| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| New Orleans over 96.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New Orleans over 99.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New Orleans over 102.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New Orleans over 105.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New Orleans over 108.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New Orleans over 111.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New Orleans over 114.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New Orleans over 117.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| New Orleans over 120.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Houston over 104.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Houston over 107.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Houston over 110.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Houston over 113.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Houston over 116.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Houston over 119.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Houston over 122.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Houston over 125.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Houston over 128.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market offers trades on the team scoring totals for the Houston team and the New Orleans team in their head‑to‑head game; it matters because team totals isolate offensive output and let traders position on expected scoring rather than game winner.
Team totals markets draw on game‑level factors such as recent offensive and defensive form, roster availability, coaching strategy, and venue. Historical head‑to‑head results and seasonal scoring trends provide context, but single‑game variability (injuries, weather, rotations) can shift expectations quickly.
Prices in this market reflect the collective judgment about which scoring ranges for each team are considered more or less likely; track price movement as news arrives to see how the market updates its view.
The 18 outcomes partition possible scoring results into discrete ranges or specific total brackets for one or both teams; each outcome corresponds to a defined scoring window that will determine settlement according to the platform's rules.
The event page currently shows the close time as TBD; typically team totals markets close at or just before game start, but check the event page for the official closing timestamp and any updates.
Monitor official injury reports and team announcements—last‑minute absences for primary scorers or key defenders tend to move team total prices quickly. Decide whether to trade early to avoid volatility or wait for clearer information, and consider hedging if your position is sensitive to such news.
Resolution follows the platform’s event‑resolution policy. Common outcomes include voiding trades if the game does not reach a minimum completion threshold or applying the platform’s documented tie‑breaking/resolution rules; consult KALSHI’s official terms on the event page for specifics.
Prior meetings give a sense of historical scoring tendencies and matchup quirks, but sample size and roster/coaching changes limit their predictive power. Use recent head‑to‑head trends alongside current season form, injuries, and situational factors rather than relying solely on older results.