| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Detroit wins by over 1.5 goals | 46% | 46¢ | 47¢ | — | $149K | Trade → |
| Nashville wins by over 1.5 goals | 1% | 0¢ | 2¢ | — | $75K | Trade → |
| Detroit wins by over 2.5 goals | 9% | 9¢ | 13¢ | — | $7K | Trade → |
| Nashville wins by over 2.5 goals | 4% | 0¢ | 1¢ | — | $1K | Trade → |
This market lets traders take positions on the point-spread outcome for the Detroit at Nashville game; it matters because the spread summarizes market expectations about the expected margin and reacts quickly to news that changes the matchup balance.
Detroit and Nashville have met frequently in the same league, with individual games often decided by goaltending, special teams, and matchup-specific defensive tactics. The spread market aggregates information about starting lineups, injuries, travel and recent form into a single tradable signal that can move as new information appears.
In this context, market prices reflect the consensus view on which team will cover the posted spread; price movement before the event signals how traders are updating that view in response to news such as starter announcements or injury reports.
The event page lists the close time as TBD; on most platforms the spread market closes at or just before puck drop or when official starting lineups are locked, so check the KALSHI event page for the final close time.
Major moves typically follow announcements like a surprising starting-goalie change, a late scratch to a top-line player, confirmed injuries in warmups, or new information about travel delays or suspensions.
Monitor the announced starting goalies, confirmed scratches or returns of key forwards/defensemen, any changes to special-teams personnel, and whether either team is short-handed due to illness or discipline.
Home ice is one component of the spread, but its effect depends on context: combine it with recent home/road splits, rest differential, and travel; markets price home advantage continuously, so look for information that would increase or decrease that baseline edge.
Head-to-head records can reveal matchup tendencies (e.g., how one team defends the other's strengths), but prioritize recent seasons and current rosters; carry more weight when personnel and coaching continuity mean past matchups are representative of the present.