| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Reed Sheppard: 25+ | 7% | 7¢ | 10¢ | — | $804 | Trade → |
| Kevin Durant: 25+ | 52% | 48¢ | 52¢ | — | $641 | Trade → |
| Jabari Smith Jr.: 15+ | 50% | 45¢ | 48¢ | — | $590 | Trade → |
| Reed Sheppard: 10+ | 81% | 79¢ | 80¢ | — | $497 | Trade → |
| Reed Sheppard: 15+ | 52% | 47¢ | 51¢ | — | $402 | Trade → |
| Jakob Poeltl: 15+ | 16% | 12¢ | 22¢ | — | $362 | Trade → |
| Amen Thompson: 20+ | 36% | 34¢ | 36¢ | — | $297 | Trade → |
| Kevin Durant: 15+ | 94% | 93¢ | 94¢ | — | $211 | Trade → |
| Jabari Smith Jr.: 10+ | 72% | 71¢ | 78¢ | — | $152 | Trade → |
| Scottie Barnes: 20+ | 35% | 33¢ | 35¢ | — | $134 | Trade → |
| Kevin Durant: 20+ | 76% | 72¢ | 76¢ | — | $128 | Trade → |
| Alperen Sengun: 15+ | 68% | 65¢ | 71¢ | — | $123 | Trade → |
| Alperen Sengun: 20+ | 42% | 40¢ | 42¢ | — | $123 | Trade → |
| Kevin Durant: 30+ | 26% | 24¢ | 27¢ | — | $89 | Trade → |
| Tari Eason: 20+ | 7% | 3¢ | 8¢ | — | $50 | Trade → |
| Jakob Poeltl: 20+ | 9% | 0¢ | 8¢ | — | $50 | Trade → |
| Alperen Sengun: 25+ | 19% | 17¢ | 19¢ | — | $36 | Trade → |
| Tari Eason: 10+ | 55% | 52¢ | 55¢ | — | $30 | Trade → |
| Immanuel Quickley: 15+ | 62% | 58¢ | 60¢ | — | $23 | Trade → |
| Amen Thompson: 15+ | 65% | 63¢ | 65¢ | — | $18 | Trade → |
| Immanuel Quickley: 20+ | 35% | 29¢ | 33¢ | — | $13 | Trade → |
| Amen Thompson: 25+ | 14% | 13¢ | 14¢ | — | $6 | Trade → |
| Jakob Poeltl: 10+ | 53% | 53¢ | 57¢ | — | $2 | Trade → |
| Scottie Barnes: 10+ | 88% | 82¢ | 88¢ | — | $2 | Trade → |
| Tari Eason: 15+ | 0% | 20¢ | 23¢ | — | $0 | Trade → |
| RJ Barrett: 20+ | 0% | 43¢ | 46¢ | — | $0 | Trade → |
| Amen Thompson: 30+ | 0% | 2¢ | 5¢ | — | $0 | Trade → |
| Alperen Sengun: 30+ | 0% | 3¢ | 6¢ | — | $0 | Trade → |
| Immanuel Quickley: 30+ | 0% | 0¢ | 7¢ | — | $0 | Trade → |
| RJ Barrett: 30+ | 0% | 4¢ | 10¢ | — | $0 | Trade → |
| Scottie Barnes: 15+ | 0% | 60¢ | 63¢ | — | $0 | Trade → |
| RJ Barrett: 15+ | 0% | 69¢ | 74¢ | — | $0 | Trade → |
| Jabari Smith Jr.: 20+ | 0% | 17¢ | 21¢ | — | $0 | Trade → |
| Jabari Smith Jr.: 25+ | 0% | 3¢ | 6¢ | — | $0 | Trade → |
| Scottie Barnes: 25+ | 0% | 10¢ | 13¢ | — | $0 | Trade → |
| RJ Barrett: 25+ | 0% | 18¢ | 24¢ | — | $0 | Trade → |
| Kevin Durant: 35+ | 0% | 7¢ | 11¢ | — | $0 | Trade → |
| Immanuel Quickley: 25+ | 0% | 7¢ | 15¢ | — | $0 | Trade → |
| Reed Sheppard: 20+ | 0% | 19¢ | 26¢ | — | $0 | Trade → |
This market lets traders take positions on the points outcome tied to the Toronto at Houston game, aggregating market expectations about scoring. It matters because it provides a real-time signal about how observers expect scoring to unfold and creates opportunities to hedge or speculate on game-level scoring outcomes.
Toronto and Houston bring different offensive and defensive profiles that influence scoring expectations — one team’s pace, three-point reliance, and interior defense interact with the opponent’s tendencies. Venue (Houston’s home court), recent form, and short-term roster changes (injuries, rest days) all shape game scoring. Because the market spans multiple discrete outcomes, it captures a range of possible point totals rather than a single line.
Prediction market prices summarize the collective view of traders and will move as new information (injuries, rotations, weather for travel, official confirmations) arrives. Treat market prices as a dynamic consensus signal to inform decisions, not as guaranteed outcomes.
Check the market’s outcome labels and instrument description on KALSHI: the title may refer to Toronto’s team points in Houston, the game total, or a set of point ranges; the platform’s outcome list and resolution rules define what is being traded and how each outcome maps to the official stat.
Having 39 discrete outcomes provides fine-grained point thresholds or ranges, which increases resolution granularity but can spread liquidity across many options; the final settled outcome will be the single option whose defined range or exact point value matches the official final statistic per the market rules.
Markets typically adjust rapidly to verified news (injury reports, starting lineup announcements, scratches) as traders update positions; the speed and magnitude of movement depend on liquidity and how unexpected the news is.
If closure is TBD, consult KALSHI for the official close time; most sports point markets close at scheduled game tip-off or when trading is suspended by the exchange, and settlement uses the league’s official box score or the platform’s stated data source.
Whether overtime is included depends on the market’s resolution rules; many point markets use the final official box score (including overtime) unless the listing explicitly restricts settlement to regulation time, so confirm the market description before trading.