| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Both Teams To Score | 65% | 61¢ | 63¢ | — | $37 | Trade → |
This market asks whether both San Diego FC and Sporting Kansas City will score at least one goal in their match. It matters because it isolates the match's scoring balance rather than the full-match winner, useful for traders focused on goal dynamics.
San Diego FC and Sporting Kansas City are MLS clubs with different tactical profiles — one may emphasize attack while the other balances defense and transition. Recent form, roster changes, and home-field advantage typically shape expectations for whether both sides find the net in their meetings.
Market odds reflect the collective view of traders about the likelihood that both teams will score; they update as new information (lineups, injuries, weather) becomes available. Use movements to track how real-time news changes perceived scoring risk rather than as a fixed forecast.
The event page lists the market as closing TBD; platforms commonly close such markets at or just before kickoff. Check the KALSHI market page for the official close time before placing trades.
The outcome requires each team to score at least one official goal during the match time window defined by the platform, typically including regulation and added stoppage time but excluding penalty shootouts. Own goals count for the scoring team.
Yes — goals scored during regulation plus any referee-designated stoppage/added time are generally included; verify the market rules on KALSHI for any league-specific exclusions.
Announcements that remove or add primary goal scorers, key playmakers, or a team's starting goalkeeper/defensive core will materially affect expectations. Late withdrawals, confirmed returns from injury, or surprising tactical selections are especially impactful.
Review recent matches for frequency of both teams scoring against different opponents, compare home vs away scoring rates, and weight those trends with current roster news; short sample sizes or one-off anomalies should be treated cautiously.