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: Jul 9, 11:19 PM EST
Kalshi
This event group covers a July 9, 2026 MLB game between the Los Angeles Angels and Texas Rangers. The Predict platform offers a binary win/loss market, while Kalshi offers team total run thresholds (2+ through 8+ runs for each team). These are fundamentally different market types with incompatible resolution criteria.
The event resolves based on individual team run totals in the Los Angeles Angels vs Texas Rangers professional baseball game scheduled for July 9, 2026 at 8:05 PM EDT. Texas Rangers outcomes resolve to Yes if Texas scores at or above the specified threshold (2, 3, 4, 5, 6, 7, or 8 runs). Los Angeles Angels outcomes resolve to Yes if Los Angeles scores at or above the specified threshold (2, 3, 4, 5, 6, 7, or 8 runs). Each team's final official score at the end of the complete game determines whether their respective markets resolve Yes or No.
In the upcoming MLB game between the Los Angeles Angels and Texas Rangers, scheduled for July 9 at 8:05PM ET: This market will resolve to "Los Angeles Angels" if the Los Angeles Angels win the game. This market will resolve to "Texas Rangers" if the Texas Rangers 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 operates under distinct rule sets, fee structures, and user bases, all of which influence how traders price the same event. Kalshi and Predict may also attract different participant demographics—some favoring one interface or liquidity pool over another. Market depth, settlement timing nuances, and platform-specific incentives can create temporary price gaps. Savvy traders monitor both venues to identify arbitrage opportunities, though spreads typically narrow as volume increases.
Key catalysts include lineup announcements, starting pitcher confirmations, and injury updates affecting either roster. Weather conditions at game time—wind speed and temperature—can significantly impact scoring potential. Recent team form, bullpen availability, and head-to-head matchup history all influence trader positioning. Breaking news about player health or roster changes often triggers sharp repricing. As the game approaches, real-time betting action and media narratives can accelerate momentum shifts, making this market particularly responsive in the final hours before first pitch.