| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Logan Cooley: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Yegor Chinakhov: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bryan Rust: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Rickard Rakell: 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 → |
| JJ Peterka: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Clayton Keller: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nick Schmaltz: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kris Letang: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Yegor Chinakhov: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Logan Cooley: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mikhail Sergachev: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Rickard Rakell: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bryan Rust: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dylan Guenther: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Anthony Mantha: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mikhail Sergachev: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Clayton Keller: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Erik Karlsson: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Erik Karlsson: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mikhail Sergachev: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Rickard Rakell: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Kris Letang: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bryan Rust: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Erik Karlsson: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nick Schmaltz: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Clayton Keller: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Barrett Hayton: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders express expectations for the total number of assists recorded in the PIT Penguins at UTA Mammoth game; it matters because assists capture playmaking, special-teams impact, and overall game flow.
The market offers a finely grained set of possible assist outcomes tied to a single matchup between Pittsburgh and Utah. Historical assist totals for similar matchups, current-season form, and roster availability all shape expectations even if the exact close time is not yet set.
Market prices reflect the crowd’s consensus about which assist-total outcome is most likely and will shift as late-breaking information arrives. Treat prices as real-time signals about relative likelihoods across the available outcomes, not guarantees of a result.
Assists are counted according to the game’s official box score as recorded by the league: primary and secondary assists that appear in the final official statistics will determine the outcome.
The market is split into 30 discrete outcomes that each correspond to a specific assist total or a small range of totals; traders buy shares in the outcome they expect will match the official final assist count.
Late roster news typically causes rapid price movement as traders update expectations; the market will incorporate that information immediately, so watch official lineup and injury reports closely.
Close timing is set by the market operator and usually aligns with the official scheduled puck drop or a clearly announced cutoff; check the market page or official announcements for the definitive close time.
Key indicators include projected power-play time and personnel, recent assist trends of top passers on both teams, goaltender tendencies that influence shot volume, and whether either team faces fatigue from back-to-back scheduling.