| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 75.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 69.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 54.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 57.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 60.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 63.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 66.5 1H points scored | 0% | 44¢ | 48¢ | — | $0 | Trade → |
| Over 72.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 78.5 1H points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
This market trades on the combined points scored by UC San Diego and UC Santa Barbara in the first half of their game; it matters because first-half totals capture tempo and early-game matchups that differ from full-game outcomes.
Both programs have distinct styles and roster compositions that influence early-game scoring—one team may prefer quick possessions and transition scoring while the other emphasizes half-court sets. Historical matchups, season-to-date pace metrics, and where the game is played (home/away/neutral) provide context for expected first-half scoring.
Prediction market prices reflect the aggregate beliefs of traders about how many points will be scored in the first half; use them as a real-time synthesis of public information, injuries, and lineup news rather than a fixed forecast.
The market's close time is listed as TBD; typically first-half total markets close at or shortly before the scheduled tip-off of the first half, so check the platform for the exact cut-off.
Each outcome corresponds to a range or discrete bucket of combined points scored by both teams during the first half; selecting an outcome means you believe the first-half combined score will fall into that specific range.
A late change to the starters can materially alter expected pace and scoring (e.g., replacing a primary scorer or ball-handler usually lowers expected points), and traders typically update prices quickly once lineup news is confirmed.
Head-to-head first-half data can provide context, but beware small sample sizes and roster/coaching changes; combine head-to-head trends with current-season tempo and efficiency metrics for a fuller picture.
Confirmed injuries or scratches during warmups, announced lineup changes, late travel or venue issues, and official game-time weather or facility advisories (if relevant) are the types of developments that typically prompt quick market adjustments.