| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Uruguay | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Cape Verde | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Tie | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This prediction market covers the outcome of the Uruguay vs Cape Verde match, allowing traders to express expectations about which side will win or whether the game will draw. It matters because the market aggregates public information and reacts rapidly to news about squads, tactics, and conditions.
Uruguay is a long-established international side with deep experience in major tournaments; Cape Verde is a smaller African nation that has been improving and occasionally produces surprise results. The match's competitive context (friendly, qualifier, or tournament game) and the teams' squad selections will strongly shape how both sides approach it.
Market prices reflect the collective view of participants and update as new information (lineups, injuries, weather, motivation) arrives; they are a real-time signal rather than a fixed prediction and can change quickly.
The market close time is listed as TBD; check the KALSHI market page or official market details for the exact cutoff, which is often at kickoff or a specified pre-match time.
This market offers three distinct outcomes corresponding to the match result: a Uruguay win, a Cape Verde win, or a draw.
Treat confirmed starting XI and late injury or suspension news as high-impact information: they frequently trigger immediate market adjustments. Use reputable team sources and consider the timing (pre-match vs last-minute) when interpreting price changes.
Head-to-head history provides context but may be limited by small sample size and changes in squads or coaching; prioritize recent form, current rosters, and match context over distant past results.
Low volume indicates limited liquidity, so individual trades can move prices and the market signal may be noisy; treat price movements cautiously and corroborate with independent information before drawing conclusions.