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2,388,728,490

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$1,416,970,024

400,720

Markets across

30,097

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2,633

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Sports
New York M vs Atlanta: Home Runs
kalshi

How many home runs will be hit in New York Mets vs Atlanta Braves?

Volume:
$94,244

Matt Olson: 1+

 - Kalshi

Matt Olson: 1+ - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 4, 2026

Closed: Jul 3, 10:01 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

Matt Olson: 1+

View
100%
Yes 100¢No 0¢
100¢
N/A
$24,197
N/A
N/A
$22,203
Settled
Yes
kalshi

Juan Soto: 1+

100%
Yes 100¢No 0¢
100¢
N/A
$20,865
N/A
N/A
$18,477
Settled
Yes
kalshi

Ozzie Albies: 1+

100%
Yes 100¢No 0¢
100¢
N/A
$4,594
N/A
N/A
$4,460
Settled
Yes
kalshi

Matt Olson: 2+

100%
Yes 100¢No 0¢
100¢
N/A
$2,617
N/A
N/A
$2,558
Settled
Yes
kalshi

Michael Harris: 1+

100%
Yes 100¢No 0¢
100¢
N/A
$2,477
N/A
N/A
$2,015
Settled
Yes
kalshi

Austin Riley: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$6,911
N/A
N/A
$6,866
Settled
No
kalshi

Jared Young: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$4,698
N/A
N/A
$4,694
Settled
No
kalshi

Mike Yastrzemski: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$4,318
N/A
N/A
$4,140
Settled
No
kalshi

Francisco Lindor: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$3,805
N/A
N/A
$3,805
Settled
No
kalshi

A.J. Ewing: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$2,965
N/A
N/A
$2,947
Settled
No
kalshi

Carson Benge: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$2,533
N/A
N/A
$2,533
Settled
No
kalshi

Bo Bichette: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$2,530
N/A
N/A
$2,530
Settled
No
kalshi

Francisco Alvarez: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$2,109
N/A
N/A
$2,109
Settled
No
kalshi

Juan Soto: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$1,830
N/A
N/A
$1,792
Settled
No
kalshi

Brett Baty: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$1,309
N/A
N/A
$1,308
Settled
No
kalshi

Mauricio Dubón: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$1,227
N/A
N/A
$1,207
Settled
No
kalshi

Bo Bichette: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$1,170
N/A
N/A
$1,170
Settled
No
kalshi

Drake Baldwin: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$1,165
N/A
N/A
$1,159
Settled
No
kalshi

Ozzie Albies: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$886
N/A
N/A
$885
Settled
No
kalshi

Dominic Smith: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$855
N/A
N/A
$855
Settled
No
kalshi

Luis Torrens: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$593
N/A
N/A
$593
Settled
No
kalshi

Jorge Mateo: 1+

0%
Yes 0¢No 100¢
100¢
N/A
$335
N/A
N/A
$334
Settled
No
kalshi

Michael Harris: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$209
N/A
N/A
$198
Settled
No
kalshi

Dominic Smith: 2+

0%
Yes 0¢No 100¢
100¢
N/A
$47
N/A
N/A
$47
Settled
No
kalshi

Francisco Lindor: 2+

N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 25 of 36

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 home runs hit by each player during the game.

Kalshi

If Francisco Lindor records 1+ home runs in New York M vs Atlanta professional baseball game originally scheduled for Jul 3, 2026 at 7:15 PM EDT, then the market resolves to Yes. If Francisco Lindor records 2+ home runs in New York M vs Atlanta professional baseball game originally scheduled for Jul 3, 2026 at 7:15 PM EDT, then the market resolves to Yes. If Juan Soto records 1+ home runs in New York M vs Atlanta professional baseball game originally scheduled for Jul 3, 2026 at 7:15 PM EDT, then the market resolves to Yes. If Juan Soto records 2+ home runs in New York M vs Atlanta professional baseball game originally scheduled for Jul 3, 2026 at 7:15 PM EDT, then the market resolves to Yes. If Matt Olson records 1+ home runs in New York M vs Atlanta professional baseball game originally scheduled for Jul 3, 2026 at 7:15 PM EDT, then the market resolves to Yes. If Matt Olson records 2+ home runs in New York M vs Atlanta professional baseball game originally scheduled for Jul 3, 2026 at 7:15 PM EDT, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Mets-Braves home runs market displays real-time odds and price movements as traders buy and sell shares tied to home run outcomes in this matchup. You can monitor the current probability of each outcome, view 24-hour trading volume, and track how sentiment shifts as game time approaches. The interface shows historical price data, allowing you to identify trends and volatility patterns. This live tracking helps traders make informed decisions based on how the market is pricing the likelihood of different home run scenarios between the two teams.

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 aggregate the collective beliefs of traders risking real capital on outcomes. This market aggregates trader conviction through continuous price discovery, which can reveal edge over traditional sportsbook pricing. Comparing the two can highlight where public perception on home run totals may differ from professional oddsmakers, offering traders a lens into market inefficiencies and alternative viewpoints on game dynamics.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares representing each home run outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each share reflects the aggregate probability assigned by the market; higher prices indicate stronger trader conviction in that outcome. As new information emerges—lineup changes, weather updates, or injury reports—traders adjust their positions, moving prices in real time. This dynamic pricing model ensures the market continuously incorporates fresh signals and trader sentiment throughout the pre-game and live windows.

This market resolves around Jul 4, 2026, once the game concludes and the final home run count is confirmed. The outcome is verified against credible public sources to ensure accuracy. Until that point, traders can adjust positions as the game unfolds and new data becomes available. Resolution timing depends on when official statistics are published and validated, which typically occurs shortly after the final out. Early resolution is possible if the outcome becomes mathematically certain before the game ends.

Several catalysts can shift prices in this market before resolution. Lineup announcements, roster changes, or injury updates to key power hitters will influence trader expectations. Weather conditions—wind speed and direction, temperature, and humidity—significantly affect home run distance and frequency. Pitching matchups and bullpen availability can alter game flow and scoring opportunities. Recent performance trends, such as a team's home run rate over their last ten games, provide momentum signals. Real-time game developments like early scoring, pitcher changes, or momentum swings will prompt traders to reassess probabilities and adjust their positions accordingly.