TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 4, 3:54 PM EST
Kalshi
This market tracks whether San Diego will defeat Philadelphia in their scheduled professional baseball matchup. On Kalshi, San Diego winning resolves to Yes at 91.0%, while Philadelphia winning resolves to Yes at 10.0%, according to official game results. The resolution source is the outcome of the San Diego vs Philadelphia game originally scheduled for June 4, 2026 at 1:05 PM EDT, which serves as the betting window closing point for this event.
On Kalshi, San Diego vs Philadelphia is priced through continuous order-book trading where contracts for each outcome trade between 0 and 100 cents. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each contract directly reflects its implied probability; a contract trading at 65 cents implies a 65% chance. Traders buy and sell these contracts based on their own forecasts, and the market price adjusts in real time as new information emerges. Kalshi's regulatory framework and transparent pricing make it a reliable venue for observing how prediction market participants value this matchup.
The San Diego vs Philadelphia market resolves on Jun 4, 2026. Resolution is determined by the official result of the game as recorded by the relevant league or governing body. Once the event concludes and the outcome is confirmed, the market settles and winning contracts are paid out at full value while losing contracts expire worthless. Traders should monitor official sources and any platform announcements for final confirmation of the result.
Key catalysts for San Diego vs Philadelphia include player injuries or roster changes, recent team performance and momentum, head-to-head historical records, and any breaking news about coaching decisions or lineup adjustments. Weather conditions on game day, travel factors, and rest advantages can also shift market expectations. Major injuries to star players or unexpected roster moves typically trigger sharp repricing. Real-time updates from team announcements, media reports, and expert analysis will influence trader behavior and cause the market price to fluctuate as new information becomes available.