| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Dylan Guenther: 2+ | 29% | 0¢ | 29¢ | — | $54 | Trade → |
| Logan Cooley: 1+ | 51% | 0¢ | 51¢ | — | $32 | Trade → |
| Clayton Keller: 2+ | 32% | 0¢ | 32¢ | — | $29 | Trade → |
| Tyler Bertuzzi: 1+ | 47% | 0¢ | 47¢ | — | $20 | Trade → |
| Teuvo Teravainen: 1+ | 46% | 0¢ | 46¢ | — | $10 | Trade → |
| Nick Schmaltz: 1+ | 65% | 0¢ | 65¢ | — | $3 | Trade → |
| Clayton Keller: 1+ | 70% | 0¢ | 70¢ | — | $3 | Trade → |
| Dylan Guenther: 1+ | 68% | 0¢ | 68¢ | — | $3 | Trade → |
| Connor Bedard: 2+ | 0% | 0¢ | 26¢ | — | $0 | Trade → |
| Connor Bedard: 3+ | 0% | 0¢ | 10¢ | — | $0 | Trade → |
| Sam Rinzel: 2+ | 0% | 0¢ | 14¢ | — | $0 | Trade → |
| Teuvo Teravainen: 2+ | 0% | 0¢ | 14¢ | — | $0 | Trade → |
| Teuvo Teravainen: 3+ | 0% | 0¢ | 5¢ | — | $0 | Trade → |
| Tyler Bertuzzi: 2+ | 0% | 0¢ | 15¢ | — | $0 | Trade → |
| JJ Peterka: 2+ | 0% | 0¢ | 14¢ | — | $0 | Trade → |
| Clayton Keller: 3+ | 0% | 0¢ | 12¢ | — | $0 | Trade → |
| Dylan Guenther: 3+ | 0% | 0¢ | 10¢ | — | $0 | Trade → |
| Logan Cooley: 2+ | 0% | 0¢ | 16¢ | — | $0 | Trade → |
| Lawson Crouse: 2+ | 0% | 0¢ | 11¢ | — | $0 | Trade → |
| Lawson Crouse: 1+ | 0% | 0¢ | 41¢ | — | $0 | Trade → |
| Nick Schmaltz: 2+ | 0% | 0¢ | 27¢ | — | $0 | Trade → |
| Logan Cooley: 3+ | 0% | 0¢ | 5¢ | — | $0 | Trade → |
| JJ Peterka: 3+ | 0% | 0¢ | 4¢ | — | $0 | Trade → |
| Tyler Bertuzzi: 3+ | 0% | 0¢ | 5¢ | — | $0 | Trade → |
| Sam Rinzel: 3+ | 0% | 0¢ | 4¢ | — | $0 | Trade → |
| Frank Nazar: 3+ | 0% | 0¢ | 5¢ | — | $0 | Trade → |
| Andre Burakovsky: 2+ | 0% | 0¢ | 7¢ | — | $0 | Trade → |
| Frank Nazar: 1+ | 0% | 0¢ | 49¢ | — | $0 | Trade → |
| JJ Peterka: 1+ | 0% | 0¢ | 48¢ | — | $0 | Trade → |
| Connor Bedard: 1+ | 0% | 0¢ | 63¢ | — | $0 | Trade → |
| Barrett Hayton: 3+ | 0% | 0¢ | 5¢ | — | $0 | Trade → |
| Barrett Hayton: 1+ | 0% | 0¢ | 49¢ | — | $0 | Trade → |
| Barrett Hayton: 2+ | 0% | 0¢ | 15¢ | — | $0 | Trade → |
| Lawson Crouse: 3+ | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Andre Burakovsky: 1+ | 0% | 0¢ | 36¢ | — | $0 | Trade → |
| Sam Rinzel: 1+ | 0% | 0¢ | 46¢ | — | $0 | Trade → |
| Frank Nazar: 2+ | 0% | 0¢ | 15¢ | — | $0 | Trade → |
| Nick Schmaltz: 3+ | 0% | 0¢ | 9¢ | — | $0 | Trade → |
This market lets traders bet on the points outcome for the UTA Mammoth at CHI Blackhawks matchup. It matters because market prices aggregate traders' expectations about scoring and game dynamics, offering a real-time signal to participants.
Both franchises bring distinct styles that shape scoring expectations: one team may emphasize defense and goaltending while the other leans on transition offense and high event rates. Recent roster moves, coaching tactics and short-term form drive how many points are likely in a given game, and these factors can change quickly during a season.
Market odds reflect the balance of money and information on each listed outcome and therefore summarize collective expectations about scoring. Low liquidity or many discrete outcomes can make individual prices noisy, so use them alongside injury reports, lineup news and scouting.
It refers to the scoring outcome as defined by the market creator — often the combined total points scored or discrete point ranges; check the market’s outcome labels on KALSHI for the precise definition.
The listed close time is currently TBD; KALSHI markets typically close at a time set by the market creator (commonly at or before game start), so monitor the event page for the official close time.
The 38 discrete outcomes correspond to different point totals or ranges offered in this market; each outcome is a separate contract, so review the outcome labels to see exact score bands before trading.
Prioritize official team injury reports and credible beat reporting: changes to starters, especially goaltenders or top scorers, materially shift expected points, and markets may update with a lag, so adjust positions and sizing for added uncertainty.
Low total volume implies limited liquidity and greater sensitivity to single trades; prices can be volatile or unrepresentative of broad consensus, so treat signals from this market as lower-confidence and corroborate with other information.