| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Hawaii | 0% | 2¢ | 70¢ | — | $0 | Trade → |
| Cal Poly | 0% | 2¢ | 57¢ | — | $0 | Trade → |
This prediction market asks which team will win the Cal Poly vs Hawaii game; it matters to traders and fans who want to express views or hedge exposure on the outright winner.
This matchup pits two collegiate athletic programs against each other; the relevant sport and season context (football, basketball, etc.) determine rosters, scheduling, and historical comparisons. Market activity is currently minimal (Total Volume Traded: $0) and the market close is listed as TBD, so participants should monitor the event page for timing and any sport-specific clarifications.
Market prices reflect the consensus view of participants about which team will win; low trading volume can make prices volatile and more sensitive to new information like injury reports or lineup announcements.
This two-outcome market will let you take a position on one of two results—typically 'Cal Poly wins' or 'Hawaii wins'—and will resolve based on the official final game result; check the event page for exact outcome labels.
The close time is listed as TBD; platforms often close outright-winner markets at or shortly before the scheduled game start and resolve after the game's final official result is available, but you should confirm the exact close and resolution policy on the KALSHI event page.
Settlement is typically based on the official final score as reported by the game's governing body, conference, or the official box score/scoreboard; the event page should state the designated data source used for resolution.
Last-minute injuries and lineup changes are material to the market and can cause rapid repricing—because volume is currently low, such news may produce larger price swings than in a heavily traded market, so traders often wait for confirmed reports before adjusting positions.
Yes—which team is hosting, travel distance, schedule disruption, and local conditions (time zone, climate) can all affect performance and should be factored into how you assess the matchup for this event.