| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| San Diego St. wins by over 5.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Utah St. wins by over 4.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| San Diego St. wins by over 14.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Utah St. wins by over 13.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| San Diego St. wins by over 11.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Utah St. wins by over 16.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Utah St. wins by over 10.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| San Diego St. wins by over 8.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Utah St. wins by over 1.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| San Diego St. wins by over 2.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Utah St. wins by over 7.5 Points | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how the point spread will resolve for the San Diego State at Utah State college football game, offering a way to gauge market expectations about which side will cover. It matters to traders and fans who want a market-driven measure of perceived advantage between the teams.
San Diego State and Utah State are regular competitors within the Mountain West Conference; recent seasons have seen different strengths for each program depending on coaching, roster turnover, and scheduling. Matchup context — including style of play, recent form, and any roster changes — often drives how the spread is viewed going into the game.
Market prices reflect collective expectations about which spread outcome is most likely and will move as new information arrives (injuries, starting lineups, weather, betting flow). Use prices as a snapshot of market sentiment rather than a fixed prediction.
The market's close time is listed as TBD on the event page; typically the platform will close markets before kickoff and will announce the final close time—check the market page for updates.
The 11 outcomes cover a range of point-spread buckets for this matchup (from one team favored by a margin to the other), plus handling for ties or pushes; view the market listing to see the exact labeled buckets.
New injury or lineup information typically causes rapid price movement as traders update expectations; the platform will ultimately settle based on the official game report, so monitor both news sources and the market.
Home-field factors like crowd influence, travel demands on the visitor, and local conditions can sway the spread; consider each team's historical home/away performance and how they respond to the specific environment in Logan.
Settlement rules depend on the platform: many markets settle using the official final score as recorded by the sport's governing body, and some void or change settlement if the game is not completed; consult KALSHI's settlement policy on the event page for details.