| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 158.5 points scored | 41% | 42¢ | 46¢ | — | $640 | Trade → |
| Over 155.5 points scored | 53% | 48¢ | 52¢ | — | $506 | Trade → |
| Over 170.5 points scored | 15% | 15¢ | 22¢ | — | $349 | Trade → |
| Over 173.5 points scored | 11% | 11¢ | 17¢ | — | $329 | Trade → |
| Over 167.5 points scored | 28% | 22¢ | 26¢ | — | $102 | Trade → |
| Over 152.5 points scored | 65% | 54¢ | 60¢ | — | $4 | Trade → |
| Over 143.5 points scored | 75% | 73¢ | 79¢ | — | $1 | Trade → |
| Over 164.5 points scored | 0% | 27¢ | 34¢ | — | $0 | Trade → |
| Over 161.5 points scored | 0% | 34¢ | 41¢ | — | $0 | Trade → |
| Over 146.5 points scored | 0% | 67¢ | 73¢ | — | $0 | Trade → |
| Over 141.5 points scored | 0% | 76¢ | 83¢ | — | $0 | Trade → |
| Over 149.5 points scored | 0% | 61¢ | 67¢ | — | $0 | Trade → |
This prediction market offers tradable outcomes on the combined points scored in the Syracuse at SMU game; it matters because it aggregates trader information about likely game tempo and scoring range.
Syracuse and SMU come from different conferences and typically deploy contrasting offensive and defensive schemes, so matchups and preparation can produce wide variation in total points. Non-conference or cross-conference matchups like this often have limited recent head-to-head history, so situational factors (injuries, roster turnover, time of season) play an outsized role in expected scoring.
Market prices represent the crowd’s assessment of which total-points range is most likely and incorporate real-time information such as injuries, weather, and betting flow; higher trading activity generally makes those assessments more robust, while thin markets can move rapidly on new information.
The market’s official close time is listed as TBD; platforms typically close total-points markets at or just before kickoff, so monitor the event page for the final close time.
The 12 outcomes partition the range of possible combined scores into mutually exclusive buckets (e.g., score ranges or specific totals); consult the event’s outcome labels on the platform to see the exact ranges used for this market.
Home-field can influence tempo and scoring through crowd effects, travel fatigue for the visitor, and familiarity with local conditions; its impact should be considered alongside matchup-specific factors like each team’s road/neutral-site scoring trends.
These markets typically react quickly to confirmed injuries, suspensions, or lineup news because such changes directly alter scoring expectations; the magnitude of movement depends on the role of the affected player and overall market liquidity.
Total volume of $737 indicates modest liquidity: it can still reflect useful information but is more susceptible to larger swings from individual trades or new news than a high-volume market would be—exercise caution and watch for widening spreads and abrupt shifts around news.