| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| New Jersey wins by over 2.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Boston wins by over 1.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Boston wins by over 2.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New Jersey wins by over 1.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which side of the point spread the Boston at New Jersey game will resolve to, making it a way to trade on the expected margin of victory rather than simply which team wins. Spread markets matter because they capture expectations about game competitiveness and key matchup advantages.
Boston and New Jersey have distinct roster strengths, coaching styles, and situational tendencies that influence expected margins — for example, starting goaltenders, special teams performance, and recent form often drive outcomes. The matchup context (home ice for New Jersey, travel schedules, and any short rest or back-to-back nights) will also shape how bettors and traders assess the likely spread.
Odds in a spread market reflect the market’s aggregate assessment of the likely margin of victory and the distribution of bets across outcomes; they move as new information (injuries, lineups, news) arrives. Interpreting odds here means reading the market’s implied consensus about how close the game is expected to be, not a certainty of any single result.
Each outcome corresponds to a different resolution of the point-spread bucketing defined by the market (for example, one side covering by more than the spread, the other side covering, and any intermediate margin buckets). Check the market description on KALSHI for the precise mapping of each numbered outcome to margins.
The market will close prior to the official start of the game; the exact closure timestamp is set by the platform and listed on the event page. Trades and position changes are generally not accepted after the market closes.
Late lineup news — especially changes to the starting goalie or the absence of key scorers/defensemen — can materially alter the expected margin and therefore the spread; traders typically adjust positions before market close to reflect that information.
Resolution follows KALSHI’s official rules for spread markets. If the final margin exactly matches a spread threshold, the market’s defined push/resolution rule will apply (commonly leading to refunds or split outcomes); consult the platform’s resolution policy for details.
Look at recent head-to-head margins, each team’s results in similar situational contexts (home vs away, rest days, back-to-backs), how each team performs in special teams and late-game situations, and any recurring coaching matchup tendencies that influence scoring pace and defensive matchups.