Football Analysis & Research
Data-driven insights, betting strategy guides, and match research from our analysts.
Why Football Betting Volume Changes During the Season
Football betting opportunities change throughout the season. Learn how league calendars, international breaks and off-season periods affect insight volume.
Corners Betting in Football: How to Analyse Over and Under Corner Markets
Corner markets can offer value, but they require specific analysis. Learn how to evaluate team style, pressure, tempo and match context for corner betting.
Closing Line Value in Football: Why Beating the Closing Odds Matters
Closing Line Value, or CLV, helps bettors understand whether they are consistently getting good odds before the market moves.
Sample Size in Football Betting: Why 10 Bets Tell You Almost Nothing
Sample size matters in football betting. Learn why small samples can be misleading and why long-term tracking is essential for evaluating any strategy.
Football Betting Variance: Why Good Systems Still Have Losing Streaks
Losing streaks are part of football betting variance. Learn why even profitable statistical systems can have red days, drawdowns and sequences of losses.
Why We Reject Most Football Matches Before Publishing an Insight
Not every football match is worth analysing as a betting opportunity. Learn why FCResults rejects most fixtures before publishing a data-driven insight.
Expected Assists (xA): The Metric That Reveals True Creativity in Football
Expected assists (xA) in football measures genuine chance creation — not lucky assists. Learn what xA is, how it works, and how to use it in analysis.
How We Analyse Football Matches: Our Data-Driven Methodology
A transparent look into the models, data sources, and filters we use before publishing any tip. No gut feeling — just structured research.
BTTS: Why 'Both Teams to Score' Is One of the Best Markets for Value Bettors
BTTS is consistently mispriced by bookmakers who rely on general market sentiment rather than team-specific data. Here's how to exploit that.
Bankroll Management: The Only System That Protects Your Capital Long-Term
Most bettors lose not because they pick wrong — but because they stake wrong. Here's the framework we recommend to every FCResults subscriber.
How to Read Football Statistics: A Beginner's Guide to Data-Driven Analysis
New to football statistics? This beginner's guide explains xG, xGA, possession, PPDA, progressive passes, and how to read match data like an analyst.
How Bookmakers Set Football Odds (And How to Beat Them Statistically)
How do bookmakers set football odds? We explain the overround, margin, and why statistical analysis can identify genuine edges.
How to Use Poisson Distribution to Predict Football Results
Learn how Poisson distribution is used to predict football match results. Step-by-step guide with a worked example, from goal averages to scoreline probabilities.
Over 2.5 Goals: How to Find Value in the Most Popular Football Market
Over 2.5 goals is football's most popular betting market. Learn the statistical approach to finding value — and the traps most people fall into.
Value Bets in Football: What They Are and How to Identify Them Statistically
What is a value bet in football? This educational guide explains expected value, implied probability, and how statistical analysis is used to identify value bets.
Football Betting Research: How to Analyze a Match Before Betting
Learn how to conduct proper football betting research. This step-by-step guide covers data sources, key metrics, and a structured methodology for match analysis.
What Is PPDA in Football and Why Defensive Pressure Matters
PPDA in football measures pressing intensity. Learn what Passes Allowed Per Defensive Action means, how to read it, and how to use it in match analysis.
The 7 Best Football Statistics Sites in 2026 (Compared)
Looking for the best football statistics sites in 2026? We compare Understat, FBref, Sofascore, WhoScored, FootyStats, Opta/StatsBomb, and FCResults honestly.
Home Advantage in Football: What the Data Actually Shows
Does home advantage still exist in football? We examine the statistics — xG, crowd effects, referee bias — to find out what the data really shows.
What is Expected Goals (xG) in Football and Why It Matters
Expected goals (xG) measures the quality of football chances, not just the score. Learn what xG is, how it works, and why it tells you more than goals alone.