| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| California Baptist wins by over 6.5 Points | 49% | 47¢ | 50¢ | — | $410 | Trade → |
| Southern Utah wins by over 21.5 Points | 3% | 2¢ | 5¢ | — | $50 | Trade → |
| Southern Utah wins by over 18.5 Points | 3% | 2¢ | 6¢ | — | $50 | Trade → |
| Southern Utah wins by over 15.5 Points | 3% | 2¢ | 8¢ | — | $50 | Trade → |
| California Baptist wins by over 3.5 Points | 0% | 56¢ | 61¢ | — | $0 | Trade → |
| California Baptist wins by over 9.5 Points | 0% | 35¢ | 40¢ | — | $0 | Trade → |
| Southern Utah wins by over 3.5 Points | 0% | 20¢ | 26¢ | — | $0 | Trade → |
| Southern Utah wins by over 12.5 Points | 0% | 3¢ | 10¢ | — | $0 | Trade → |
| Southern Utah wins by over 9.5 Points | 0% | 6¢ | 15¢ | — | $0 | Trade → |
| Southern Utah wins by over 6.5 Points | 0% | 12¢ | 19¢ | — | $0 | Trade → |
This market forecasts the point-spread outcome for the college basketball game between California Baptist and Southern Utah. It matters because the spread reflects the market’s consensus about the likely margin of victory and is used by traders to express views on how close the game will be.
Both teams are NCAA Division I programs with different roster compositions, styles of play, and travel considerations that shape matchup expectations. The market offers 10 discrete spread outcomes and has seen $560 in trading so far; the official close time is listed as TBD, so quotes may continue to move until the market is closed.
Market prices map to the collective expectation for which spread bucket will occur; they are a real-time consensus signal about likely margins rather than exact scores. When interpreting prices here, consider liquidity and the fact that each outcome typically represents a range of final margins or cover/no-cover scenarios.
Each outcome corresponds to a specific spread bucket—i.e., a range of final-margin results or which side covers the spread. The exact numeric thresholds for those buckets are defined on the market page, so check the KALSHI outcome descriptions to see the precise mapping.
The market close time is currently listed as TBD; on similar game markets, closure typically occurs at or just before tip-off. Monitor the market page and platform notifications for an announced close time or any last-minute updates.
Watch reports about projected starters, primary scorers, rebounders, and the lead ball-handler or shot-blocker for each team, plus any late-game availability notes. Official team injury reports, coach comments at shootarounds, and local beat reporters are the quickest sources for impactful updates.
Use head-to-head history as context but weigh recency and roster continuity heavily—past results are more informative if the core players and coaches are the same. Also consider home/away splits in those meetings and whether style mismatches from prior games still apply.
The multi-outcome structure allows finer-grained positions and hedges by buying adjacent buckets, but relatively low volume can mean thin order books and wider execution costs. Size positions conservatively, watch recent trade activity and order depth, and use adjacent outcomes to hedge incremental exposure rather than relying solely on single large bets.