| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 57.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 72.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 75.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 78.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 60.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 66.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 69.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 63.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 54.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which first-half scoring range will occur in the UConn vs. St. John's game. First-half total markets matter because they isolate the opening 20 minutes of play and let traders express views on pace, starters, and early-game matchups independent of the full game's outcome.
UConn and St. John's are regular opponents in the same conference with differing offensive styles from year to year; matchups between them often draw attention because both programs have significant histories and fan interest. Short-term factors such as offseason roster turnover, conference scheduling, and coaching adjustments can change how aggressive each team is early in games, so look at recent first-half performance and head-to-head samples when assessing expectations.
Market prices here represent traders' consensus about which of the nine first-half total buckets will contain the final first-half score in this specific matchup. Price movements reflect new information — lineup announcements, injuries, or other game-day developments — and can be used to track evolving expectations.
It measures the combined points scored by both teams during the game's first half; each outcome corresponds to a specific scoring range (bucket) for that 20-minute period.
Nine outcomes means the first-half total is divided into nine distinct ranges. Narrower buckets concentrate resolution into tighter score bands, so check the platform for the exact ranges and consider whether you expect a typical, low, or high-scoring opening half.
The event listing shows the close time as TBD; you should monitor the trading platform or official event page for updates and for the posted trading cut-off before the game.
Monitor official injury/status updates, confirmed starting lineups, late roster changes, and any news about rest or travel. Also watch market volume and public commentary, since heavy new information can shift expectations quickly.
Use recent first-half scoring trends and head-to-head samples as context — look at pace, early offensive efficiency, and whether either team tends to start strong or slow. Give more weight to recent games and to matchups that reflect current rosters and coaching schemes.