| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 224.5 points scored | 50% | 48¢ | 50¢ | — | $10K | Trade → |
| Over 209.5 points scored | 82% | 77¢ | 82¢ | — | $121 | Trade → |
| Over 239.5 points scored | 17% | 16¢ | 21¢ | — | $14 | Trade → |
| Over 230.5 points scored | 34% | 34¢ | 37¢ | — | $1 | Trade → |
| Over 218.5 points scored | 63% | 61¢ | 63¢ | — | $1 | Trade → |
| Over 236.5 points scored | 0% | 21¢ | 26¢ | — | $0 | Trade → |
| Over 212.5 points scored | 0% | 72¢ | 77¢ | — | $0 | Trade → |
| Over 227.5 points scored | 0% | 41¢ | 43¢ | — | $0 | Trade → |
| Over 215.5 points scored | 0% | 67¢ | 70¢ | — | $0 | Trade → |
| Over 221.5 points scored | 0% | 55¢ | 57¢ | — | $0 | Trade → |
| Over 233.5 points scored | 0% | 28¢ | 31¢ | — | $0 | Trade → |
This market asks how many combined points Boston and Cleveland will score in their matchup. It matters because totals markets capture expectations about pace, defense, and late-breaking availability news that can shift consensus quickly.
Boston and Cleveland are NBA franchises with differing season-to-season scoring profiles; past matchups, current season pace, and roster changes provide context for projected totals. Venue (Cleveland home court), recent form, and whether either team is on a back-to-back are common drivers of game scoring dynamics.
Market odds reflect the crowd’s consensus about the likely combined score and update as new information arrives; shifts indicate how traders are re-evaluating factors like injuries or pace rather than absolute certainty.
It refers to the combined points scored by both teams as recorded in the official league box score; whether overtime is included depends on this specific event's settlement rules, so check the KALSHI event description.
The event page lists the close time as TBD; on similar markets trading typically ends before tip-off or at the platform-specified cut-off, so monitor the KALSHI event page for the official close time.
Announcements of lineup changes, confirmed injuries or rest for key scorers, and unexpected rotation decisions tend to move totals markets most; major betting flow or a large single trade can also produce rapid price changes.
Settlement will use the official final game statistics from the league; the exact settlement timing and whether overtime counts are governed by the event’s rules on KALSHI, so consult that page for final resolution procedures.
They can provide a baseline for matchup tendencies, but treat head-to-head history cautiously: roster changes, season tempo, injuries, and sample size all limit how predictive past totals are for the upcoming game.