| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 2.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 4.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 1.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 3.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks traders to predict the total number of goals scored in the Leeds United at Crystal Palace match, letting participants express a view on how high- or low-scoring the game will be. Totals markets matter because they focus on match dynamics (attacking intent, defensive solidity, tempo) rather than which team wins.
Leeds United and Crystal Palace are established English clubs whose matches can produce a wide range of scorelines depending on form and selection; recent seasons have seen both teams capable of scoring and conceding. Historical head-to-head patterns, home/away tendencies, and the fixture’s competition and timing all shape expectations for total goals.
Prediction market prices reflect the collective view of traders about which goals-range outcome is most likely; movements typically incorporate late-breaking information such as starting lineups, injuries, and weather. Use prices as a real-time signal of market consensus, not a fixed forecast.
It measures the combined number of goals scored by both teams in the specified match and divides outcomes into predefined ranges (e.g., low, medium, high totals); the market settles to whichever range the official final score falls into.
The market typically closes shortly before kickoff (check the exchange for the exact time). Resolution generally uses the official match score at the end of regulation time (including stoppage time) according to the market’s specific rulebook.
Most totals markets include stoppage time added to the 90 minutes but exclude extra time and penalty shootouts; however, you should confirm the settlement rules posted on the market page for this specific event.
Late changes can materially shift expectations: the loss of a primary striker or a key defender alters goal probabilities, and in-play substitutions can change momentum. Traders typically update positions after official team sheets and during live play to reflect those developments.
Look at recent head-to-head scorelines, each club’s home and away goal averages, defensive consistency, and how either side has fared against teams with similar playing styles—these contextual patterns help judge whether the fixture typically produces many or few goals.