| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| UConn wins by over 13.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UConn wins by over 10.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UConn wins by over 7.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UConn wins by over 4.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| UConn wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Illinois wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Illinois wins by over 5.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Illinois wins by over 8.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Illinois wins by over 11.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Illinois wins by over 14.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Illinois wins by over 17.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market allows participants to predict the final point spread margin between the University of Illinois and the University of Connecticut in their scheduled college basketball matchup. It serves as a sentiment-driven indicator of how bettors evaluate the competitive gap between these two programs.
Illinois and UConn represent two prominent programs often contending for high seeds in postseason tournaments. Historically, both teams emphasize structured defensive systems and disciplined coaching, which significantly influence how the betting spread is set by analytical models and public expectation.
The spread represents the anticipated scoring margin, where one team is favored by a specific number of points; market prices reflect the aggregate expectation of whether the favorite will exceed that margin or the underdog will keep the game closer.
The spread is a handicap used to level the playing field, where the favorite must win by more than the specified number of points, while the underdog must either win outright or lose by fewer points than the spread.
Yes, unless otherwise specified by market rules, the final point spread is determined by the total score at the conclusion of the game, including any points scored during overtime periods.
Travel fatigue and time zone changes are factored into the spread by models, particularly if the game is played on a home court rather than at a neutral venue.
Late-breaking injury news often causes significant shifts in the market's expectation of the spread as participants adjust their positions based on the expected change in team performance.
Recent performance in head-to-head matchups and success against similar caliber opponents serve as primary data points for market participants when assessing the potential spread outcome.