| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 5.5 goals scored | 53% | 49¢ | 52¢ | — | $549 | Trade → |
| Over 7.5 goals scored | 16% | 16¢ | 23¢ | — | $2 | Trade → |
| Over 6.5 goals scored | 0% | 37¢ | 43¢ | — | $0 | Trade → |
| Over 2.5 goals scored | 0% | 56¢ | 99¢ | — | $0 | Trade → |
| Over 9.5 goals scored | 0% | 2¢ | 10¢ | — | $0 | Trade → |
| Over 8.5 goals scored | 0% | 8¢ | 16¢ | — | $0 | Trade → |
| Over 3.5 goals scored | 0% | 79¢ | 87¢ | — | $0 | Trade → |
| Over 4.5 goals scored | 0% | 71¢ | 78¢ | — | $0 | Trade → |
This market lets traders bet on the total number of points/goals scored in the New York R at New Jersey game across eight discrete outcome buckets. It matters because total-points markets concentrate information about expected game tempo, offensive output, and defensive matchups into a single, tradable instrument.
The market sits within a sports fixture between teams labeled New York R and New Jersey; specifics such as sport code or timing are set by the platform. Historical scoring trends between the two clubs, recent form, roster availability, and venue effects all shape expectations for how high- or low-scoring this particular meeting will be. With eight outcomes, the market segments total points into multiple ranges so traders can express views on narrow bands of total scoring rather than a simple over/under.
Market odds reflect the aggregate expectations of traders about which total-points range will occur; they update as new information arrives (injuries, lineups, weather, etc.). Use odds as a snapshot of market consensus, not a guarantee of the result.
The event page lists the close time as TBD; check the KALSHI market interface for the final close time, which is typically set to occur shortly before the official game start or puck drop.
Each of the eight outcomes corresponds to a specific range or exact value of total points/goals scored in the game (e.g., low to high scoring buckets); the platform’s outcome labels explain the exact ranges used for settlement.
Late injury or lineup news that impacts scorers or primary goaltenders typically causes rapid price movement across the eight outcomes as traders re-assess expected scoring; markets can become more volatile in the hours and minutes before close.
Yes — historical head-to-head scoring patterns provide context for typical goal totals between these teams, but they should be combined with current-season form, roster changes, and situational factors for a complete view.
Settlement is based on the official total points/goals recorded in the game as reported by the league or authoritative scorer; consult the market rules on KALSHI for details about tie-breakers, rounding, and the data source used for final settlement.