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Football League & Club Stats and Trends

League Total Matches Matches Played ? Value Clubs
1. Bundesliga 179 113 63.13%
2. Eredivisie 187 116 62.03%
3. Superliga 108 65 60.19%
4. UEFA Champions League 236 138 58.47%
5. Saudi Pro League 166 97 58.43%
6. 2. Bundesliga 180 103 57.22%
7. Bundesliga 102 58 56.86%
8. Ekstraklasa 167 93 55.69%
9. Primeira Liga 178 97 54.49%
10. Premier League 239 129 53.97%
11. Ligue 1 180 94 52.22%
12. Championship 355 180 50.70%
13. Süper Lig 179 88 49.16%
14. La Liga 218 106 48.62%
15. Scottish Premiership 143 69 48.25%
16. Ukrainian Premier League 127 60 47.24%
17. Serie A 228 102 44.74%
18. Belgian Pro League 184 80 43.48%
19. 1. Division 19 7 36.84%
20. Super League 1 20 7 35.00%

Football is more than a game; it is a narrative defined by data. Every match, goal, and tactical shift contributes to a larger statistical story. To gain a genuine competitive edge, relying on intuition is not enough—you need data-driven insights.

eScored transforms raw numbers into actionable intelligence. Our platform aggregates and analyzes critical league trends and individual club metrics, presenting them in a clear, professional format. Whether analyzing historical performance or forecasting future outcomes, understanding the interplay between a league's general behavior and a specific club's influence is the key to high-probability predictions.

📊 The Anatomy of Match Data: League vs. Club Statistics

Every competition has a distinct “DNA,” and every club operates within—or against—that framework. Understanding this duality is crucial for accurate forecasting.

1. League Statistics: The Macro View

Analyzing a league in its entirety establishes a baseline for expected performance. It answers the question: “What is normal for this competition?”

  • Goal Market Potentials: Aggregate data on the percentage of matches finishing with Over/Under 2.5 Goals and the Average Goals per Match.
  • Both Teams to Score (BTTS): The statistical frequency of matches where both sides find the net across the entire division.
  • 1X2 Distribution: The historical ratio of Home Wins, Draws, and Away Wins, revealing the significance of home-field advantage.
  • Disciplinary & Set-Piece Metrics: League-wide averages for Corners and Cards, indicating the general level of aggression and attacking intensity.

2. Club Statistics: The Micro View

This is where general trends are validated or challenged. Club stats reveal how an individual team performs relative to the league average.

  • Offensive & Defensive Efficiency: Detailed breakdowns of goals scored and conceded, split by Home and Away performance.
  • Club-Specific BTTS: The percentage of matches involving this specific team that result in goals for both sides.
  • Form Guide: Real-time tracking of winning, losing, and drawing streaks.
  • Goal Probability Trends: The likelihood of a specific club participating in high-scoring matches (e.g., Over 2.5 Goals).

Statistics enable you to identify consistency. By synthesizing general league patterns with individual club metrics, you can uncover high-value opportunities in the betting markets:

  • The High-Scoring Scenario:
    • Formula: A High BTTS League + A Club with high offensive output and porous defense.
    • Insight: This combination signals a high probability for Goal Markets (Over 2.5/3.5) and BTTS selections.
  • The Defensive Lock:
    • Formula: A Low-Scoring League + A disciplined Club with a solid defensive record.
    • Insight: Indicates potential value in Under Markets or correct score predictions (e.g., 1-0, 0-0).
  • The Stalemate Strategy:
    • Formula: A League with a high draw rate + A Club prone to sharing points.
    • Insight: A strong indicator for Draw (X) predictions.

With eScored, you move beyond hindsight, using past data to project the most likely future outcomes.

📈 Interpreting the Metrics: A Guide

Data is only useful if it is understood. Here is how to interpret the core components of eScored analytics:

  1. Sample Size (Total Matches): The foundation of reliability. We clearly display the number of games played to contextualize the data.
  2. Criteria Frequency: The raw count of matches that fit a specific trend (e.g., “8 out of 10 matches were Over 2.5”).
  3. Trend Percentage (Probability): The converted probability value.
    • Example: If a club plays 10 matches and 8 result in BTTS, the 80% Trend suggests a statistically significant probability of a recurrence in the next fixture.

💡 Pro Tips: Maximizing Your Analytical Edge

To truly master football prediction using eScored, apply these professional analytical techniques:

Identify Deviations (Value Betting): Compare a club’s stats against the league average. A team that significantly deviates (e.g., scores far more than the league average) often presents the best “value” opportunities against bookmaker odds.
The Home/Away Split: Never rely solely on overall stats. Many teams are “fortresses” at home but perform poorly on the road. Always analyze the Home vs. Away breakdown.
Compound Analysis: Do not view stats in isolation. Combine BTTS trends with Goal Totals to build a comprehensive picture of the match's likely flow.
Monitor Evolution: Form is fluid. Track how statistics evolve during the early, mid, and late stages of the season to catch changes in team momentum.

Summary: Football League & Club Stats and Trends are the blueprint of the modern game. By combining the macro-patterns of the league with the micro-details of club performance on eScored, you can identify high-probability markets and elevate your football predictions from guesswork to science.