| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Minnesota | 0% | 2¢ | 97¢ | — | $0 | Trade → |
| Omaha | 0% | 2¢ | 65¢ | — | $0 | Trade → |
This market asks which team will win the scheduled head-to-head game between Omaha and Minnesota; it matters because it lets traders express views on the likely game outcome and incorporates public information about lineups, injuries, and conditions.
Omaha and Minnesota represent the two competing teams in this specific matchup; depending on the sport and schedule, their meeting may be a regular-season game, preseason contest, or tournament matchup. Historical results, recent form, and roster changes are useful background, but the immediate pre-game information (starters, injuries, weather) typically has the strongest impact on the actual game outcome.
Market prices for this event reflect the collective assessment of traders and will move as new information arrives; use those prices as a real-time signal of market sentiment, alongside traditional scouting and statistical analysis.
The listed close time is currently TBD; typically the market will close before the game's official start and will be settled based on the official final result reported by the event organizer or league once the game concludes. Check the KALSHI event page for the announced close time and any updates.
The market is settled using the official game result as recorded by the governing body or the official scoreboard; the team recorded as the winner at the conclusion of the game will be considered the winner for settlement purposes.
If the game is postponed, canceled, or abandoned, KALSHI's resolution will follow the exchange's documented rules: the market may be voided, extended, or settled after a rescheduled completion depending on the event notes and official timing. Monitor the event page for the exchange's specific determination.
Announcements that typically shift sentiment include confirmed starters, last-minute injuries or lineup changes, pitching rotations or bullpen usage, official weather advisories that affect playability, and any travel or availability updates for key players.
Head-to-head history can provide context about matchup tendencies, but recent form, current-season statistics, roster availability, and the specific game circumstances (venue, weather, rest) are usually more predictive for a single-game market; use historical data as one component rather than the primary driver.