| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 138.5 points scored | 98% | 62¢ | 67¢ | — | $6K | Trade → |
| Over 144.5 points scored | 52% | 48¢ | 51¢ | — | $956 | Trade → |
| Over 141.5 points scored | 62% | 55¢ | 60¢ | — | $797 | Trade → |
| Over 147.5 points scored | 45% | 40¢ | 45¢ | — | $162 | Trade → |
| Over 132.5 points scored | 74% | 73¢ | 79¢ | — | $1 | Trade → |
| Over 156.5 points scored | 0% | 20¢ | 26¢ | — | $0 | Trade → |
| Over 135.5 points scored | 0% | 67¢ | 74¢ | — | $0 | Trade → |
| Over 130.5 points scored | 0% | 76¢ | 83¢ | — | $0 | Trade → |
| Over 159.5 points scored | 0% | 17¢ | 21¢ | — | $0 | Trade → |
| Over 162.5 points scored | 0% | 13¢ | 18¢ | — | $0 | Trade → |
| Over 150.5 points scored | 0% | 33¢ | 38¢ | — | $0 | Trade → |
| Over 153.5 points scored | 0% | 26¢ | 31¢ | — | $0 | Trade → |
This market asks how many combined points will be scored in the Temple at Florida Atlantic game and offers multiple outcome bands for bettors to choose from. It matters because total-points markets aggregate real-time information about expected scoring and game conditions that affect betting and hedging decisions.
Temple and Florida Atlantic are the two competing programs for this matchup; historical scoring trends between them, each program's recent offensive and defensive performance, and the sport's seasonal context shape expectations for total points. Because closing time is listed as TBD, the market can move as roster news, weather, or coaching strategy become public.
Market prices on each outcome reflect the crowd’s consensus about likely scoring ranges and update as new information arrives; treat them as a snapshot of collective expectations rather than fixed forecasts.
The event page shows the close time as TBD; the market will close according to the platform’s finalization rules, typically just before game start or at the scheduled lock time listed on the trading interface.
Late injuries to key offensive contributors tend to lower expected scoring because they reduce a team’s efficiency and scoring options; conversely, returns from injury or confirmed availability can increase expected scoring.
Head-to-head results can indicate matchup patterns (e.g., whether games tend to be high- or low-scoring), but small sample sizes and roster turnover mean recent season-level offensive and defensive metrics are usually more informative.
Home teams often perform better offensively and have familiarity with conditions; travel, crowd noise, and any local environmental factors (including weather for outdoor events) can all influence possession efficiency and scoring.
Each outcome corresponds to a different band or threshold for total combined points (different over/under ranges). The market resolves to the outcome whose defined point range contains the official game total as determined by the platform’s resolution rules.