| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 149.5 points scored | 49% | 46¢ | 49¢ | — | $247 | Trade → |
| Over 152.5 points scored | 0% | 1¢ | 98¢ | — | $0 | Trade → |
| Over 134.5 points scored | 0% | 3¢ | 98¢ | — | $0 | Trade → |
| Over 164.5 points scored | 0% | 1¢ | 97¢ | — | $0 | Trade → |
| Over 146.5 points scored | 0% | 54¢ | 57¢ | — | $0 | Trade → |
| Over 155.5 points scored | 0% | 1¢ | 98¢ | — | $0 | Trade → |
| Over 137.5 points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 161.5 points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 143.5 points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 158.5 points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
| Over 140.5 points scored | 0% | 1¢ | 99¢ | — | $0 | Trade → |
This market asks how many total points will be scored in the Kentucky at Missouri game, aggregating trader beliefs about the combined scoring output. It matters because it synthesizes public information and game developments into a single, tradable forecast about scoring.
Kentucky and Missouri are college basketball programs with distinct styles and conference implications; their matchup context—rosters, recent form, and coaching approaches—shapes expected scoring. The market offers 11 discrete outcomes to capture a range of possible total-point results, and currently shows modest trading activity (Total Volume Traded: $247) with the market close listed as TBD.
Market prices reflect the crowd’s collective view of which total-point range is most likely, and they update as new information (injuries, lineups, tempo signals) arrives. Use prices as a summary of evolving expectations rather than fixed forecasts.
Each outcome corresponds to a specific total-points range or threshold for the combined score of both teams; selecting an outcome expresses which range you think the final combined score will fall into. Check the market page for the exact ranges tied to each outcome label.
Markets like this typically close shortly before the scheduled tip-off, but this specific listing shows the close time as TBD—monitor the platform for an announced close or automatic platform notifications updating the deadline.
Focus on availability and condition of each team’s top scorers, primary ball handlers (who generate possessions and shots), and interior presences that draw fouls or alter shots; late scratches or role changes for those players have the biggest impact on expected scoring.
Use recent head-to-head games and current-season trends to understand pace and scoring environments, but adjust for context such as roster turnover, neutral vs. home settings, and sample size—short-term anomalies can mislead if treated as the baseline.
Significant late-breaking news about injuries, ejections, or unexpected lineup changes usually moves prices quickly as traders update expectations for possessions and scoring; liquidity and timing will determine how fast and how far market prices adjust.