| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 216.5 points scored | 49% | 48¢ | 49¢ | — | $122K | Trade → |
| Over 213.5 points scored | 57% | 56¢ | 57¢ | — | $34K | Trade → |
| Over 219.5 points scored | 44% | 42¢ | 43¢ | — | $17K | Trade → |
| Over 207.5 points scored | 70% | 68¢ | 71¢ | — | $16K | Trade → |
| Over 222.5 points scored | 36% | 35¢ | 36¢ | — | $2K | Trade → |
| Over 225.5 points scored | 30% | 29¢ | 30¢ | — | $2K | Trade → |
| Over 204.5 points scored | 77% | 73¢ | 76¢ | — | $1K | Trade → |
| Over 210.5 points scored | 65% | 63¢ | 64¢ | — | $1K | Trade → |
| Over 234.5 points scored | 13% | 13¢ | 16¢ | — | $437 | Trade → |
| Over 231.5 points scored | 21% | 18¢ | 21¢ | — | $429 | Trade → |
| Over 228.5 points scored | 24% | 23¢ | 24¢ | — | $216 | Trade → |
This market lets traders express beliefs about the combined (total) points scored in the Los Angeles C at Golden State game by selecting among multiple total-point outcomes. It matters because total-points markets aggregate real-time information about expected game pace, scoring, and key availability.
The matchup pairs two teams with different offensive and defensive profiles; one side often emphasizes pace and outside shooting while the other may vary lineups and defensive schemes. Seasonal trends, recent form, and head-to-head history all shape typical scoring ranges, but each game’s total can swing quickly based on late-breaking lineup or injury news.
Market prices reflect the collective view of traders about which total-point range is most likely; shifts in those prices reveal how new information (injuries, rest, coaching decisions) changes expectations even if the absolute probabilities aren’t shown here.
The close time is listed on the market page as TBD; platforms typically close trading just before the official game tip-off, so monitor the market page for the exact cutoff.
Each of the 11 outcomes corresponds to a different total-points bucket (a specific total or range) defined on the market page; select the bucket you expect the combined score to fall into.
Whether overtime counts is specified in the market’s settlement rules on the event page; different markets treat overtime differently, so confirm the settlement details before trading.
Settlement occurs after the official box score is available and according to the platform’s stated procedures; payout timing follows the platform’s settlement and withdrawal policies—check KALSHI’s rules for exact timelines.
Late injury reports, confirmed starting lineups, rest or load-management announcements, trade or transaction news, and credible reports about player minutes or coaching strategy are the most common drivers of price movement.