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%

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St. Louis vs Atlanta
kalshi

Who will win St. Louis vs Atlanta?

Volume:
$4,227,198

St. Louis

 - Kalshi

St. Louis - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 1, 2026

Closed: Jun 30, 10:14 PM EST

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Kalshi

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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
$1,709,063
N/A
N/A
$1,143,390
Settled
Yes
kalshi

Atlanta

0%
Yes 0¢No 100¢
100¢
N/A
$2,518,134
N/A
N/A
$1,410,766
Settled
No
Total markets: 2

Intro

This market tracks whether the Atlanta Braves will defeat the St. Louis Cardinals in their scheduled matchup. On Kalshi, Atlanta winning resolves to Yes at 80.0%, while St. Louis winning resolves to Yes at 21.0%. The market resolves according to the official result of the professional baseball game originally scheduled for June 30, 2026 at 7:15 PM EDT. Watch for the final game outcome on June 30, 2026, which will determine the market resolution.

Kalshi

This event covers the St. Louis vs Atlanta professional baseball game originally scheduled for June 30, 2026 at 7:15 PM EDT. Resolution is determined by the winner of the completed game. If the game is postponed or delayed, the market remains open and resolves after the rescheduled game concludes, provided the reschedule occurs within two days of the original date. If the game is cancelled entirely or rescheduled to more than two days after the original date, the market resolves to a fair price in accordance with standard resolution procedures.

Frequently asked questions

On Kalshi, the dashboard for the St. Louis vs Atlanta matchup displays real-time odds and price movements as traders buy and sell shares tied to the outcome. You can monitor how market sentiment shifts throughout the trading window, track cumulative volume, and observe which outcome is commanding stronger conviction among participants. The interface shows the current implied probability for each side, historical price charts, and recent trade activity. This transparency lets you gauge whether consensus is solidifying around one team or if uncertainty remains elevated heading into game time.

Prediction market odds and sportsbook odds often diverge because they reflect different participant pools and incentive structures. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets aggregate the beliefs of traders risking real capital with no built-in spread. This market's odds may lead or lag sportsbook lines depending on information flow and trader conviction. Comparing the two can reveal where smart money is positioning itself and whether public perception aligns with market-derived probabilities. Neither is inherently more accurate, but the differences themselves signal where uncertainty or disagreement is highest.

On Kalshi, this market is priced through continuous order-book trading, where buyers and sellers post bids and offers that determine the real-time probability for each outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Shares in the winning outcome pay out at full value, while losing shares expire worthless, creating a direct link between price and implied likelihood. The spread between bid and ask reflects liquidity and conviction; tighter spreads indicate confidence and deeper participation, while wider spreads suggest uncertainty or thinner order flow. As new information emerges or traders adjust their views, prices adjust instantly to clear supply and demand.

This market resolves around Jul 1, 2026, once the event concludes and the result is verifiable from credible public sources. The outcome is determined by the final score and official game result. Until that point, prices may fluctuate based on pre-game analysis, injury reports, betting trends, and other factors that influence trader expectations. Resolution is automatic once the event is complete and confirmed, at which point winning positions are paid out and the market closes.

Key catalysts include injury announcements, lineup changes, recent team performance, head-to-head matchup history, and public betting trends from major sportsbooks. Shifts in player availability or coaching decisions can significantly alter win probability. Media narratives, expert predictions, and social sentiment may also sway trader positioning. Weather conditions, travel schedules, and rest advantages can influence outcomes. As game time approaches, late-breaking news—such as last-minute roster updates or unexpected player status changes—often triggers sharp repricing. Monitor team news feeds and sports media closely for developments that could shift conviction in either direction.