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Minnesota vs Houston: First 5 Spread
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What is the first 5 inning spread result of Minnesota vs Houston?

Volume:
$16,391

Minnesota -1.5 first 5 innings

 - Kalshi

Minnesota -1.5 first 5 innings - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jul 2, 2026

Closed: Jul 1, 10:14 PM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Minnesota -1.5 first 5 innings

View
100%
Yes 100¢No 0¢
100¢
N/A
$6,640
N/A
N/A
$4,472
Settled
Yes
kalshi

Minnesota -2.5 first 5 innings

100%
Yes 100¢No 0¢
100¢
N/A
$6,066
N/A
N/A
$3,916
Settled
Yes
kalshi

Houston -1.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$2,156
N/A
N/A
$1,249
Settled
No
kalshi

Houston -2.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$1,530
N/A
N/A
$1,291
Settled
No
Total markets: 4

Description

This event focuses on the run differential between Minnesota and Houston during the first five innings of their July 1, 2026 game. Bettors predict whether one team will win by a margin exceeding specific run spreads during this early portion of play.

Kalshi

Resolution is determined by the run differential at the end of the first five innings of the Minnesota vs Houston game originally scheduled for July 1, 2026 at 8:10 PM EDT. Outcomes specify which team must win and by how much: Houston -2.5 means Houston wins by more than 2.5 runs, Houston -1.5 means Houston wins by more than 1.5 runs, Minnesota -1.5 means Minnesota wins by more than 1.5 runs, and Minnesota -2.5 means Minnesota wins by more than 2.5 runs. If the game is postponed or delayed, the market remains open and resolves after the rescheduled game concludes within two days.

Frequently asked questions

On Kalshi, the Minnesota-Houston first 5 spread market dashboard tracks real-time odds and price movement for this prediction market. The interface displays current trader sentiment on whether Minnesota will cover the spread in the opening five minutes of the matchup. You can monitor live price history and observe how the odds shift as new information emerges or as the event approaches. The dashboard also shows trading activity and volume trends, giving you visibility into market liquidity and participation levels throughout the market's lifetime.

Prediction market odds and sportsbook odds often diverge because they reflect different mechanisms. Sportsbooks set lines to balance action and manage risk, while prediction markets like this one are priced by traders who stake real capital on outcomes. Prediction markets tend to aggregate dispersed information efficiently, sometimes offering sharper or more nuanced odds than traditional sportsbooks. However, sportsbook lines may move faster during major news events. Comparing the two can reveal arbitrage opportunities or validate your own view of the spread's likelihood.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares representing each outcome. 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 estimate of all active traders. As new bets flow in, the price adjusts in real time. You can place limit or market orders to enter or exit your position. The spread between bid and ask prices indicates liquidity; tighter spreads suggest higher confidence and more active trading, while wider spreads may signal lower participation or higher uncertainty.

This market resolves around Jul 2, 2026, once the first five minutes of the Minnesota-Houston game have concluded and the outcome is verifiable from credible public sources. The resolution will confirm whether Minnesota covered the spread during that opening window. Until that moment, traders can continue to buy and sell shares as new information and game developments unfold. Early resolution is possible if the event is postponed or cancelled, in which case the platform will communicate any changes to the timeline.

Several factors can shift odds in this market before it resolves. Injury announcements or roster changes affecting either team's starting lineup could significantly impact early-game dynamics. Sportsbook line movements often precede prediction market adjustments, so monitor major betting platforms for clues. Weather conditions, travel delays, or last-minute coaching decisions may also influence opening-quarter performance. As game time approaches, real-time betting action and sharp money flowing into one side can accelerate price movement. Breaking news about player availability or team strategy can trigger rapid repricing as traders update their probability estimates.