TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 23, 7:54 PM EST
Kalshi
This market tracks which team will win the Houston Astros versus Toronto Blue Jays MLB game scheduled for June 23, 2026 at 4:07 PM EDT. Across Kalshi and Predict, the consensus probability for Toronto winning stands at 92.0%. The aggregated view combines pricing from both platforms using the official game result as the resolution source. Watch for any roster changes or injury announcements in the days leading up to the June 23 game start time, as these could shift market expectations.
The event concerns a professional baseball game between Houston and Toronto originally scheduled for June 23, 2026 at 4:07 PM EDT. Each market resolves to Yes if its respective team wins the game. If the game is postponed or delayed, markets remain open and close after the rescheduled game concludes within two days. Should the game be cancelled or rescheduled more than two days away, markets resolve to a fair price in accordance with standard resolution procedures.
In the upcoming MLB game between the Houston Astros and Toronto Blue Jays, scheduled for June 23 at 4:07PM ET: This market will resolve to "Houston Astros" if the Houston Astros win the game. This market will resolve to "Toronto Blue Jays" if the Toronto Blue Jays 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 may show different odds on the same matchup for several reasons. 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 distinct trader demographics, liquidity pools, and fee structures, which influence how quickly prices adjust to new information. Market depth and recent trading activity also vary between venues, meaning one platform may react faster to breaking news or injury reports. Monitoring both prices helps you identify arbitrage opportunities and understand which platform's trader base is most confident in a particular outcome.
Several catalysts could shift odds significantly before this market resolves. Key player injuries, roster changes, or unexpected trades involving either team would likely trigger sharp price movement. Recent team performance, head-to-head matchup history, and home-field advantage also influence trader positioning. Weather conditions, lineup announcements closer to game day, and broader betting market trends can all accelerate repricing. Monitoring team news feeds and sports injury reports will help you anticipate moves in this market before they're fully reflected in the odds.