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%
Closed: Jun 7, 12:40 AM EST
Kalshi
A professional baseball game between two teams scheduled for June 6, 2026 will track individual scoring performance for each team across multiple run thresholds.
Prediction market odds on Kalshi often differ from traditional sportsbook odds because they reflect real-time crowd sentiment rather than fixed lines set by oddsmakers. Sportsbooks adjust for profit margins and manage liability, while prediction markets aggregate trader beliefs directly. For the New York M vs San Diego team total, comparing Kalshi prices to major sportsbooks can reveal whether the crowd is more or less bullish than professional bookmakers on either team's scoring output.
On Kalshi, the New York M vs San Diego team total is priced as a binary contract reflecting whether San Diego will score over 4.5 runs. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current probability is reflected in the contract price, with traders buying or selling based on their expectation of the outcome. As game time approaches and new information emerges, the price adjusts to balance supply and demand, allowing you to enter or exit positions at market rates.
The market resolves on Jun 7, 2026. Resolution is determined by the official final score of the New York M vs San Diego game, specifically whether San Diego's run total meets or exceeds the threshold specified in the contract. Once the game concludes and the final score is confirmed, the outcome is settled and traders' positions are closed based on the result.
Key catalysts include lineup announcements, injury reports for star players, recent offensive and defensive performance trends, weather conditions at game time, and pitching matchup details. Bullpen strength, home-field advantage factors, and head-to-head historical scoring patterns also influence trader expectations. Breaking news about player availability or team strategy can trigger sharp price movements, as can live game developments once play begins, making real-time monitoring valuable for active traders.