TOTAL VOLUME:

$134b

24H VOL:

$103,397,351

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,410,176,180

399,592

Markets across

30,097

events

MATCHED EVENTS:

2,622

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Sports
New York M vs Atlanta: Hits + Runs + RBIs
kalshi

What is the result of New York Mets vs Atlanta Braves?

Volume:
$11,722

Juan Soto: 2+

 - Kalshi

Juan Soto: 2+ - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 4, 2026

Closed: Jul 3, 11:30 PM 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

Juan Soto: 2+

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,672
N/A
N/A
$1,304
Settled
Yes
kalshi

Juan Soto: 3+

100%
Yes 100¢No 0¢
100¢
N/A
$1,203
N/A
N/A
$957
Settled
Yes
kalshi

Juan Soto: 1+

100%
Yes 100¢No 0¢
100¢
N/A
$779
N/A
N/A
$590
Settled
Yes
kalshi

Matt Olson: 3+

100%
Yes 100¢No 0¢
100¢
N/A
$748
N/A
N/A
$522
Settled
Yes
kalshi

Matt Olson: 2+

100%
Yes 100¢No 0¢
100¢
N/A
$601
N/A
N/A
$533
Settled
Yes
kalshi

Matt Olson: 1+

100%
Yes 100¢No 0¢
100¢
N/A
$513
N/A
N/A
$330
Settled
Yes
kalshi

Juan Soto: 4+

100%
Yes 100¢No 0¢
100¢
N/A
$429
N/A
N/A
$326
Settled
Yes
kalshi

Michael Harris: 2+

100%
Yes 100¢No 0¢
100¢
N/A
$426
N/A
N/A
$408
Settled
Yes
kalshi

Michael Harris: 3+

100%
Yes 100¢No 0¢
100¢
N/A
$349
N/A
N/A
$179
Settled
Yes
kalshi

Ozzie Albies: 3+

100%
Yes 100¢No 0¢
100¢
N/A
$328
N/A
N/A
$168
Settled
Yes
kalshi

Ozzie Albies: 2+

100%
Yes 100¢No 0¢
100¢
N/A
$250
N/A
N/A
$250
Settled
Yes
kalshi

Matt Olson: 5+

100%
Yes 100¢No 0¢
100¢
N/A
$224
N/A
N/A
$121
Settled
Yes
kalshi

Bo Bichette: 3+

100%
Yes 100¢No 0¢
100¢
N/A
$178
N/A
N/A
$178
Settled
Yes
kalshi

Michael Harris: 5+

100%
Yes 100¢No 0¢
100¢
N/A
$110
N/A
N/A
$110
Settled
Yes
kalshi

Matt Olson: 4+

100%
Yes 100¢No 0¢
100¢
N/A
$79
N/A
N/A
$76
Settled
Yes
kalshi

Brett Baty: 1+

100%
Yes 100¢No 0¢
100¢
N/A
$61
N/A
N/A
$61
Settled
Yes
kalshi

Juan Soto: 5+

100%
Yes 100¢No 0¢
100¢
N/A
$49
N/A
N/A
$46
Settled
Yes
kalshi

Mauricio Dubón: 1+

100%
Yes 100¢No 0¢
100¢
N/A
$34
N/A
N/A
$34
Settled
Yes
kalshi

Luis Torrens: 2+

100%
Yes 100¢No 0¢
100¢
N/A
$24
N/A
N/A
$24
Settled
Yes
kalshi

Michael Harris: 4+

100%
Yes 100¢No 0¢
100¢
N/A
$17
N/A
N/A
$17
Settled
Yes
kalshi

Francisco Alvarez: 2+

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

Francisco Lindor: 1+

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

Francisco Alvarez: 1+

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

Michael Harris: 1+

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

Ozzie Albies: 1+

100%
Yes 100¢No 0¢
100¢
N/A
$9
N/A
N/A
$9
Settled
Yes
Total markets: 25 of 90

Description

Francisco Lindor, Juan Soto, and Matt Olson will compete in the New York Mets vs Atlanta Braves game on July 3, 2026. These markets track the combined total of hits, runs scored, and RBIs for each player, measuring overall offensive production.

Kalshi

Settlement is based on the combined total of hits, runs scored, and 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. 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 these markets. If a starting player does not record a plate appearance, the market resolves to fair market price.

Frequently asked questions

On Kalshi, the Mets vs Braves player stats market dashboard tracks real-time odds and price movements for combined outcomes across hits, runs, and RBIs in this matchup. The interface displays current market pricing, 24-hour volume activity, and historical price trends so traders can monitor how sentiment shifts as game conditions develop. This dashboard lets you see at a glance how the market is valuing different statistical thresholds for the contest, helping you identify trading opportunities before the event concludes.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. 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 may price player stats outcomes differently than traditional sportsbooks, particularly if informed traders spot value that bookmakers have mispriced. Comparing the two can reveal where consensus differs and highlight potential edges for sharp bettors.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell contracts reflecting their beliefs about combined hits, runs, and RBIs outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Prices move in real time as new orders flow in, allowing the market to incorporate breaking news, lineup changes, or injury updates instantly. The spread between bid and ask reflects liquidity and uncertainty; tighter spreads indicate higher confidence and deeper participation, while wider spreads suggest lower conviction or thinner order flow.

This market resolves around Jul 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result will reflect the actual combined performance of the specified players across hits, runs, and RBIs during the game. Once the Mets and Braves game concludes and official statistics are published, the market will settle based on whether the combined totals meet or exceed the thresholds traders wagered on.

Key catalysts include lineup announcements, injury reports, and weather conditions that affect offensive output. A star player being ruled out or a surprise starter entering the order can shift expectations for hits and RBIs significantly. Bullpen depth, recent form, and head-to-head matchups between hitters and pitchers also influence trader positioning. Real-time game events—early runs, strikeouts, or momentum swings—will cause price adjustments as traders update their forecasts based on what unfolds on the field.