| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| DAL Stars | 56% | 55¢ | 56¢ | — | $111K | Trade → |
| CGY Flames | 45% | 44¢ | 45¢ | — | $34K | Trade → |
This market asks which team will win the Dallas at Calgary game; it aggregates traders' expectations ahead of puck drop and is useful for seeing how new information shifts consensus about the likely winner.
Dallas and Calgary are NHL clubs that meet regularly in the regular season; outcomes are shaped by roster health, goaltending choices, and recent form rather than by one isolated factor. Historical head-to-head results can offer context, but each matchup is also influenced by short-term items like travel, rest, and lineup changes.
Market prices represent the aggregate view of traders based on available information and will move as key facts (starting goalies, injuries, line shuffles) become known; treat them as a dynamic consensus signal, not a certainty.
The event page shows the market is live with closes listed as TBD; final close timing is controlled by the platform and commonly occurs at or shortly before game start, so check the event page for updates and the platform's marketplace hours.
Those items are high-impact: traders typically react quickly to official goalie confirmations or late scratches, which can shift the market notably because goaltending heavily influences game outcomes; monitor team reports and official sources for the earliest reliable information.
Settlement policy depends on the marketplace rules; many platforms void or delay settlement if the game is not played within a specified window, so consult KALSHI's event and settlement policies for the exact procedure and timeline.
Watch the confirmed starting goalies, availability of each team's top-scoring forwards and top defense pairing, recent power-play and penalty-kill rates, and possession or expected-goals metrics from recent games to understand matchup strengths and weaknesses.
Home ice usually confers advantages like last change and familiar surroundings; travel, rest differential, and back-to-back scheduling can also affect performance—consider the schedule leading into the game (days off, recent travel) when assessing likely impacts.