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%

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New York M vs Atlanta
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Who will win New York M vs Atlanta?

Volume:
$8,103,202

New York M

 - Kalshi

New York M - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 5, 2026

Closed: Jul 5, 5:24 PM EST

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Kalshi

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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

New York M

View
100%
Yes 100¢No 0¢
100¢
N/A
$2,794,607
N/A
N/A
$1,323,645
Settled
Yes
kalshi

Atlanta

0%
Yes 0¢No 100¢
100¢
N/A
$5,308,594
N/A
N/A
$2,427,767
Settled
No
Total markets: 2

Intro

This market tracks whether the New York Mets will defeat the Atlanta Braves in their scheduled professional baseball matchup. On Kalshi, the probability of a New York Mets victory stands at 74.0%, while an Atlanta Braves win is at 27.0%. The market resolves according to the official result of the game originally scheduled for July 5, 2026 at 12:30 PM EDT. Watch for any roster changes, injuries, or weather updates in the days leading up to the first pitch on July 5, 2026.

Kalshi

This event resolves based on the outcome of the New York Mets vs Atlanta Braves professional baseball game originally scheduled for July 5, 2026 at 12:30 PM EDT. Each team has a corresponding market that resolves to Yes if that team wins the game. If the game is postponed or delayed, markets remain open and close after the rescheduled game concludes, provided the reschedule occurs within two days of the original date. If the game is cancelled entirely or rescheduled to more than two days after the original date, markets resolve to a fair price in accordance with standard resolution procedures.

Frequently asked questions

On Kalshi, the dashboard for the New York M vs Atlanta matchup displays real-time odds and price movements as traders buy and sell shares tied to the outcome. You can monitor the current implied probability, historical price charts, and 24-hour trading volume to see how market sentiment shifts leading up to the event. This live data helps you understand whether traders are favoring one side or expect a close contest, giving you a transparent view of collective prediction activity on this specific matchup.

Prediction market odds and sportsbook odds often diverge because they serve different purposes and operate under different constraints. Sportsbooks set odds to balance action and manage risk, while prediction markets reflect pure trader belief without the same profit-margin requirements. This market's odds may move faster or more dramatically in response to breaking news, injury reports, or late-breaking analysis. Comparing the two can reveal where professional bettors and casual traders disagree on the likely outcome.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares representing each 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 collective confidence in that outcome, ranging from near-zero to near-100 cents. As new information emerges or sentiment shifts, traders adjust their orders, and the price updates in real time. This transparent, peer-to-peer pricing model ensures that odds reflect the latest available evidence and trader conviction.

This market resolves around Jul 5, 2026, once the matchup concludes and the result is verifiable from credible public sources. The outcome will be confirmed based on the official final score and result of the event. Until that point, prices will fluctuate as traders update their expectations based on team news, performance trends, and other relevant signals. Resolution is automatic once the event is complete and the winner is publicly confirmed.

Key player injuries, roster changes, or unexpected trades could significantly shift trader sentiment in either direction. Recent team performance, head-to-head records, and momentum heading into the matchup often drive price movement. Weather conditions, home-field advantage, and coaching decisions announced closer to game day may also influence odds. Breaking news about team dynamics, disciplinary issues, or strategic adjustments typically triggers rapid repricing as traders reassess win probability and adjust their positions accordingly.