boxball
sports.py
| boxball | sports.py | |
|---|---|---|
| 7 | 1 | |
| 110 | 52 | |
| - | - | |
| 5.5 | 0.0 | |
| 5 months ago | over 1 year ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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boxball
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Importing Retrosheet to Tableau or Power BI
I haven't worked with BI tools, but I'll make the same recommendation for Retrosheet data that I always do: check out the Boxball distributions, specifically the CSV files (or the parquet files if you prefer). You can load those right in, rather than futzing with Retrosheet's event files and processing them manually, etc., just to get to the same spot.
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Delta Aging Curve Python
The original data source is the Baseball Databank (aka "The Lahman Database"). I use the Boxball distributions, which include both retrosheet and Baseball Databank data.
- What's the current standard for getting mlb data into a database? I used to use Baseball On a Stick (which accessed the old gameday data) but that doesn't work now. I found "mlbdata" which accesses the mlb API but I can't figure out how to make it put stuff into a database. Is there a good option?
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How do I compile a list of a team's games where event x did not happen?
You know, I thought about that after posting, that the dailies might not be available directly from retrosheet. I use the Boxball distributions, which take the retrosheet data and process it into database images. These distributions include a "daily" table with the daily logs. So apparently Boxball is generating that table.
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Aggregate Game Logs
I used to think the same thing, and then I found the Boxball pre-built images. You still have to be a bit handy to get them working, but it's way easier than starting from scratch with raw retrosheet data. I initially used the postgres image and worked in SQL, and then switched to python/pandas and the parquet files.
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Finding a player's stats through N games
I've always been good with data, math, Excel, etc., but decided to take it to another level during the pandemic. The most difficult thing about Retrosheet data is getting into a usable format. Luckily, the boxball project has created a number of ready-to-download images with all of the data, for different database technologies.
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RE24 Data for wOBA Calculations
For Retrosheet data, I've been using pre-built images from Boxball, rather than going through the whole process of downloading and converting the files from retrosheet. The Boxball images are awesome. I mostly use the Parquet files for Pandas, but they have other formats (e.g., postgres Docker images, CSV, etc) there.
sports.py
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How to resolve this error?
That package seems to be broken: https://github.com/evansloan/sports.py/issues/9
What are some alternatives?
pybaseball - Pull current and historical baseball statistics using Python (Statcast, Baseball Reference, FanGraphs)
pydfs-lineup-optimizer - Daily Fantasy Sports lineup optimzer for all popular daily fantasy sports sites
ElectroCRUD - Database CRUD Application Built on Electron | MySQL, Postgres, SQLite
chadwick - Chadwick tools for manipulating baseball data
zengm - Basketball GM (and other ZenGM games) are single-player sports management simulation games, made entirely in client-side JavaScript.
baseball_sql - SQL scripts for working with the baseball data from retrosheet and baseball-databank, as provided by boxball
soccerapi - soccerapi, an unambitious soccer odds scraper ⚽️
baseballr - A package written for R focused on baseball analysis. Currently in development.
mlbgame - A Python API to retrieve and read MLB GameDay data
condenser - Condenser is a database subsetting tool
football-game-simulator - Relive the world's greatest soccer posters or those from your favorite teams. This is a football match simulator where 11 players on each team play against each other. The simulator is currently in beta version!