| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 93.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Over 69.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ Over 78.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| ✓ Over 72.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Over 84.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 81.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 87.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| ✓ Over 75.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Resolved |
| Over 90.5 1H points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many total points will be scored in the first half of the college basketball game between High Point and Arkansas. It matters to traders who want to express a view on early-game scoring dynamics or hedge exposure to game-opening conditions.
High Point (Big South) and Arkansas (SEC) come from different conferences and typical styles of play, which can create mismatches in tempo and defensive strength. First-half scoring reflects opening lineups, early-game strategies, and how coaches choose to start the contest rather than full-game adjustments that occur later.
Prices in this market reflect the market’s collective expectation for which first-half scoring range will occur and will move as new information arrives (starters, injuries, late scratches, or announced strategies). Settlement is based on the official combined point total at halftime as recorded by the game’s official scorekeeper.
The event page lists the close time as TBD; typically first-half total markets close before the opening tip or at the official game start. Check the platform’s live close timestamp for the definitive cutoff.
The nine outcomes are discrete scoring ranges or buckets for the combined first-half total; the outcome that covers the actual halftime total is the winning outcome when the market settles.
A late starter change can materially alter early-game scoring expectations—traders commonly update positions when a primary scorer or defender is ruled out. Expect rapid price movement as the market incorporates the news.
Head-to-head history can provide context but is often limited for cross-conference matchups; roster turnover, different coaching strategies, and small sample sizes reduce the predictive value of distant past games.
Settlement follows the platform’s rules and the official game statistics: markets are settled based on the official halftime score as recorded. If the game structure changes, consult the event rules for specific settlement procedures.