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Colorado vs Los Angeles D: First 5 Spread
kalshi

What is the first 5 inning run differential in Colorado vs Los Angeles D?

Volume:
$87,791

Los Angeles D -1.5 first 5 innings

 - Kalshi

Los Angeles D -1.5 first 5 innings - Kalshi

1W

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Positive

Negative

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Vol.

·

Resolved Jul 7, 2026

Closed: Jul 6, 11:49 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

Los Angeles D -1.5 first 5 innings

View
100%
Yes 100¢No 0¢
100¢
N/A
$48,597
N/A
N/A
$25,915
Settled
Yes
kalshi

Los Angeles D -2.5 first 5 innings

100%
Yes 100¢No 0¢
100¢
N/A
$19,262
N/A
N/A
$12,305
Settled
Yes
kalshi

Colorado -1.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$11,572
N/A
N/A
$9,731
Settled
No
kalshi

Colorado -2.5 first 5 innings

0%
Yes 0¢No 100¢
100¢
N/A
$8,360
N/A
N/A
$8,257
Settled
No
Total markets: 4

Description

This event predicts the run differential between the two teams during the first five innings of the Colorado vs Los Angeles Dodgers game on July 6, 2026. Bettors forecast which team will lead and by how many runs after five innings.

Kalshi

The Colorado vs Los Angeles Dodgers game scheduled for July 6, 2026 at 10:10 PM EDT will be evaluated based on the run differential at the end of the first five innings. Los Angeles Dodgers outcomes resolve Yes if they lead by more than the specified run margin (1.5 or 2.5 runs) after five innings, while Colorado outcomes resolve Yes if they lead by more than the specified run margin (1.5 or 2.5 runs) after five innings. The team with the higher score after five innings is determined by the inning score, and the margin must strictly exceed the stated threshold. 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 Colorado vs Los Angeles first 5 spread tracks real-time odds and historical price movements as traders buy and sell shares tied to the opening quarter 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 first-quarter point differential. This data updates continuously throughout the trading day, allowing you to monitor shifting sentiment and liquidity before the game begins.

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 lock in profit margins, while prediction markets aggregate the beliefs of traders risking real capital on outcomes. This market aggregates decentralized trader conviction about the first-quarter spread, which may differ from a sportsbook's opening or closing line. Comparing the two can reveal where informed traders see value relative to conventional oddsmakers.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares representing each side of the first-quarter spread 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 aggregate probability assigned by the market; as new information emerges or trading volume shifts, prices adjust in real time. Kalshi's transparent, peer-to-peer pricing model means the odds you see are determined entirely by supply and demand among active traders, with no house odds or margin built in by the platform.

This market resolves around Jul 7, 2026, once the first quarter of the Colorado versus Los Angeles game concludes and the final spread for that period is verifiable from credible public sources. The outcome is determined by comparing the official point differential recorded during the opening five minutes of play. Resolution occurs automatically after the event is confirmed, and traders' positions settle based on whether the actual spread matches the predicted threshold.

Key catalysts include injury reports or roster changes announced before game time, which can shift team strength and expected scoring pace in the first quarter. Betting line movement at major sportsbooks often precedes prediction market shifts, as sharp bettors may trade here after identifying value. Weather conditions, travel delays, or late-breaking coaching decisions can also influence early-game momentum and scoring. Real-time game flow—turnovers, penalties, or early fouls—will drive price swings once play begins, reflecting live trader reassessment of the final first-quarter spread.