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 28, 6:34 PM EST
Kalshi
This event group covers a single MLB game between the Atlanta Braves and San Francisco Giants scheduled for June 28, 2026 at 4:05 PM ET. Both platforms are pricing the same underlying match outcome, with resolution tied to which team wins the game.
This event covers the Atlanta vs San Francisco professional baseball game originally scheduled for June 28, 2026 at 4:05 PM EDT. Resolution is determined by the final result of the game, with separate markets for each team's victory. If the game is postponed or delayed, the market remains open and closes after the rescheduled game concludes within two days. Should the game be cancelled or rescheduled to more than two days away, the market resolves to a fair price in accordance with established rules.
In the upcoming MLB game between the Atlanta Braves and San Francisco Giants, scheduled for June 28 at 4:05PM ET: This market will resolve to "Atlanta Braves" if the Atlanta Braves 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 pricing. Kalshi may draw more casual forecasters, while Predict appeals to professional traders seeking tighter spreads. Order flow timing, platform-specific rules, and varying access to information can also create temporary gaps. These differences are normal and often arbitraged away quickly by alert traders. Monitoring both venues helps you spot mispricings and understand where the broader market truly stands on this matchup.
Key injury announcements, lineup changes, or roster updates can shift odds significantly in either direction. Recent team performance, head-to-head records, and momentum heading into the matchup often trigger repricing. Weather conditions, home-field advantage factors, and public betting patterns may also influence trader positioning. Breaking news about player availability or coaching decisions typically sparks rapid market movement. Monitor sports news outlets and team social channels for developments that could reshape expectations before the event concludes.