| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 114.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 129.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 111.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 132.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 120.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 126.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 123.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 108.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 135.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 117.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 105.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets participants take positions on the combined points scored by USC and Clemson in their matchup; totals markets matter because they focus on scoring dynamics rather than which team wins.
USC (Trojan) and Clemson (Tiger) matchups are college football games where team styles, coaching, and situational factors drive scoring. Historical meeting context, season form, and roster changes all influence expected scoring levels and thus the total-points market.
Market prices reflect collective expectations about how many points both teams will combine for; interpret prices as the crowd’s evolving view of likely scoring rather than fixed predictions.
They represent a discrete set of total-point outcomes or ranges offered by the market operator; check the event page for the exact point bins or threshold definitions used for settlement.
Inclusion of overtime varies by market rules—some totals count only regulation time while others include overtime—so confirm the settlement policy on the platform’s event details.
Closing time is set by the market operator and is often just before kickoff or when the market is locked; because this event currently shows 'Closes: TBD', monitor the platform for the announced cutoff.
Late injuries to quarterbacks, primary skill players, or key specialists can materially shift expected scoring—track official injury reports and pregame updates and be prepared for quick market movement if availability changes.
Home-field factors—crowd noise, travel for the opponent, familiar playing surface—can affect play-calling and efficiency; also consider local weather patterns and stadium characteristics when assessing scoring potential.