Baseball Data Lab

baseball-data-lab is a Python application and library for creating advanced stat summary sheets for MLB players. It supports yearly customizations and provides visualizations. The project can also be imported as a library so you can extend its functionality for custom applications or data processing workflows. It uses the pybaseball and MLB-StatsAPI libraries along with other Python packages to gather and format data for dashboards, reports and other analytical tools.

The project retrieves data from MLB and FanGraphs to ensure accurate, up‑to‑date statistics. Future releases will continue to expand the application's capabilities so it can serve as both a standalone tool and a reusable library.

Sample Summary Sheets

Below are samples of the summary sheets that can be generated by this project. The first sample is a Batting Summary for Riley Greene for the 2024 season. The second sample is a Pitching Summary for Tarik Skubal for the 2024 season.

                

In addition to the baseball stats you would expect, the summary sheets also include the following "advanced" stats:

Batters			Pitchers
BB%	UBR		K/9	Opponent Avg	Swing %
K%	wRC		BB/9	WHIP	Splits
OBP	wRAA		K/BB	BABIP
SLG	wOBA		H/9	LOB%
OPS	wRC+		HR/9	ERA-
ISO	WAR		K%	FIP-
Spd	Splits		BB%	FIP
BABIP			K-BB%	RS/9

Project Structure

The project is organized as follows:

baseball-data-lab/
├── README.md
├── setup.py
├── requirements.txt
├── baseball_data_lab/        # Source code
│   ├── apis/            # API clients for MLB and FanGraphs
│   ├── data_viz/        # Plotting utilities
│   ├── player/          # Player models and helpers
│   ├── summary_sheets/  # Classes that generate summary sheets
│   ├── team/            # Team utilities
│   └── ...
├── examples/           # Example scripts for data collection
└── tests/               # Unit tests

Installation

To get started with the project, follow these steps:

1. Clone the repository:

git clone https://github.com/timothyf/baseball-data-lab.git
cd baseball-data-lab

2. Set up a Python virtual environment (optional but recommended):

python3 -m venv venv
source venv/bin/activate

3. Install the required dependencies:

pip install -r requirements.txt

Usage

Generating Player Summary Sheets

There are several scripts in the examples directory for some basic functionality:

python examples/generate_player_summary.py [options]

Options:
    --players [1 or more player names]
    --teams [1 or more team names]
    --year [specify a 4-digit year]

Saving Statcast Data

Run the project by executing the script in the examples directory:

python examples/save_statcast_data.py [options]

    --players [1 or more player names]
    --teams [1 or more team names]
    --year [specify a 4-digit year]

Examples

Generate a player sheet for Riley Greene

python examples/generate_player_summary.py --players 'Riley Greene'

Output:
output/2024/Tigers/batter_summary_riley_greene.png

Generate player sheets for all of the 2024 Detroit Tigers

python examples/generate_player_summary.py --teams 'Detroit Tigers' --year 2024

Database Setup

To set up the PostgreSQL database for Baseball Data Lab, follow these steps:

1. Install PostgreSQL:
   Download and install PostgreSQL from postgresql.org.

2. Create the Database: Open your terminal and run:

   createdb baseball_data_lab_db

3. Initialize the Schema: Run the provided setup_db.sql file to create the tables:

   psql -d baseball_data_lab_db -f setup_db.sql

4. Verify the Setup: Connect to your database and list the tables:

   psql -d baseball_data_lab_db
   \dt

   You should see tables such as games, players, umpires and plate_appearances.

Inspiration

This project was inspired by my time working in the R&D department of the Washington Nationals, and the pitching summary project from Thomas Nestico. Here is a link to an article describing his project:

https://medium.com/@thomasjamesnestico/creating-the-perfect-pitching-summary-7b8a981ef0c5

Copyright Notice

This package and its author are not affiliated with MLB or any MLB team. This API wrapper interfaces with MLB's Stats API. Use of MLB data is subject to the notice posted at http://gdx.mlb.com/components/copyright.txt.

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