| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Pittsburgh | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Detroit | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This prediction market asks which team will win the Pittsburgh vs Detroit matchup on KALSHI and aggregates trader expectations ahead of the contest. It matters because market prices can reflect rapidly changing information about rosters, injuries, and other game-day factors.
Pittsburgh and Detroit are established professional sports franchises whose matchup significance depends on the sport, season timing, and each team's standing—for example regular-season positioning, playoff implications, or rivalry history. Recent head-to-head trends, coaching changes, and roster turnover can all shape expectations going into this specific meeting.
Market prices reflect the consensus of traders and update as new information arrives; treat price movement as a real-time signal of changing expectations rather than a certainty about the outcome.
This market offers two mutually exclusive outcomes representing which team wins the game: a Pittsburgh win and a Detroit win. Settlement will follow the official game result as recorded under KALSHI's event rules.
The market close time is listed as TBD; check KALSHI for the official close or any updates. Many head-to-head sports markets close at the official game start or a platform-specified cutoff.
Settlement follows KALSHI's event-specific rules: if the game is postponed, canceled, or not completed, the platform will apply its stated resolution policy, which may include voiding the market or waiting for an official result—review KALSHI's terms for details.
Watch official injury reports and active/inactive lists, announced starting lineups and any quarterback/pitcher decisions, coach and team pressers for strategic clues, pregame weather forecasts for outdoor venues, and late travel or roster moves.
Prices can move immediately as traders act on late-breaking news; the magnitude of moves depends on liquidity and how surprising the information is—thin liquidity can cause larger swings, while deeper markets tend to absorb news with smaller adjustments.