| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| UCLA wins the 1H by over 1.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| USC wins the 1H by over 11.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| USC wins the 1H by over 8.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| USC wins the 1H by over 5.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| USC wins the 1H by over 2.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| UCLA wins the 1H by over 4.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| UCLA wins the 1H by over 7.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| UCLA wins the 1H by over 10.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| UCLA wins the 1H by over 13.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| UCLA wins the 1H by over 16.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
| UCLA wins the 1H by over 19.5 points | 0% | 0¢ | 99¢ | — | $0 | Trade → |
This market focuses on the first-half point spread between UCLA and USC, letting traders express views on which team will lead or by how much at halftime. It matters because first-half outcomes reflect opening-game strategy and can diverge from full-game expectations.
UCLA vs USC is a long-standing college football rivalry where early-game momentum often stems from scripted plays, special teams, and emotional intensity. First-half scoring patterns in this matchup have varied by season; current rosters, starting quarterbacks, and coaching game plans are primary drivers of the immediate matchup dynamics.
Market prices represent the collective view of traders about likely halftime margins and will move as new information arrives; they are a real-time snapshot of expectations rather than a fixed prediction.
It measures the point differential between UCLA and USC at the official halftime; the market settles based on the halftime score reported by the event's official data source.
The multiple outcomes partition possible halftime margins into discrete buckets (including a tie/push outcome); read the outcome labels on the event page to see which margin ranges each outcome represents.
Starting quarterback or other key-player injuries, unexpected depth-chart changes, significant weather or field-condition updates, coaching announcements about play-calling, and any kickoff-time shifts tend to drive late market movement.
Closure time is shown on the event page (currently TBD); typically first-half markets close at or just before kickoff to avoid trading on immediate in-game events, and settlement uses the official halftime score from the game's reporting authority.
Consider recent head-to-head and season-to-date first-half trends for context, but prioritize current-season roster health, starting-lineup continuity, and coaching approaches since those factors usually have stronger predictive value than long-term rivalry history.