isapy-data 0.1.3

Python data module similar to the R data package for Introduction to Sports Analytics using R

isapy-data

This is the repository for the python data module (author: Ryan Elmore) that is similar to the R package ISAR for Introduction to Sports Analytics using R by Ryan Elmore and Andrew Urbaczewski.

PyPI

View the project on PyPI

Installation

pip install isapy-data

For development:

pip install -e ".[dev]"

Usage

import isapy_data

# List all available datasets
isapy_data.list_datasets()

# Load a dataset
masters = isapy_data.load_data("masters")

# Get information about a specific dataset
isapy_data.describe("masters")

# Print info about all datasets
isapy_data.info()

Available Datasets

Golf

• masters - Masters Tournament data
• ow_golf_rankings - Official World Golf Rankings
• pga_tournaments - PGA Tour tournament data

NBA

• nba_adv_team_2021, nba_adv_team_2023, nba_adv_team_2024, nba_adv_team_2025 - Advanced team statistics
• nba_ff_team_2021, nba_ff_team_2023, nba_ff_team_2024, nba_ff_team_2025 - Four factors team statistics
• nba_games_2021, nba_games_2023, nba_games_2024, nba_games_2025 - Game results
• nba_nuggets_shots - Denver Nuggets shot location data

NHL

• avs_roster_2021, avs_roster_2022 - Colorado Avalanche roster data
• avs_stats_2021, avs_stats_2022 - Colorado Avalanche player statistics
• nhl_data_hockey_reference - NHL data from Hockey Reference
• nhl_team_stats_2021, nhl_team_stats_2022 - NHL team statistics

English Premier League

• epl_gk_stats_2022 through epl_gk_stats_2025 - Goalkeeper statistics
• epl_player_stats_2022 through epl_player_stats_2025 - Player statistics
• epl_team_stats, epl_team_stats_2023, epl_team_stats_2024, epl_team_stats_2025 - Team statistics

NWSL

• nwsl_player_stats, nwsl_player_stats_2023, nwsl_player_stats_2024 - Player statistics

DraftKings

• dk_edm_col - Edmonton vs Colorado
• dk_lac_dal - LA Clippers vs Dallas
• dk_mem_utah - Memphis vs Utah
• dk_nyr_car - NY Rangers vs Carolina

License

MIT

Citation

If you use this data in your research, please cite:

Elmore, R. (2025). Introduction to Sports Analytics using Python.