| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 144.5 points scored | 49% | 49¢ | 51¢ | — | $124 | Trade → |
| Over 138.5 points scored | 66% | 63¢ | 66¢ | — | $1 | Trade → |
| Over 147.5 points scored | 0% | 40¢ | 44¢ | — | $0 | Trade → |
| Over 159.5 points scored | 0% | 16¢ | 21¢ | — | $0 | Trade → |
| Over 132.5 points scored | 0% | 75¢ | 79¢ | — | $0 | Trade → |
| Over 156.5 points scored | 0% | 20¢ | 26¢ | — | $0 | Trade → |
| Over 135.5 points scored | 0% | 70¢ | 74¢ | — | $0 | Trade → |
| Over 150.5 points scored | 0% | 33¢ | 37¢ | — | $0 | Trade → |
| Over 141.5 points scored | 0% | 56¢ | 59¢ | — | $0 | Trade → |
| Over 129.5 points scored | 0% | 79¢ | 85¢ | — | $0 | Trade → |
| Over 153.5 points scored | 0% | 26¢ | 30¢ | — | $0 | Trade → |
This market lets traders speculate on the combined points scored by Portland and San Francisco in their upcoming matchup; it matters because totals markets synthesize tempo, shooting, and roster availability into a single measurable outcome.
Portland and San Francisco matchups are shaped by each franchise's offensive style, coaching tendencies, and recent roster moves; games at San Francisco can be influenced by home-court pace and crowd environment. Historical meetings can offer context but season-to-season roster turnover and coaching changes mean past totals are an imperfect guide. Short-term factors such as rest, travel and injury reports often drive the largest swings in expected scoring for a specific game.
Market odds reflect the collective view of traders about which total-point ranges are most likely; treat quoted prices as a live consensus that will update as new information (lineups, injuries, weather for travel, etc.) becomes available.
The market close time is listed as TBD on the event page; typically a totals market closes shortly before the scheduled game start, but check the KALSHI interface for the final posted close time.
The 11 outcomes correspond to the specific total-point buckets or exact totals defined by the market creator; view the labeled outcomes on the platform to see whether they represent exact totals, ranges, or over/under thresholds.
Settlement rules vary by market, so consult the market's rule text on KALSHI; some totals include overtime while others explicitly state 'regulation only.'
Late injuries and scratches can materially change expected scoring; monitor official team reports and in-game updates because the market will typically reprice quickly as credible new information arrives.
Yes, head-to-head history can provide signal about matchup tendencies, but it should be weighted alongside current-season metrics (pace, recent offensive/defensive efficiency), roster changes, and sample-size considerations.