| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 145.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 130.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 127.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 133.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 142.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 136.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 124.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 121.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 151.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 139.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 148.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This prediction market asks how many total points will be scored in the Michigan St. at UConn game; it matters for traders who want to express views on scoring outcomes and for anyone tracking game-level expectations.
Michigan State (Big Ten) and UConn (Big East) are programs with differing styles and coaching histories; matchups between them bring contrasts in tempo, defensive strategy, and roster construction that affect scoring. Recent team form, roster availability, and the specific competition context (regular season, tournament, neutral site) all shape how this particular game typically plays out.
Market prices reflect the aggregate view of traders about which total-points outcome is most likely; higher-priced outcomes indicate less market support, lower-priced ones indicate more. Use the market as a real-time gauge of expectations, but combine it with box-score metrics and situational info for decisions.
Close time is listed as TBD on the event page; markets of this type typically close before the game tip-off or at a platform-specified cutoff—check the event page and official rules for the final closing timestamp.
Each of the 11 outcomes corresponds to a specific total-points bucket or discrete point total set by the market creator; view the market labels on the platform to see the exact scoring ranges or totals represented by each outcome.
Whether overtime counts depends on the market's settlement rules; some markets specify 'regulation only' while others include overtime—confirm the settlement terms shown on the event page before trading.
Absence of a team’s primary scorer or playmaker (e.g., leading scorer or starting point guard) tends to reduce expected points, while losing a defensive rim protector or perimeter defender can increase scoring; check the teams' active rosters and depth charts for up-to-date impact assessments.
Head-to-head history can offer context but is limited by changes in personnel and coaching; use recent seasons' matchups and season-long tempo/efficiency metrics for both teams as more reliable signals than distant historical results.