| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| ✓ Donovan Mitchell: 25+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ Evan Mobley: 15+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Wendell Carter Jr.: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Desmond Bane: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dennis Schröder: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ James Harden: 20+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ Paolo Banchero: 20+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Evan Mobley: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Paolo Banchero: 15+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Dennis Schröder: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wendell Carter Jr.: 15+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Desmond Bane: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Evan Mobley: 10+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ James Harden: 15+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ Donovan Mitchell: 30+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Evan Mobley: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Evan Mobley: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Donovan Mitchell: 35+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Desmond Bane: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dennis Schröder: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Paolo Banchero: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Paolo Banchero: 25+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ Donovan Mitchell: 20+ | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| James Harden: 30+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Paolo Banchero: 35+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Desmond Bane: 20+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wendell Carter Jr.: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| James Harden: 25+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders express expectations about the final points outcome for the Orlando at Cleveland game; it matters for bettors and analysts who want a market-based view of scoring outcomes ahead of the matchup.
Orlando and Cleveland are NBA teams with distinct offensive and defensive profiles; their recent form, roster changes, and coaching strategies all shape scoring dynamics. Historical matchups, home/away splits, and scheduling (rest, travel, back-to-backs) provide context but outcomes can shift quickly as injuries or lineup changes are announced.
Market odds aggregate participant expectations about which discrete points outcome will occur and update as new information arrives; think of prices as the market’s snapshot of how participants are weighting the possible scoring outcomes rather than a fixed prediction.
Closure is listed as TBD for this market; on most platforms markets close at or shortly before scheduled tipoff or when the operator sets a definitive close—check the KALSHI interface or the market’s clock for the exact cutoff.
The 25 outcomes partition the possible final points outcome into discrete buckets or exact totals defined by the market creator; consult the market’s outcome list on the platform to see the precise ranges or point values that each outcome corresponds to.
A confirmed last-minute absence typically shifts expected scoring: loss of a primary scorer usually lowers that team’s expected points and can change pace and rotation patterns, while bench players’ projected minutes and role changes become crucial—prices will adjust as news is confirmed.
Whether overtime is included depends on the market’s settlement rules; some markets use regulation-only scoring while others include overtime—verify the market description or rules on KALSHI to know which applies.
Use head-to-head history and recent team trends as inputs, but adjust for current roster composition, injuries, and schedule differences; give more weight to recent form and context-specific factors (pace, home/away, key player matchups) rather than long-ago results.