| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Ryan Donato: 1+ | 16% | 11¢ | 13¢ | — | $3K | Trade → |
| Dylan Guenther: 1+ | 40% | 33¢ | 36¢ | — | $467 | Trade → |
| Connor Bedard: 1+ | 38% | 30¢ | 38¢ | — | $259 | Trade → |
| Kailer Yamamoto: 1+ | 16% | 11¢ | 16¢ | — | $236 | Trade → |
| JJ Peterka: 1+ | 28% | 21¢ | 24¢ | — | $204 | Trade → |
| Nick Schmaltz: 1+ | 30% | 23¢ | 30¢ | — | $167 | Trade → |
| Logan Cooley: 1+ | 26% | 20¢ | 23¢ | — | $119 | Trade → |
| Clayton Keller: 1+ | 35% | 28¢ | 31¢ | — | $88 | Trade → |
| Frank Nazar: 1+ | 21% | 15¢ | 18¢ | — | $20 | Trade → |
| Michael Carcone: 1+ | 23% | 17¢ | 20¢ | — | $19 | Trade → |
| Barrett Hayton: 1+ | 25% | 19¢ | 22¢ | — | $11 | Trade → |
| Lawson Crouse: 3+ | 0% | 0¢ | 5¢ | — | $0 | Trade → |
| Andre Burakovsky: 2+ | 0% | 0¢ | 7¢ | — | $0 | Trade → |
| Artyom Levshunov: 1+ | 0% | 7¢ | 10¢ | — | $0 | Trade → |
| Alexander Kerfoot: 1+ | 0% | 6¢ | 9¢ | — | $0 | Trade → |
| Artyom Levshunov: 2+ | 0% | 0¢ | 6¢ | — | $0 | Trade → |
| Ilya Mikheyev: 2+ | 0% | 0¢ | 7¢ | — | $0 | Trade → |
| JJ Peterka: 3+ | 0% | 0¢ | 6¢ | — | $0 | Trade → |
| Jack McBain: 2+ | 0% | 0¢ | 8¢ | — | $0 | Trade → |
| Kailer Yamamoto: 2+ | 0% | 0¢ | 7¢ | — | $0 | Trade → |
| Logan Cooley: 3+ | 0% | 0¢ | 6¢ | — | $0 | Trade → |
| Michael Carcone: 3+ | 0% | 0¢ | 6¢ | — | $0 | Trade → |
| Mikhail Sergachev: 2+ | 0% | 0¢ | 8¢ | — | $0 | Trade → |
| Ryan Donato: 2+ | 0% | 0¢ | 7¢ | — | $0 | Trade → |
| Ryan Greene: 2+ | 0% | 0¢ | 8¢ | — | $0 | Trade → |
| Sam Rinzel: 2+ | 0% | 0¢ | 6¢ | — | $0 | Trade → |
| Teuvo Teravainen: 2+ | 0% | 0¢ | 9¢ | — | $0 | Trade → |
| Tyler Bertuzzi: 3+ | 0% | 0¢ | 5¢ | — | $0 | Trade → |
| Barrett Hayton: 3+ | 0% | 0¢ | 4¢ | — | $0 | Trade → |
| Clayton Keller: 3+ | 0% | 0¢ | 6¢ | — | $0 | Trade → |
| Connor Bedard: 2+ | 0% | 5¢ | 8¢ | — | $0 | Trade → |
| Connor Bedard: 3+ | 0% | 0¢ | 7¢ | — | $0 | Trade → |
| Dylan Guenther: 3+ | 0% | 0¢ | 5¢ | — | $0 | Trade → |
| Nick Schmaltz: 3+ | 0% | 0¢ | 5¢ | — | $0 | Trade → |
| Lawson Crouse: 2+ | 0% | 1¢ | 4¢ | — | $0 | Trade → |
| Lawson Crouse: 1+ | 0% | 16¢ | 19¢ | — | $0 | Trade → |
| Tyler Bertuzzi: 1+ | 0% | 20¢ | 23¢ | — | $0 | Trade → |
| Nate Schmidt: 1+ | 0% | 5¢ | 8¢ | — | $0 | Trade → |
| Dylan Guenther: 2+ | 0% | 5¢ | 8¢ | — | $0 | Trade → |
| Michael Carcone: 2+ | 0% | 1¢ | 4¢ | — | $0 | Trade → |
| Clayton Keller: 2+ | 0% | 4¢ | 7¢ | — | $0 | Trade → |
| Teuvo Teravainen: 1+ | 0% | 14¢ | 17¢ | — | $0 | Trade → |
| Jack McBain: 1+ | 0% | 12¢ | 15¢ | — | $0 | Trade → |
| JJ Peterka: 2+ | 0% | 1¢ | 4¢ | — | $0 | Trade → |
| Ryan Greene: 1+ | 0% | 11¢ | 14¢ | — | $0 | Trade → |
| Tyler Bertuzzi: 2+ | 0% | 1¢ | 4¢ | — | $0 | Trade → |
| Logan Cooley: 2+ | 0% | 1¢ | 4¢ | — | $0 | Trade → |
| Mikhail Sergachev: 1+ | 0% | 13¢ | 16¢ | — | $0 | Trade → |
| Nick Schmaltz: 2+ | 0% | 2¢ | 5¢ | — | $0 | Trade → |
| Kevin Stenlund: 1+ | 0% | 6¢ | 9¢ | — | $0 | Trade → |
| Ilya Mikheyev: 1+ | 0% | 10¢ | 13¢ | — | $0 | Trade → |
| Barrett Hayton: 2+ | 0% | 1¢ | 4¢ | — | $0 | Trade → |
| Frank Nazar: 2+ | 0% | 0¢ | 8¢ | — | $0 | Trade → |
| Louis Crevier: 1+ | 0% | 2¢ | 4¢ | — | $0 | Trade → |
| Sean Durzi: 1+ | 0% | 12¢ | 15¢ | — | $0 | Trade → |
| Andre Burakovsky: 1+ | 0% | 12¢ | 15¢ | — | $0 | Trade → |
| John Marino: 1+ | 0% | 4¢ | 7¢ | — | $0 | Trade → |
| Wyatt Kaiser: 1+ | 0% | 3¢ | 5¢ | — | $0 | Trade → |
| Sam Lafferty: 1+ | 0% | 4¢ | 6¢ | — | $0 | Trade → |
| Landon Slaggert: 1+ | 0% | 3¢ | 6¢ | — | $0 | Trade → |
| Matt Grzelcyk: 1+ | 0% | 3¢ | 6¢ | — | $0 | Trade → |
| Alex Vlasic: 1+ | 0% | 3¢ | 6¢ | — | $0 | Trade → |
| Sam Rinzel: 1+ | 0% | 10¢ | 13¢ | — | $0 | Trade → |
| Sean Durzi: 2+ | 0% | 0¢ | 9¢ | — | $0 | Trade → |
This market asks which individual player goal outcomes will occur in the UTA Mammoth at CHI Blackhawks matchup; it matters to traders and fans who want to express or monetize views on specific players' scoring performance. The market aggregates participant beliefs about who will score and how many goals will be recorded by particular players.
This is a single-game player-goals market hosted on KALSHI with multiple discrete outcomes (64 listed) and a currently open close date (TBD). Historical scoring patterns for the teams and the current season form, roster changes, and any last-minute lineup or injury news will influence how participants price each outcome. Volume traded provides a signal about market activity but does not guarantee any specific result.
Market prices reflect the collective expectations of participants and update as new information arrives (lineup announcements, injuries, weather, etc.). Use prices alongside independent data — such as starting lineups, projected minutes, and recent scoring trends — rather than treating them as definitive predictions.
TBD means the market organizer has not yet set a final trading deadline; trading continues until the official close is posted on the KALSHI event page. Monitor the event page and pre-game team news for the announced close time, which often aligns with the published start time or an official lineup deadline.
Each outcome corresponds to a specific player-level goal scenario defined by the market (for example, an individual player's goal total reaching a threshold or a particular player scoring at least a certain number of goals). Consult the market's outcome list and descriptions on the KALSHI page to see which players and goal counts each outcome maps to.
Track official team injury reports and lineup announcements, pregame coach comments, in-game shifts/minutes and power-play deployment, live box scores, and reputable beat reporters for last-minute changes. Fantasy/injury trackers and official team social feeds are especially useful for late updates.
Penalties and power plays increase scoring opportunities for players who take advantaged roles, overtime adds extra time for goals to occur, and blowouts can either elevate scoring by one side or reduce star players' minutes through rest. Such developments materially change the likelihood of specific player goal outcomes as a game progresses.
Use historical head-to-head and venue data to inform expectations about scoring environment and matchup tendencies, but combine that with current-season form, roster changes, and situational factors (rest, travel, injuries). Past trends provide context but may be outweighed by recent roster or strategic changes.