| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 117.5 1H points scored | 0% | 45¢ | 51¢ | — | $0 | Trade → |
| Over 105.5 1H points scored | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Over 120.5 1H points scored | 0% | 2¢ | 98¢ | — | $0 | Trade → |
| Over 126.5 1H points scored | 0% | 2¢ | 98¢ | — | $0 | Trade → |
| Over 129.5 1H points scored | 0% | 0¢ | 100¢ | — | $0 | Trade → |
| Over 108.5 1H points scored | 0% | 2¢ | 98¢ | — | $0 | Trade → |
| Over 111.5 1H points scored | 0% | 2¢ | 98¢ | — | $0 | Trade → |
| Over 114.5 1H points scored | 0% | 2¢ | 98¢ | — | $0 | Trade → |
| Over 123.5 1H points scored | 0% | 2¢ | 98¢ | — | $0 | Trade → |
This market asks how many total points will be scored in the first half of the Memphis vs Philadelphia game; it matters to traders and bettors who want to express views on early-game scoring dynamics or hedge in-play positions.
Memphis and Philadelphia bring different offensive and defensive identities that shape early-game scoring—one roster may favor faster possessions while the other emphasizes halfcourt creation. Historical matchups, season-long pace and recent roster availability all provide context for first-half production, and schedule factors (rest, travel, back‑to‑back situations) can shift expected output.
Market prices reflect the collective view of expected first-half scoring across the available outcome buckets; interpret them as the market consensus subject to change as new information (injuries, rotations, game-time decisions) arrives.
It is the combined number of points scored by both teams during the official first half (end of the second quarter) of this specific Memphis vs Philadelphia game as recorded by the official scorer.
The market's close time is listed as TBD on the event page; final settlement is based on the official first-half score at the end of the second quarter, so check the market page for the posted close time before the game.
The nine outcomes partition possible first-half totals into discrete buckets or thresholds so traders can buy exposure to different ranges of first-half scoring rather than a single continuous number.
Head-to-head first-half history can highlight matchup tendencies, but it should be weighted alongside recent team form, roster changes, venue, and schedule differences that materially affect first-half scoring.
Monitor official injury reports and pregame confirmations—late absences or planned rest for primary first-half contributors can materially reduce or increase expected scoring by changing usage, pace, and rotation structure.