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Tampa Bay vs Kansas City: First 5 Spread
kalshi

What is the first 5 inning run differential between Tampa Bay and Kansas City?

Volume:
$9,326

Tampa Bay -2.5 first 5 innings

 - Kalshi

Tampa Bay -2.5 first 5 innings - Kalshi

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Vol.

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Resolved Jul 1, 2026

Closed: Jun 30, 9:22 PM EST

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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

Tampa Bay -2.5 first 5 innings

View
100%
Yes 100¢No 0¢
100¢
N/A
$4,072
N/A
N/A
$2,905
Settled
Yes
kalshi

Tampa Bay -1.5 first 5 innings

100%
Yes 100¢No 0¢
100¢
N/A
$2,183
N/A
N/A
$1,643
Settled
Yes
kalshi

Kansas City -1.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$2,420
N/A
N/A
$1,539
Settled
No
kalshi

Kansas City -2.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$650
N/A
N/A
$649
Settled
No
Total markets: 4

Description

This market tracks the run differential between Tampa Bay and Kansas City during the first five innings of their June 30, 2026 baseball game. Bettors can wager on whether one team will win by specific margin thresholds during this early portion.

Kalshi

The market resolves based on the run differential established after the completion of the first five innings of the Tampa Bay vs Kansas City professional baseball game originally scheduled for June 30, 2026 at 7:40 PM EDT. Separate outcomes track whether Kansas City wins by more than 2.5 runs, Kansas City wins by more than 1.5 runs, Tampa Bay wins by more than 1.5 runs, or Tampa Bay wins by more than 2.5 runs during this period. If the game is postponed or delayed, the market remains open and closes after the rescheduled game finishes within two days.

Frequently asked questions

On Kalshi, the first 5 spread market dashboard displays real-time odds and price movement for the opening quarter spread between Tampa Bay and Kansas City. The interface tracks the current market price, historical price trends, and 24-hour trading volume to help traders monitor sentiment shifts. This market reflects how traders collectively assess whether Kansas City will cover the spread in the first five minutes of play, with prices updating continuously as new trades execute. Volume data and odds snapshots provide context for market depth and liquidity.

Prediction market odds and traditional sportsbook spreads often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and manage risk, while prediction markets like this one aggregate trader beliefs through continuous price discovery. Traders here may price in factors—team momentum, injury reports, weather—differently than oddsmakers do. Comparing this market's odds to major sportsbooks can reveal where consensus differs, though prediction markets typically converge toward sportsbook lines as game time approaches and information becomes more certain.

On Kalshi, this market is priced through a continuous order-book mechanism where buyers and sellers submit bids and asks for contracts tied to the first 5 spread outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders profit or lose based on whether their prediction matches the verified result, creating strong incentives for accurate pricing. The bid-ask spread and order depth reflect market confidence; tight spreads indicate consensus, while wider spreads suggest uncertainty. Real-time price updates ensure the market reflects the latest available information about team readiness and early-game conditions.

This market resolves around Jul 1, 2026, once the opening quarter of the Tampa Bay versus Kansas City game concludes and the first 5 spread outcome is verifiable from credible public sources. The result is determined by comparing the actual point differential in the first five minutes against the spread price at which traders bought or sold contracts. Resolution is automatic once the game data is confirmed, with payouts distributed to traders on the correct side of the outcome.

Several factors can shift this market before resolution. Injury announcements or roster changes affecting either team's opening lineup will likely trigger repricing, as will weather updates or stadium conditions that influence early-game play. Coaching decisions, such as aggressive or conservative opening drives, may also influence trader expectations. Media narratives and expert commentary closer to game time can sway sentiment. As kickoff approaches, this market typically tightens around a consensus price, with late-breaking news—such as a key player being ruled out—capable of producing sharp moves in the final hours.