| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 6.5 goals scored | 47% | 47¢ | 48¢ | — | $3K | Trade → |
| Over 5.5 goals scored | 61% | 59¢ | 60¢ | — | $2K | Trade → |
| Over 7.5 goals scored | 26% | 26¢ | 29¢ | — | $383 | Trade → |
| Over 3.5 goals scored | 91% | 88¢ | 91¢ | — | $146 | Trade → |
| Over 9.5 goals scored | 7% | 6¢ | 14¢ | — | $114 | Trade → |
| Over 2.5 goals scored | 99% | 96¢ | 99¢ | — | $10 | Trade → |
| Over 4.5 goals scored | 0% | 78¢ | 83¢ | — | $0 | Trade → |
| Over 8.5 goals scored | 0% | 17¢ | 22¢ | — | $0 | Trade → |
This market asks traders to predict the final combined points scored in the Pittsburgh at Boston game. It matters because total-points markets aggregate market expectations about scoring, pace, and game conditions into tradable outcomes.
Pittsburgh and Boston matchups have distinct scoring profiles driven by each team's offensive style, defensive structure, and goaltending; historical meetings can highlight trends but individual-game factors often dominate. Venue, recent form, roster availability, and schedule context (back-to-back games, travel) are common influences on the combined score for a specific matchup.
Market prices map to how traders collectively expect the final combined score to fall across the available ranges; they are a real-time expression of market views, not guarantees. Use prices as one input alongside team stats, injuries, and situational factors when forming your own view.
Settlement timing is tied to the official end of the game as defined by the market rules; check the platform’s event page for whether overtime or shootout scoring is included and for the official settlement trigger.
The market uses the official combined points/goals recorded by the game’s official scorer per the platform’s rulebook; consult the market rules to confirm whether overtime and shootout points are counted for settlement.
Late absences of top scorers, changes to goaltender decisions, or significant lineup shifts typically reduce or raise expected combined scoring; markets often react quickly when such news is confirmed.
Home-ice/home-court effects, arena characteristics, and travel fatigue can influence scoring tendencies—Boston’s home environment and Pittsburgh’s travel schedule are relevant inputs when assessing expected total points for this specific matchup.
Each outcome corresponds to a specific range of combined points for the game; a winning outcome is the range that contains the official final combined score. Review the outcome labels on the market page to map score scenarios to those ranges before trading.