| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| TCU wins by over 49.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| TCU wins by over 25.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| TCU wins by over 37.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| TCU wins by over 40.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| TCU wins by over 46.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| TCU wins by over 19.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| TCU wins by over 28.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| TCU wins by over 43.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| TCU wins by over 22.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| TCU wins by over 34.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| TCU wins by over 31.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how the point spread will fall for the UC San Diego at TCU matchup; it matters because spread markets let traders express views about margin of victory rather than just the winner. Outcomes affect payoff based on which spread interval is realized at settlement.
The event pits the University of California, San Diego (visitor) against Texas Christian University (home) in a single game where site, travel, and matchup dynamics matter. TCU plays home games in Fort Worth, Texas; UC San Diego travels from the West Coast — those logistical and regional differences, along with conference strength and coaching styles, provide useful context even if the teams have limited direct history.
Market prices reflect the collective view on which side of various spread thresholds the final margin will land; a given outcome being favored simply indicates the market consensus that that margin range is more likely than others. Always check the contract specs to understand exactly which final-score scenarios correspond to each listed outcome.
The event page currently lists the market close as TBD; markets like this typically close before game start or at a predetermined cutoff published on the platform. Check the market page for the official, updated close time and any last-minute changes.
Each outcome corresponds to a specific spread interval or margin bucket (for example, TCU by X points, UC San Diego by Y points, or a tie bucket). The market details tab will list the exact point values or ranges that map to each outcome.
Settlement will use the official final score from the designated data source named in the market rules; refer to the contract terms to see whether overtime counts and which scoreboard is authoritative. The platform’s settlement rules govern final payouts.
Use head-to-head history where available, but if the teams have few past meetings, place greater weight on recent form, strength of schedule, and comparable opponent performance. Differences in conferences and roster turnover can limit how predictive distant past meetings are.
Key drivers include the availability and form of primary scorers or quarterbacks, defensive anchors, bench depth, major injuries or suspensions, reported illness, and situational factors like travel fatigue or short rest. Late lineup news and weather (for outdoor sports) can also move the market.