| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 151.5 points scored | 0% | 59¢ | 66¢ | — | $0 | Trade → |
| Over 169.5 points scored | 0% | 20¢ | 27¢ | — | $0 | Trade → |
| Over 160.5 points scored | 0% | 39¢ | 45¢ | — | $0 | Trade → |
| Over 148.5 points scored | 0% | 66¢ | 72¢ | — | $0 | Trade → |
| Over 163.5 points scored | 0% | 32¢ | 39¢ | — | $0 | Trade → |
| Over 142.5 points scored | 0% | 76¢ | 84¢ | — | $0 | Trade → |
| Over 157.5 points scored | 0% | 46¢ | 50¢ | — | $0 | Trade → |
| Over 166.5 points scored | 0% | 26¢ | 33¢ | — | $0 | Trade → |
| Over 145.5 points scored | 0% | 71¢ | 78¢ | — | $0 | Trade → |
| Over 172.5 points scored | 0% | 14¢ | 22¢ | — | $0 | Trade → |
| Over 154.5 points scored | 0% | 54¢ | 58¢ | — | $0 | Trade → |
This market asks which total-points range the combined score of the UC San Diego at Cal State Fullerton game will fall into; it matters because it captures expectations about scoring, pace, and game flow for this specific matchup.
UC San Diego (Tritons) and Cal State Fullerton (Titans) are NCAA programs whose seasonal offensive and defensive profiles shape expectations for combined scoring. Historical meeting results, conference context, and each team's in-season trends provide useful context, though matchup-specific factors can shift expectations. The market's multiple outcomes let traders target precise total-point ranges rather than a single over/under line.
Market prices represent the current consensus about which total-point range is most likely, and they change as new information arrives. Use price moves alongside pregame information (lineups, injuries, rest) to gauge how expectations are evolving.
Close time for this specific market is listed as TBD; platforms commonly close markets at or just before game tip-off and settle using the official final combined score per the game authority. Check the platform's event page and rules for the precise close and settlement procedure for this market.
The 11 outcomes are discrete total-point buckets covering different ranges of combined scores for this game; the winning outcome is the bucket that contains the official final combined score. Review the market labels to see the exact point ranges for each outcome.
Late reports and lineup announcements are high-impact inputs: the absence of a primary scorer tends to lower expected totals, while the loss of a defensive anchor can push expectations higher. Monitor official team releases and credible beat reporters close to tip-off, as prices often react quickly to that information.
Head-to-head history can highlight stylistic matchups that produce unusually high or low scores, but sample sizes are often small. Combine any head-to-head patterns with season-long offensive/defensive metrics and recent form to form a balanced view.
Most markets settle using the official final score after all play has concluded, including overtime; however, confirm the platform's settlement rules for this event to be certain.