| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| San Francisco | 76% | 75¢ | 76¢ | — | $1K | Trade → |
| Portland | 26% | 24¢ | 26¢ | — | $663 | Trade → |
This prediction market asks which outcome will occur in the Portland at San Francisco sporting matchup. It matters because market prices synthesize public information about team strength, availability, and situational factors ahead of the contest.
The event pits a Portland-based team against a San Francisco-based team at the San Francisco venue; the exact sport and stakes (regular season, playoff, exhibition) determine context. Home-field or home-court advantage, travel from Portland, recent schedules, and roster health are typical background items that shape expectations for this matchup.
Market prices reflect the collective assessment of traders about which outcome is most likely, incorporating news, injuries, and betting flows; prices move as new information arrives and can be used as a realtime signal of changing expectations.
This market resolves on the official outcome specified in the contract (for example, which team wins the listed game). Settlement uses the official game result reported by the sport’s governing body or the league; consult the market description for the precise resolution condition.
Resolution in postponement or cancellation scenarios follows the platform’s stated rules: markets may be voided, deferred to a rescheduled official result, or settled by alternative criteria. Check KALSHI’s event-resolution policy on the market page for the applicable procedure.
A closing time will be posted by the platform before the event. Typically trading closes shortly before the official start (kickoff/first pitch/whistle) but monitor the market page and platform announcements for the definitive close time.
Loss of a team’s primary scorer, starting pitcher or quarterback (depending on the sport), or a defensive anchor will materially shift expectations. Consult up-to-date injury reports, starting-lineup announcements, and coach statements in the hours before the game for the most impactful changes.
Head-to-head history provides useful context but is less predictive than recent-season data, current rosters, and situational factors. Give more weight to current-season matchups, injuries, and venue effects while using older results only as supplemental context.