TOTAL VOLUME:

$134b

24H VOL:

$103,397,351

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,410,176,180

399,592

Markets across

30,097

events

MATCHED EVENTS:

2,622

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Sports
Atlanta vs Pittsburgh: Extra Innings
kalshi

Will the Atlanta vs Pittsburgh game go to extra innings?

Volume:
$1,184

Game goes to extra innings

 - Kalshi

Game goes to extra innings - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 8, 2026

Closed: Jul 7, 9:29 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

Game goes to extra innings

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,184
N/A
N/A
$1,179
Settled
No
Total markets: 1

Description

Atlanta and Pittsburgh will play a professional baseball game on July 7, 2026. The market resolves Yes if the game extends beyond nine innings and requires extra innings to determine a winner.

Kalshi

If Atlanta and Pittsburgh go to extra innings in the Atlanta vs Pittsburgh professional baseball game originally scheduled for Jul 7, 2026 at 6:40 PM EDT, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Atlanta vs Pittsburgh extra innings market displays real-time odds and price movements as traders buy and sell shares tied to whether this matchup will extend beyond nine innings. The interface shows current bid-ask spreads, historical price charts, and trading volume to help you monitor sentiment shifts. You can track how the probability estimate evolves as game conditions change, injury reports surface, or lineup decisions are announced. This live data feed lets you spot trading opportunities and compare your own forecast against the crowd's collective assessment.

Prediction market odds and sportsbook odds often diverge because they serve different purposes and audiences. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets like this one reflect trader beliefs about true probability. Sportsbooks may shade lines toward public bias or adjust for sharp money flow, whereas this market aggregates decentralized trader conviction. Over time, prediction markets have shown accuracy advantages in event forecasting, though sportsbook odds remain a useful benchmark. Comparing the two can reveal where the crowd sees hidden value or where casual betting sentiment skews the line.

On Kalshi, this market is priced through an order-book mechanism where traders directly set bid and ask prices for shares representing each outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As buyers and sellers interact, the midpoint price converges toward an equilibrium that reflects the collective forecast. You can place limit orders to trade at your target price or use market orders for immediate execution. The spread between bid and ask tightens as volume increases and more traders participate, improving price discovery and reducing your transaction costs.

This market resolves around Jul 8, 2026, once the game concludes and the result is verifiable from credible public reporting. The outcome hinges on whether the Atlanta versus Pittsburgh matchup extends into extra innings or concludes within regulation play. Resolution occurs after the final out is recorded and official box scores are published, ensuring clarity and fairness for all traders. Until that point, the market remains open for trading as new information emerges.

Several catalysts can shift odds in this market before resolution. Lineup announcements, pitcher availability, and recent team performance trends influence trader expectations about game length and competitiveness. Weather conditions at game time—wind speed, temperature, and humidity—affect ball carry and scoring pace, potentially raising or lowering extra-innings probability. Injury updates to key players, bullpen depth concerns, and head-to-head historical patterns also drive repricing. As game time approaches and early innings unfold, live action and score dynamics will trigger rapid adjustments to reflect evolving win probability and fatigue factors.