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Soccer Dashboard

SoccerMon is the largest elite soccer athlete health and performance monitoring dataset available today, including both subjective and objective metrics. The dataset was collected during 2020 and 2021 by two professional teams in the Norwegian women's elite soccer league (“Toppserien”) using the PmSys athlete monitoring system.

Subjective data was collected in the context of wellness, training load,game performance, injuries, and illnesses, using the PmSys mobile app PM Reporter Pro. Moreover, during training sessions and games, players used the wearable GPS performance tracking equipment STATSports APEX to monitor objective metrics such as location, heart rate, speed, and acceleration. Overall, the SoccerMon dataset contains 54,485 subjective reports and 10,075 objective report, the latter including 6,248,770,794 GPS positions.

We present SoccerDashboard, a user-friendly, interactive, modularly designed and extendable dashboard for the analysis of the SoccerMon dataset in particular, and health and performance data from soccer athletes in general. SoccerDashboard is open-source and publicly accessible over the Internet for coaches, players and researchers from fields such as sports science and medicine. SoccerDashboard can simplify the analysis of soccer datasets with complex data structures, and serve as a reference implementation for multidisciplinary studies spanning various fields, as well as increase the level of scientific dialogue between professional soccer institutions and researchers.

Quick Start

Installation - The Long Version

Python

Make sure you have Python version 3.8 (minimum) before you start the installation. You can check your Python version on the command line/terminal/shell.

  1. Open the terminal:

Windows

Press Win+R
Type powershell
Press OK or Enter

macOS

Go to Finder
Click on Applications
Choose Utilities -> Terminal

Linux

Open the terminal window
  1. Display your Python version:
python --version

OR

python -V
  1. Install software updates if necessary:

If your version of Python does not fit the requirements, update it by downloading the relevant version here.

Update the package management system which can be used to install and manage software packages called pip if your version of Python has not been downloaded from python.org.

Installing Streamlit

Install Streamlit on on Windows/macOS/Linux (https://docs.streamlit.io/library/get-started/installation).

Streamlit's officially-supported environment manager on Windows is Anaconda Navigator (https://docs.anaconda.com/navigator/). If you don't have Anaconda, follow the steps provided on the Anaconda installation page (https://docs.anaconda.com/anaconda/install/windows/). Demonstration videos for installing Streamlit via Anaconda are available on YouTube:

Cloning the Repository

When a repository is created on GitHub.com, it exists as a remote repository. You can clone a repository to create a local copy on your computer and sync between the two locations (https://docs.github.com/en/repositories/creating-and-managing-repositories/cloning-a-repository?tool=webui).

You can clone the repository from the command line, or use a Git GUI such as:

Libraries

In order to run SoccerDashboard, a number of Python libraries need to be installed.

pip install -r requirements.txt

Deployment

Deployment (Local)

Create a file named secrets.toml in the soccer-dashboard/.streamlit directory with the following content:

[mysql]
host = <hostname>
port = <port number>
user = <username>
password = <password>
database = <database name>

To launch the app locally, you can run the following command :

streamlit run soccer-dashboard/streamlit_app.py

Open dashboard in the browser :

http://localhost:3000

Deployment (Cloud)

[mysql]
host = <hostname>
port = <port number>
user = <username>
password = <password>
database = <database name>

Screenshot from 2022-11-04 11-41-22

INTERNAL NOTES