| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 136.5 points scored | 85% | 75¢ | 81¢ | — | $2 | Trade → |
| Over 145.5 points scored | 66% | 57¢ | 63¢ | — | $1 | Trade → |
| Over 148.5 points scored | 54% | 50¢ | 53¢ | — | $1 | Trade → |
| Over 134.5 points scored | 0% | 77¢ | 86¢ | — | $0 | Trade → |
| Over 166.5 points scored | 0% | 12¢ | 20¢ | — | $0 | Trade → |
| Over 157.5 points scored | 0% | 29¢ | 35¢ | — | $0 | Trade → |
| Over 142.5 points scored | 0% | 63¢ | 70¢ | — | $0 | Trade → |
| Over 160.5 points scored | 0% | 22¢ | 29¢ | — | $0 | Trade → |
| Over 163.5 points scored | 0% | 16¢ | 24¢ | — | $0 | Trade → |
| Over 151.5 points scored | 0% | 42¢ | 48¢ | — | $0 | Trade → |
| Over 154.5 points scored | 0% | 35¢ | 41¢ | — | $0 | Trade → |
| Over 139.5 points scored | 0% | 70¢ | 75¢ | — | $0 | Trade → |
This market asks traders to forecast the combined total points scored in the Utah at Baylor game. Totals markets matter because they aggregate information about expected tempo, scoring efficiency, injuries, and game conditions into a single tradable measurement.
Utah (Utes) and Baylor (Bears) are major college programs with contrasting stylistic tendencies: Baylor has often operated at a faster offensive pace while Utah has typically emphasized defense and ball control. Because head-to-head samples between the two programs may be limited, context from season-long offensive and defensive metrics, recent form, and roster availability usually provides more reliable guidance than a single past meeting.
Market prices indicate the consensus expectation for which total-points bucket is most likely according to active traders and will move as new information arrives. Treat prices as real-time, information-sensitive signals rather than fixed predictions — check the market page for settlement rules and timestamps.
This market lists 11 discrete outcomes; each outcome corresponds to a specific total-points interval or exact total displayed on the market page. Review the market interface to see the exact ranges or totals tied to each outcome before trading.
Whether overtime counts depends on this market’s contract wording and the platform’s settlement rules. Many totals markets include overtime in the final combined score, but you should confirm by reading the market’s settlement terms or contacting platform support.
Late injury reports or confirmed absences for quarterbacks or primary scorers, announced starting lineups, sudden weather changes for an outdoor game, credible betting-market shifts, and in-game developments (for markets that allow intraday trading) are the most common catalysts.
Trading cutoffs are set by the platform; many game-total markets close at kickoff or a short time before the official start. Because this event currently lists the close time as TBD, watch the market page for the platform’s official cutoff notice and any updates.
Focus on season-long per-possession scoring rates, tempo-adjusted stats, and how each team performs against similar opposing styles. Adjust for home/away effects, recent roster changes, and small-sample uncertainty — avoid overweighting a single prior meeting between the teams.