| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 179.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 150.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 164.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 173.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 182.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 155.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 167.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 176.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 170.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 158.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 161.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 152.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This prediction market lets traders express expectations about the combined points scored in the Vanderbilt at Arkansas game by selecting among multiple total-point outcomes. It matters because totals markets aggregate real-time information about offense, defense, tempo, injuries, and conditions into a single tradable signal.
Vanderbilt and Arkansas are NCAA programs whose matchups can occur in football or basketball; the sport, season, and conference context determine typical scoring ranges. Historical head-to-head totals and each team's season-long offensive and defensive profiles provide useful context, while coaching changes, lineup shifts, and the venue can produce large year-to-year variation.
Market prices indicate the relative market-implied expectation for each total-range outcome and move as new public information arrives. Use price movement to gauge changing consensus — not as a precise prediction but as a summary of trader beliefs and available news.
Closing time is set by the platform and is usually just before the scheduled game start to prevent trading on in-play information; if the start time changes or lineups are delayed, the market may update its close accordingly—check the event page for the official close.
The 11 outcomes partition the range of possible combined scores into discrete total ranges (e.g., intervals or exact totals); each outcome corresponds to a particular bracket of combined points that will be used for settlement.
Compare each team's recent points scored and allowed per game, adjust for opponent quality and home/away splits, and consider tempo — sustained deviations from season norms or changes in rotation are more informative than single-game outliers.
Material roster news typically causes rapid price movement as traders update expectations for scoring; the size and direction of movement depend on how central the affected player is to scoring or game control.
Settlement for cancellations or postponements follows the platform's official rules; typically markets settle to the official game result if a game is completed, or are voided or resolved per the operator's contingency policy if the event doesn't occur—refer to KALSHI's rulebook for specifics.