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$134.1b

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$113,466,932

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$1,423,222,590

402,751

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2,632

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5

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Atlanta vs St. Louis
kalshi
predict

Who will win Atlanta vs St. Louis?

Volume:
$2,098,429

St. Louis

 - Kalshi

St. Louis - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 12, 2026

Closed: Jul 11, 9:39 PM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

St. Louis

View
100%
Yes 100¢No 0¢
100¢
N/A
$579,286
N/A
N/A
$341,884
Settled
Yes
predict

Atlanta Braves vs. St. Louis Cardinals

View
1%
Yes 1¢No 99¢
—
$1,405
$6,446
N/A
N/A
N/A
Settled
No
kalshi

Atlanta

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,512,698
N/A
N/A
$1,044,442
Settled
No
Total markets: 3

Intro

This market tracks the outcome of the MLB game between the Atlanta Braves and St. Louis Cardinals. Across Kalshi and Predict, the consensus probability for the Atlanta Braves winning stands at 100.0%. The aggregated view combines data from both platforms using official MLB final statistics as the primary resolution source. Watch for the game's completion on July 11, 2026 at 7:15 PM ET, after which the market will resolve based on the final result.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi's resolution structure is logically incomplete and contradictory. It states the market resolves Yes if either team wins, but provides no explicit resolution path for cancellations, ties, or postponements. This creates a critical data integrity failure where the market outcome is unresolvable under edge-case scenarios.Hero tip: Do not trade Kalshi until they publish explicit resolution language for cancellations, ties, and postponements. Predict's market is fully specified and tradeable. If you must trade Kalshi, request written clarification from their settlement team on all edge cases before entry.

Critical divergence points:

  • Predict: Binary outcome structure with full edge-case specification. Resolves to named team if that team wins. Postponements keep market open; cancellations or ties without makeup resolve 50-50 split. Resolution source is official MLB statistics within 24 hours, or credible reporting consensus if delayed.
  • Kalshi: Tautological Yes-resolution structure with missing edge cases. States market resolves Yes if Atlanta wins OR Yes if St. Louis wins, but omits explicit resolution for cancellations, ties, and postponements. No fallback source or timing specified.
Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.

Kalshi

This event covers the Atlanta vs St. Louis professional baseball game originally scheduled for July 11, 2026 at 7:15 PM EDT. Resolution is based on the final result of the completed game. If the game is postponed or delayed, the market remains open and closes after the rescheduled game finishes, provided the reschedule occurs within two days of the original date. Should the game be cancelled entirely or rescheduled to more than two days after the original date, the market resolves to a fair price in accordance with the rules.

Predict

In the upcoming MLB game between the Atlanta Braves and St. Louis Cardinals, scheduled for July 11 at 7:15PM ET: This market will resolve to "Atlanta Braves" if the Atlanta Braves 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.

Frequently asked questions

This dashboard aggregates prediction market pricing for the Atlanta vs St. Louis matchup across Kalshi and Predict, two leading platforms where traders forecast the outcome. You can monitor real-time odds, cumulative trading volume of $2,098,429, and 24-hour activity at $1,996,235 to gauge market sentiment. The cross-platform view reveals consensus probability and highlights where independent trader bases converge or diverge on the likely winner, giving you a comprehensive snapshot of how prediction markets are pricing this event.

Prediction markets and sportsbooks price events differently because they operate under distinct incentive structures. Sportsbooks set odds to balance their book and manage liability, factoring in their margin. Prediction markets like those tracked here rely on trader consensus—the aggregate belief of many participants risking real capital. This often produces sharper, less biased estimates of true probability. Comparing this market's odds to major sportsbook lines can reveal where public perception diverges from trader conviction, potentially signaling value or consensus shifts.

Kalshi and Predict may show different odds due to variations in user base, liquidity depth, and trading mechanics. 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's fee structure, available order types, and participant demographics influence how quickly prices adjust to new information. Smaller or less liquid pools can lag behind larger ones, and regional trader concentration may skew one platform's odds relative to the other. Monitoring both helps you identify temporary mispricings and understand where conviction is strongest across the prediction market ecosystem.

Key catalysts include roster announcements, injury reports, recent team performance trends, and head-to-head historical matchups. Public statements from coaches or players can shift trader sentiment, as can betting line movements from major sportsbooks, which often signal sharp money. Weather conditions or venue factors may also influence odds. Real-time updates during the lead-up to game day—such as lineup confirmations or late-breaking news—typically trigger the largest price swings as traders reassess probabilities and reposition accordingly.