| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 165.5 points scored | 51% | 41¢ | 45¢ | — | $285 | Trade → |
| Over 162.5 points scored | 48% | 48¢ | 51¢ | — | $127 | Trade → |
| Over 156.5 points scored | 66% | 60¢ | 66¢ | — | $1 | Trade → |
| Over 168.5 points scored | 34% | 34¢ | 39¢ | — | $1 | Trade → |
| Over 153.5 points scored | 0% | 66¢ | 73¢ | — | $0 | Trade → |
| Over 150.5 points scored | 0% | 71¢ | 79¢ | — | $0 | Trade → |
| Over 177.5 points scored | 0% | 14¢ | 24¢ | — | $0 | Trade → |
| Over 147.5 points scored | 0% | 75¢ | 85¢ | — | $0 | Trade → |
| Over 171.5 points scored | 0% | 27¢ | 34¢ | — | $0 | Trade → |
| Over 174.5 points scored | 0% | 20¢ | 29¢ | — | $0 | Trade → |
| Over 159.5 points scored | 0% | 55¢ | 59¢ | — | $0 | Trade → |
This prediction market asks traders to forecast the combined total points scored in the basketball game between Queens University and Austin Peay. It matters because total points markets concentrate attention on tempo, shooting, and game context rather than just which team wins.
Queens University and Austin Peay are collegiate basketball programs with differing recent histories, roster compositions, and conference contexts — all of which influence scoring patterns. Head-to-head history between these two programs may be limited, so bettors often rely on season-long offensive and defensive metrics, recent form, and roster availability to form opinions.
Market prices reflect collective expectations about the final combined score bucket for this game; a higher price on an outcome indicates stronger market belief that the game’s total will fall in that range. Always read the market’s outcome definitions and settlement rules so you understand which final scores map to each outcome.
The market close time is determined by the platform and is typically at or shortly before the official game start; check the event header on KALSHI for the precise close time for this market.
Each outcome corresponds to a defined range of combined points (a bucket). When the game ends, the market settles to the single bucket that contains the official final combined score; consult the event outcome list on the platform for the exact numeric ranges.
Overtime inclusion depends on the market’s settlement rules specified by the platform; some total markets settle on regulation only while others include overtime—verify the event rules on KALSHI before trading.
Watch for availability of each team’s primary scorers and ball-handlers, projected starters vs. bench rotations, and any late injury or status updates; replacements at key positions (point guard or lead scorer) materially change expected possessions and shot volume.
Markets react quickly to late scratches, injury reports, and in-game developments because those items alter expected pace and scoring; traders should expect volatility and reprice based on announced lineup news, coach comments, and confirmed status updates.