Trends and Streaks

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  • L = Last matches
  • x/y = Occurs x times in the last y matches
  • Example: L9/10 → occurred in 9 of the last 10 matches
  • If the team is not specified, it refers to its matches in general

Trends and Streaks Analysis

Discover statistical patterns and trends of teams before each match. Analyze streaks of goals, cards, corners and more to make better decisions.

Updated trends from the last 20 matches of each team
Historical head-to-head (H2H) analysis
Patterns of goals, cards, corners and results
Filters by date and advanced search by team or league
Visual indicators of active and broken streaks

Frequently Asked Questions

Everything you need to know about trends

9 frequently asked questions

Trends are statistical patterns that repeat in a team's matches. For example, if a team has scored in their last 8 home games, that's a trend that can help you predict future results.

Streaks are calculated by analyzing each team's recent matches. We show the format L x/y where x is the number of times the event occurred in the last y matches. For example, L9/10 means it happened 9 times in the last 10 matches.

A live streak indicates that the trend is still active and hasn't been broken in the last match. It's an indicator that the pattern continues and is more likely to repeat.

Data is updated daily after matches finish. Trends are automatically recalculated to reflect the most recent results.

Yes, you can use the league icons at the top to filter and see only trends from a specific competition. You can also search for teams using the search bar.

No, trends are statistical tools that show historical patterns. While they can help make informed decisions, football always has an element of unpredictability.

We analyze multiple types of trends: goals (over/under 1.5, 2.5, 3.5), both teams to score (BTTS), results (wins, draws, losses), yellow and red cards, corners, and specific trends like home or away. We also include head-to-head (H2H) trends between teams.

Trends are a complementary tool for your analysis. We recommend combining them with other factors such as the team's current form, injuries, motivation, and match context. A strong trend (e.g., L9/10) indicates high consistency, but you should always consider the full picture before drawing conclusions.

A match may not show trends for several reasons: the team is new to the competition, there isn't enough historical data (we need at least 5-10 matches), or simply no statistically significant patterns have been detected. We only show trends when there is solid evidence of a repetitive pattern.

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