Football Match Analysis Signals

xGoal analyzes every match through 30 professional data signals. Each signal quantifies a different dimension of football — from expected goals (xG) and pressing intensity to recent form and squad availability.

Click any signal below to explore its connections and methodology.

Offense: 10

Defense: 7

Context: 13

Offense Signals

Offensive signals measure attacking threat: how teams create chances, dominate territory, convert opportunities, and threaten from set pieces and transitions.

Defense Signals

Defensive signals assess how teams prevent goals: structural organization, goalkeeper performance, pressing effectiveness, and vulnerability to errors.

Context Signals

Context signals capture match circumstances beyond tactics: recent form, squad availability, fixture congestion, venue effects, and environmental factors.

Aerial Dominance

Offense

Aerial Dominance measures how often and how effectively a team wins contested headers across the pitch.

Connected Signals

Read Full Methodology →

Frequently Asked Questions About Match Signals

What are football analysis signals?

Football analysis signals are data-driven metrics that quantify different aspects of a football match. xGoal uses 29 signals across three categories (offense, defense, context) plus H2H deep-dive signals and a meta-signal to build a complete pre-match picture. Each signal is calculated from professional data sources and combined using calibrated weights to produce probability ranges.

How many signals does xGoal use?

xGoal uses 29 professional signals: 8 offense signals (form, chance quality, conversion efficiency, possession efficiency, crossing quality, creativity, counter attack, set piece threat), 8 defense signals (defensive reliability, pressing intensity, goalkeeper, tackle efficiency, aerial dominance, aerial defense, error-prone analysis, discipline risk), 8 context signals (venue, availability, schedule, league position, weather impact, referee tendency, manager effect, H2H record), 5 H2H deep-dive signals (tactical, offensive, defensive, physical patterns), and 1 meta-signal (uncertainty).

How are signals combined into match insights?

Each signal is calculated independently and assigned a calibrated weight based on historical predictive accuracy. The weighted signals are combined to produce probability ranges (e.g. "Home win: 35-45%") rather than single-point predictions. When data is missing or stale, the affected signal is degraded and probability ranges widen to reflect the increased uncertainty.

Which signals are most important for match analysis?

No single signal dominates. The most predictive signals vary by league: pressing intensity is crucial in the Bundesliga, defensive reliability matters most in Serie A, and possession efficiency is key in La Liga. xGoal uses all 29 signals together because multi-signal analysis outperforms any individual metric.

Learn how these signals work together

Read our complete guide to understand how 29 signals combine into probability ranges.

Full Methodology → How Analytics Works →