| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 2.5 goals scored | 45% | 45¢ | 47¢ | — | $393 | Trade → |
| Over 3.5 goals scored | 23% | 25¢ | 27¢ | — | $1 | Trade → |
| Over 4.5 goals scored | 0% | 9¢ | 15¢ | — | $0 | Trade → |
| Over 1.5 goals scored | 0% | 72¢ | 74¢ | — | $0 | Trade → |
This market asks how many total goals will be scored in the Aston Villa at Lille match; totals markets matter because they aggregate expectations about match tempo and scoring into tradeable outcomes.
Aston Villa and Lille are clubs with distinct domestic styles that may meet in European competition or scheduled friendlies; differences in league rhythm, squad rotation, and competition stakes shape scoring dynamics. Historical head-to-heads, recent form, and the timing of the fixture within each club's calendar all provide context for expected goals.
Market prices reflect the collective assessment of which total-goals ranges are most likely and update as new information arrives; price movement typically follows changes in lineups, in-game events, and pre-match news.
Closure is listed as TBD; KALSHI will set and publish a closing time, which is typically before kickoff. Check the market page or your KALSHI notifications for the exact cut-off.
The market offers four mutually exclusive total-goal outcomes; the exact labels and goal-range definitions are shown on the market page. Confirm the outcome definitions on KALSHI before trading so you know which contract corresponds to which total-goals band.
The presence or absence of primary goal scorers, creative midfielders, and defensive leaders (centre-backs and the goalkeeper) have the biggest influence. Late rotation, international call-ups, or surprise inclusions can materially change expected totals.
Goals, red cards, and injuries rapidly change expected total goals and therefore market prices, which often move quickly after such events. Use live official updates on lineups and match incidents to interpret price shifts during the game.
Home advantage can influence tempo and scoring opportunities through familiarity with the pitch, crowd support, and reduced travel strain for Lille. The net effect depends on each team's historical home/away scoring tendencies and the specific match context (e.g., travel schedules and fixture congestion).