TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 25, 6:44 PM EST
Kalshi
This market tracks the outcome of the MLB game between the Oakland Athletics and San Francisco Giants. Across Kalshi and Predict, the consensus probability that the A's win stands at 68.0%, with San Francisco at 31.0%. The market resolves based on the official result of the professional baseball game scheduled for June 25, 2026 at 3:45 PM EDT. Watch for any postponements or schedule changes announced before the game's start time on June 25, 2026.
The event concerns the A's vs San Francisco professional baseball game originally scheduled for June 25, 2026 at 3:45 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, the relevant markets remain open and close after the rescheduled game concludes, provided the reschedule occurs within two days of the original date. Should the game be cancelled entirely or rescheduled to more than two days after the original date, the markets will resolve to a fair price determined in accordance with established resolution procedures.
In the upcoming MLB game between the Athletics and San Francisco Giants, scheduled for June 25 at 3:45PM ET: This market will resolve to "Athletics" if the Athletics win the game. This market will resolve to "San Francisco Giants" if the San Francisco Giants win the game. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, or ends in a tie, this market will resolve 50-50. The primary resolution source for this market is the official final statistics of the event as recognized by the governing body or event organizers. However, if the governing body or event organizers have not published final match statistics within 24 hours after the event's conclusion, a consensus of credible reporting may be used instead.
Kalshi and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform attracts different trader demographics, liquidity pools, and fee structures, all of which influence price discovery. Kalshi and Predict may weight recent team performance, injury reports, or public sentiment differently based on their user base's composition. Arbitrage opportunities sometimes emerge when one platform lags in incorporating new information. Monitoring both prices helps you identify temporary mispricings and understand which factors each community is prioritizing as the matchup unfolds.
Key catalysts include injury announcements, lineup changes, recent team performance streaks, and head-to-head historical matchups. Public betting trends and sharp money flow can also shift odds significantly if one side attracts heavy action. Weather forecasts, travel delays, or last-minute roster decisions often trigger volatility in the final hours. Media narratives and expert predictions may sway casual traders, while institutional activity can signal informed positioning. Monitoring sports news outlets and team social media alongside this market gives you early warning of moves before prices fully adjust.