| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Adrian Kempe: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Adrian Kempe: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Adrian Kempe: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Alex Laferriere: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Alex Laferriere: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Anze Kopitar: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Anze Kopitar: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Anze Kopitar: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Artemi Panarin: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Artemi Panarin: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Artemi Panarin: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brandt Clarke: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brandt Clarke: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Clayton Keller: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Clayton Keller: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Clayton Keller: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dylan Guenther: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dylan Guenther: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Logan Cooley: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Logan Cooley: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mikhail Sergachev: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mikhail Sergachev: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mikhail Sergachev: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nick Schmaltz: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nick Schmaltz: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nick Schmaltz: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Quinton Byfield: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Quinton Byfield: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This prediction market covers the assists outcome for the UTA Mammoth at LA Kings game and captures trader expectations about how many assists will be recorded. It matters to participants who want to express views on playmaking, team strategy, and game flow for this specific matchup.
Assists are a core playmaking statistic that reflect passing and offensive coordination; totals in a given game depend on lineups, special teams, and game pace. Historical assist totals between these two teams, recent form, and roster availability provide useful context but outcomes can vary widely from game to game. Market prices incorporate incoming information such as injury reports, scratches, and announced starting lineups.
Market prices represent the crowd’s consensus expectation for which assist outcome will occur and will move as new information arrives. Use prices as a real-time signal of how traders are valuing different assist totals, not as guarantees of a result.
Close and resolution times are set by the market operator; this market currently shows 'TBD' for close, so check the market page for the official close time and the resolution rules tied to the game’s official end.
Assists are counted according to the official scorer and the event’s statistical provider specified by the market rules; consult the market’s resolution text for the exact source used to determine the official assist total.
Outcome structure varies by market; the market page lists each of the 28 outcomes and the assists total or range each represents, so review that mapping before trading to know which outcome corresponds to which assist total.
Late absences typically reduce expected assists for the affected team and can shift market prices quickly; traders commonly update positions after official lineup or injury announcements.
Key drivers include the two teams’ recent offensive output, projected power-play minutes in the matchup, expected tempo and possession share, and how the coaching staffs deploy top puck-movers and special-teams units.