| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Evan Bouchard: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Evan Bouchard: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mattias Ekholm: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Zach Hyman: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ryan Nugent-Hopkins: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Connor McDavid: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Connor McDavid: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mikhail Sergachev: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dylan Guenther: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Clayton Keller: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ryan Nugent-Hopkins: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nick Schmaltz: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nick Schmaltz: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Clayton Keller: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Clayton Keller: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ryan Nugent-Hopkins: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mikhail Sergachev: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mikhail Sergachev: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dylan Guenther: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Mattias Ekholm: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Connor McDavid: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Zach Hyman: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nick Schmaltz: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Evan Bouchard: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how assists will be credited in the upcoming matchup between the EDM Oilers and the UTA Mammoth; it matters because assists quantify playmaking and team offensive flow, which bettors use to express expectations about how the game will be played.
The market sits on an individual game between two teams with distinct styles—one known for its playmakers and the other for its defensive matchups (see team pages for current rosters). Assists outcomes integrate many game-level variables (line combinations, special teams, in-game tempo) and are commonly used to measure creative and distributional aspects of offense.
Prediction market odds represent the consensus view of traders about which assist outcome is most likely; they update as new information arrives (lineup announcements, injuries, power-play availability) and should be read alongside the market’s outcome definitions on the platform.
Each outcome corresponds to a specific assist-related result as defined on the market page (for example a particular total or a player/team bucket). Consult the outcome labels and the market’s resolution rules on the platform to see whether they represent exact counts, ranges, or named-player outcomes.
Whether primary and secondary assists are included depends on the market’s resolution rules; many assist markets count all credited assists (both primary and secondary), but you must confirm the market’s specific definitions on the event page.
A scratch of a primary distributor typically reduces expected assists for that team by shifting playmaking responsibilities to lower-volume players and altering power-play unit effectiveness; market prices often adjust quickly after official lineup announcements.
Inclusion of overtime assists varies by market; check the event’s resolution rules—some markets count only regulation time, others include overtime and shootouts if stated explicitly.
The 24 outcomes likely break the assist possibilities into discrete counts or player/team-specific buckets. Read each outcome label to understand whether it represents an exact number, a range, or a named-player outcome, and review the resolution rules to know how ties or unlisted scenarios are handled.