| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Tage Thompson: 3+ | 11% | 0¢ | 11¢ | — | $1K | Trade → |
| Rasmus Dahlin: 2+ | 23% | 0¢ | 23¢ | — | $82 | Trade → |
| Rasmus Dahlin: 1+ | 60% | 0¢ | 60¢ | — | $12 | Trade → |
| Tage Thompson: 2+ | 30% | 0¢ | 30¢ | — | $3 | Trade → |
| Brayden Point: 2+ | 28% | 0¢ | 28¢ | — | $3 | Trade → |
| Josh Doan: 3+ | 0% | 0¢ | 4¢ | — | $0 | Trade → |
| Jake Guentzel: 1+ | 0% | 0¢ | 68¢ | — | $0 | Trade → |
| Rasmus Dahlin: 3+ | 0% | 0¢ | 8¢ | — | $0 | Trade → |
| Jason Zucker: 2+ | 0% | 0¢ | 13¢ | — | $0 | Trade → |
| Alex Tuch: 3+ | 0% | 0¢ | 8¢ | — | $0 | Trade → |
| Jason Zucker: 1+ | 0% | 0¢ | 44¢ | — | $0 | Trade → |
| Jack Quinn: 3+ | 0% | 0¢ | 4¢ | — | $0 | Trade → |
| Josh Norris: 2+ | 0% | 0¢ | 15¢ | — | $0 | Trade → |
| Jason Zucker: 3+ | 0% | 0¢ | 4¢ | — | $0 | Trade → |
| Josh Norris: 3+ | 0% | 0¢ | 5¢ | — | $0 | Trade → |
| Jack Quinn: 2+ | 0% | 0¢ | 12¢ | — | $0 | Trade → |
| Jack Quinn: 1+ | 0% | 0¢ | 42¢ | — | $0 | Trade → |
| Oliver Bjorkstrand: 2+ | 0% | 0¢ | 12¢ | — | $0 | Trade → |
| Josh Doan: 1+ | 0% | 0¢ | 43¢ | — | $0 | Trade → |
| Josh Doan: 2+ | 0% | 0¢ | 12¢ | — | $0 | Trade → |
| Josh Norris: 1+ | 0% | 0¢ | 48¢ | — | $0 | Trade → |
| Ryan McLeod: 1+ | 0% | 0¢ | 49¢ | — | $0 | Trade → |
| Brandon Hagel: 1+ | 0% | 0¢ | 56¢ | — | $0 | Trade → |
| Brandon Hagel: 3+ | 0% | 0¢ | 7¢ | — | $0 | Trade → |
| Brayden Point: 3+ | 0% | 0¢ | 10¢ | — | $0 | Trade → |
| Ryan McLeod: 3+ | 0% | 0¢ | 6¢ | — | $0 | Trade → |
| Brayden Point: 1+ | 0% | 0¢ | 65¢ | — | $0 | Trade → |
| Brandon Hagel: 2+ | 0% | 0¢ | 20¢ | — | $0 | Trade → |
| Tage Thompson: 1+ | 0% | 0¢ | 69¢ | — | $0 | Trade → |
| Jake Guentzel: 2+ | 0% | 0¢ | 29¢ | — | $0 | Trade → |
| Ryan McLeod: 2+ | 0% | 0¢ | 16¢ | — | $0 | Trade → |
| Jake Guentzel: 3+ | 0% | 0¢ | 10¢ | — | $0 | Trade → |
| Nikita Kucherov: 1+ | 0% | 0¢ | 81¢ | — | $0 | Trade → |
| Nikita Kucherov: 3+ | 0% | 0¢ | 22¢ | — | $0 | Trade → |
| Nikita Kucherov: 2+ | 0% | 0¢ | 47¢ | — | $0 | Trade → |
| Oliver Bjorkstrand: 3+ | 0% | 0¢ | 4¢ | — | $0 | Trade → |
| Oliver Bjorkstrand: 1+ | 0% | 0¢ | 44¢ | — | $0 | Trade → |
| Alex Tuch: 1+ | 0% | 0¢ | 60¢ | — | $0 | Trade → |
| Alex Tuch: 2+ | 0% | 0¢ | 23¢ | — | $0 | Trade → |
This market offers multiple outcomes tied to points in the Tampa Bay Lightning at Buffalo Sabres matchup, letting traders express expectations about scoring in that game. It matters because collective bets incorporate up-to-the-minute information about lineups, goaltenders, and game conditions that drive scoring.
Tampa Bay and Buffalo are NHL clubs with distinct styles: Tampa Bay traditionally fields an experienced, possession-heavy attack while Buffalo has recently emphasized speed and high-energy transition offense. Historical scoring between the clubs and each team's recent offensive and defensive form provide useful context, but game-to-game factors like injuries and goalie starts often matter most.
Market prices reflect the crowd’s aggregated expectations about which point outcome will occur and will move as new information arrives; interpret them as a dynamic signal of consensus rather than a fixed forecast.
The market lists its close as TBD; in practice outcomes markets like this typically close before puck drop or when the relevant outcome becomes determinable — check the market page for updates on the specific close time.
The 39 outcomes correspond to discrete point totals or point ranges tied to the game (or to specified player point totals) — review each outcome label on the market page for the exact definitions used here.
Late scratches—especially of starting goalies or top scorers—can move prices materially because they change expected scoring; markets typically adjust quickly as official lineup news is posted.
Whether overtime/shootout counts depends on the market’s outcome definitions; some markets specify regulation-only while others include all game periods, so check the outcome rules on this event’s page for the definitive answer.
Head-to-head history provides context but is only one input: recent roster changes, current form, goaltender matchups, and situational factors (rest, injuries) typically have greater immediate impact on a single game’s scoring.