| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| USC Upstate wins by over 10.5 Points | 52% | 50¢ | 52¢ | — | $1K | Trade → |
| USC Upstate wins by over 13.5 Points | 76% | 40¢ | 44¢ | — | $5 | Trade → |
| USC Upstate wins by over 4.5 Points | 77% | 59¢ | 82¢ | — | $5 | Trade → |
| USC Upstate wins by over 7.5 Points | 73% | 50¢ | 72¢ | — | $5 | Trade → |
| USC Upstate wins by over 1.5 Points | 0% | 69¢ | 91¢ | — | $0 | Trade → |
| Gardner-Webb wins by over 5.5 Points | 0% | 3¢ | 52¢ | — | $0 | Trade → |
| USC Upstate wins by over 16.5 Points | 0% | 18¢ | 32¢ | — | $0 | Trade → |
| USC Upstate wins by over 19.5 Points | 0% | 10¢ | 32¢ | — | $0 | Trade → |
| USC Upstate wins by over 22.5 Points | 0% | 4¢ | 26¢ | — | $0 | Trade → |
| USC Upstate wins by over 25.5 Points | 0% | 3¢ | 53¢ | — | $0 | Trade → |
| Gardner-Webb wins by over 2.5 Points | 0% | 3¢ | 18¢ | — | $0 | Trade → |
This market lets traders express expectations about the point spread in the Gardner-Webb at USC Upstate game; it matters because it aggregates real-time views on which team will cover and reveals how new information is being priced.
Gardner-Webb and USC Upstate are NCAA Division I mid-major programs from the same region whose meetings can be decided by pace, shooting, depth and matchup advantages. Rosters and team performance can change quickly year to year, so pregame news—injuries, starting lineups, travel and rest—often plays an outsized role in market moves.
In a spread market, quoted prices reflect the collective assessment of whether a team will cover a particular margin; price shifts show how participants react to incoming information rather than representing immutable truth. Use the market alongside box-score metrics, matchup analysis and injury reports to form a trading view.
The event page currently lists the close time as TBD; on this platform spread markets typically close shortly before the scheduled game start, so check the event page for the official closing timestamp before trading.
They represent multiple point-spread thresholds or margin bands for the game, giving traders granular options to express how large a margin they expect rather than a single binary outcome.
Late injuries or starter changes are high-impact for this market: evaluate the affected player's role (scoring, defense, minutes) and expect rapid price movement if the player is important; smaller role changes usually move the market less.
Home-court typically matters—crowd, familiarity and travel can shift expectations toward the home team—but the magnitude depends on each team’s home/away performance and travel burden, so weigh home advantage together with recent results.
Historical head-to-heads can reveal matchup tendencies, but samples are often small and rosters turn over annually; combine any head-to-head patterns with current-season stats, injuries and lineup information for a more reliable assessment.