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User Guide

How to Read Our Match Analysis

A guide to understanding the data we provide for each match — from pG predictions to form and head-to-head statistics.

5 minute read

What You'll Find in Match Details

When you click on a match, you'll see a comprehensive analysis panel. Here's what each section tells you and how to interpret it.

Our goal is to give you all the context you need to form your own opinion about a match. We show the data — you draw the conclusions.

Predicted Goals (pG)

The headline numbers: our machine learning prediction of goals for each team.

Example Display
Liverpool
2.1
Home pG
vs
Chelsea
1.2
Away pG
Home pG:Expected goals for the home team based on our model
Away pG:Expected goals for the away team based on our model
Total pG:Sum of both — indicates expected match total

Team Form

Recent performance data showing how each team has been playing.

Form Indicators

WWDLW
Last 5 matches

W = Win, D = Draw, L = Loss. Most recent result on the right.

Overall Form

Results from all recent matches regardless of venue.

Good for understanding general momentum and confidence.

Home/Away Form

Results specific to home or away matches.

More relevant for the specific match context.

How to Interpret Form

  • WWWWW: Excellent form — team is confident and performing well
  • WDWDW: Solid but inconsistent — struggles to win back-to-back
  • LLDLL: Poor form — team is struggling and low on confidence
  • Recent changes matter: A team going LLWWW is improving; WWWLL is declining

Performance Metrics

Detailed statistics about attacking and defensive performance.

Attacking Metrics

  • Goals per matchScoring rate
  • xG per matchChance creation
  • Goals vs xGFinishing quality

Defensive Metrics

  • Goals concededDefensive solidity
  • xG concededChances allowed
  • Clean sheetsShutout ability

Understanding Over/Underperformance

Goals > xG (Overperforming)

Team is scoring more than expected. Could indicate clinical finishing or luck that may regress.

Goals < xG (Underperforming)

Team is scoring less than expected. Could indicate poor finishing or bad luck that may improve.

Head-to-Head History

Historical results when these specific teams have played each other.

Example H2H Summary

5
Liverpool wins
3
Draws
2
Chelsea wins
Last 10 meetings • Avg goals: 2.8 per match

H2H Considerations

  • Sample size matters: 2-3 meetings isn't enough for strong conclusions
  • Recency matters: A match 5 years ago with different squads is less relevant
  • Context varies: Cup finals vs league games have different dynamics
  • Some teams do have "bogey" opponents — but don't overweight this

Confidence Scores

An indicator of how much data supports our prediction.

75-100%
High Confidence
Strong data foundation
50-74%
Medium Confidence
Reasonable data
0-49%
Lower Confidence
Limited data

What Affects Confidence

  • Data availability: More historical matches = higher confidence
  • Team consistency: Erratic teams are harder to predict
  • Match clarity: Clear favorite vs close match affects certainty
  • H2H data: Previous meetings between these teams

What the Data Can't Tell You

Our analysis is comprehensive, but some factors require your own research:

Check Separately

  • !Team news (injuries, suspensions)
  • !Lineup changes and rotation
  • !Weather conditions
  • !Motivation factors (title race, relegation)

Unpredictable

  • ?Early red cards or injuries in match
  • ?Referee decisions
  • ?Individual brilliance or errors
  • ?Random deflections, woodwork, etc.

Key Takeaways

  • pG is the headline — our predicted goals for each team
  • Form shows momentum — look at patterns, not just W/L counts
  • Metrics reveal depth — xG trends show sustainable performance
  • H2H adds context — but don't overweight historical matchups
  • Always check team news — data can't capture last-minute changes

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