4.2 / Individual Player Analysis / Individual Season Analysis

Individual Season Analysis: Reading a Full Season in One Profile

The full statistical profile behind this report type: a percentile radar benchmarked against position peers, confidence-tiered metrics so a thin sample is never read the same as a full season, and the season trend rather than one static number. Every number is rolled up from the same category framework that runs the wider Waltzing Analytics player database (Shooting, xG, Passing, Progression, xT, Defending, Discipline, Ratings, and more).

The percentile radar: one polygon, benchmarked against position peers

Each axis is a metric category, scored against the same position group and minutes threshold, not the whole league, so a full-back's progression numbers are never read against a winger's. A player who's genuinely excellent at one thing and merely adequate at everything else reads as a spike, not a smooth circle, and that shape is the point.

Radar chart showing an illustrative player's percentile scores across eight metric categories (Shooting, xG, Passing, Progression, xT, Defending, Discipline and Ratings), benchmarked against position peers — An 8-category percentile profile, benchmarked against position peers on a 900+ minute threshold. Illustrative profile, not a named player.

Confidence tiering: not every sample gets the same weight

Before a number goes in a report, its sample size gets checked. Five metrics below come from a full season at this player's usual minutes load; the sixth (aerial win percentage) comes from a 340-minute sample, because the role rarely puts the player in the air. The report says so, rather than presenting both with equal confidence.

Horizontal bar chart of six metric percentiles for an illustrative player, with minutes-played sample size and a high or low confidence label attached to each bar — Percentile rank and underlying sample size, side by side: a 340-minute sample is flagged low confidence rather than read the same as a full season. Illustrative profile, not a named player.

A season is a trend line, not a single number

A single-figure season average can hide a player who was excellent for three months and faded, or one who started slowly and finished the year in form. Match-by-match percentile, read against a rolling average, is what an Individual Season Analysis uses instead of one static number.

Line chart of an illustrative player's match-by-match xT percentile across a 28-match season, with a 4-match rolling average line showing the trend rising then declining — Match-by-match percentile against a 4-match rolling read: the shape of a season, not just its average. Illustrative profile, not a named player.

Also includes a most-similar-players table, ranked by profile distance rather than shared tags, and delivered as a single PDF for the season and player you name.

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