| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 229.5 points scored | 48% | 46¢ | 48¢ | — | $4K | Trade → |
| Over 226.5 points scored | 54% | 52¢ | 54¢ | — | $473 | Trade → |
| Over 214.5 points scored | 77% | 74¢ | 79¢ | — | $231 | Trade → |
| Over 244.5 points scored | 16% | 16¢ | 19¢ | — | $204 | Trade → |
| Over 223.5 points scored | 60% | 60¢ | 62¢ | — | $134 | Trade → |
| Over 238.5 points scored | 30% | 26¢ | 30¢ | — | $34 | Trade → |
| Over 217.5 points scored | 71% | 69¢ | 72¢ | — | $13 | Trade → |
| Over 220.5 points scored | 61% | 62¢ | 67¢ | — | $4 | Trade → |
| Over 232.5 points scored | 43% | 38¢ | 42¢ | — | $4 | Trade → |
| Over 241.5 points scored | 29% | 20¢ | 26¢ | — | $2 | Trade → |
| Over 235.5 points scored | 42% | 32¢ | 36¢ | — | $2 | Trade → |
This market lets participants buy and sell discrete outcomes tied to the combined points scored in the Memphis at Philadelphia game. It matters because market prices aggregate public information about expected scoring and offer a tradable way to express views on game tempo, injuries, and matchups.
Memphis (road team) and Philadelphia (home team) bring contrasting styles that typically influence scoring: pace of play, offensive talent, and defensive schemes all matter. Historical head-to-head results, current-season scoring trends, recent form, injuries, and scheduling (rest or back-to-back games) provide the background signals traders use to forecast the total.
Market prices across the discrete total-point outcomes represent the collective view of which scoring ranges are most likely; they form an implied distribution of possible game totals. Traders use those prices to compare against their own models or alternative lines and to buy/sell exposure to different scoring scenarios.
This market is listed as closing TBD; most game-total markets close at or immediately before the official game start. Check the market page for the exact closing timestamp before trading.
In-game injuries, early foul trouble for starters, unexpected rotations, pace changes (e.g., both teams pushing in transition), and late-game strategies like intentional fouling or clock management will all materially change the final total.
Monitor each team’s primary scorers, main ball-handlers who control possessions, and key interior defenders or rim protectors whose availability can alter scoring efficiency and opponent shot selection. Changes to these players’ availability or usage rates are high-impact signals.
Treat prices as the market’s consensus about the relative likelihood of each total-point bucket; compare them to your projection to find value. Remember that discrete outcomes form a distribution, so consider probabilities across adjacent buckets rather than a single outcome in isolation.
Lower trading volume can make prices more sensitive to individual bets and less stable, increasing bid-ask risk when entering or exiting positions. Higher liquidity generally produces smoother, more reliable price discovery; review recent trade activity before placing large orders.