hoopR
sportsipy
| hoopR | sportsipy | |
|---|---|---|
| 6 | 3 | |
| 78 | 472 | |
| - | - | |
| 7.6 | 0.0 | |
| 3 months ago | 5 months ago | |
| R | Python | |
| GNU General Public License v3.0 or later | MIT License |
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hoopR
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Schedule Sheet Mon 2/27
Thankfully, I've made use of the hoopR package which lets me get data that is up to date, primarily by pulling info from ESPN's APIs. While that does most of the work, there's tweaking that I need to do (most particularly for streamed game broadcasts that aren't ESPN3/ESPN+) but it usually goes fairly swimmingly.
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Help!! Dataset required for Supervised Linear Regression | Learning purposes
hoopR (college and pro basketball)
- Resources for Sports Analytics
- NBA individual player stats for every game.
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Where Can I get Excel File for Regular Season Schedule?
https://github.com/saiemgilani/hoopR Digging around through here will probably help you find a csv which is easy to convert to excel
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An empirical analysis of the relationship between every NBA players' astrological sign and on-court performance in the 2020-2021 season.
Next, we’ll look at a few measures of performance on the court to see whether certain signs are better or worse suited to particular aspects of the game. For each of these, I took player box score statistics (sourced from https://github.com/saiemgilani/hoopR), grouped them by the player’s astrological sign, and calculated their average numbers through the 2020-21 season. First, we’ll look at scoring -- the chart below shows each sign’s average points per game.
sportsipy
- I’ve been struggling with organizing projects and utilizing classes so I’ve been looking for public projects I can study
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Some data exports to xlsx, other data does not
Unfortunately I don't think you're doing anything wrong, I think the sportsipy package is just a wee bit broken. There's a bunch of related (ongoing) issues on the repo about Boxscore failing to pull data from sports-reference.
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Is there any baseball website that won't get pissed at me scraping it often?
I have used this for my own projects: https://github.com/roclark/sportsipy
What are some alternatives?
nbastatR - NBA Stats API Wrapper and more for R
lazystream - Easily get LazyMan stream links, output directly or to m3u / xmltv formats. Streams can also be recorded or casted.
ncaahoopR - An R package for working with NCAA Basketball Play-by-Play Data
python-cheatsheet - Comprehensive Python Cheatsheet
nba-sql - :basketball: An application to build an NBA database backed by MySQL, Postgres, or SQLite
Basketball_Analytics - Repository which contains various scripts and work with various basketball statistics
nba_api - An API Client package to access the APIs for NBA.com
krita-plugin-reference - A temporary Reference Docker for Krita 4.0.0
pydfs-lineup-optimizer - Daily Fantasy Sports lineup optimzer for all popular daily fantasy sports sites
mlbplotR - R package to easily plot MLB logos
kodi-gamepass - NFL Game Pass add-on for Kodi