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Sports OPEN

St. Louis at San Jose: Spread

📊 $0 traded 🏦 Source: Kalshi
Total Volume
$0
Open Interest
0
Active Markets
4
Markets
4

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All Outcomes (4)
Outcome Probability Yes Bid Yes Ask 24h Change Volume
San Jose wins by over 2.5 goals 0%
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San Jose wins by over 1.5 goals 0%
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St. Louis wins by over 1.5 goals 0%
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St. Louis wins by over 2.5 goals 0%
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About This Market

This market resolves which spread outcome will occur for the St. Louis at San Jose game, capturing market views on the expected margin of victory. It matters for traders and observers who want to hedge or express opinions about the game’s expected competitiveness.

The matchup pits St. Louis on the road in San Jose, where travel, time-zone shifts, and home-ice conditions can all influence performance. Historical meetings between these clubs, season-long form, and roster availability shape expectations going into the game. Because this is a spread market, the focus is on margin rather than just the winner.

Market odds express the collective assessment of how likely each margin outcome is relative to the others; they should be read as comparative signals, not certainties. Traders use odds to gauge where the market assigns more or less confidence across the available spread outcomes.

Key Factors

Frequently Asked Questions

When will this market close relative to the game start?

The market will close at the time set by the platform for this event; typically spread markets close before puck drop, but the exact closure time for this listing is determined by the market operator and should be visible on the event page.

How does a change in the announced starting goaltender for San Jose affect the spread outcome?

A starting-goalie change is a high-impact update because goaltending directly affects the expected goals against; such news normally shifts market sentiment toward the outcome that aligns with the perceived quality of the replacement goalie.

If St. Louis is on a long road trip arriving in San Jose, how might that influence the spread?

Extended travel and time-zone adjustment can increase fatigue and reduce performance, which the market will often price in by moving toward outcomes favoring the rested or home team.

How should I treat recent head-to-head results between these teams when evaluating this spread market?

Head-to-head history can provide context about matchup styles and tendencies, but current-season form, roster status, and situational factors (injuries, rest) usually carry more weight for spread assessment.

Does this spread settle on the final score including overtime or only regulation?

Settlement conventions vary by platform and by market; check the specific market rules for this event to confirm whether the spread uses final score including overtime/shootout or only regulation time.

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