| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 161.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 167.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 176.5 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 → |
| Over 158.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 170.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 164.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 152.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 155.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 173.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many total points will be scored in the Saint Louis at Michigan game; it matters to traders who want to express views on the game’s expected scoring environment rather than pick a winner.
Saint Louis and Michigan represent two distinct programs whose meetings can reflect differences in roster construction, coaching philosophy, and scheduling. Historical scoring patterns between these teams can be informative but are often less predictive than current-season form, injuries, and matchup-specific Xs and Os. Because this is a market on total points, situational factors (venue, rest, and late roster news) typically move prices quickly.
Market odds here summarize the crowd’s collective expectation about the game’s combined score and will update as new information arrives; use them as a real-time indicator of perceived scoring risk, not a fixed prediction.
The platform will publish the market close time; often markets close shortly before game start, but this specific market’s close is TBD so check the event page for the final posted deadline.
Resolution uses the official final game score as reported by the sport’s official statistics provider and the platform’s market rules; consult the market’s terms to confirm whether overtime points are included or excluded.
Track both teams’ recent points per game, points allowed, possessions per game (pace), shooting splits (especially three-point rate), turnover rates, and free-throw attempts, plus any trend changes over the last several games.
Late injuries, questionable status of primary scorers, changes to the starting lineup or rotation depth, and availability of key shooters or defensive specialists can all have large effects on projected scoring.
Home-court context influences pace and shot selection through crowd pressure, familiarity, and travel fatigue for the visitor; neutral sites can reduce home advantage and sometimes produce different scoring dynamics than a true home/away game.