| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| UC Santa Barbara wins by over 5.5 Points | 50% | 48¢ | 50¢ | — | $5K | Trade → |
| UC Santa Barbara wins by over 8.5 Points | 40% | 37¢ | 40¢ | — | $466 | Trade → |
| UC Santa Barbara wins by over 17.5 Points | 12% | 8¢ | 13¢ | — | $258 | Trade → |
| UC Davis wins by over 10.5 Points | 8% | 6¢ | 8¢ | — | $138 | Trade → |
| UC Davis wins by over 1.5 Points | 29% | 27¢ | 30¢ | — | $95 | Trade → |
| UC Santa Barbara wins by over 2.5 Points | 63% | 59¢ | 63¢ | — | $93 | Trade → |
| UC Santa Barbara wins by over 11.5 Points | 29% | 25¢ | 30¢ | — | $42 | Trade → |
| UC Davis wins by over 4.5 Points | 18% | 17¢ | 23¢ | — | $17 | Trade → |
| UC Davis wins by over 7.5 Points | 11% | 12¢ | 17¢ | — | $2 | Trade → |
| UC Santa Barbara wins by over 20.5 Points | 0% | 3¢ | 9¢ | — | $0 | Trade → |
| UC Santa Barbara wins by over 14.5 Points | 0% | 18¢ | 22¢ | — | $0 | Trade → |
This market lets traders forecast which point-spread outcome will occur in the UC Santa Barbara at UC Davis matchup; it matters because spread markets condense public and expert views about the likely margin of victory into a tradable set of outcomes.
UC Santa Barbara and UC Davis are collegiate programs whose matchup outcome is shaped by roster health, coaching game plans, and where the game is played. Historical meetings and recent season form provide context, but each game's specific circumstances — injuries, travel, rest, and tactical matchups — typically drive market movement in the days and hours before kickoff or tipoff.
Market prices reflect collective trader expectations about which spread range will be true at final score and will move as bettors react to news; use them alongside box-score trends, injury reports, and matchup scouting when forming your own view.
The market will close at the time indicated on the KALSHI page for this event; settlement is based on the official final score reported by the relevant governing body and follows the platform's published settlement rules. If the listing currently shows 'TBD', monitor the market page for an updated close time.
The 11 outcomes correspond to discrete spread ranges or margin buckets (each outcome represents a specific range of final margins); consult the market description on the trading interface to see the exact mapping between each outcome label and the associated margin range.
Head-to-head history offers context on matchup tendencies and coaching adjustments, but markets typically prioritize current-season form, roster availability, and recent performance; use historical results as one input while giving greater weight to up-to-date injury reports and recent box scores.
Primary ball-handlers and leading scorers (e.g., point guards or top offensive options), key interior players who affect rebounding and rim protection, and any high-usage role players returning from injury can move the spread; check each team's latest depth chart and injury report for specifics prior to close.
Resolution follows the platform's official rules: typically, markets settle based on the official final score including overtime unless the platform specifies otherwise; postponed or canceled games are handled according to KALSHI's event resolution policy, which may include voiding positions or delaying settlement—confirm the exact policy on the event page.