Football Statistics Articles & Guides
Learn to read and interpret football statistics, probabilities, predictions and data — clear, practical guides for smarter match analysis.
Competition
Tables, form, home advantage and match context.
Home & Away Tables
Splitting the league table into home and away form reveals patterns the overall standings hide.
Form Table
A form table ranks teams by their recent results, capturing momentum the season-long table misses.
Home Advantage
Home advantage is the measurable edge teams tend to gain when playing at their own ground.
Draws
Draw frequency reflects how often matches end level — a pattern that varies by team, style and league.
Predictions
A prediction turns data into a probability estimate for a match outcome — with all the uncertainty that implies.
Attendance
Attendance measures how many spectators fill a stadium — a proxy for atmosphere and, sometimes, context.
Players
Player availability and individual quality can shift a team’s expected level match to match.
The Bradley–Terry Model in Sports Lottery Analysis
How the Bradley–Terry model turns head-to-head results into strength ratings and predictive probabilities — foundations, estimation, extensions and betting applications.
Goals
Scoring, conceding, clean sheets and expected goals.
Average Total Goals
Average total goals measures how many goals a team’s matches tend to feature, combining both sides.
Goals Scored
Goals scored measures a team’s attacking output — how effectively it turns play into goals.
Goals Conceded
Goals conceded measures defensive resilience — how well a team limits the opposition’s scoring.
Clean Sheets
A clean sheet is a match without conceding — a compact signal of defensive control.
Both Teams to Score (BTTS)
BTTS tracks how often both sides find the net in the same match.
Failed to Score
Failed to score tracks how often a team is kept off the scoresheet entirely.
Expected Goals (xG)
Expected goals estimates the quality of chances, offering a more stable read than goals alone.
The Mathematics of xG: The Formulas Behind Predictions
The mathematics behind Expected Goals — from shot geometry to Bayesian models and xG+, and how these formulas power predictions and betting.
Over / Under
Goal lines, corners, cards and shots.
Over 0.5–5.5 Goals Tables
Over tables show how often a team’s matches clear each goal line, from 0.5 up to 5.5.
Under 0.5–5.5 Goals Tables
Under tables show how often a team’s matches stay below each goal line — the mirror of the over tables.
Corner Stats
Corner counts reflect territorial pressure and attacking style more than raw quality.
Card Stats
Cards reflect discipline, match intensity and referee tendencies as much as team quality.
Shots
Shot volume and quality describe how much and how well a team threatens the goal.
The Poisson Model for Football Goals
How the Poisson distribution turns scoring averages into Over/Under, 1X2, BTTS and correct-score probabilities — the model behind the calculator.