Basketball_Analytics
hoopR
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| Basketball_Analytics | hoopR | |
|---|---|---|
| 1 | 6 | |
| 145 | 77 | |
| - | - | |
| 4.1 | 7.6 | |
| 3 months ago | 3 months ago | |
| Jupyter Notebook | R | |
| - | GNU General Public License v3.0 or later |
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Basketball_Analytics
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Selfpromotion Thread Refresh Youre Free To
Also, I post most, if not all code on my github, so if there are any coders feel free to take a look! :)
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.
What are some alternatives?
sportsipy - A free sports API written for python
nbastatR - NBA Stats API Wrapper and more for R
NBA-attendance-prediction - Attendance prediction tool for NBA games using machine learning. Full pipeline implemented in Python from data ingestion to prediction. Attained mean absolute error of around 800 people (about 5% capacity) on test set.
nba_api - An API Client package to access the APIs for NBA.com
ncaahoopR - An R package for working with NCAA Basketball Play-by-Play Data
kepler.gl - Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
nba-sql - :basketball: An application to build an NBA database backed by MySQL, Postgres, or SQLite
openbiomechanics - The open source initiative for anonymized, elite-level athletic motion capture data. Run by Driveline Baseball.
mlbplotR - R package to easily plot MLB logos
fflr - Get ESPN fantasy football data in R