TOTAL VOLUME:

$134.1b

24H VOL:

$133,388,117

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,436,095,462

405,232

Markets across

30,526

events

MATCHED EVENTS:

2,693

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Los Angeles D vs San Diego: Home Runs
kalshi

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

Volume:
$247,937

Mookie Betts: 1+

 - Kalshi

Mookie Betts: 1+ - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jun 27, 2026

Closed: Jun 27, 12:30 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

Mookie Betts: 1+

View
100%
Yes 100¢No 0¢
100¢
N/A
$13,388
N/A
N/A
$10,907
Settled
Yes
kalshi

Ty France: 1+

100%
Yes 100¢No 0¢
100¢
N/A
$11,214
N/A
N/A
$6,062
Settled
Yes
kalshi

Shohei Ohtani: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$51,081
N/A
N/A
$48,621
Settled
No
kalshi

Manny Machado: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$23,793
N/A
N/A
$22,705
Settled
No
kalshi

Freddie Freeman: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$21,078
N/A
N/A
$20,292
Settled
No
kalshi

Fernando Tatis Jr.: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$18,658
N/A
N/A
$18,277
Settled
No
kalshi

Jackson Merrill: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$14,589
N/A
N/A
$10,243
Settled
No
kalshi

Shohei Ohtani: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$13,569
N/A
N/A
$13,369
Settled
No
kalshi

Kyle Tucker: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$12,168
N/A
N/A
$12,156
Settled
No
kalshi

Andy Pages: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$11,936
N/A
N/A
$11,755
Settled
No
kalshi

Max Muncy: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$10,690
N/A
N/A
$10,671
Settled
No
kalshi

Xander Bogaerts: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$6,624
N/A
N/A
$6,584
Settled
No
kalshi

Rodolfo Durán: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$5,340
N/A
N/A
$5,334
Settled
No
kalshi

Dalton Rushing: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$5,306
N/A
N/A
$5,300
Settled
No
kalshi

Gavin Sheets: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$4,210
N/A
N/A
$4,210
Settled
No
kalshi

Mookie Betts: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$3,969
N/A
N/A
$3,459
Settled
No
kalshi

Tommy Edman: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$3,466
N/A
N/A
$3,435
Settled
No
kalshi

Freddie Freeman: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$2,862
N/A
N/A
$2,848
Settled
No
kalshi

Samad Taylor: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$2,609
N/A
N/A
$2,550
Settled
No
kalshi

Fernando Tatis Jr.: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$2,488
N/A
N/A
$2,488
Settled
No
kalshi

Andy Pages: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$1,620
N/A
N/A
$1,620
Settled
No
kalshi

Will Wagner: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$1,465
N/A
N/A
$1,459
Settled
No
kalshi

Xander Bogaerts: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$1,235
N/A
N/A
$1,235
Settled
No
kalshi

Max Muncy: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$1,184
N/A
N/A
$1,177
Settled
No
kalshi

Manny Machado: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$1,074
N/A
N/A
$1,074
Settled
No
Total markets: 25 of 34

Description

This event covers individual player home run performance in a Los Angeles Dodgers vs San Diego Padres game scheduled for June 26, 2026. Bettors can wager on whether specific players will hit one or more home runs, or two or more home runs during the game.

Kalshi

Settlement is based on official home run statistics recorded during the game. For each player, only plate appearances while in the starting lineup count toward resolution. If a player is scratched or not included in the starting lineup, the market resolves to fair market price. If a player starts but records no plate appearances, the market resolves to fair market price. If a player enters the game as a pinch hitter after not starting, the market resolves to fair market price and pinch-hit at-bats do not count. If a player is in the starting lineup and records at least one plate appearance, the market settles based on the actual number of home runs recorded, with separate outcomes for 1+ and 2+ home run thresholds.

Frequently asked questions

On Kalshi, the dashboard for the Dodgers-Padres home run market displays real-time odds and price movement as traders buy and sell shares tied to total home runs hit during the matchup. You can monitor the current implied probability of each outcome, review 24-hour trading volume, and track how sentiment shifts as game time approaches. The interface lets you see historical price charts, helping you identify trends and spot when the market reprices based on roster updates, weather conditions, or other factors affecting offensive production in this specific contest.

Prediction markets and sportsbooks price events differently because they operate under distinct incentive structures. Sportsbooks set odds to balance their book and lock in profit margins, while prediction markets like this one are driven by trader consensus—each participant risks real capital on their forecast. This market aggregates dispersed information from many independent forecasters, often surfacing edges that traditional oddsmakers miss. Over time, prediction market prices tend to reflect ground truth more efficiently, though sportsbook odds remain useful as a cross-check for identifying mispricings or validating your own thesis.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares representing each outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each share reflects the collective belief about the likelihood of that outcome, ranging from near-zero to near-one dollar. As new information emerges—injury reports, lineup changes, or pre-game commentary—traders adjust their positions, and prices move to equilibrate supply and demand. Your entry and exit prices depend on the live order book depth and the size of your trade.

This market resolves around Jun 27, 2026, once the Dodgers-Padres game concludes and the final home run count is verifiable from credible public sources. The outcome is determined by the total number of home runs hit by both teams combined during regulation play. Once the result is confirmed and locked in, all shares are settled at their final value—either one dollar for the correct outcome or zero for incorrect ones. Traders who correctly predicted the home run total receive their winnings, while incorrect positions expire worthless.

Several catalysts can shift prices before the game begins. Lineup announcements, particularly the inclusion or absence of power hitters, typically trigger sharp repricing. Weather forecasts matter significantly—wind direction and speed affect home run distance and frequency. Injury updates to key sluggers or pitchers can swing sentiment quickly. Recent offensive trends, ballpark-specific factors like dimensions and altitude, and bullpen composition all influence trader positioning. As game time nears, pre-game commentary from analysts and any last-minute roster changes will likely spark final adjustments to this market's odds.