~/training-log case-study 2022-2026.md n=40 Δt=39mo rev=2026.01

Body & strength, measured monthly from 2022-10 to 2026-01.

A personal longitudinal analysis of four metrics: body weight, body fat percentage, and both absolute and relative 1RM in the squat, deadlift, and bench press—across a 39-month training period, with the strength measures serving as proxies for strength adaptations.

subjectN = 1 (self)
window2022-10 → 2026-01
frequencymonthly
sourcetraining log + photo est.
§1

Headline metrics

start now
§2

Body weight · monthly time series

kg · background shading = phase

BODYWEIGHT.KG

39 mo · min=82 · max=115 · Δ=−31

Three cuts, one bulk.

Each phase ends with a re-feed; each cut goes deeper than the last. Lowest observation 82 kg at index 31 (May '25) — a −33 kg drop from baseline.

PHASE LEGEND
First cutOct '22 – Aug '23
Second cutSep '23 – Aug '24
Third cutSep '24 – May '25
RecompJun '25 – Jan '26
§3

Component series

BODY FAT · ABSOLUTE 1RM · RELATIVE 1RM

BODYFAT%

% · min=11.5 · max=27

ABSOLUTE 1RM

kg · bench · squat · deadlift

RELATIVE 1RM

× BW · dashed = 1.0×
§4

Phase length

4 rows · start → end
# Phase · Period Type Months Δ Weight Δ Body fat Δ Bench Δ Deadlift Δ Squat
// DATA LIMITATIONS
Body fat percentage is estimated using AI-based photo analysis and is therefore subject to systematic error. Body weight is based on multiple recorded measurements, with some early anchor points relying on memory; overall trends are likely valid, though some intermediate values may be inaccurate. Training logs provide reliable records of external load. Squat data is missing for twelve months (Sep 2023–Aug 2024) due to injury, which affects the interpretation of strength development during this period.