| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Nikita Kucherov: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Darren Raddysh: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brandon Hagel: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brock Faber: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Quinn Hughes: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brayden Point: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jake Guentzel: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Quinn Hughes: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Quinn Hughes: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jake Guentzel: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikita Kucherov: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brandon Hagel: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Anthony Cirelli: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brock Faber: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brayden Point: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Anthony Cirelli: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matt Boldy: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matt Boldy: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Oliver Bjorkstrand: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nikita Kucherov: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jake Guentzel: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brock Faber: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Anthony Cirelli: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brayden Point: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Matt Boldy: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brandon Hagel: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Oliver Bjorkstrand: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Darren Raddysh: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Darren Raddysh: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many points will be scored in the NHL game between the Minnesota Wild and the Tampa Bay Lightning and/or related point-based outcomes offered by the platform. It matters because point totals and related props capture expectations about offense, defense, and game flow, and are sensitive to last‑minute lineup and goalie decisions.
Minnesota and Tampa Bay are established NHL clubs with differing offensive styles and goaltending histories; season-to-season and matchup-to-matchup scoring can vary. Historical meetings, current roster health, and coaching tendencies influence expected scoring, but individual game outcomes remain volatile due to goalie performance, special teams, and in‑game dynamics. Markets like this aggregate trader information about those factors into tradable outcomes.
Market odds reflect the consensus view of traders about the likely point outcomes and will update as new information arrives. Use the market to track how news (lineups, injuries, starting goalies, travel and rest) shifts expectations rather than as a fixed prediction.
The market's close time is listed as TBD on the event page; typically point markets close before puck drop or at a specific pregame cutoff — check the Kalshi event page for the official closing timestamp.
The 29 outcomes likely correspond to different point thresholds, ranges, or discrete scoring props offered for this game; review the event's outcome list and contract descriptions on the platform to see exactly what each outcome covers.
Whether overtime and shootout goals count depends on the contract rules for this specific market; consult the event's rule text on Kalshi to confirm whether totals include regulation only, regulation plus overtime, or all goals.
A late goalie change is material information and typically moves pricing quickly — markets adjust as traders react to the replacement goalie’s form, historical numbers, and matchup suitability.
Head-to-head history can provide context but is often limited by small sample sizes and changing rosters; weigh recent team form, current personnel, and goaltending more heavily for a single-game points market.