Weekly advanced box — tables + EPA-style chart (demo)

This is a demo article for your blog stack: everything below lives in plain Markdown / HTML so Parsedown can render it. Swap numbers and swap img/*.svg for your own exports (Figma, Sheets → SVG, Python matplotlib, etc.).

Rolling efficiency (chart)

Bar chart of weekly EPA-style efficiency across eight weeks — Static SVG placeholder — replace with a chart from your league export (CSV → plot → SVG keeps pages fast).

Team snapshot (Markdown table)

Squad phase	xPts (sim)	Deep runs / 90	Set-piece xG	Notes
Early season	1.82	4.1	0.18	Pressing triggers still messy
Mid season	2.05	5.6	0.24	Wide overload finally stable
Playoff push	1.94	5.9	0.31	Resting starters two matches

Player micro-stats (wide table in scroll wrapper)

Per-90 style rates — fake youth intake cohort
Player	Min	Prog	xA	Tck	Pres	Carries into box	Role tag
A. Nkosi	842	6.8	0.21	1.9	14.2	2.1	Mezzala
L. Varga	1204	3.2	0.08	4.4	9.1	0.4	HB destroyer
J. Pike	310	8.9	0.33	0.8	6.4	4.8	Inverted winger

“Analytical tools” callout

Stack I actually use on long saves

Spreadsheet — pivot match logs you paste from HTML exports.
Notebook — Python/R for rolling correlations (minutes vs. injury risk).
Shot map overlays — screenshot + transparent PNG on top of pitch template.
Versioned tactics — git folder of `.rtf` or PDF exports with match notes.

Optional pipeline (code block)

export/round_csv.py  →  out/matches.csv
out/matches.csv      →  notebooks/rolling_epa.ipynb
notebooks/figs/      →  img/chart-epa-weekly.svg  (copy into blog repo)

Blog tip: keep SVGs under ~30 KB when you can — mobile readers thank you.