| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Indiana over 99.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Indiana over 102.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Indiana over 105.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Indiana over 108.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Indiana over 111.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Indiana over 114.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Indiana over 117.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Indiana over 120.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Indiana over 123.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Los Angeles C over 111.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Los Angeles C over 114.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Los Angeles C over 117.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Los Angeles C over 120.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Los Angeles C over 123.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Los Angeles C over 126.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Los Angeles C over 129.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Los Angeles C over 132.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Los Angeles C over 135.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders buy and sell discrete outcomes tied to the specified team total for the Los Angeles C at Indiana game — i.e., how many points the named team will score. It matters because team-total markets isolate scoring outcomes and let participants express views on offense, pace, and matchup-specific factors.
The market applies to the Los Angeles C visiting Indiana; context such as each team's recent offensive and defensive form, historical head-to-head tendencies, and the scoring environment of the relevant league (NBA or college) will shape expectations. Schedule factors (rest, travel, and recent minutes), injuries, and coaching strategy have historically produced meaningful swings in team totals markets.
Market prices reflect the collective view of participants about which point-range outcomes are most likely, and they update as new information arrives. Interpret prices as market sentiment about the team’s expected scoring relative to the listed outcome buckets and compare them to your own model or view before trading.
The event page shows the close time as TBD; the platform will list the official market close time (commonly at or shortly before the game start). Outcomes are finalized after the official game statistics are published and the platform completes settlement—check the KALSHI event details for the exact settlement timestamp.
The 18 outcomes map to discrete point ranges or threshold buckets covering the possible team totals for the named team in this game. Each outcome corresponds to a specific scoring interval listed on the market page—review the outcome labels to know which point ranges you are trading.
Settlement will use the official final team point total as reported by the authoritative statistics provider specified by the market. Whether overtime is included or excluded is defined in the market rules on KALSHI, so confirm the settlement rules on the event page before trading.
Key movers include last-minute injury news or lineup changes, announced resting of starters, confirmed rotations and minutes projections, unexpected travel or availability issues, and major in-game scoring runs or foul trouble. Liquidity and large trades can also move prices independently of on-court events.
Yes. Traders commonly combine positions across adjacent outcome buckets to create exposure to a scoring range (buying multiple contiguous outcomes for a long-range view or selling across buckets to hedge). Execution and margin depend on the platform; check the event's outcome labels and available liquidity before constructing multi-outcome strategies.