TOTAL VOLUME:

$134.2b

24H VOL:

$129,159,707

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,442,132,418

404,744

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30,489

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2,691

PLATFORM COVERAGE:

5

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Kansas City vs Tampa Bay: First 5 Spread
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Kansas City vs Tampa Bay: First 5 Spread

Volume:
$21,133

Tampa Bay -1.5 first 5 innings

 - Kalshi

Tampa Bay -1.5 first 5 innings - Kalshi

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Vol.

·

Resolved Jun 23, 2026

Closed: Jun 22, 8:00 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 -1.5 first 5 innings

View
0%
Yes 0¢No 100¢
100¢
N/A
$9,883
N/A
N/A
$8,537
Settled
No
kalshi

Kansas City -1.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$7,536
N/A
N/A
$6,426
Settled
No
kalshi

Tampa Bay -2.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$2,582
N/A
N/A
$2,428
Settled
No
kalshi

Kansas City -2.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$1,131
N/A
N/A
$1,081
Settled
No
Total markets: 4

Description

This baseball spread market tracks the first five innings of the Kansas City vs Tampa Bay game scheduled for June 22, 2026. Bettors predict whether Tampa Bay or Kansas City will win by specific run margins (1.5 or 2.5 runs) during the early portion of the game.

Kalshi

The event resolves based on the run differential at the end of the first five innings of the Kansas City vs Tampa Bay professional baseball game originally scheduled for June 22, 2026 at 6:40 PM EDT. Tampa Bay outcomes resolve to Yes if Tampa Bay wins by more than the specified run threshold (either 1.5 or 2.5 runs), while Kansas City outcomes resolve to Yes if Kansas City wins by more than the specified run threshold (either 1.5 or 2.5 runs). If the game is postponed or delayed, the market remains open and closes after the rescheduled game concludes within two days.

Frequently asked questions

On Kalshi, the KC vs Tampa Bay first 5 spread market dashboard tracks real-time odds and price movement for this prediction market. The interface displays current market pricing, historical price charts, and 24-hour trading volume to help you monitor how traders are positioning around the first-quarter spread between these two teams. You can view the latest bid-ask spread, recent trade activity, and cumulative volume of $21,133 to gauge overall market interest and liquidity in this specific outcome.

Prediction market odds and traditional sportsbook odds 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 beliefs from traders who have real money at stake on the outcome. This market may offer sharper or earlier signals than sportsbooks, especially as new information emerges closer to kickoff. Comparing the two can reveal where consensus differs and highlight potential value.

On Kalshi, this market is priced through continuous order-book trading, where buyers and sellers submit bids and offers that determine the real-time odds. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price you see reflects the marginal trade—the last executed transaction—and moves dynamically as new orders flow in. Traders profit or lose based on whether their position moves in their favor before the market resolves, creating strong incentives for accurate pricing and active participation throughout the trading window.

This market resolves around Jun 23, 2026, once the first-quarter spread outcome is finalized and verifiable from credible public sources. The result will be confirmed based on the official score differential at the end of the first five minutes of play. Until that point, traders can buy and sell positions freely, and the market price will fluctuate as new information and sentiment shift. Resolution is automatic once the event concludes and the data is confirmed.

Several factors could shift trader sentiment and move this market before resolution. Injury reports or late roster changes for either team may alter perceived first-quarter momentum. Weather conditions, line movements at major sportsbooks, and sharp-money action can all trigger repricing. Media narratives, team form, and historical first-quarter performance trends also influence positioning. As game time approaches, real-time pregame indicators—such as final injury confirmations or unusual betting patterns—often drive the most significant price swings in the final hours.