TOTAL VOLUME:

$134.2b

24H VOL:

$126,324,530

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,434,646,834

406,019

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30,401

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MATCHED EVENTS:

2,689

PLATFORM COVERAGE:

5

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Tampa Bay vs Houston: First 5 Spread
kalshi

What is the first 5 inning spread in Tampa Bay vs Houston?

Volume:
$79,638

Tampa Bay -1.5 first 5 innings

 - Kalshi

Tampa Bay -1.5 first 5 innings - Kalshi

1W

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Positive

Negative

Neutral

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Vol.

·

Resolved Jul 5, 2026

Closed: Jul 4, 8:55 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
100%
Yes 100¢No 0¢
100¢
N/A
$25,165
N/A
N/A
$9,500
Settled
Yes
kalshi

Houston -1.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$27,894
N/A
N/A
$23,551
Settled
No
kalshi

Tampa Bay -2.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$21,569
N/A
N/A
$12,462
Settled
No
kalshi

Houston -2.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$5,009
N/A
N/A
$4,309
Settled
No
Total markets: 4

Description

This market analyzes the run differential between Tampa Bay and Houston specifically during the first five innings of their July 4, 2026 game. Bettors can wager on whether one team wins by a specific margin during this early portion of the game.

Kalshi

Resolution depends on the run differential between Tampa Bay and Houston at the end of the first 5 innings of their game scheduled for July 4, 2026 at 7:10 PM EDT. Houston winning by more than 2.5 runs or more than 1.5 runs each constitute separate Yes outcomes, as do Tampa Bay winning by more than 1.5 runs or more than 2.5 runs. The market captures different victory margins for both teams during the first five innings. 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 dashboard for the Tampa Bay vs Houston first 5 spread tracks real-time odds and historical price movements as traders buy and sell shares tied to the opening quarter point spread between these two teams. The interface displays current market probability, 24-hour trading volume, and order book depth, giving you a live snapshot of how prediction market participants are pricing the early-game spread. This data updates continuously throughout the trading day, allowing you to monitor shifts in market sentiment as game time approaches.

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 aggregate the beliefs of traders risking real capital on outcomes. This market may show tighter or wider spreads than traditional sportsbooks, and the direction of divergence can signal where informed traders see value. Comparing the two can reveal whether consensus leans bullish or bearish on the first-quarter spread relative to professional oddsmakers.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares representing different outcomes of the first 5 spread. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each share reflects the collective probability assigned by active traders; as new information emerges or sentiment shifts, the bid-ask spread tightens or widens accordingly. Kalshi's transparent, real-time pricing allows you to enter or exit positions at market rates or place limit orders to capture specific price targets.

This market resolves around Jul 5, 2026, once the first quarter of the Tampa Bay versus Houston game concludes and the final spread for that period is verifiable from credible public sources. The outcome is determined by comparing the actual point differential at the end of the first five minutes of play against the spread threshold embedded in the market contract. Resolution is automatic once the game data is confirmed, and all positions settle according to whether the outcome matched the predicted spread.

Key catalysts include injury reports or roster changes announced before game time, which can shift expectations for team performance in the opening quarter. Weather conditions, travel delays, or last-minute lineup adjustments may also influence early-game momentum and scoring patterns. As tip-off approaches, sharp action from professional traders often moves prices noticeably. During the first five minutes themselves, actual scoring plays and turnovers will drive final price discovery, with this market becoming increasingly volatile as the resolution window narrows.