TOTAL VOLUME:

$134.1b

24H VOL:

$113,466,932

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,423,222,590

402,751

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30,217

events

MATCHED EVENTS:

2,632

PLATFORM COVERAGE:

5

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Boston vs New York M: RBIs
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Who will have more RBIs: Francisco Lindor or Juan Soto?

Volume:
$72

Juan Soto: 1+

 - Kalshi

Juan Soto: 1+ - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 11, 2026

Closed: Jul 10, 11:01 PM 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

Juan Soto: 1+

View
100%
Yes 100¢No 0¢
100¢
N/A
$55
N/A
N/A
$43
Settled
Yes
kalshi

Francisco Lindor: 1+

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

Juan Soto: 2+

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

Francisco Lindor: 2+

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
Settled
No
kalshi

Juan Soto: 3+

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 5

Description

This event measures the number of runs batted in (RBIs) by Francisco Lindor and Juan Soto during the Boston vs New York Mets game on July 10, 2026. An RBI is credited when a batter's action results in a runner scoring.

Kalshi

Settlement is based on RBIs recorded by each player during the game. Players must be in the starting lineup and record at least one plate appearance for the market to settle on actual performance; otherwise, it resolves to fair market price. Pinch-hit at-bats do not count toward the total. If a player is scratched or not included in the starting lineup, or starts but does not record a plate appearance, the market resolves to fair market price.

Frequently asked questions

On Kalshi, the Boston vs New York RBIs market dashboard tracks real-time odds and price movements for this matchup's run-batted-in outcome. The interface displays current market pricing, historical price charts, and 24-hour trading volume of $72 to help traders monitor sentiment shifts. This market aggregates trader positions and order flow, reflecting collective expectations about which team will accumulate more RBIs during the game. The dashboard updates continuously as new trades execute, allowing you to spot momentum changes and compare current prices to earlier levels throughout the trading session.

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 like this one are driven by trader conviction and real-money positions. Prediction markets typically incorporate breaking news and sentiment shifts faster than traditional sportsbooks adjust their lines. For this event, comparing the current prediction market price to major sportsbook offerings can reveal whether traders are pricing in information the books haven't yet reflected, making the comparison useful for identifying potential value or consensus shifts.

On Kalshi, this market is priced through a continuous order book where traders buy and sell shares representing each outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Prices range from 0 to 100 cents, with each cent representing a 1% implied probability. When you place an order, it either matches against existing bids and asks or sits in the book awaiting a counterparty. The spread between buy and sell prices tightens as volume increases, and the last-traded price serves as the reference point for current market sentiment on which team will record more RBIs.

This market resolves around Jul 11, 2026, once the game concludes and final statistics are available. The outcome is determined by comparing the total RBIs recorded by each team, with the result verified against credible public sources such as official league records or major sports data providers. Traders should monitor the game closely as it unfolds, since late-inning developments can shift the final tally significantly. Resolution typically occurs within hours of game completion once the official statistics are confirmed and published.

Key lineup announcements, injury updates, and weather conditions can shift trader expectations before first pitch. During the game itself, early scoring runs, pitcher changes, and momentum swings will drive real-time price movement as traders adjust their positions based on unfolding action. Trades by informed participants who spot statistical edges or have strong conviction about team performance often trigger sharp moves. Late-inning developments—such as a team's offensive surge or defensive collapse—typically generate the most volatile price action as traders reassess the final RBI differential in the closing moments.