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Los Angeles A vs Seattle: Home Runs
kalshi

Los Angeles A vs Seattle: Home Runs

Volume:
$116,918

Cole Young: 1+

 - Kalshi

Cole Young: 1+ - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 30, 2026

Closed: Jun 30, 12:00 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

Cole Young: 1+

View
100%
Yes 100¢No 0¢
100¢
N/A
$4,871
N/A
N/A
$3,856
Settled
Yes
kalshi

Dominic Canzone: 1+

View
100%
Yes 100¢No 0¢
100¢
N/A
$3,267
N/A
N/A
$3,107
Settled
Yes
kalshi

Cole Young: 2+

View
100%
Yes 100¢No 0¢
100¢
N/A
$2,298
N/A
N/A
$1,913
Settled
Yes
kalshi

Zach Neto: 1+

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,908
N/A
N/A
$1,545
Settled
Yes
kalshi

Cal Raleigh: 1+

View
0%
Yes 0¢No 100¢
100¢
N/A
$39,546
N/A
N/A
$38,496
Settled
No
kalshi

Julio Rodríguez: 1+

View
0%
Yes 0¢No 100¢
100¢
N/A
$13,170
N/A
N/A
$12,885
Settled
No
kalshi

Randy Arozarena: 1+

View
0%
Yes 0¢No 100¢
100¢
N/A
$8,373
N/A
N/A
$8,366
Settled
No
kalshi

J.P. Crawford: 1+

View
0%
Yes 0¢No 100¢
100¢
N/A
$7,677
N/A
N/A
$7,499
Settled
No
kalshi

Jo Adell: 1+

View
0%
Yes 0¢No 100¢
100¢
N/A
$5,519
N/A
N/A
$5,269
Settled
No
kalshi

Colt Emerson: 1+

View
0%
Yes 0¢No 100¢
100¢
N/A
$5,432
N/A
N/A
$5,432
Settled
No
kalshi

Josh Naylor: 1+

View
0%
Yes 0¢No 100¢
100¢
N/A
$4,270
N/A
N/A
$3,927
Settled
No
kalshi

Cal Raleigh: 2+

View
0%
Yes 0¢No 100¢
100¢
N/A
$3,608
N/A
N/A
$3,603
Settled
No
kalshi

Nolan Schanuel: 1+

View
0%
Yes 0¢No 100¢
100¢
N/A
$2,457
N/A
N/A
$2,457
Settled
No
kalshi

Josh Lowe: 1+

View
0%
Yes 0¢No 100¢
100¢
N/A
$2,287
N/A
N/A
$2,286
Settled
No
kalshi

Julio Rodríguez: 2+

View
0%
Yes 0¢No 100¢
100¢
N/A
$2,193
N/A
N/A
$2,193
Settled
No
kalshi

Victor Robles: 1+

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,566
N/A
N/A
$1,543
Settled
No
kalshi

Jorge Soler: 1+

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,461
N/A
N/A
$1,460
Settled
No
kalshi

Denzer Guzman: 1+

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,245
N/A
N/A
$1,243
Settled
No
kalshi

Colt Emerson: 2+

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,000
N/A
N/A
$1,000
Settled
No
kalshi

J.P. Crawford: 2+

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,000
N/A
N/A
$1,000
Settled
No
kalshi

Josh Naylor: 2+

View
0%
Yes 0¢No 100¢
100¢
N/A
$812
N/A
N/A
$812
Settled
No
kalshi

Randy Arozarena: 2+

View
0%
Yes 0¢No 100¢
100¢
N/A
$755
N/A
N/A
$755
Settled
No
kalshi

Dominic Canzone: 2+

View
0%
Yes 0¢No 100¢
100¢
N/A
$720
N/A
N/A
$720
Settled
No
kalshi

Zach Neto: 2+

View
0%
Yes 0¢No 100¢
100¢
N/A
$615
N/A
N/A
$602
Settled
No
kalshi

Logan O'Hoppe: 1+

View
0%
Yes 0¢No 100¢
100¢
N/A
$300
N/A
N/A
$300
Settled
No
Total markets: 25 of 33

Description

Rafael Devers bats for San Francisco against Arizona 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

Rafael Devers's combined offensive production (hits + runs + RBIs) is measured across multiple thresholds (1+, 2+, 3+, 4+, and 5+) in the SF vs AZ game on June 29, 2026. Settlement requires Devers 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 Devers 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

On Kalshi, the home run betting market dashboard displays real-time odds and price movements for this prediction market centered on home run outcomes in the Los Angeles versus Seattle matchup. The interface tracks current market probability, historical price charts, and trading activity to help you monitor how traders are pricing the event. You can view the latest odds alongside 24-hour volume data, giving you a snapshot of market sentiment and liquidity as game time approaches.

Prediction market odds and sportsbook odds often diverge because they reflect different participant pools and incentive structures. Sportsbooks set lines to balance action and manage risk, while prediction markets aggregate trader beliefs through continuous price discovery. This market may show different implied probabilities than traditional sportsbooks, particularly if informed traders spot value or if public betting patterns differ. Comparing the two can reveal where consensus differs and highlight potential opportunities.

On Kalshi, this market is priced through continuous trading where buyers and sellers set the odds by placing limit and market orders. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price you see reflects the most recent trade, and as new information emerges or sentiment shifts, traders adjust their positions, moving the market up or down. Liquidity and trading volume influence how quickly prices respond to news, so periods of high activity typically produce tighter spreads and faster price adjustments.

This market resolves around Jun 30, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution hinges on the final home run count recorded in the Los Angeles versus Seattle game, verified against official game statistics. Once the game concludes and results are publicly available, the market will settle based on whether the actual home run total matches the predicted threshold.

Several factors can shift odds in this market before it resolves. Lineup announcements, player injuries, weather forecasts, and recent batting performance trends all influence trader expectations around home run production. Trades by informed participants responding to breaking news can trigger rapid repricing. Additionally, as game time nears, updated odds from sportsbooks or shifts in public betting sentiment may prompt traders to adjust positions, causing noticeable swings in market probability.