Skill Analysis — eFootball 2026
Skill Analysis is a position-aware statistical tool that measures how each eFootball 2026 skill actually affects player performance. It uses Cohen's d effect sizes — a standardized measure of how much skill holders differ from non-holders — across 39,000+ player cards to reveal which stats truly matter for every skill at every position.
The radar chart shows the 8 most important stats for any selected skill, with separate lines per position so you can spot where a skill demands different stat profiles for a CF versus a DMF. The sigmoid probability curve goes deeper: it plots the chance of being a good fit as each stat value moves from 40 to 99, with green, yellow, and red fit zones showing where players fall on the curve. You can overlay a specific player to see exactly where they sit.
Position-specific tables rank every stat by Cohen's d with 95% confidence intervals, holder means versus non-holder means, and standard deviations that reveal how strict the stat requirement is. The position similarity matrix shows how stat profiles compare across positions — useful for understanding whether a Track Back skill trained on a CMF translates well to a DMF or CB.
The What-If Calculator lets you input custom stat values and instantly see fit scores for every position. It breaks down each stat's contribution so you know exactly which attributes to prioritize during player progression. Position Migration Analysis shows the easiest and hardest position transitions for any skill, with compatibility percentages and shared-strength breakdowns.
Multi-Skill Comparison stacks 2-3 skills side by side to find synergies (stats that align) and conflicts (stats that pull in opposite directions). The reference tab includes a full skill meta analysis ranking all skills by usage rate multiplied by average Cohen's d impact, plus a complete skill list with position-dependence flags. Sample size reliability indicators (green, yellow, red) ensure you can trust the numbers behind every insight.