| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| San Jose wins by over 1.5 goals | 34% | 32¢ | 34¢ | — | $1K | Trade → |
| San Jose wins by over 2.5 goals | 20% | 20¢ | 24¢ | — | $7 | Trade → |
| St. Louis wins by over 1.5 goals | 22% | 22¢ | 26¢ | — | $1 | Trade → |
| St. Louis wins by over 2.5 goals | 13% | 13¢ | 20¢ | — | $1 | Trade → |
This market lets traders take positions on the goal-margin (spread) outcome for the St. Louis at San Jose game; it matters because the spread aggregates market expectations about which team will beat the other by more or fewer goals than the listed margins.
St. Louis (the visiting club) and San Jose (the home club) bring different roster constructions, recent form, and coaching approaches that shape pregame expectations. Venue (home ice), travel schedule, and recent head-to-head results are typical contextual inputs traders use when evaluating this matchup. The market is hosted on KALSHI and shows current liquidity and traded volume for this specific spread market.
Market prices reflect the collective judgment of participants and update as new information arrives; interpret them as a real-time signal of consensus expectation rather than a certainty. Because odds change with news (lineups, injuries, goalie starts), check the market before placing or adjusting positions.
The market's close time is listed as TBD on the event page; KALSHI markets commonly close shortly before the official game start, so check the specific market page or platform notices for the final cutoff.
This market shows four distinct spread outcomes; each outcome corresponds to a particular side and margin of the spread as defined on the contract page — review the contract descriptions on KALSHI to see the exact goal margins represented.
Settlement is based on the official final score as reported by the league and the market's rule text; whether overtime or shootout results count can vary by contract, so confirm the market's settlement rules before trading.
Announcements of the starting goalies, late scratches or injuries to top-line players, major lineup or tactical changes, and new information about travel/rest are the primary pregame movers; in-game scoring and penalties drive price changes once play starts.
Head-to-head results can reveal matchup tendencies but are often limited by small sample size and roster turnover; prioritize very recent matchups, venue, and the current rosters/coaching strategies when using head-to-head data for spread evaluation.