| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| 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 146.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 149.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market offers binary-style trading across 11 discrete outcomes on the combined total points scored in the UConn at Duke game. It matters because totals markets synthesize expectations about game tempo, offensive/defensive matchups, and late breaking roster or strategic news.
UConn and Duke are high-profile Division I programs with deep tournament histories and distinct stylistic identities; matchups between them attract attention because of coaching tactics, roster talent, and national stakes. When these programs meet, differences in pace, three-point reliance, and defensive emphasis historically create wide possible outcomes for the game total.
Prices on each outcome reflect the market's consensus about which total-range is most likely and will move as news arrives; closer to tip-off, markets typically incorporate confirmed starting lineups, injury reports, and coach comments that materially affect expected scoring.
Each outcome corresponds to a specific range or bucket of combined points scored in the official final box score; the winning outcome is the bucket that contains the game's final combined point total, with settlement governed by the platform’s published rules.
Resolution follows the platform’s contingency rules: many platforms void markets if the game is not played within a specified window or if there is no official final score; check the event listing and platform terms for the exact policy and any re-open or void procedures.
Confirmed starting lineups, last-minute injuries or rest decisions for primary scorers or ball-handlers, announced changes in rotation or tempo from coaches, and significant travel or illness updates are the most impactful pregame drivers of price movement.
Home court can affect shooting percentages, bench contribution, and pace; teams sometimes play faster or more aggressively at home and crowds can influence officiating and free-throw rates, so compare each team’s home/away scoring splits and recent home performances as part of your assessment.
Historical matchups provide useful context about styles and past outcomes but are limited by roster turnover, coaching changes, and seasonal context; use historical trends as one input alongside current-season form, injuries, and market movement.