@velozs/cycling-analytics

This library offers essential functions to calculate key training metrics:

Normalized Power (NP): Measures workout intensity, accounting for variations in effort and intensity.
Intensity Factor (IF): Quantifies workout intensity relative to an athlete's FTP (Functional Threshold Power).
Training Stress Score (TSS): Provides a numerical value reflecting the physiological stress of a training session.
Chronic Training Load (CTL): Tracks an athlete's long-term training load.
Acute Training Load (ATL): Monitors an athlete's recent training stress.
Training Stress Balance (TSB): Evaluates the balance between fatigue and freshness.

Getting Started
Usage
License
Acknowledgments

Getting Started

To get started with @velozs/cycling-analytics, simply install it using npm:

npm install @velozs/cycling-analytics

Usage

To calculate the normalized power (NP) of a workout, use the calculateNormalizedPower function:

import { calculateNormalizedPower } from '@velozs/cycling-analytics';

const powerData = [100, 100, 100, 100, 100, 100, 100, 100, 100, 100];
const np = calculateNormalizedPower(powerData);

To calculate the intensity factor (IF) of a workout, use the calculateIntensityFactor function:

import { calculateIntensityFactor } from '@velozs/cycling-analytics';

const np = 160; // You can use the result of calculateNormalizedPower
const ftp = 240;
const intensityFactor = calculateIntensityFactor(np, ftp);

To calculate the training stress score (TSS) of a workout, use the calculateTrainingStressScore function:

import { calculateTrainingStressScore } from '@velozs/cycling-analytics';

const np = 160; // You can use the result of calculateNormalizedPower
const ftp = 240;
const duration = 3600; // Duration of the workout in seconds
const tss = calculateTrainingStressScore(duration, np, ftp);

To calculate the chronic training load (CTL) of a workout, use the calculateChronicTrainingLoad function:

import { calculateChronicTrainingLoad } from '@velozs/cycling-analytics';

const yesterdayCtl = 100;
const tss = 100; // You can use the result of calculateTrainingStressScore
const ctl = calculateChronicTrainingLoad(yesterdayCtl, tss);

You can customize the time window used to calculate the chronic training load (CTL) by passing a third parameter to the calculateChronicTrainingLoad function:

import { calculateChronicTrainingLoad } from '@velozs/cycling-analytics';

const yesterdayCtl = 100;
const tss = 100; // You can use the result of calculateTrainingStressScore
const ctl = calculateChronicTrainingLoad(yesterdayCtl, tss, 60); // 60 days

License

This project is licensed under the MIT License - see the LICENSE file for details.

We would like to extend our sincere gratitude to the authors of "Training + Racing with a Power Meter" for their invaluable contributions to the field of cycling training and power meter analytics. Their work has inspired and informed this library, @velozs/cycling-analytics, and has been a source of knowledge and inspiration for countless cyclists.