| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 6.5 goals scored | 40% | 40¢ | 41¢ | — | $10K | Trade → |
| Over 5.5 goals scored | 52% | 52¢ | 54¢ | — | $5K | Trade → |
| Over 3.5 goals scored | 85% | 84¢ | 87¢ | — | $2K | Trade → |
| Over 8.5 goals scored | 16% | 14¢ | 16¢ | — | $946 | Trade → |
| Over 7.5 goals scored | 21% | 21¢ | 23¢ | — | $782 | Trade → |
| Over 4.5 goals scored | 75% | 75¢ | 77¢ | — | $734 | Trade → |
| Over 9.5 goals scored | 5% | 5¢ | 6¢ | — | $639 | Trade → |
| Over 2.5 goals scored | 96% | 93¢ | 98¢ | — | $156 | Trade → |
This market asks traders to predict the total combined points scored in the Calgary at Washington game; it matters because aggregated trader expectations can signal how likely the game is to be high- or low-scoring based on available information.
Calgary and Washington are two professional hockey clubs whose scoring outcomes depend on factors like current season form, recent offensive and defensive trends, and roster decisions. Historical head-to-head scoring, goaltender matchups, and scheduling (back-to-backs or travel) often shape expectations for total points in a given matchup.
Market odds show the collective view of traders about which scoring range is most likely and will move as new information arrives; interpret them as a consensus signal that complements, but does not replace, your own analysis.
The listing currently shows a close time of TBD; KALSHI typically closes total-points markets before game start, so check the event page for the exact close time and any last-minute updates.
This market is divided into eight mutually exclusive outcome buckets that together cover the possible ranges of combined points; consult the KALSHI event page to see the exact point ranges for each outcome.
A starting-goaltender announcement is often one of the largest immediate drivers because goaltenders strongly influence scoring expectations; a late change to a backup or an elite starter typically triggers rapid market movement as traders update assumptions.
Evaluate recent power-play opportunities, conversion rates, and how often each team is taking penalties; teams that draw or concede a lot of penalties increase the chance of power-play scoring, which raises expected total points.
Head-to-head history can provide context, but roster changes, current season trends, and small sample sizes limit its predictive power; prioritize current goaltenders, recent form, and injuries when forecasting this single game's total.