| 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 traders to forecast the total number of goals scored in the Freiburg at St. Pauli match; totals markets matter because they aggregate market expectations about offensive and defensive output for a specific fixture.
Freiburg and St. Pauli bring distinct tactical profiles and roster situations that influence scoring dynamics; Freiburg is often noted for organized defensive structure and disciplined transitions, while St. Pauli's approach can vary with home form and managerial setup. Totals outcomes are sensitive to current-season form, injuries, and match context such as fixture congestion or cup commitments.
Market prices represent the consensus market view on likely goal totals and should be read as dynamic sentiment signals that update with news, not as fixed predictions.
The market's close time is listed as TBD for this event; on Kalshi totals markets commonly close at or shortly before kickoff, so monitor the event page for an announced close time and any updates.
The four outcomes are distinct goal-total options for this match — they may be structured as multiple over/under lines or discrete goal-range buckets; check the market's outcome labels on the platform to see the exact definitions before trading.
A $0 traded volume indicates no recorded trades so far, which can imply low liquidity and wider effective spreads; price movements may be more volatile and orders may take longer to fill, so account for execution risk.
Use confirmed starting XIs and injury/suspension updates to reassess expected attacking and defensive capacity — the absence of a key striker or a central defender can materially change expected totals, and late lineup news often moves markets.
Head-to-head results offer useful context on scoring patterns but can be a weak predictor on their own because squads, coaches, and circumstances change; combine head-to-head information with current form, tactics, injuries, and lineup data for a fuller assessment.