| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Erik Karlsson: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Clayton Keller: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Anthony Mantha: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dylan Guenther: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nick Schmaltz: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Erik Karlsson: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Logan Cooley: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bryan Rust: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| JJ Peterka: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Barrett Hayton: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Rickard Rakell: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Yegor Chinakhov: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Rickard Rakell: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Rickard Rakell: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Erik Karlsson: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bryan Rust: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| JJ Peterka: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kris Letang: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Barrett Hayton: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nick Schmaltz: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Anthony Mantha: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dylan Guenther: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nick Schmaltz: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Yegor Chinakhov: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kris Letang: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Anthony Mantha: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Clayton Keller: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dylan Guenther: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Yegor Chinakhov: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bryan Rust: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Clayton Keller: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mikhail Sergachev: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| JJ Peterka: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Logan Cooley: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Logan Cooley: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mikhail Sergachev: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mikhail Sergachev: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks traders to express expectations about the total points scored in the PIT Penguins at UTA Mammoth matchup. It matters because total-points markets aggregate real-time information about expected game flow, scoring pace, and key player availability.
The market covers a single head-to-head game between the listed teams; historical scoring patterns, recent form, and matchup history all inform expectations for the contest. Because team rosters, injuries, and tactical adjustments change throughout a season, traders should combine recent box scores and official roster reports with longer-term trends when forming a view.
Market prices reflect the collective forecast of participants for each discrete outcome; they update as new information arrives (lineup announcements, injuries, starting goalies). Treat quoted prices as a summary of market sentiment rather than a guarantee of any particular result.
It is intended to measure the combined points scored in the listed game; consult the market’s event description on the platform to confirm whether it counts regulation only or includes overtime/shootouts and how points are defined for this listing.
Each outcome corresponds to a specific total-points value or a narrow range of totals; review the label for each outcome on the event page to see the exact point total or bin that will resolve as true.
The listed close time is currently TBD; check the market page for updates—exchanges typically set a close that is at or shortly before the event start and may update it when official start times or lineups are confirmed.
Resolution rules vary by market; some markets specify 'regulation only' while others include overtime and shootouts. Verify the resolution clause on this market’s description to know which scoring periods count.
Key items include official starting-lineup and goaltender announcements, injury and scratch reports, recent team scoring and defensive trends, special-teams effectiveness, and schedule factors such as back-to-back games or long travel.