| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 117.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 114.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 123.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 138.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 120.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 135.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 141.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 126.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 132.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 129.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 111.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders buy and sell discrete outcomes for the combined total points scored in the Baylor at Duke game. It matters because market prices aggregate expectations about scoring based on team styles, injuries, and other game-day information.
Baylor and Duke are major Division I men's basketball programs whose matchup draws attention because each team's tempo, roster composition, and coaching approach influence scoring. Historical head-to-head results may be limited, so traders typically evaluate recent offensive and defensive performance, schedule strength, and matchup-specific factors rather than relying solely on direct prior meetings.
Market prices indicate how traders collectively view the likelihood of different total-point ranges; higher-priced outcomes imply stronger market belief in that range relative to others and prices will move as new information (injuries, lineup changes, tempo expectations) becomes available.
Each outcome corresponds to a specific combined-point range for the final score; a given outcome resolves as successful if the official final combined points fall within that range when the market settles.
Settlement typically uses the official final combined score as recorded by the league, which normally includes points scored in overtime unless the platform’s rules explicitly state otherwise—check the market rules on KALSHI for confirmation.
Late news about starters or rotation players can meaningfully change expected scoring; traders should expect rapid price adjustments when credible injury, suspension, or lineup information is made public.
Direct head-to-head history can help if there are many recent meetings, but more often season-level metrics (points per possession, opponent adjustment, three-point and free-throw rates) and recent form against comparable opponents are more informative due to small sample sizes.
The market’s official close time will be posted on KALSHI; many totals markets close at or just before game start, but if the platform allows in-play trading, prices during the game will reflect live scoring, injuries, and substitution patterns until the market’s stated close.