nflfastR
parsel
| nflfastR | parsel | |
|---|---|---|
| 7 | 1 | |
| 393 | 15 | |
| 0.8% | - | |
| 8.1 | 4.4 | |
| 11 days ago | 5 months ago | |
| R | R | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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nflfastR
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Data for players on field play-by-play?
nflfastr has an extensive library of PlayByPlay, Roster, and Gamelog data that you can access programmatically via R.
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[OC] Cumulative Win Probability Added: AFC Bubble
For more on all this, here's the source of my data: {nflfastR}
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[OC] Cumulative Win Probability Added - AFC East, 2022
Source: {nflfastR} play-by-play and win probability models.
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Is there anywhere I can find the standard deviation of points and yards for each team in each game?
It's been superseded by nflfastR at least for the play by play stuff. You can also download the data directly, rather than using the scraping functions. https://github.com/nflverse/nfldata
- Best Data Source for NFL Play-by-Play
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Metric for how many different receivers quarterbacks utilize?
nflfastR is a database with play by play data going back to 1999, it has everything you'd need to create such a metric, but you gotta write the query yourself :)
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[OC] Superbowl Probability of Winning: Play-by-play
Data Source: nflfastr library: https://github.com/mrcaseb/nflfastR
parsel
What are some alternatives?
nfldata - NFL Data (by Lee Sharpe)
forecast - Forecasting Functions for Time Series and Linear Models
nflverse-data - Automated nflverse data repository
mindr - an R package which converts markdown files (.md, .Rmd) into mindmaps (brainstorms)
shiny.i18n - Shiny applications internationalization made easy
future - :rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone
rtypeform - An R interface to the 'typeform' API.
worldfootballR - A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat and fotmob
nfl_data_py - Python code for working with NFL play by play data.
RSelenium - An R client for Selenium Remote WebDriver
littler - A scripting and command-line front-end for GNU R
r-web-scraping-cheat-sheet - Guide, reference and cheatsheet on web scraping using rvest, httr and Rselenium.