| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Wichita St. wins the 1H by over 6.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Florida wins the 1H by over 18.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Florida wins the 1H by over 15.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Florida wins the 1H by over 6.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wichita St. wins the 1H by over 9.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wichita St. wins the 1H by over 12.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Florida wins the 1H by over 3.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Florida wins the 1H by over 9.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| South Florida wins the 1H by over 12.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Wichita St. wins the 1H by over 3.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which side will cover the first-half point spread between Wichita State and South Florida. It matters to traders who want to isolate and trade the opening-half dynamics separately from full-game outcomes.
Wichita State and South Florida meet in a college basketball contest where first-half performance can diverge from full-game results because of pace, rotations, and matchup-specific adjustments. Conference scheduling, travel, and midseason roster changes (injuries, lineup shifts) often shape short-term edges that traders try to capture in a first-half spread market.
Market prices reflect the collective expectation for which side will cover the first-half spread and how confident traders are about that expectation; prices move as new information (injuries, lineup announcements, betting flows) arrives.
The platform will publish a closing time; first-half spread markets typically close before opening tip (or at a short cutoff before the first half), so check the market page or platform notifications for the exact timestamp.
Late injuries or lineup changes that affect primary scorers, ball-handlers, or key defenders usually move the market quickly because they materially change first-half matchup expectations; traders should monitor official team reports and verified social/team channels.
Head-to-head first-half history can provide context but often has limited predictive power by itself due to roster turnover and small sample sizes; combine it with current-season first-half splits, recent form, and matchup-specific factors.
Focus on the starters who handle the ball, primary scorers and defensive anchors—those players set the tone early; any reported changes to those roles or minute expectations are particularly relevant to first-half pricing.
The ten outcomes typically correspond to a range of discrete first-half spread buckets (different point-differential scenarios or lines); consult the market's outcome labels on the platform to see the exact spread bands and how each outcome is defined.