| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Jayson Tatum: 5+ | 48% | 45¢ | 48¢ | — | $346 | Trade → |
| Jaylen Brown: 8+ | 14% | 7¢ | 14¢ | — | $7 | Trade → |
| Jayson Tatum: 4+ | 59% | 61¢ | 68¢ | — | $4 | Trade → |
| Payton Pritchard: 6+ | 39% | 35¢ | 38¢ | — | $4 | Trade → |
| Dennis Schröder: 4+ | 58% | 40¢ | 68¢ | — | $1 | Trade → |
| James Harden: 6+ | 83% | 76¢ | 83¢ | — | $1 | Trade → |
| Derrick White: 10+ | 0% | 2¢ | 9¢ | — | $0 | Trade → |
| Payton Pritchard: 2+ | 0% | 90¢ | 98¢ | — | $0 | Trade → |
| James Harden: 8+ | 0% | 51¢ | 55¢ | — | $0 | Trade → |
| Jaylen Brown: 2+ | 0% | 87¢ | 96¢ | — | $0 | Trade → |
| Derrick White: 2+ | 0% | 91¢ | 99¢ | — | $0 | Trade → |
| Jaylen Brown: 5+ | 0% | 44¢ | 48¢ | — | $0 | Trade → |
| James Harden: 10+ | 0% | 24¢ | 30¢ | — | $0 | Trade → |
| Jayson Tatum: 2+ | 0% | 88¢ | 96¢ | — | $0 | Trade → |
| Derrick White: 8+ | 0% | 14¢ | 21¢ | — | $0 | Trade → |
| Jayson Tatum: 8+ | 0% | 8¢ | 16¢ | — | $0 | Trade → |
| Jayson Tatum: 6+ | 0% | 29¢ | 36¢ | — | $0 | Trade → |
| Derrick White: 4+ | 0% | 70¢ | 78¢ | — | $0 | Trade → |
| James Harden: 12+ | 0% | 0¢ | 39¢ | — | $0 | Trade → |
| Payton Pritchard: 8+ | 0% | 11¢ | 18¢ | — | $0 | Trade → |
| Dennis Schröder: 8+ | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Dennis Schröder: 10+ | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Dennis Schröder: 6+ | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| Dennis Schröder: 2+ | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Jaylen Brown: 6+ | 0% | 28¢ | 34¢ | — | $0 | Trade → |
| Payton Pritchard: 5+ | 0% | 51¢ | 55¢ | — | $0 | Trade → |
| Jaylen Brown: 4+ | 0% | 61¢ | 66¢ | — | $0 | Trade → |
| James Harden: 4+ | 0% | 91¢ | 99¢ | — | $0 | Trade → |
| Payton Pritchard: 4+ | 0% | 66¢ | 73¢ | — | $0 | Trade → |
| Derrick White: 6+ | 0% | 40¢ | 43¢ | — | $0 | Trade → |
This market covers assist-related outcomes for the Boston at Cleveland game — a way to trade on how playmaking and ball movement will shape this specific matchup. Assists matter because they capture team chemistry, pace, and who is facilitating scoring during the game.
Boston and Cleveland bring distinct offensive identities and primary ball‑handlers that drive assist patterns: one team may emphasize structured ball movement and role-player passing while the other may rely more on pick‑and‑roll creation by its lead guard. Recent schedules, travel, and any lineup or injury news for either team can shift how much the ball is shared in this particular game. Historical head‑to‑head tendencies provide context, but game‑to‑game variables often dominate assist outcomes.
Market prices are shorthand for the crowd’s view of expected assist outcomes and will move as new information arrives (e.g., starting lineups, injuries, coaching announcements). Use prices as a real‑time signal rather than a fixed forecast — they change with news and in‑game developments.
The starters determine who handles early possessions and playmaking duties; a lineup with a traditional lead guard usually concentrates assist opportunities, while lineups with multiple ball‑dominant scorers can shift assists to cutters and secondary creators. Bench minutes and role players named to start will also change projected assist distribution.
Removing a primary creator often reduces that team’s raw assist potential but can increase assists for other Cleveland playmakers who absorb ball‑handling minutes; market prices typically adjust to reflect the net change in team assist production and any expected changes to pace or shot quality.
Home‑court can influence pace, rhythm, and rotation decisions — home teams sometimes push tempo or maintain tighter rotations — all of which affect assist totals. Crowd influence and familiarity with the arena can also affect passing decisions and late‑game playcalling.
Watch whether either coach plans to emphasize ball‑movement sets, isolate a scorer, or use heavy pick‑and‑rolls; defensive tactics like aggressive on‑ball pressure or drop coverage change passing lanes and assist opportunities. Matchups that force switches or create mismatches can increase assists via kick‑out passes and backdoor cuts.
Look at recent head‑to‑head games and each team’s last several outings for patterns in pace, assist rate, and who is touching the ball most; also consider any lineup continuity or roster changes since prior meetings, as those can materially alter assist dynamics even if long‑term history suggests a different baseline.