TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 24, 10:45 PM EST
Predict
This event group covers two distinct prediction markets on the same MLB game between the Arizona Diamondbacks and St. Louis Cardinals scheduled for June 24, 2026 at 7:45 PM EDT. Kalshi's market resolves on whether the game goes to extra innings, while Predict's market resolves on the winner of the game (or 50-50 in case of postponement, cancellation, or tie).
If Arizona and St. Louis go to extra innings in the Arizona vs St. Louis professional baseball game originally scheduled for Jun 24, 2026 at 7:45 PM EDT, then the market resolves to Yes.
In the upcoming MLB game between the Arizona Diamondbacks and St. Louis Cardinals, scheduled for June 24 at 7:45PM ET: This market will resolve to "Arizona Diamondbacks" if the Arizona Diamondbacks win the game. This market will resolve to "St. Louis Cardinals" if the St. Louis Cardinals 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 price this outcome differently due to variations in user base, liquidity depth, and contract design. 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 traders with distinct risk tolerances and information sets, so the marginal buyer or seller can shift prices independently. Lower liquidity on one platform may also amplify price swings from large trades. Monitoring both venues helps you identify arbitrage opportunities or confirm whether consensus is genuinely shifting or if divergence reflects temporary imbalances in order flow.
Several factors may shift trader positioning before the game begins. Injury reports or roster changes to either team's pitching staff could alter expectations for a close, low-scoring contest more likely to reach extra innings. Weather conditions at game time—wind, temperature, humidity—affect ball carry and scoring pace. Betting line movement at sportsbooks often precedes prediction market repricing, so monitoring sharp action can signal where informed bettors are leaning. Late-breaking news on player availability or umpire assignments may also trigger repricing as traders update their models.