| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Boston wins by over 1.5 goals | 33% | 32¢ | 33¢ | — | $2K | Trade → |
| Pittsburgh wins by over 1.5 goals | 29% | 26¢ | 28¢ | — | $174 | Trade → |
| Boston wins by over 2.5 goals | 23% | 22¢ | 24¢ | — | $40 | Trade → |
| Pittsburgh wins by over 2.5 goals | 17% | 18¢ | 20¢ | — | $17 | Trade → |
This market asks how the point/spread margin will resolve in the Pittsburgh at Boston matchup; it matters because spread outcomes determine payouts for spread-focused traders and reflect collective expectations about the game's margin.
This is a head-to-head road game with Boston as the home side; historical matchups, venue effects, and recent team form all shape expectations. Because the market closes TBD, bettors should watch pregame news (lineups, injuries, starter announcements) that commonly shift spread sentiment.
Market prices indicate the crowd’s consensus about which spread-range outcome is most likely and will adjust as new information arrives; use them as a real-time signal of market expectations, not as a guarantee of the final margin.
Closing time is TBD; typically spread markets close at or shortly before game start (kickoff/puck drop/first pitch) or when the platform locks lines for settlement — check the KALSHI interface for the platform’s posted close time and any last-minute updates.
They subdivide the range of possible final margins into four mutually exclusive spread outcomes covering different victory-margin bands for either Pittsburgh or Boston (including outcomes that correspond to a close result or a decisive margin); each outcome wins only if the final margin falls within its specified band.
A late injury to a high-impact starter or scorer typically moves prices quickly toward the side that benefits, as traders update expectations for the margin; the magnitude of the move depends on the player’s role and the available market liquidity.
Head-to-head history can provide context for matchup tendencies, but prioritize recent form, current rosters, home/away splits, and situational factors (rest, travel); older results are less predictive if lineups or coaching have changed.
A strong move can reflect valid new information or concentrated bets; verify whether the move aligns with tangible news (injuries, starters, weather) and consider liquidity and risk management rather than following blindly.