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Atlanta vs Philadelphia: First Inning Run
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What happens in Atlanta vs Philadelphia first inning?

Volume:
$312,515

Over 0.5 runs in the 1st inning

 - Kalshi

Over 0.5 runs in the 1st inning - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Sep 5, 2026

Closed: Sep 5, 6:34 PM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Over 0.5 runs in the 1st inning

View
100%
56%
Yes 100¢No 0¢
100¢
N/A
$312,515
N/A
N/A
$216,632
Settled
Yes
Total markets: 1

Description

This event determines if either Atlanta or Philadelphia will manage to score a run in the first inning of their scheduled baseball matchup. It reflects the initial scoring chances and offensive execution of both teams at the start of the game.

Kalshi

If either team scores a run in the first inning of the Atlanta vs Philadelphia professional baseball game originally scheduled for Sep 5, 2026 at 6:05 PM EDT, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the first inning run market tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probabilities are shifting as traders buy and sell contracts. Currently, the 24-hour volume is $311,605 and the total volume traded is $312,515. This provides a real-time view of market sentiment regarding whether a run will be scored in the first inning of the game between Atlanta and Philadelphia. The dashboard is a key tool for understanding where the crowd stands on this particular event.

Generally, prediction market odds tend to reflect the wisdom of the crowd, often proving more accurate than initial sportsbook lines. Sportsbooks set their odds based on models and expert analysis, but can be influenced by biases or attempts to balance their book. This market, however, allows anyone to participate and express their belief, leading to a potentially more informed price. While sportsbooks may initially offer different probabilities, they often adjust closer to prediction market prices as the event approaches and more information becomes available. It’s common to see convergence, though differences can persist due to varying market participants and risk appetites.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing their belief about the probability of a run being scored in the first inning. The price of a contract ranges from 0 to 100, representing the implied probability of the 'Yes' outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more people buy 'Yes' contracts, the price increases, indicating a higher perceived chance of a run. Conversely, selling 'Yes' contracts drives the price down. The market aggregates these individual beliefs to create a collective forecast, providing a dynamic and real-time assessment of the potential outcome.

This market resolves around Sep 6, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the resolution will be based on whether a run is scored during the first inning of the game between Atlanta and Philadelphia. Official game statistics will be used to determine the outcome, ensuring a transparent and objective resolution process. The market will then settle, and traders will receive payouts based on their positions and the final result. It’s important to monitor the game closely as it progresses to understand how the outcome is unfolding.

Several factors could influence this market before resolution. Any news regarding starting pitchers, such as injuries or late changes, could significantly shift the odds. Weather conditions, particularly if they are expected to impact hitting, are also a key consideration. Pre-game reports on team lineups and batting orders, as well as any analysis from baseball experts, can also move the market. Unexpected announcements about player availability or changes in strategy could also lead to shifts in trading activity, as traders adjust their predictions based on the latest information.