| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 1.5 goals scored | 78% | 77¢ | 78¢ | — | $174 | Trade → |
| Over 2.5 goals scored | 52% | 52¢ | 53¢ | — | $149 | Trade → |
| Over 4.5 goals scored | 20% | 14¢ | 16¢ | — | $15 | Trade → |
| Over 3.5 goals scored | 31% | 30¢ | 31¢ | — | $13 | Trade → |
This market asks how many total goals will be scored in the Crystal Palace at Tottenham fixture and lets traders express views on different total-goal outcomes. It matters because totals markets aggregate information about expected tempo, attacking intent, and likely match events that determine scoring.
Tottenham and Crystal Palace are Premier League-level sides whose meetings have produced a mix of low- and medium-scoring games depending on tactics and availability of key players. Team styles, recent form, fixture congestion and late lineup changes have historically driven match totals between these two clubs and will be central to how this market resolves.
Market prices represent traders’ aggregated beliefs about which total-goal outcome will occur; price movement reflects new information being incorporated into that consensus. Use prices to compare your own view against the market and to track how expectations change as kickoff approaches and new information arrives.
It covers the total number of goals scored by both teams combined in the scheduled Crystal Palace at Tottenham match, resolved according to the discrete outcomes listed on the Kalshi market page.
Each outcome corresponds to a mutually exclusive total-goal range or exact total defined in the market listing; check the market’s outcome labels to see the exact ranges (for example, specific goal bands or thresholds) that will determine settlement.
The market will settle after the official final score of the scheduled fixture is confirmed; settlement follows Kalshi’s rules for the event and uses the match result reported by the competition’s official source (post-match).
Watch confirmed starting lineups, expected goals (xG) trends, shots on target, set-piece frequency, recent scoring/clean-sheet streaks, and any last-minute injury or suspension updates — these all materially affect total-goal expectations.
Late lineup changes (loss/gain of key attackers or defenders) and significant weather or pitch-condition updates usually prompt rapid price movement because they change expected scoring rates; traders update positions as that new information becomes public.