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VGK Golden Knights at DAL Stars: Points

📊 $0 traded 🏦 Source: Kalshi
Total Volume
$0
Open Interest
0
Active Markets
39
Markets
39

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Prices in cents (1¢ = 1%). Trade on Kalshi.

All Outcomes (39)
Outcome Probability Yes Bid Yes Ask 24h Change Volume
Wyatt Johnston: 3+ 0%
$0 Trade →
Matt Duchene: 3+ 0%
$0 Trade →
Pavel Dorofeyev: 3+ 0%
$0 Trade →
Jason Robertson: 2+ 0%
$0 Trade →
Jamie Benn: 3+ 0%
$0 Trade →
Mitch Marner: 3+ 0%
$0 Trade →
Mark Stone: 2+ 0%
$0 Trade →
Miro Heiskanen: 2+ 0%
$0 Trade →
Mitch Marner: 2+ 0%
$0 Trade →
Jason Robertson: 3+ 0%
$0 Trade →
Pavel Dorofeyev: 1+ 0%
$0 Trade →
Mitch Marner: 1+ 0%
$0 Trade →
Mark Stone: 1+ 0%
$0 Trade →
Wyatt Johnston: 1+ 0%
$0 Trade →
Ivan Barbashev: 2+ 0%
$0 Trade →
Thomas Harley: 1+ 0%
$0 Trade →
Mavrik Bourque: 2+ 0%
$0 Trade →
Ivan Barbashev: 1+ 0%
$0 Trade →
Wyatt Johnston: 2+ 0%
$0 Trade →
Jason Robertson: 1+ 0%
$0 Trade →
Mark Stone: 3+ 0%
$0 Trade →
Tomas Hertl: 2+ 0%
$0 Trade →
Jamie Benn: 1+ 0%
$0 Trade →
Mavrik Bourque: 3+ 0%
$0 Trade →
Pavel Dorofeyev: 2+ 0%
$0 Trade →
Matt Duchene: 2+ 0%
$0 Trade →
Miro Heiskanen: 3+ 0%
$0 Trade →
Jamie Benn: 2+ 0%
$0 Trade →
Jack Eichel: 2+ 0%
$0 Trade →
Thomas Harley: 3+ 0%
$0 Trade →
Tomas Hertl: 3+ 0%
$0 Trade →
Thomas Harley: 2+ 0%
$0 Trade →
Jack Eichel: 3+ 0%
$0 Trade →
Ivan Barbashev: 3+ 0%
$0 Trade →
Tomas Hertl: 1+ 0%
$0 Trade →
Mavrik Bourque: 1+ 0%
$0 Trade →
Jack Eichel: 1+ 0%
$0 Trade →
Miro Heiskanen: 1+ 0%
$0 Trade →
Matt Duchene: 1+ 0%
$0 Trade →

About This Market

This market asks which specific 'Points' outcome will occur in the VGK Golden Knights at DAL Stars matchup on KALSHI. It matters because it aggregates trader views about how many points (goals and/or assists as defined by the contract) will be produced in this particular game, informing expectations for scoring.

Vegas Golden Knights and Dallas Stars are NHL clubs with distinct offensive styles and goaltending profiles; season form, recent scoring trends, and injuries to key forwards or defensemen can shift expected point totals. Game context — home ice at Dallas, travel, rest, and whether the game affects standings or playoff seeding — also alters how coaches deploy lines and special teams.

Market prices represent the consensus belief of traders about which discrete points outcome will occur; they are not guarantees but update as new information (starting goalies, scratches, travel news) arrives. Refer to the contract text on KALSHI for the precise definition of 'Points' and exact settlement rules.

Key Factors

Frequently Asked Questions

What exactly do the 39 outcomes represent for the VGK Golden Knights at DAL Stars: Points market?

The 39 outcomes partition the possible point totals listed in the contract into discrete buckets; each outcome corresponds to a specific final points figure or range as defined in the contract text on KALSHI.

When will this market close and how will the 'Points' outcome be settled for this VGK at DAL event?

The market's close time is listed as TBD; settlement will follow the contract's resolution rules—check whether scoring is counted through regulation only or includes overtime/shootout, and confirm the official data source used for final point tallies.

Total Volume Traded is $0 — how should I interpret liquidity and price reliability for this specific market?

Zero volume indicates little or no trading history so far, which can mean prices are thin and prone to large moves when new information or the first trades appear; exercise caution and monitor order book depth before placing large positions.

How will a last-minute starting goalie change or a key scratch for VGK or DAL affect this Points market?

Those announcements typically cause immediate repricing: a stronger starter or the loss of a top scorer reduces expected points, while a weaker goalie or a healthy scratch on defense tends to increase expected scoring; watch time-stamped official lineup confirmations.

How should I use team and player historical scoring rates to inform trades on this VGK at DAL Points market?

Use season and recent-form scoring rates as a starting point but adjust for matchup-specific factors (goaltender matchup, special-teams differential, venue, and rest). Give more weight to recent games and head-to-head patterns while accounting for small-sample variability and any roster changes.

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