| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| VJ Edgecombe: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jrue Holiday: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Donovan Clingan: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| VJ Edgecombe: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Deni Avdija: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Deni Avdija: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Deni Avdija: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Donovan Clingan: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Deni Avdija: 12+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Donovan Clingan: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| VJ Edgecombe: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jrue Holiday: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jrue Holiday: 10+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Deni Avdija: 7+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| VJ Edgecombe: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jrue Holiday: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| VJ Edgecombe: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jrue Holiday: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Donovan Clingan: 8+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Donovan Clingan: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how assists will play out in the Portland at Philadelphia game — a way to bet on the game’s playmaking and ball movement rather than final score. It matters because assist totals reflect team pace, shot creation, and lineup decisions that can shift game dynamics.
Portland and Philadelphia are NBA teams with contrasting offensive profiles that influence assist patterns: one team may rely more on isolation scoring while the other emphasizes ball movement and entry passes. Historical matchups, recent roster changes, and coaching priorities (pace, use of pick-and-roll, bench rotations) all shape likely assist outcomes. Because the market closes TBD, traders should follow pregame news for lineup and injury updates that affect playmaking.
Market odds aggregate traders’ expectations about assist outcomes and serve as a real-time consensus signal; use them alongside your own research and risk tolerance. Treat odds as indicators of relative market sentiment, not guarantees of a specific assist total.
The market close time is listed as TBD; typically similar event markets lock before tip-off or when live play begins, so check the KALSHI platform for the final close time and any updates.
Each outcome corresponds to a specific assist-related result offered by the market (for example discrete assist totals or ranges and thresholds); consult the market page to see the exact labels for each of the 20 outcomes.
Assists are recorded according to the official scorer’s credit used in NBA box scores: a pass credited as directly leading to a made field goal is an assist, and the market uses those official statistics.
Focus on the primary ball‑handlers and playmakers — typically the starting point guards and lead facilitators, plus any high‑usage guards or forwards who create for others; bench guards who play heavy minutes can also materially shift assist totals.
Use recent team assist trends and head‑to‑head history as context, but adjust for roster changes, injuries, matchup differences, and schedule factors; a single game sample can mislead, so prioritize consistent patterns and current lineup information.