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Baltimore vs Los Angeles D: Total Bases
kalshi

Baltimore vs Los Angeles D: Total Bases

Volume:
$19,411

Andy Pages: 2+

 - Kalshi

Andy Pages: 2+ - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 20, 2026

Closed: Jun 20, 2:10 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

Andy Pages: 2+

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,851
N/A
N/A
$1,818
Settled
Yes
kalshi

Pete Alonso: 3+

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,102
N/A
N/A
$1,102
Settled
Yes
kalshi

Mookie Betts: 2+

View
100%
Yes 100¢No 0¢
100¢
N/A
$625
N/A
N/A
$473
Settled
Yes
kalshi

Pete Alonso: 2+

View
100%
Yes 100¢No 0¢
100¢
N/A
$427
N/A
N/A
$427
Settled
Yes
kalshi

Mookie Betts: 5+

View
100%
Yes 100¢No 0¢
100¢
N/A
$311
N/A
N/A
$180
Settled
Yes
kalshi

Mookie Betts: 4+

View
100%
Yes 100¢No 0¢
100¢
N/A
$289
N/A
N/A
$252
Settled
Yes
kalshi

Gunnar Henderson: 3+

View
100%
Yes 100¢No 0¢
100¢
N/A
$237
N/A
N/A
$237
Settled
Yes
kalshi

Mookie Betts: 3+

View
100%
Yes 100¢No 0¢
100¢
N/A
$205
N/A
N/A
$199
Settled
Yes
kalshi

Gunnar Henderson: 2+

View
100%
Yes 100¢No 0¢
100¢
N/A
$204
N/A
N/A
$204
Settled
Yes
kalshi

Pete Alonso: 4+

View
100%
Yes 100¢No 0¢
100¢
N/A
$83
N/A
N/A
$83
Settled
Yes
kalshi

Alex Freeland: 2+

View
100%
Yes 100¢No 0¢
100¢
N/A
$46
N/A
N/A
$46
Settled
Yes
kalshi

Tommy Edman: 2+

View
100%
Yes 100¢No 0¢
100¢
N/A
$32
N/A
N/A
$32
Settled
Yes
kalshi

Tommy Edman: 3+

View
100%
Yes 100¢No 0¢
100¢
N/A
$14
N/A
N/A
$14
Settled
Yes
kalshi

Tommy Edman: 4+

View
100%
Yes 100¢No 0¢
100¢
N/A
$14
N/A
N/A
$14
Settled
Yes
kalshi

Gunnar Henderson: 4+

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

Shohei Ohtani: 2+

View
53%
Yes 53¢No 47¢
100¢
N/A
$3,547
N/A
N/A
$3,547
Settled
No
kalshi

Shohei Ohtani: 3+

View
39%
Yes 39¢No 61¢
100¢
N/A
$1,529
N/A
N/A
$1,529
Settled
No
kalshi

Shohei Ohtani: 4+

View
36%
Yes 36¢No 64¢
100¢
N/A
$74
N/A
N/A
$74
Settled
No
kalshi

Shohei Ohtani: 5+

View
19%
Yes 19¢No 81¢
100¢
N/A
$305
N/A
N/A
$305
Settled
No
kalshi

Shohei Ohtani: 6+

View
14%
Yes 14¢No 86¢
100¢
N/A
$104
N/A
N/A
$104
Settled
No
kalshi

Max Muncy: 2+

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,382
N/A
N/A
$1,275
Settled
No
kalshi

Freddie Freeman: 2+

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,193
N/A
N/A
$1,164
Settled
No
kalshi

Kyle Tucker: 2+

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,151
N/A
N/A
$1,140
Settled
No
kalshi

Andy Pages: 3+

View
0%
Yes 0¢No 100¢
100¢
N/A
$873
N/A
N/A
$873
Settled
No
kalshi

Ryan Ward: 2+

View
0%
Yes 0¢No 100¢
100¢
N/A
$703
N/A
N/A
$703
Settled
No
Total markets: 25 of 79

Description

This event tracks individual player performance in total bases during the Baltimore vs Los Angeles Dodgers game on June 19, 2026. Total bases are calculated by counting singles as 1, doubles as 2, triples as 3, and home runs as 4, providing a measure of offensive productivity.

Kalshi

Settlement is based on each player's total bases recorded during the game, contingent on their participation status. Players must be in the starting lineup and record at least one plate appearance for the market to settle on actual performance. If a player is scratched or not included in the starting lineup, the market resolves to fair market price. Players who enter the game as pinch hitters do not count toward the market. If a starting player does not record a plate appearance, the market also resolves to fair market price. Total bases are accumulated from all at-bats during the game.

Frequently asked questions

On Kalshi, the Baltimore-Los Angeles total bases market dashboard displays real-time odds and historical price movements for this prediction market. The interface tracks the current probability estimate alongside 24-hour trading volume and cumulative liquidity. Traders use this data to monitor how market sentiment shifts as game conditions evolve. The dashboard provides a transparent view of how participants are pricing the likelihood of different total bases outcomes, helping both casual observers and active traders stay informed about consensus expectations leading up to the event.

Prediction market odds and sportsbook odds often diverge because they reflect different pricing mechanisms and participant bases. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets like this one aggregate trader beliefs through continuous price discovery. This market's odds may lead or lag sportsbook lines depending on information flow and trader conviction. Comparing the two can reveal where professional oddsmakers and decentralized traders disagree, offering insights into which side holds stronger conviction about total bases outcomes.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares representing different total bases outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each share's price reflects the collective probability estimate of all active traders at any given moment. As new information emerges—injury reports, lineup changes, or weather updates—traders adjust their positions, moving prices in real time. This dynamic pricing ensures the market continuously incorporates the latest signals and reflects evolving expectations about how many total bases will be recorded in the Baltimore-Los Angeles matchup.

This market resolves around Jun 20, 2026, once the game concludes and the final total bases count is confirmed. The outcome is verified against credible public sources to ensure accuracy and fairness. Traders holding positions aligned with the verified result receive payouts, while those on the incorrect side lose their stake. The resolution process is designed to be transparent and objective, reflecting the actual statistical outcome of the event rather than subjective interpretation.

Several catalysts can shift this market significantly before Jun 20, 2026. Lineup announcements—particularly confirmations or injuries involving key power hitters—often trigger sharp price moves. Weather forecasts matter too; wind direction and temperature affect ball carry distance and overall offensive output. Pitching matchups and bullpen availability can influence scoring pace and total bases accumulation. Breaking news about player health, trades, or unexpected roster changes may also prompt rapid repricing. Traders monitor these developments closely to adjust positions ahead of the game.