| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Pisa wins by over 2.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Pisa wins by over 1.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cagliari wins by over 2.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cagliari wins by over 1.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders take positions on the point spread for the Cagliari at Pisa match, showing which margin outcomes the market expects. Spread markets matter because they summarize collective expectations about match competitiveness and margin of victory.
Cagliari and Pisa are professional Italian clubs whose seasonal form, head-to-head history, and squad availability shape expectations for margin outcomes. Context such as league position, stakes (promotion, relegation, cup progression), and recent managerial or tactical changes are important background when evaluating spreads. The market remains open until KALSHI posts a closing time (currently TBD).
Prediction market odds in a spreads market reflect aggregate trader sentiment about which margin bracket is most supported; prices provide a real-time signal of market consensus rather than a guarantee of outcome. Traders commonly use these prices alongside their own analysis of lineup, form, and news to inform positions.
The market lists four distinct spread outcomes, each representing a different margin bracket by which one side would cover or fail to cover the spread; the platform shows the exact bracket definitions on the market page.
The market closing time is listed as TBD; KALSHI typically updates each market with a final close time before kickoff or when trading should stop, so check the market page for the official timestamp.
Treat confirmed lineups and injury/suspension news as high-impact information—key starters missing or late returns can materially change expected margins—so many traders wait for squad confirmation before taking sizable positions.
Head-to-head history provides context about typical scorelines and tactical matchups, but its predictive value is limited without accounting for current-season form, roster changes, and situational factors; use it as one input among several.
Late developments that commonly shift spreads include last-minute injury or suspension news, unexpected lineup announcements, severe weather or pitch issues, confirmed referee changes, official postponements, and sudden shifts in trading liquidity or large orders.