| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Virginia wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Virginia wins by over 13.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Virginia wins by over 19.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Virginia wins by over 7.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Virginia wins by over 16.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miami (FL) wins by over 5.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miami (FL) wins by over 11.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Virginia wins by over 4.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Virginia wins by over 10.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miami (FL) wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Miami (FL) wins by over 8.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders express views on the point spread for the Miami (FL) at Virginia game by buying outcomes tied to different margins of victory. It matters because spread markets aggregate disparate information—injuries, coaching decisions, and real-time news—into a single, tradable signal about expected game competitiveness.
Miami (FL) and Virginia are NCAA programs whose matchups are shaped by contrasting styles: Virginia has a recent reputation for methodical, defense-first basketball while Miami often emphasises quicker possessions and transition scoring. Coaching philosophies, roster turnover since prior meetings, and conference scheduling all provide context that influences how the spread might move.
Market prices indicate the consensus view among traders about which spread outcome is most likely given current information; price movement shows how that consensus updates when new information arrives. These prices are not guarantees but can be used to compare against sportsbook lines and to manage exposure to specific game outcomes.
If the market currently shows 'TBD' the platform will announce a final close time; typically spread markets close at or just before the official game start, but you should monitor the KALSHI event page for the confirmed close time and any updates.
The 11 discrete outcomes divide the range of possible margins into bins or specific margin outcomes (including any designated push or tie bin); each outcome corresponds to the final game margin falling into that particular category according to the market’s settlement rules.
Price changes typically reflect new information—injury updates, starting lineup announcements, weather or travel disruptions, and sharp bets; rapid moves close to tipoff often follow official lineup confirmations or late-breaking news.
Settlement follows the exchange’s rulebook: cancellations or postponements may trigger refunds or delayed settlement, and an exact push will settle to the market’s designated push outcome or per platform policy—check KALSHI’s settlement and force-majeure rules for specifics.
Look at venue (home vs. away), recent head-to-head scores, tempo differentials, how each team’s defense performs against similar offenses, and any roster/coaching changes since the last meeting—these patterns help anticipate whether the game is likely to be close or swing toward one team.