TOTAL VOLUME:

$134.2b

24H VOL:

$126,324,530

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,434,646,834

406,019

Markets across

30,401

events

MATCHED EVENTS:

2,689

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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New York M vs San Diego
kalshi

New York M vs San Diego

Volume:
$4,782,154

New York M

 - Kalshi

New York M - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 7, 2026

Closed: Jun 7, 7:14 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

New York M

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,503,960
N/A
N/A
$830,612
Settled
Yes
kalshi

San Diego

0%
Yes 0¢No 100¢
100¢
N/A
$3,278,194
N/A
N/A
$2,014,662
Settled
No
Total markets: 2

Intro

This market tracks whether New York M will defeat San Diego in their scheduled professional baseball matchup. On Kalshi, New York M winning is priced at 99.0%, while San Diego winning stands at 1.0%. The market resolves according to the official result of the game as played on June 7, 2026 at 4:10 PM EDT. Watch for the completion of this contest on the scheduled date to determine the final outcome.

Frequently asked questions

The PredictionHero dashboard tracks real-time odds and trading activity for the New York M vs San Diego event on Kalshi. You can monitor live price movements, historical odds charts, and 24-hour trading volume to understand how the market is pricing each outcome. The dashboard displays current market consensus, recent trades, and liquidity depth, helping you see where predictors are placing capital and how sentiment has shifted over time. This single-venue view gives you direct insight into Kalshi's order book and participant positioning for this matchup.

Prediction market odds on Kalshi often diverge from traditional sportsbook lines because they reflect real-money positions from a different participant base and market structure. Sportsbooks set odds to balance liability and extract margin, while prediction markets aggregate beliefs from traders with direct financial incentive to forecast accurately. For New York M vs San Diego, comparing Kalshi odds to major sportsbooks can reveal whether professional bettors and prediction market traders agree on the likely outcome. Significant gaps may signal mispricing or different risk assessments between venues.

On Kalshi, New York M vs San Diego is priced as a binary contract reflecting the probability of the specified outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Prices range from $0 to $1, where each cent reflects a 1% implied probability. Traders buy contracts if they believe the outcome is more likely than the market price suggests, and sell if they think it is less likely. Kalshi's order book aggregates all buy and sell interest, and the last traded price serves as the live market quote. Volume and bid-ask spreads on Kalshi indicate liquidity and conviction among participants.

The New York M vs San Diego market resolves on Jun 7, 2026. Resolution is determined by the official result of the matchup as recorded by the relevant league or governing body. Once the event concludes and the outcome is confirmed, the market settles automatically, and traders' positions are credited or debited based on whether their contracts matched the final result. Early resolution may occur if the event is cancelled or postponed under specific conditions outlined in the market terms.

Key catalysts for New York M vs San Diego include team roster changes, injuries to star players, recent form and head-to-head records, weather conditions on game day, and public betting trends. Coaching decisions, lineup announcements, and pre-game commentary from analysts can shift market sentiment rapidly. Breaking news about player availability or team strategy often triggers sharp price moves on Kalshi. Additionally, movement in related markets—such as season standings or playoff odds—may indirectly influence how traders price this individual matchup as new information emerges.