| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Dayton wins the 1H by over 10.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dayton wins the 1H by over 4.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UNC Wilmington wins the 1H by over 14.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UNC Wilmington wins the 1H by over 8.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dayton wins the 1H by over 13.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dayton wins the 1H by over 7.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UNC Wilmington wins the 1H by over 11.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UNC Wilmington wins the 1H by over 5.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dayton wins the 1H by over 16.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UNC Wilmington wins the 1H by over 2.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Dayton wins the 1H by over 1.5 points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This prediction market lets participants take positions on the first-half point spread for the Dayton vs UNC Wilmington basketball game, offering a way to express expectations about which team will lead at halftime and by how much. It matters because first-half outcomes reflect in-game dynamics and can diverge from full-game expectations.
This is a college basketball matchup where early-game factors—pace, starting lineups, and coaching strategy—often drive the first-half result. Historical matchup trends and recent form can inform expectations, but rosters and player roles change frequently in college basketball, so recent information matters most.
Market prices represent the consensus view of traders about the likely first-half spread; higher prices indicate stronger market support for a given spread outcome. Interpret prices as a real-time aggregation of available information rather than fixed truths, and watch how they move as new information arrives.
Close time is set by the platform and may be listed on the market page; many first-half markets close at or just before tip-off of the game’s first half, so check the market details for the final close time.
The outcomes correspond to discrete spread brackets for the first-half point differential (different ranges or specific margins). The winning outcome is determined by the official halftime score as recorded by the game officials.
Late injuries or lineup changes can materially shift expectations for the first half; markets typically price that information quickly if it is public before the market closes, so those updates often change outcome prices.
Use head-to-head and recent first-half data to identify patterns (which team tends to start stronger, scoring distribution, tempo), but prioritize recent games with similar rosters and coaching contexts over older matchups.
Low or zero traded volume indicates limited liquidity and that prices may reflect few trades rather than broad consensus; small trades can move prices substantially, so exercise extra caution and verify information before trading.