| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Bryan Rust: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bryan Rust: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bryan Rust: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Erik Karlsson: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Erik Karlsson: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Erik Karlsson: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jason Robertson: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jason Robertson: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jason Robertson: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miro Heiskanen: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miro Heiskanen: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miro Heiskanen: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Rickard Rakell: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Rickard Rakell: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Rickard Rakell: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market tracks the combined points (goals and assists translated to the market's scoring unit) produced in the NHL game between the Dallas Stars and the Pittsburgh Penguins. It matters because it isolates scoring volume and tempo rather than the game winner, letting traders express views on offense, goaltending, and game flow.
Dallas and Pittsburgh bring different offensive profiles and personnel histories to the matchup, and head-to-head dynamics and recent form often shape scoring expectations. Historical matchups, power-play effectiveness, and roster stability are useful context; late scratches, travel and rest are common game-by-game drivers of scoring variance. Because the market has many discrete outcomes, small information updates can shift which bucket is most likely.
Market odds reflect collective expectations about how many total points this specific Stars–Penguins game will produce and will update as new information (lineups, starters, injuries) arrives. Treat the market as a real-time synthesis of public information and evolving in-game signals rather than a static prediction.
Settlement is based on the event's designated official stat provider and occurs after the official final game statistics are released; check the event's settlement rules on the platform for exact timing and any settlement notes.
Each outcome corresponds to a specific total-points bucket or exact total defined on the event page; the 15 outcomes together cover a range of possible combined point totals for the full game, so read the outcome labels on the market to know which totals each outcome represents.
A goalie change typically moves market expectations because different goalies have different recent form and styles; expect notable price movement when official starters or late scratches are announced, especially if the replacement has markedly different metrics or health status.
In many events overtime goals are included and shootout goals are excluded, but the definitive rule depends on the market's settlement definitions and official stat source, so confirm the event's settlement rules for this specific market.
Watch official lineups and scratches, starting goalie confirmations, injury reports, power-play unit announcements, and travel/rest indicators such as back-to-back scheduling; these items commonly drive pregame price shifts in points markets.