| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 6.5 goals scored | 48% | 46¢ | 48¢ | — | $11K | Trade → |
| Over 5.5 goals scored | 60% | 59¢ | 60¢ | — | $1K | Trade → |
| Over 7.5 goals scored | 29% | 27¢ | 28¢ | — | $963 | Trade → |
| Over 3.5 goals scored | 90% | 88¢ | 90¢ | — | $348 | Trade → |
| Over 2.5 goals scored | 95% | 92¢ | 98¢ | — | $91 | Trade → |
| Over 4.5 goals scored | 80% | 77¢ | 78¢ | — | $91 | Trade → |
| Over 9.5 goals scored | 0% | 7¢ | 9¢ | — | $0 | Trade → |
| Over 8.5 goals scored | 0% | 16¢ | 20¢ | — | $0 | Trade → |
This market asks traders to predict the combined number of goals scored in the Carolina at Vancouver NHL game (the Total Points). It matters because totals markets aggregate expectations about game pace, goaltending, and special teams into a single tradable metric.
Carolina and Vancouver bring different personnel mixes and tactical tendencies that shape scoring expectations; matters like recent form, roster availability, and matchup specifics (power play units, defensive structure) provide context. Head-to-head history and each team’s season scoring environment help frame expectations, but single-game outcomes are highly sensitive to last-minute news such as starting goalies or injuries.
Prediction market odds reflect the aggregated trading interest in each total-points outcome and shift as information arrives; interpret them as the market’s current consensus over likely scoring ranges rather than a fixed forecast.
The market will lock before puck drop; the platform lists an exact close time, but trades generally stop at or just before the game begins to prevent trading on in-play events.
The eight outcomes correspond to distinct total-goal ranges or specific total categories (different over/under thresholds or bins). Check the platform’s outcome labels to see the precise boundaries for each option.
Very important—start confirmations typically move totals markets materially because a different starter implies a different expected save profile and therefore a different likely scoring range.
Volume indicates how much money has changed hands and provides a sense of liquidity and trader engagement; higher volume often means tighter pricing and easier entry/exit, while lower volume can lead to larger price swings on new information.
Use historical scoring to identify trends (e.g., whether matchups historically produce higher or lower totals), but prioritize very recent data—current-season form, last several games, and any lineup or goalie changes—since those factors typically have greater impact on a single game’s total.