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 A's: Home Runs
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Los Angeles D vs A's: Home Runs

Volume:
$314,017

Shohei Ohtani: 1+

 - Kalshi

Shohei Ohtani: 1+ - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 30, 2026

Closed: Jun 30, 1:00 AM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Shohei Ohtani: 1+

View
100%
Yes 100¢No 0¢
100¢
N/A
$43,198
N/A
N/A
$33,421
Settled
Yes
kalshi

Andy Pages: 1+

100%
Yes 100¢No 0¢
100¢
N/A
$5,257
N/A
N/A
$3,821
Settled
Yes
kalshi

Colby Thomas: 1+

100%
Yes 100¢No 0¢
100¢
N/A
$1,429
N/A
N/A
$1,265
Settled
Yes
kalshi

Jacob Wilson: 1+

9%
Yes 9¢No 91¢
100¢
N/A
$2,302
N/A
N/A
$2,302
Settled
No
kalshi

Jacob Wilson: 2+

1%
Yes 1¢No 99¢
100¢
N/A
$6,626
N/A
N/A
$6,626
Settled
No
kalshi

Max Muncy: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$87,991
N/A
N/A
$63,743
Settled
No
kalshi

Shohei Ohtani: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$23,634
N/A
N/A
$22,067
Settled
No
kalshi

Nick Kurtz: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$19,780
N/A
N/A
$19,059
Settled
No
kalshi

Mookie Betts: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$18,114
N/A
N/A
$17,862
Settled
No
kalshi

Shea Langeliers: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$18,063
N/A
N/A
$17,758
Settled
No
kalshi

Freddie Freeman: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$13,057
N/A
N/A
$12,187
Settled
No
kalshi

Miguel Rojas: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$9,426
N/A
N/A
$9,412
Settled
No
kalshi

Nick Kurtz: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$8,833
N/A
N/A
$8,716
Settled
No
kalshi

Kyle Tucker: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$7,550
N/A
N/A
$7,507
Settled
No
kalshi

Colby Thomas: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$6,890
N/A
N/A
$6,889
Settled
No
kalshi

Henry Bolte: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$5,678
N/A
N/A
$5,646
Settled
No
kalshi

Shohei Ohtani: 3+

0%
Yes 0¢No 100¢
100¢
N/A
$5,466
N/A
N/A
$5,407
Settled
No
kalshi

Shea Langeliers: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$5,043
N/A
N/A
$5,043
Settled
No
kalshi

Teoscar Hernández: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$4,237
N/A
N/A
$4,038
Settled
No
kalshi

Dalton Rushing: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$4,045
N/A
N/A
$3,823
Settled
No
kalshi

Jonah Heim: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$3,847
N/A
N/A
$3,261
Settled
No
kalshi

Andy Pages: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$3,162
N/A
N/A
$3,144
Settled
No
kalshi

Alika Williams: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$2,554
N/A
N/A
$2,548
Settled
No
kalshi

Lawrence Butler: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$2,511
N/A
N/A
$2,510
Settled
No
kalshi

Mookie Betts: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$1,687
N/A
N/A
$1,687
Settled
No
Total markets: 25 of 36

Description

Ketel Marte bats for Arizona against San Francisco on June 29, 2026. These markets track the combined total of his hits, runs scored, and RBIs during the game. Only at-bats from the starting lineup count; pinch-hit appearances are excluded.

Kalshi

Ketel Marte's combined offensive production (hits + runs + RBIs) is measured across multiple thresholds (1+, 2+, 3+, 4+, and 5+) in the AZ vs SF game on June 29, 2026. Settlement requires Marte to be in the starting lineup and record at least one plate appearance. If he is scratched or not in the starting lineup, markets resolve to fair market price. If he starts but does not bat, markets resolve to fair market price. Pinch-hit at-bats do not count toward totals. Once Marte qualifies as a starter with at least one plate appearance, each market settles based on his combined hits, runs, and RBIs, with higher thresholds requiring proportionally more combined production to resolve affirmatively.

Frequently asked questions

The dashboard on Kalshi tracks real-time odds and historical price movements for the Dodgers-Athletics home run market. You can monitor current implied probabilities, view 24-hour trading volume, and observe how the odds have shifted since the market opened. This display reflects live trader positioning and consensus expectations around total home runs in the matchup. The interface also shows cumulative liquidity in the Dodgers-Athletics home run market, helping you gauge depth and volatility at a glance.

Prediction market odds and sportsbook odds often diverge because they serve different audiences and use different pricing models. Sportsbooks set lines to balance action and manage risk, while prediction markets like this one are priced by traders betting real money on outcomes they believe will occur. This market aggregates decentralized trader conviction, which can lead to sharper or earlier price discovery than traditional sportsbooks, especially as new information emerges closer to game time. Comparing the two can reveal where public opinion and professional oddsmakers disagree.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell 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 collective bids and asks from all active participants, updating continuously as new trades execute. Liquidity and trading volume influence how tightly the bid-ask spread trades, and larger positions may move prices more significantly. Your entry and exit prices depend on the current order book depth and the size of your trade.

This market resolves around Jun 30, 2026, once the 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 the matchup. No partial or disputed results affect settlement; only the official final tally matters. Traders holding positions through resolution will see their contracts settled based on whether the actual home run total matches their prediction.

Lineup announcements, injury reports, and bullpen availability can shift expectations around offensive output and thus home run totals. Weather conditions at game time—wind direction and temperature—significantly influence home run likelihood. Recent team performance, head-to-head matchup history, and individual batter form also drive trader positioning. Breaking news about player status or unexpected roster changes can trigger sharp price moves. As game time approaches, real-time developments like weather updates or last-minute roster moves often create volatility in this market.