TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 9, 10:44 PM EST
Kalshi
This event group covers the MLB game between the Milwaukee Brewers and St. Louis Cardinals scheduled for July 9, 2026 at 7:45 PM ET. The 'Predict' platform offers a moneyline-style binary (Milwaukee wins vs. St. Louis wins), while the 'Kalshi' platform offers spread-based outcomes (wins by more than 1.5, 2.5, or 3.5 runs). These represent fundamentally different market structures and resolution criteria.
The Milwaukee vs St. Louis game scheduled for July 9, 2026 at 7:45 PM EDT will be evaluated based on the final margin of victory. St. Louis outcomes resolve to Yes if St. Louis wins by more than 1.5, 2.5, or 3.5 runs. Milwaukee outcomes resolve to Yes if Milwaukee wins by more than 1.5, 2.5, or 3.5 runs. Each outcome is evaluated independently based on the final game score, with the winning team's margin compared against the specified threshold.
In the upcoming MLB game between the Milwaukee Brewers and St. Louis Cardinals, scheduled for July 9 at 7:45PM ET: This market will resolve to "Milwaukee Brewers" if the Milwaukee Brewers 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 market differently due to variations in user base, contract design, and liquidity depth. 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, and subtle differences in how the spread is defined or settled can shift implied probabilities. Lower trading volume on one venue may also allow wider bid-ask spreads, temporarily decoupling prices. Monitoring both platforms helps you identify arbitrage opportunities and understand which forecast is gaining traction among different trader communities.
Key catalysts include roster changes, injury announcements, weather conditions, and recent team performance trends. A star player ruled out or a backup elevated to starter status can shift the spread significantly. Winning or losing streaks heading into game day often trigger repricing as traders update their confidence in each team's form. Line movement on sportsbooks may also influence prediction market prices as sharp bettors react to new information. Monitor team news, betting syndicate activity, and historical matchup data closely—these signals typically drive the largest moves in this market before kickoff.