| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 113.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 116.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 119.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 122.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 125.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 128.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 131.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 134.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 137.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 140.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 143.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 145.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders express expectations for the combined final score in the college basketball game 'Duke at UCLA' by buying outcomes tied to total points. It matters because totals synthesize tempo, shooting, and lineup information into a single market that responds quickly to game-day news.
Duke and UCLA are high-profile programs with distinct offensive and defensive styles; historical games between them can show wide variance in pace and scoring depending on rosters and coaching matchups. Market prices for totals reflect aggregated information about pace of play, shooting form, injuries, and travel, and will update as new information arrives before tip-off. Since the market has multiple discrete outcomes, participants can take views on specific scoring ranges rather than just an over/under.
Prediction market odds for a total express the crowd’s collective expectation about which scoring range is most likely to occur; interpret movements as the market reacting to new information (injury reports, lineup news, etc.). Use odds qualitatively to see which way consensus is shifting rather than as fixed forecasts, and always confirm settlement rules on the event page.
The market close time is listed as TBD on the event page; the platform will set a closing time before tip-off. Markets for totals typically close shortly before the game to allow settlement on starting-lineup and injury information.
Settlement follows KALSHI’s event rules posted on the market page. Some platforms include overtime in the final combined score and others do not, so check the specific settlement clause for this event before trading.
Treat late injury reports and confirmed starting lineups as high-impact inputs: loss of a primary scorer lowers expected totals, while loss of a defensive specialist can raise them. Market prices typically move to reflect such news quickly, so monitor official team updates and credible reporters in the hour before tip-off.
Historical head-to-head data can indicate stylistic tendencies but must be adjusted for roster turnover, coaching changes, and era differences; prioritize recent games with similar rosters and consider sample size limitations when using past scores to predict totals.
Rapid shifts commonly follow confirmed injuries, late scratchings, announced minute restrictions, unexpected weather or travel delays affecting arrival, and authoritative reports about starting lineups; significant public bets or news about refereeing and pace expectations can also move prices.