| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Jake Guentzel: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brandon Hagel: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Sebastian Aho: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikolaj Ehlers: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jake Guentzel: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| K'Andre Miller: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Seth Jarvis: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Seth Jarvis: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Darren Raddysh: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Darren Raddysh: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brayden Point: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| K'Andre Miller: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Seth Jarvis: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Darren Raddysh: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Alexander Nikishin: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Sebastian Aho: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikita Kucherov: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Anthony Cirelli: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brayden Point: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikolaj Ehlers: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Sebastian Aho: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikita Kucherov: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brandon Hagel: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brandon Hagel: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Anthony Cirelli: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikolaj Ehlers: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Andrei Svechnikov: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikita Kucherov: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Andrei Svechnikov: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brayden Point: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Andrei Svechnikov: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jake Guentzel: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Alexander Nikishin: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This prediction market asks participants to forecast the total points outcome for the NHL game between the Carolina Hurricanes (CAR) and the Tampa Bay Lightning (TB). It matters because aggregated market prices reflect real-time expectations about scoring and show how news and matchup details shift market views.
Carolina and Tampa Bay present distinct matchup dynamics—differences in pace, defensive structure, and special teams tend to shape expected scoring. Traders typically consider recent head-to-head results, each team’s scoring form, coaching strategies, and goaltender histories when assessing likely point totals. Platform-specific market rules (how outcomes are defined, whether overtime counts, and close time) determine exactly what participants are pricing.
Market prices synthesize participant beliefs and will move as new information (lineup confirmations, injury reports, confirmed starters) arrives. Low traded volume or many discrete outcomes can mean quoted prices are less liquid and more sensitive to single updates.
The market’s official close time is set by the platform and listed on the market page; many sports markets close at or shortly before puck drop or when starters are locked, so check the event page for the exact close.
The 33 outcomes are the discrete scoring outcomes defined by this market (for example, specific total-goal thresholds, exact totals, or point ranges). Consult the market outcome list on the platform to see the precise definitions and how each outcome will resolve.
Whether overtime or shootout goals are included depends on this market’s resolution rules; the market description or official rules on the platform will state if totals count regulation only, regulation plus overtime, or include shootout results.
Announcing the confirmed starters typically has a meaningful effect because individual goaltenders differ in save rates and style; a surprise backup or an elite starter confirmation often changes expectations for total goals and therefore moves market prices.
A $0 traded volume indicates there have been no matched trades yet; initial quotes may reflect limited liquidity and are more vulnerable to swings from single trades or new information, so treat early prices with caution and watch for liquidity to develop.