🏃 Centennial Park Lap Splits (Strava)

A Python script that analyzes lap split data for the iconic Centennial Park Loop in Sydney, Australia using the Strava API. It fetches athlete activity data, calculates lap times, and highlights performance insights like fastest laps and averages.

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🚀 Features

• Retrieves lap splits for Centennial Park Loop
  (Strava Segment ID: 2524690)
• Calculates:
  • Fastest lap per activity
  • Average lap time
• Compares performance with other athletes
• Displays detailed lap-by-lap breakdown for the authenticated athlete

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🧰 Prerequisites

• Python 3.x
• stravalib library
  Install via pip:

  pip install stravalib

• Strava Access Token
  Obtain one by following the Strava API documentation

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⚙️ How It Works

1. Authentication
   Uses your Strava access token to authenticate with the API.

2. Data Fetching
   Retrieves all segment efforts for the Centennial Park Loop.

3. Lap Time Calculations

   • Converts lap durations to seconds
   • Tracks fastest lap per activity
   • Computes average lap time

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📊 Output

The script prints:

• Lap-by-lap details
• Fastest and average lap times
• Number of laps per activity
• Summary across all activities

Example Output:

John Doe, 12345
Name: Centennial Park Loop (Segment ID: 2524690)
Other Athletes: Jane Smith, Michael Lee
Laps: 3

    Lap time: 00:04:30
    Lap time: 00:04:20
    Lap time: 00:04:15

Fastest Lap: 00:04:15
Average Lap: 00:04:22

...

Average Laps:
00:04:22 Centennial Park Loop 

Fastest Ever Laps:
00:04:15 Centennial Park Loop — Jane Smith, Michael Lee

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🧪 Usage

1. Clone this repository or download the script.
2. Ensure Python 3.x and stravalib are installed.
3. Run the script with your Strava access token:

   python centennial_lap_splits.py <YOUR_ACCESS_TOKEN>

   Replace <YOUR_ACCESS_TOKEN> with your actual token.

Example:

python centennial_lap_splits.py abc123xyz456