| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 142.5 points scored | 56% | 54¢ | 56¢ | — | $42K | Trade → |
| Over 145.5 points scored | 48% | 47¢ | 48¢ | — | $13K | Trade → |
| Over 139.5 points scored | 60% | 60¢ | 64¢ | — | $1K | Trade → |
| Over 151.5 points scored | 36% | 31¢ | 35¢ | — | $225 | Trade → |
| Over 133.5 points scored | 78% | 74¢ | 78¢ | — | $163 | Trade → |
| Over 148.5 points scored | 38% | 38¢ | 42¢ | — | $109 | Trade → |
| Over 154.5 points scored | 24% | 25¢ | 29¢ | — | $81 | Trade → |
| Over 136.5 points scored | 71% | 67¢ | 71¢ | — | $76 | Trade → |
| Over 127.5 points scored | 88% | 83¢ | 87¢ | — | $50 | Trade → |
| Over 157.5 points scored | 25% | 19¢ | 24¢ | — | $42 | Trade → |
| Over 130.5 points scored | 0% | 80¢ | 82¢ | — | $0 | Trade → |
This market asks traders to predict the total points scored in the San Francisco at Oregon St. game across an 11-outcome structure; it matters because totals synthesize expectations about tempo, offense/defense matchups, and late-game strategy. Active trading aggregates public information and can highlight changing expectations as news emerges.
Background factors that shape this market include each program's recent scoring trends, head-to-head history, and any matchup-specific storylines such as stylistic contrasts between the teams. The market has seen $57,066 in volume across 11 discrete outcomes, and the listed close time is currently TBD, so liquidity and pricing may continue to evolve until trading ends. Venue, travel schedules, and short-term roster availability are common drivers for totals markets in intercollegiate and professional matchups.
Market prices reflect the collective view of how many points the two teams will combine to score; movement over time signals traders reacting to new information (injuries, weather, starting lineups, etc.). Use prices as one input alongside your own game-level analysis rather than a final prediction on its own.
The market's close time is listed as TBD; check the platform for real-time updates because trading typically closes shortly before kickoff or at an announced settlement time.
A key scorer or playmaker missing can lower expected team scoring and alter substitution patterns, which tends to reduce projected total points; the specific impact depends on who is out and whether backups change pace or efficiency.
Home teams can benefit from crowd effects, familiarity with the facility, and reduced travel fatigue, all of which can influence tempo and efficiency; those venue effects should be weighed alongside each team's road/home splits.
That volume signals a moderate level of liquidity and trader interest, meaning prices may be responsive to news but very large orders could still move the market; higher volume generally makes it easier to enter and exit positions.
The 11 outcomes partition the range of possible combined scores into discrete buckets or thresholds; one outcome will resolve as winning if the final combined score falls within that bucket, so understand the boundary values when evaluating exposure.