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Los Angeles A vs Seattle: Hits + Runs + RBIs
kalshi

What is the combined hits, runs, and RBIs total for Los Angeles vs Seattle?

Volume:
$17,266

Denzer Guzman: 1+

 - Kalshi

Denzer Guzman: 1+ - Kalshi

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Vol.

·

Resolved Jul 3, 2026

Closed: Jul 3, 12:29 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

Denzer Guzman: 1+

View
100%
Yes 100¢No 0¢
100¢
N/A
$262
N/A
N/A
$171
Settled
Yes
kalshi

Cal Raleigh: 1+

100%
Yes 100¢No 0¢
100¢
N/A
$224
N/A
N/A
$146
Settled
Yes
kalshi

Randy Arozarena: 1+

100%
Yes 100¢No 0¢
100¢
N/A
$214
N/A
N/A
$142
Settled
Yes
kalshi

J.P. Crawford: 2+

100%
Yes 100¢No 0¢
100¢
N/A
$140
N/A
N/A
$140
Settled
Yes
kalshi

Nolan Schanuel: 1+

100%
Yes 100¢No 0¢
100¢
N/A
$26
N/A
N/A
$18
Settled
Yes
kalshi

Nolan Schanuel: 2+

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

J.P. Crawford: 1+

100%
Yes 100¢No 0¢
100¢
N/A
$12
N/A
N/A
$11
Settled
Yes
kalshi

Jorge Soler: 1+

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

Julio Rodríguez: 4+

0%
Yes 0¢No 100¢
100¢
N/A
$2,162
N/A
N/A
$2,162
Settled
No
kalshi

Nolan Schanuel: 3+

0%
Yes 0¢No 100¢
100¢
N/A
$1,522
N/A
N/A
$1,522
Settled
No
kalshi

Julio Rodríguez: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$1,485
N/A
N/A
$1,263
Settled
No
kalshi

Julio Rodríguez: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$1,312
N/A
N/A
$1,197
Settled
No
kalshi

Cal Raleigh: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$1,058
N/A
N/A
$1,058
Settled
No
kalshi

Cal Raleigh: 3+

0%
Yes 0¢No 100¢
100¢
N/A
$1,038
N/A
N/A
$1,031
Settled
No
kalshi

Zach Neto: 3+

0%
Yes 0¢No 100¢
100¢
N/A
$909
N/A
N/A
$879
Settled
No
kalshi

Zach Neto: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$767
N/A
N/A
$767
Settled
No
kalshi

Jo Adell: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$731
N/A
N/A
$731
Settled
No
kalshi

Josh Naylor: 5+

0%
Yes 0¢No 100¢
100¢
N/A
$725
N/A
N/A
$725
Settled
No
kalshi

Julio Rodríguez: 3+

0%
Yes 0¢No 100¢
100¢
N/A
$536
N/A
N/A
$536
Settled
No
kalshi

Randy Arozarena: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$395
N/A
N/A
$395
Settled
No
kalshi

Zach Neto: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$348
N/A
N/A
$341
Settled
No
kalshi

Josh Lowe: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$328
N/A
N/A
$323
Settled
No
kalshi

Randy Arozarena: 3+

0%
Yes 0¢No 100¢
100¢
N/A
$295
N/A
N/A
$295
Settled
No
kalshi

Jo Adell: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$283
N/A
N/A
$283
Settled
No
kalshi

Cole Young: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$256
N/A
N/A
$256
Settled
No
Total markets: 25 of 86

Description

This event combines three offensive statistics—hits, runs scored, and RBIs—into a single cumulative total for individual players during the Los Angeles Angels versus Seattle Mariners game on July 2, 2026.

Kalshi

Settlement is based on the combined total of hits, runs scored, and RBIs recorded by each player during their at-bats in the game. Players must be in the starting lineup and record at least one plate appearance for the market to settle on actual performance; pinch-hit appearances do not count. If a player is scratched, not in the starting lineup, or starts but does not bat, the market resolves to fair market price.

Frequently asked questions

On Kalshi, the MLB combined stats market dashboard tracks real-time odds and historical price movement for the combined hits, runs, and RBIs outcome between Los Angeles and Seattle. The interface displays current market pricing, 24-hour trading volume of $16,986, and cumulative liquidity across all positions. Traders use this data to monitor how the prediction market is pricing the likelihood of specific combined statistical thresholds being reached during the game. The dashboard updates continuously as new trades execute, allowing participants to observe shifting sentiment and adjust their positions accordingly throughout the trading window.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and manage risk, while prediction markets aggregate the collective beliefs of traders who have real capital at stake. This market's odds may lead or lag sportsbook lines depending on information flow and trader conviction. Comparing the two can reveal where the crowd on Kalshi sees edge relative to traditional betting markets, though both ultimately aim to price the same underlying event. Neither is inherently more accurate, but their differences highlight where consensus may be shifting.

On Kalshi, this market is priced through continuous order-book trading, where buyers and sellers submit bids and offers that determine the real-time odds. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Prices reflect the marginal trade—the last executed transaction—and move as new information or trader sentiment emerges. Each outcome (hit/run/RBI threshold ranges) has its own contract, and the sum of all outcome probabilities typically approaches 100 percent, accounting for the platform's fee structure. Traders can enter or exit positions at any time before the market closes, and the depth of the order book influences how easily large trades can be executed without significant price slippage.

This market resolves around Jul 3, 2026, once the Los Angeles versus Seattle game concludes and final statistics are available. The outcome is confirmed when the combined hits, runs, and RBIs are verified against credible public sources, typically official MLB records or major sports data providers. Traders holding positions in the winning outcome receive their payout, while losing positions expire worthless. The exact resolution time depends on game completion and data verification, so participants should monitor for any delays due to extra innings or other circumstances.

Key injury announcements, lineup changes, or weather updates affecting either team can shift trader expectations about offensive output and move prices significantly. Strong recent performance by either team's hitters or pitchers may prompt position adjustments as participants reassess the likelihood of hitting statistical thresholds. Trades involving star players or bullpen depth could also influence perceived run-scoring potential. Real-time game events—early runs, momentum swings, or pitcher changes—will drive intra-game repricing as traders update their forecasts based on live action. Breaking news about player availability or field conditions closer to game time may trigger sharp moves in this market.