TOTAL VOLUME:

$134.1b

24H VOL:

$113,466,932

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,423,222,590

402,751

Markets across

30,217

events

MATCHED EVENTS:

2,632

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
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Seattle vs Tampa Bay
kalshi

Who will win Seattle vs Tampa Bay?

Volume:
$3,013,821

Seattle

 - Kalshi

Seattle - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 12, 2026

Closed: Jul 12, 4:44 PM EST

kalshi

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

Seattle

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,238,282
N/A
N/A
$773,988
Settled
Yes
kalshi

Tampa Bay

0%
Yes 0¢No 100¢
100¢
N/A
$1,775,538
N/A
N/A
$1,235,884
Settled
No
Total markets: 2

Intro

This market tracks whether Seattle will defeat Tampa Bay in their scheduled Major League Baseball matchup. On Kalshi, Seattle winning is priced at 99.0%, while Tampa Bay winning stands at 1.0%. The market resolves according to the official result of the game originally scheduled for July 12, 2026 at 1:40 PM EDT. Watch for any roster changes, injuries, or weather updates affecting either team before the first pitch on July 12, 2026.

Kalshi

This event covers the Seattle vs Tampa Bay professional baseball game scheduled for July 12, 2026 at 1:40 PM EDT. Resolution is determined by the final result of the game. If the game is postponed or delayed, the market remains open and closes after the rescheduled game concludes within two days. Should the game be cancelled or rescheduled more than two days away, the market resolves to a fair price in accordance with standard rules.

Frequently asked questions

On Kalshi, the dashboard for the Seattle vs Tampa Bay matchup displays real-time odds and price movements as traders buy and sell shares tied to the game's outcome. You can monitor 24-hour volume of $3,002,276 and total volume of $3,013,821 to gauge market activity and confidence. The interface shows how odds shift in response to team news, injury reports, and betting sentiment leading up to kickoff. Historical price charts help you identify trends and spot when the market reprices based on new information about either team's form or roster status.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets like this one aggregate the collective beliefs of traders risking real capital. Sportsbooks may move faster on sharp money or public sentiment, whereas prediction markets can lag if retail traders haven't yet priced in breaking news. Over time, both tend to converge toward true probabilities, but watching this market alongside major sportsbooks reveals where informed traders see value or disagreement about the matchup's likely outcome.

On Kalshi, this market is priced through an order-book mechanism where traders submit bids and asks, and the market price reflects the last executed trade. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Prices range from near 0 to 100, representing the implied probability of the outcome. As new information emerges—such as player injuries, weather updates, or lineup changes—traders adjust their orders, causing the price to move. The spread between bid and ask reflects market uncertainty and liquidity; tighter spreads indicate higher confidence and more active trading, while wider spreads suggest fewer traders are willing to commit capital at current levels.

This market resolves around Jul 12, 2026, once the Seattle vs Tampa Bay game concludes and the result is verifiable from credible public sources. The outcome is determined by the final score and which team wins the matchup. Resolution typically occurs within hours of the final whistle, after official league records confirm the result. Traders should monitor official team announcements and league communications to stay informed about any postponements or schedule changes that could affect the resolution date.

Key catalysts include injury announcements to star players on either roster, weather forecasts that might favor one team's playing style, and recent team performance trends heading into the matchup. Trade deadline moves or roster changes can shift perceived strength significantly. Media coverage of team morale, coaching decisions, and head-to-head historical matchups also influences trader sentiment. Public betting trends and sharp money flowing into sportsbooks often precede prediction market repricing. Game-day factors like coin-flip outcomes, early scoring, and momentum swings will drive final price adjustments as kickoff approaches and traders react to live developments.