| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 143.5 points scored | 66% | 60¢ | 65¢ | — | $1 | Trade → |
| Over 164.5 points scored | 0% | 15¢ | 22¢ | — | $0 | Trade → |
| Over 137.5 points scored | 0% | 73¢ | 79¢ | — | $0 | Trade → |
| Over 134.5 points scored | 0% | 78¢ | 85¢ | — | $0 | Trade → |
| Over 146.5 points scored | 0% | 53¢ | 59¢ | — | $0 | Trade → |
| Over 158.5 points scored | 0% | 26¢ | 32¢ | — | $0 | Trade → |
| Over 152.5 points scored | 0% | 39¢ | 45¢ | — | $0 | Trade → |
| Over 155.5 points scored | 0% | 32¢ | 39¢ | — | $0 | Trade → |
| Over 140.5 points scored | 0% | 67¢ | 73¢ | — | $0 | Trade → |
| Over 149.5 points scored | 0% | 48¢ | 52¢ | — | $0 | Trade → |
| Over 161.5 points scored | 0% | 20¢ | 26¢ | — | $0 | Trade → |
This market asks traders to pick the total combined points scored in the Wyoming at San Jose St. game; it matters because the market aggregates public expectations about game tempo, scoring efficiency, and game script.
Wyoming and San Jose State are meeting in a college football matchup where venue, team styles, and recent form shape scoring expectations. San Jose State is the home team, which can affect tempo and crowd influence, while Wyoming's travel and style of play can change the game's flow. The market currently lists multiple discrete outcomes (11) and closes on a schedule set by the operator (TBD).
Market prices reflect the aggregated view of participants about which scoring range or exact total is most likely; shifts in price indicate how new information (injuries, weather, lineups) changes that consensus.
The market's close time is set by the operator and is currently listed as TBD; typically these markets lock before kickoff, so check the market page for the official closing time.
The 11 outcomes break the possible total-point range into discrete options (specific totals or ranges depending on market design), letting traders express views on different scoring outcomes; consult the outcome labels on the market page to see the exact breakpoints.
Consider crowd noise, travel fatigue for Wyoming, familiarity with the playing surface, and whether the home team historically plays at a different tempo at that stadium; home-field effects can modestly influence scoring and coaching decisions late in the game.
Significant news—such as a starting quarterback or key defensive player being ruled out—can move prices rapidly as traders update expectations for scoring; smaller role-player news typically has more muted effects.
Head-to-head history provides context but is often a small sample and can be outweighed by current-season offensive and defensive performance, coaching changes, and roster differences; use it alongside recent form and matchup metrics rather than as a sole predictor.