📐 Methodology

Explanations of the analytic indicators used by JPick Lab.

Methodology — Calculation logic and how to read the data behind each indicator.

"What does the gap between xG and actual goals really tell us?" "How does the absence of a high-Player-Impact starter change a team's win probability?" "Do X-Factors with high Edge Scores actually change the flow of a game?" Methodology is the reference collection that answers these questions. From xG (expected goals) — the global football standard — to JPick's proprietary Player Impact (in-team influence) and Edge Score (breakout candidate rating). We break down each metric's calculation method and what it can and cannot tell us, building football data literacy in plain language for readers who aren't statistics experts.

Every Methodology article is a Living Document. When we update a metric's calculation logic, we update the article body so it always reflects the definition currently in use. Revision histories are logged at the bottom of each article. Come back to this index any time you need a refresher on how to read the data while browsing an Analysis or a Preview.

PLAYER-IMPACTExplainer

What is Player Impact (PI)? Measuring a Player's Effect on Team Results

Player Impact (PI) measures how much a team's results change when a specific player starts versus when they do not. It is not a player skill rating — it is an in-team influence score on a −100 to +100 scale.

📅 2026-04-25
XGExplainer

What is Expected Goals (xG)? A Data Reader's Guide

How xG is calculated, what it tells us, and what it does not. An accessible guide to the probability metric that powers JPick Lab's analysis.

📅 2026-04-22