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CAR Hurricanes at PIT Penguins: Points

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

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

All Outcomes (39)
Outcome Probability Yes Bid Yes Ask 24h Change Volume
Rickard Rakell: 3+ 0%
$0 Trade →
Nikolaj Ehlers: 3+ 0%
$0 Trade →
Bryan Rust: 3+ 0%
$0 Trade →
Taylor Hall: 3+ 0%
$0 Trade →
Bryan Rust: 1+ 0%
$0 Trade →
Sidney Crosby: 1+ 0%
$0 Trade →
Anthony Mantha: 1+ 0%
$0 Trade →
Rickard Rakell: 2+ 0%
$0 Trade →
Anthony Mantha: 3+ 0%
$0 Trade →
Erik Karlsson: 3+ 0%
$0 Trade →
Nikolaj Ehlers: 2+ 0%
$0 Trade →
Erik Karlsson: 2+ 0%
$0 Trade →
Andrei Svechnikov: 3+ 0%
$0 Trade →
K'Andre Miller: 1+ 0%
$0 Trade →
Andrei Svechnikov: 2+ 0%
$0 Trade →
Jackson Blake: 2+ 0%
$0 Trade →
Yegor Chinakhov: 3+ 0%
$0 Trade →
Yegor Chinakhov: 2+ 0%
$0 Trade →
Evgeni Malkin: 2+ 0%
$0 Trade →
K'Andre Miller: 2+ 0%
$0 Trade →
Jackson Blake: 1+ 0%
$0 Trade →
Anthony Mantha: 2+ 0%
$0 Trade →
Evgeni Malkin: 3+ 0%
$0 Trade →
Seth Jarvis: 1+ 0%
$0 Trade →
Rickard Rakell: 1+ 0%
$0 Trade →
Nikolaj Ehlers: 1+ 0%
$0 Trade →
Taylor Hall: 1+ 0%
$0 Trade →
Sidney Crosby: 2+ 0%
$0 Trade →
Sidney Crosby: 3+ 0%
$0 Trade →
Bryan Rust: 2+ 0%
$0 Trade →
K'Andre Miller: 3+ 0%
$0 Trade →
Seth Jarvis: 2+ 0%
$0 Trade →
Andrei Svechnikov: 1+ 0%
$0 Trade →
Taylor Hall: 2+ 0%
$0 Trade →
Jackson Blake: 3+ 0%
$0 Trade →
Seth Jarvis: 3+ 0%
$0 Trade →
Erik Karlsson: 1+ 0%
$0 Trade →
Evgeni Malkin: 1+ 0%
$0 Trade →
Yegor Chinakhov: 1+ 0%
$0 Trade →

About This Market

This market lets participants trade on the points-related outcome for the NHL game between the Carolina Hurricanes (CAR) and the Pittsburgh Penguins (PIT). It matters because it aggregates information about expected scoring for this specific matchup and can inform betting or hedging decisions.

The Hurricanes and Penguins have distinct offensive and defensive profiles that influence scoring expectations: Carolina often emphasizes structured team play, while Pittsburgh historically leans on top-end goal scorers. Venue, goaltender assignments, recent lineups, and scheduling (rest or back-to-back games) typically shape game scoring and are especially relevant for this road game in Pittsburgh.

Market prices reflect the collective view of traders on which points outcome is most likely and will move as new information arrives. Use prices as a timely signal that complements box-score data, lineup news, and scouting reports rather than as a standalone forecast.

Key Factors

Frequently Asked Questions

What do the 39 outcomes represent in the CAR Hurricanes at PIT Penguins: Points market?

The 39 outcomes are the market's predefined point buckets or specific point totals for this event; each outcome corresponds to the label shown on the market page and only the outcome that matches the official recorded points at settlement will resolve as true.

When does trading close for the CAR Hurricanes at PIT Penguins: Points market?

The market's official close time is listed on the market page and is currently TBD here; check the market interface for the definitive close time before placing trades, as platforms often close markets shortly before the game starts or at a platform-specified cutoff.

How will this market be settled after the Hurricanes at Penguins game?

Settlement will follow the platform's rules using the NHL's official game statistics (box score) for the relevant points measure indicated in the outcome labels; the outcome that matches the official statistic will settle as the winning outcome.

What types of news or in-game events typically move prices for this points market?

Key movers include announcements of starting goalies or late scratches, lineup confirmations, injury reports, trade/roster changes, and in-game scoring events (first-period goals, power-play goals) — each can shift market expectations for final points.

How should I combine this market information with other sources when making a decision about the CAR at PIT points market?

Use the market as a real-time consensus signal and combine it with authoritative sources: official lineup and injury reports, recent team form, goaltender recent performance, special-teams stats, and head-to-head context; manage position size and consider stop-losses or hedges to handle sudden news-driven volatility.

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