| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 2.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 7.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 5.5 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 → |
| Over 9.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 6.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 8.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many combined points Philadelphia and Los Angeles will score in a single matchup by trading across discrete total-point outcomes. It matters for people who want to express or learn from collective expectations about the game's scoring level.
Context depends on the sport and the specific teams involved — season-long offensive and defensive profiles, recent form, and venue all shape scoring expectations between Philadelphia and Los Angeles. Historical matchups can provide clues but rosters, coaching adjustments, and situational factors (rest, travel) often drive more immediate changes in scoring dynamics.
Market prices for each outcome reflect the community’s current view of which total-point range is most likely, and they update as new information arrives (injuries, starting lineups, weather, etc.). Use the prices as a live signal of market consensus, not a fixed forecast.
The market page currently lists the close time as TBD; most total-point markets close shortly before the game starts, and the exact close time will be posted on the market once scheduled.
Each of the eight outcomes corresponds to a specific range of combined points (total points brackets) for the game; buying an outcome is a bet that the final combined score will fall into that bracket.
Late news about key scorers, starters being rested, or rotation changes typically causes rapid price movement toward outcomes implying higher or lower totals, since star availability directly changes expected scoring.
Head-to-head history can be informative for tendencies, but give greater weight to recent season data, current rosters, venue, and short-term form because matchups and personnel change over time.
The market-specific settlement rule (whether overtime counts) will be listed on the Kalshi market page; if it is not explicitly stated there, consult Kalshi’s general settlement rules for clarification.