| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 1.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 2.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 3.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 4.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many total goals will be scored in the San Diego FC at San Jose match; totals markets condense market expectations about scoring and are useful for bettors and analysts tracking match dynamics.
Context for this fixture includes each club's attacking and defensive profiles, recent form, and any roster or coaching changes heading into the match. Venue, travel, and the seasonal schedule also shape scoring likelihoods; historical head-to-head trends matter but should be weighed alongside current-season data and late-breaking team news.
Prediction market prices represent the collective, real-time view of traders about the likely total goals; they move as new information arrives (lineups, injuries, weather) and should be interpreted as an indicator that changes up to market close.
This market presents four distinct totals-related outcomes (e.g., specific goal thresholds or ranges); the event page lists the exact definitions for each outcome so check it to see whether they are over/under lines or discrete ranges.
The market close is listed as TBD; KALSHI typically closes totals markets before match kickoff or at a platform-specified time, so monitor the event page for the confirmed close time and place trades accordingly.
Zero volume indicates no trading has occurred yet; low liquidity means quoted prices may be more volatile and single trades can move the market more than in well-traded events—review market depth before committing significant funds.
Key movers include official starting XI and goalkeeper announcements, late injuries or suspensions, weather or pitch reports, and any tactical briefings that indicate more defensive or attacking intent.
Head-to-head scoring patterns provide helpful context about how the teams have matched up historically, but they should be combined with current-season form, roster changes, venue, and recent performance for a balanced view.