| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 6.5 goals scored | 50% | 48¢ | 50¢ | — | $20K | Trade → |
| Over 5.5 goals scored | 62% | 61¢ | 62¢ | — | $7K | Trade → |
| Over 8.5 goals scored | 20% | 18¢ | 20¢ | — | $495 | Trade → |
| Over 7.5 goals scored | 29% | 26¢ | 29¢ | — | $229 | Trade → |
| Over 2.5 goals scored | 94% | 96¢ | 98¢ | — | $190 | Trade → |
| Over 3.5 goals scored | 89% | 87¢ | 89¢ | — | $109 | Trade → |
| Over 4.5 goals scored | 80% | 80¢ | 81¢ | — | $94 | Trade → |
| Over 9.5 goals scored | 10% | 8¢ | 10¢ | — | $17 | Trade → |
This market asks how many total points (combined goals) will be scored in the Ottawa at Vancouver game by selecting one of the offered total-point outcomes. It matters to traders who want to take a view on the game’s scoring environment rather than the match winner.
The relevant context is the teams’ recent offensive and defensive form, which is influenced by starting goaltender choices, injuries and recent schedule (back-to-back games can depress scoring). Head-to-head history can offer signals but should be weighted against current-season roster and tactical changes. Because the market closes relative to the game start, last-minute roster shifts and goalie announcements commonly drive price moves.
Market prices represent the crowd’s evolving assessment of how high- or low-scoring the game will be and will move as new information arrives; use them as a real-time indicator, not a static forecast.
The market’s listed close is TBD; typically these markets close at or just before official puck drop, but you should check the market page for the exact close time for this specific event because exchanges can set different deadlines.
A late change in either team’s starting goalie can materially shift expectations because goalies differ in save rates and style; markets often reprice quickly after such announcements, so monitor official lineup releases until the market closes.
The eight outcomes partition possible combined-game totals into discrete ranges or thresholds (for example, low, medium, high scoring bands); consult the market’s outcome labels on the trading page to see the exact mapping from an outcome to the total-goals interval for this event.
Head-to-head history can reveal patterns (e.g., whether past matchups tend to be high- or low-scoring), but its usefulness depends on roster continuity and recent form — prioritize current-season data, goalie matchups, and recent offensive trends over long-ago meetings.
Late injury reports, goalie confirmations, travel or COVID/illness updates, announced scratches, and significant betting flow (large trades) can all produce rapid repricing in this market; because trading volume is currently low, even modest new information may cause sizable price swings.