| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Jaden McDaniels: 20+ | 27% | 0¢ | 27¢ | — | $542 | Trade → |
| Anthony Edwards: 30+ | 54% | 47¢ | 52¢ | — | $239 | Trade → |
| Julius Randle: 20+ | 49% | 44¢ | 49¢ | — | $189 | Trade → |
| Donte DiVincenzo: 15+ | 36% | 0¢ | 36¢ | — | $161 | Trade → |
| Anthony Edwards: 25+ | 77% | 50¢ | 75¢ | — | $152 | Trade → |
| Jaden McDaniels: 15+ | 56% | 44¢ | 54¢ | — | $102 | Trade → |
| Anthony Edwards: 35+ | 30% | 3¢ | 30¢ | — | $59 | Trade → |
| Donte DiVincenzo: 10+ | 65% | 0¢ | 65¢ | — | $27 | Trade → |
| Anthony Edwards: 40+ | 18% | 0¢ | 15¢ | — | $26 | Trade → |
| Jaden McDaniels: 10+ | 80% | 0¢ | 80¢ | — | $23 | Trade → |
| Jaylen Wells: 10+ | 63% | 57¢ | 63¢ | — | $15 | Trade → |
| Rudy Gobert: 10+ | 67% | 55¢ | 64¢ | — | $10 | Trade → |
| Julius Randle: 15+ | 79% | 62¢ | 74¢ | — | $6 | Trade → |
| Donte DiVincenzo: 25+ | 0% | 0¢ | 6¢ | — | $0 | Trade → |
| Julius Randle: 30+ | 0% | 0¢ | 8¢ | — | $0 | Trade → |
| Jaylen Wells: 15+ | 0% | 0¢ | 34¢ | — | $0 | Trade → |
| Jaden McDaniels: 25+ | 0% | 0¢ | 9¢ | — | $0 | Trade → |
| Jaylen Wells: 20+ | 0% | 0¢ | 15¢ | — | $0 | Trade → |
| Rudy Gobert: 20+ | 0% | 0¢ | 9¢ | — | $0 | Trade → |
| Julius Randle: 25+ | 0% | 0¢ | 22¢ | — | $0 | Trade → |
| Donte DiVincenzo: 20+ | 0% | 0¢ | 16¢ | — | $0 | Trade → |
| Rudy Gobert: 15+ | 0% | 4¢ | 28¢ | — | $0 | Trade → |
This market lets traders take positions on the points outcome for the Memphis at Minnesota basketball game; it matters because point-based contracts capture expectations about pace, scoring efficiency, and game flow.
Memphis and Minnesota have contrasting identities that can push a game toward higher or lower scoring — one team may emphasize defense and physicality while the other leans on outside shooting and isolation offense. Historical matchups, coaching tendencies, and roster construction (bigs vs. guards, defensive schemes) are commonly used to contextualize expected point totals.
Market prices reflect the collective expectation of traders and update as new information arrives (injuries, starting lineups, rest, pace indicators); use prices as a snapshot of market sentiment rather than a fixed forecast.
The market’s contract(s) specify which points outcome(s) are being traded (for example, total game points, one team’s points, or discrete point-range buckets); consult the market description on the platform for the precise definition and settlement rules.
Closing and settlement timing are determined by the market operator — many sports markets close at or just before game tip-off and settle after official game statistics are posted; check the market page for the exact close time and settlement policy.
Absences of primary scorers, the lead playmaker or a defensive anchor who alters pace or scoring matchups typically have the largest effect; losing a top scorer reduces expected points whereas losing a defensive specialist can push totals higher.
Prices can move rapidly as information arrives; last-minute scratches and confirmed starters are incorporated by traders and algorithms within minutes, so expect swift repricing once lineup news is official.
Resolution in those scenarios follows the exchange’s rulebook — common outcomes include voiding the market and returning funds, or holding the market open until a rescheduled game is played; verify the platform’s postponed/cancellation policy on the event page.