Instant, No-Code Training Load Analytics for Coaches and Sports Scientists

main_acwr.py Plug-and-play Python script — fully functional and ready to run
acwr_template.xlsx Sample dataset (2 athletes × 42 days)
README.md Quick installation and usage guide (English)

✅ Compute ACWR using either:

EWMA (Exponentially Weighted Moving Average), or Rolling Average methods

⚙️ Customize acute/chronic time windows (default: 7 / 28 days)

🎯 Automatically classify daily load into: LOW · SWEET · AMBER · RED zones

📊 Export results as clean Excel reports — includes both summary and detailed sheets

📈 Auto-generate time-series charts for each athlete

✅ No coding required — ready to use out of the box

📈 Fast, reproducible workload monitoring

⚠️ Instantly identify spikes and high-risk periods

💼 Perfect for clubs, academies, and performance teams

Python (standard installation)

Packages:
pandas, numpy, matplotlib, xlsxwriter
(Installation steps included in the README)