| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Jarace Walker: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Paolo Banchero: 20+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Jalen Suggs: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wendell Carter Jr.: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Paolo Banchero: 25+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Desmond Bane: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Suggs: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Suggs: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jalen Suggs: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Jarace Walker: 15+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Jarace Walker: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wendell Carter Jr.: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Paolo Banchero: 35+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Paolo Banchero: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wendell Carter Jr.: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Jarace Walker: 10+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Desmond Bane: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Desmond Bane: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Desmond Bane: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market covers point-related outcomes for the Indiana at Orlando NBA game; it aggregates trader expectations about scoring outcomes and is useful for tracking how new information shifts those expectations.
Indiana and Orlando matchups can produce different scoring profiles depending on rotations, pace of play, and recent roster changes. Historical head-to-head results and seasonal offensive/defensive trends provide context, but each game's scoring outcome depends heavily on the specific availability of key players and game-day factors.
Market prices reflect the collective view of participants about which points outcomes are most likely and update as new information arrives; treat them as real-time signals rather than fixed forecasts.
The 19 outcomes correspond to distinct point thresholds or ranges specified by the market (for example team totals or combined totals at different cutoffs). Check the market’s outcome labels to see how each one maps to the final official box-score numbers.
Settlement is based on the official game statistics published by the league’s box score for the game; whether overtime is included depends on the market’s settlement rules, so confirm the event description for that detail.
They can move prices immediately—early injury reports, starter confirmations, and last-minute scratches are high-impact information because they change expected scoring distributions and rotations.
Use recent form and head-to-head trends to inform expectations about pace and efficiency, but prioritize current rotation information, offensive/defensive ratings over the last several games, and contextual factors like rest and venue.
Resolution in those situations follows the trading platform’s official rules (typically posted with the market). Common outcomes include voiding the market or settling based on rescheduled game results; check KALSHI’s event-specific rules for the final policy.