| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 143.5 points scored | 0% | 48¢ | 51¢ | — | $0 | Trade → |
| Over 158.5 points scored | 0% | 13¢ | 21¢ | — | $0 | Trade → |
| Over 134.5 points scored | 0% | 67¢ | 73¢ | — | $0 | Trade → |
| Over 149.5 points scored | 0% | 32¢ | 38¢ | — | $0 | Trade → |
| Over 146.5 points scored | 0% | 39¢ | 44¢ | — | $0 | Trade → |
| Over 128.5 points scored | 0% | 77¢ | 86¢ | — | $0 | Trade → |
| Over 155.5 points scored | 0% | 19¢ | 27¢ | — | $0 | Trade → |
| Over 137.5 points scored | 0% | 61¢ | 66¢ | — | $0 | Trade → |
| Over 152.5 points scored | 0% | 26¢ | 32¢ | — | $0 | Trade → |
| Over 140.5 points scored | 0% | 54¢ | 60¢ | — | $0 | Trade → |
| Over 131.5 points scored | 0% | 72¢ | 79¢ | — | $0 | Trade → |
This market asks what the combined final score will be in the Loyola Chicago at Richmond game; the market offers 11 discrete total-points outcomes so traders can express views on different scoring ranges. It matters because total points reflect team styles, injuries, and late-breaking lineup news that often move markets.
Loyola Chicago and Richmond are college basketball programs with distinct styles and season contexts; recent form, conference schedules, and coaching tendencies help shape scoring expectations but can change with roster moves. Because the market close is listed as TBD, real-time information such as official start time, injury reports, and announced lineups will be especially important leading into the game.
Market prices represent the consensus view of which total-points outcomes the market favors and will move as new information arrives. Treat prices as a real-time signal of market sentiment rather than a fixed prediction.
The market is split into 11 discrete total-points outcomes, which typically represent different point ranges, thresholds, or exact-total brackets. Check the platform's outcome labels on the event page to see the precise point bands or cutoffs used for this matchup.
The official close time is shown on the platform and is currently listed as TBD; many markets close at scheduled tip-off or when starting lineups are official. If the game time is changed or delayed, the platform's event-handling rules will determine whether the market is paused, extended, or canceled—verify those rules on the event page.
Use head-to-head history to spot patterns in scoring, but adjust for roster turnover, coaching changes, and differences in pace—college matchups can vary widely by season. Prioritize recent season trends and current-team analytics over single historical results, since sample sizes are often small.
Changes to starting guards and primary scorers, key three-point shooters, and primary rim protectors have the biggest impact on scoring expectations; also monitor minutes, foul trouble tendencies, and any late-game injury or suspension reports. Late rotation announcements or unexpected absences typically produce the largest market moves.
Home-court and travel can affect shooting comfort and fatigue, while neutral sites or tournament settings often increase defensive intensity and can lower totals. Consider the matchup stakes and typical officiating tendencies for the venue when assessing how context might push the total up or down.