| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 116.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 119.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 122.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 125.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 128.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 131.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 134.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 137.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 140.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 143.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 146.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 148.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many total points will be scored in the college football game between TCU and South Carolina; it aggregates trader expectations about game scoring into a set of tradable outcomes. It matters because total-points markets distill many game factors—offense, defense, weather, injuries—into a single, easy-to-track metric.
TCU and South Carolina come from different conferences and typically present contrasting styles of play; matchup dynamics between TCU's offensive approach and South Carolina's defensive scheme will shape scoring expectations. Historical head-to-head results and recent seasonal trends for each program provide context but can be less predictive than current-season personnel, health, and coaching decisions. The game location (South Carolina’s home stadium) and any late-breaking roster or weather news are often decisive for totals markets.
Market prices indicate the collective judgement of traders about which scoring ranges or thresholds are most likely and will shift as new information (injuries, weather, lineup updates) arrives. Prices are signals of consensus, not guarantees; use them alongside your own research on matchup specifics.
Each outcome corresponds to a specific scoring bucket or threshold for combined points in the game; consult the market detail page on the platform to see the exact point ranges mapped to each outcome.
The listed close time is TBD on the event page; typically these markets close shortly before kickoff, but you should check the market’s timeline on the platform for the official final close time.
A missing or limited starter can reduce offensive efficiency or push a team toward safer play-calling, often lowering expected scoring; evaluate the backup’s experience, the coaching staff’s likely game plan adjustments, and any correlated changes on defense or special teams.
Adverse weather (heavy rain, strong winds) or a poor field surface tends to suppress passing and kicking accuracy and can reduce total points, while clear, calm conditions favor higher-scoring games; check game-day forecasts and stadium specifics for this matchup.
If trading continues into late pregame or live periods, prices will respond quickly to developments that materially alter scoring expectations—like confirmed injuries, ejections, or weather shifts—but if the market closes before kickoff, pregame prices already incorporate available information up to that close.