ncaa-bbStats 1.0.0

A package to analyze college baseball stats by year and division

ncaa_bbStats (AKA CollegeBaseballStatsPackage)

ncaa_bbStats is an open-source Python package for retrieving, parsing, and analyzing Division I, II, and III college baseball team statistics (2002–2025). It also includes tools to retrieve and analyze MLB draft results of NCAA players. Built for sports analysts, developers, and fans, the package supports both live scraping from the NCAA stats site and cached JSON access for faster use.

Note
This project is under active development.

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Documentation

Documentation is available at: ncaa_bbStats's ReadTheDocs

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Install

Still needs testing

pip install ncaa_bbStats

Team Stats Module

Overview

This module enables you to extract season statistics for college baseball teams across all NCAA divisions. Some examples you can retrieve include:

Batting Stats: BA, HR, 2B, 3B, OBP, SLG

Pitching Stats: ERA, WHIP, K/9, SHO

Fielding Stats: FPCT, E, DP, TP

Retrieval Functions

get_team_stat(stat_name: str, team_name: str, year: int, division: int): Retrieves a specific statistic for a given team from the cached data

display_specific_team_stat(stat_name: str, search_team: str, year: int, division: int): Prints a specific statistic for a team in a readable format

display_team_stats(search_team: str, year: int, division: int): Displays all available statistics for a team for a given year and division

Statistical Analysis Functions

average_all_team_stats(team_name: str, division: int, start_year: int, end_year: int): Calculates the average of all available statistics for a team over a range of years

average_team_stat_str(team_name: str, stat_name: str, division: int, start_year: int, end_year: int): Calculates the average of a specific statistic (string type) for a team over a range of years

average_team_stat_float(team_name: str, stat_name: str, division: int, start_year: int, end_year: int): Calculates the average of a specific statistic (float type) for a team over a range of years

get_pythagenpat_expectation(runs_scored: int | float, runs_allowed: int | float): Calculates the Pythagenpat expected win percentage (using the 1.83 exponent) for a team based on runs scored and allowed

plot_team_stat_over_years(stat_name: str, team_name: str, division: int, start_year: int, end_year: int): Aggregates and plots a specified statistic for a team over a range of years

JSON Caching

Stats are stored in local JSON files (/data/team_stats_cache/) to enable fast offline access.

Draft Module

Overview

This module pulls MLB draft data for college baseball players and formats it for analysis.

Functions

parse_mlb_draft(year: int): Parses MLB draft results from Baseball Almanac for a given year (1965–2025)

get_drafted_players_mlb(team_name: str, year: int, division: int): Retrieves a list of players from the specified team drafted to MLB in a given year and division

get_drafted_players_all_years_mlb(team_name: str, division: int): Retrieves all MLB draft picks for a team across all available years in a division

get_drafted_players_college(team_name: str, year: int, division: int): Retrieves a list of players from the specified team drafted to college in a given year and division

get_drafted_players_all_years_college(team_name: str, division: int): Retrieves all college draft picks for a team across all available years in a division

print_draft_picks_mlb(team_name: str, year: int, division: int): Prints MLB draft picks for a team in a given year and division in a readable format

print_draft_picks_college(team_name: str, year: int, division: int): Prints college draft picks for a team in a given year and division in a readable format

Reference

Season Stats Reference

See full list of supported team statistics and their abbreviations in the Stats List.

Team Names

Refer to Team Name Reference for formatting options when passing team names.

Draft Team/School Names

Use the MLB Draft Name Reference for consistent naming of schools when using draft-related functions.

Planned Features

• NCAA individual player stats

• Team game results with win-loss tracking

• Win probability models using in-game data

Contact

Feel free to reach out for collaboration or feedback: Mateo Biggs, [e-mail]