604
Settled
No
Total markets: 25 of 36

Description

This event tracks home runs hit by individual players during a San Diego Padres vs Los Angeles Dodgers game on July 2, 2026. A home run is credited when a batter hits the ball over the outfield fence or otherwise scores on a single hit.

Kalshi

Settlement requires that the player be in the starting lineup and record at least one plate appearance. If a player is scratched or not included in the starting lineup, the market resolves to fair market price. If a player starts but does not record a plate appearance, the market resolves to fair market price. Players who enter the game as pinch hitters do not count toward settlement; only starting players' at-bats are considered. Once a starting player records at least one plate appearance, the market settles based on the home runs actually recorded during the game.

Frequently asked questions

On Kalshi, the dashboard for the Padres-Dodgers home run market displays real-time odds and price history as traders buy and sell shares tied to home run outcomes in this matchup. You can monitor current market sentiment, recent price movements, and 24-hour trading volume of $464,283 to gauge how the crowd is positioning ahead of game time. The interface lets you track how odds shift as new information emerges, giving you a live snapshot of where prediction market participants stand on total home runs in this National League contest.

Prediction market odds and sportsbook odds often diverge because they reflect different participant pools and incentive structures. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets like this one are driven by traders risking real capital on their forecasts. This market aggregates dispersed information from many independent participants, which can surface insights sportsbooks miss—or lag behind them during sharp early action. Comparing the two can reveal where consensus differs and highlight potential value in either venue.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks on shares representing different home run outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome reflects the marginal trade—the last executed transaction—and moves as new orders flow in. Traders can enter or exit positions throughout the market's lifetime, and the spread between bid and ask widens or tightens based on liquidity and conviction. This dynamic pricing model ensures that odds adjust in real time as new information or sentiment shifts.

This market resolves around Jul 3, 2026, once the game concludes and the result is verifiable from credible public sources. The outcome will be confirmed based on the actual home run total recorded in the matchup. Until that point, traders can continue to buy and sell shares as odds fluctuate with game developments, injury reports, or lineup changes. Resolution is automatic once the event is finalized and the data is locked in.

Key catalysts include lineup announcements, injury updates to star hitters or pitchers, weather conditions at the stadium, and bullpen availability. Early-game home runs will shift odds sharply as traders update their forecasts based on live action. Trades by sharp bettors—often the first to react to new information—can trigger cascading price moves as other participants follow. Sportsbook line moves and social media sentiment spikes may also signal shifting expectations, prompting traders to reposition before the final innings.