nflscraPy
Datasets and Scraping Functions for NFL Data (by blnkpagelabs)
nflscrapR-data
Data files (.csv) accessed with nflscrapR and summarized at the player-level (by ryurko)
nflscraPy | nflscrapR-data | |
---|---|---|
4 | 5 | |
14 | 366 | |
- | - | |
3.5 | 0.0 | |
6 months ago | about 4 years ago | |
Python | HTML | |
MIT License | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
nflscraPy
Posts with mentions or reviews of nflscraPy.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-05.
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Data for players on field play-by-play?
nflscraPy has an extensive library of other NFL Game and Player stats that you can download manually.
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PFR snap count calulation
Gamebook PDF Link: https://static.www.nfl.com/gamecenter/70e5ba20-9aaa-11ed-99e5-6b206f74937e.pdf Playtime Percentage Data (and more) can be downloaded in CSV from nflscraPy as well. https://github.com/blnkpagelabs/nflscraPy https://github.com/blnkpagelabs/nflscraPy/releases/tag/SnapCounts
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Is there a database of NFL box score over the past ten years?
You can use the release files in nflscraPy to download a variety of CSVs that might help:
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nflscraPy – Data Scraper and Datasets for the NFL
Inspired by the creators nflscrapR and nflfastR I decided to construct nflscraPy, a collection of functions to scrape NFL Data from Pro Football Reference – and hopefully an expanding number of data sources/sets.
nflscrapR-data
Posts with mentions or reviews of nflscrapR-data.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-11.
-
nflscraPy – Data Scraper and Datasets for the NFL
Inspired by the creators nflscrapR and nflfastR I decided to construct nflscraPy, a collection of functions to scrape NFL Data from Pro Football Reference – and hopefully an expanding number of data sources/sets.
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If you are in the process of building your data analytics project/portfolio, here's a useful video where you can find all the datasets you need
https://github.com/ryurko/nflscrapR-data - NFL play by play data - great for winning your fantasy football league
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[AccountableRefs] You aren't imagining it. #NFL refs really are throwing more flags that have a big effect
i was curious so i pulled the 2019 data (largest full-season dataset I could find with EPA/WP numbers included).
- Reliable API?
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[OC] Interactive data visualization of NFL plays
This interactive graph is created in Observable, using D3 and Vega-Lite javascript libraries. NFL play-by-play data is from Ron Yurko's dataset, filtered, cleaned up and re-organized. Football plays are organized into an array of sequences of possessions/drives and consist of ~50 play-level properties and 7 sequence/possession-level properties.
What are some alternatives?
When comparing nflscraPy and nflscrapR-data you can also consider the following projects:
nflfastpy - Python package for loading nflfastR play by play data
data - Data and code behind the articles and graphics at FiveThirtyEight
nflfastR - A Set of Functions to Efficiently Scrape NFL Play by Play Data
opendata.cern.ch - Source code for the CERN Open Data portal
nflfastpy - Python package for loading nflfastR play by play data
nfl_data_py - Python code for working with NFL play by play data.