v1.4.0 of nflreadr is now on CRAN! #rstats #nflverse

It includes a number of backend improvements and bugfixes, as well as introducing two new datasets:
- `load_player_stats(stat_type = "defense")` returns week-level defensive player stats
- `load_ftn_charting()` returns manual charting data for 2022-onwards, graciously provided by FTN Data. This should automatically be updated when published by FTN, and the early indication is that it will be within 48 hours after a game has finished.

Have you wanted an #nflverse hex sticker but never managed to run into me at a conference?

Here's an interest check on a print run for stickers: https://forms.gle/TGfcSsnBiHjJWeEP6

#rstats

New post on #opensourcefootball! Tim Bryan uses text analysis to explore the NFL draft.

There's a lot of really interesting/useful stuff here, including a dataset of scouting reports and analysis of linguistic variation from nfl dot com.

#football #nfl #nflverse #opensource

https://www.opensourcefootball.com/posts/2023-07-14-linguistic-analysis-of-nfl-prospect-reports/

For my first post I made Ben Baldwin's (@benbbaldwin@twitter.com) QB efficiency chart for Patrick Mahomes after Week 16. Percentages are the percentiles of QB-games this season.
#nfl #nflverse #rstats #chiefs

#NFL 2022: Special Teams - Kicking Efficiency after week 13
#Adventskalender #AdventCalendar #ggplot #RStats #dataviz #DataVisualization #NFLTwitter #ranNFLsuechtig #rannfl #nflfastR #nflverse

#NFL 2022: Passing vs. Rushing Yards after week 12
#Adventskalender #AdventCalendar #ggplot #RStats #dataviz #DataVisualization #NFLTwitter #ranNFLsuechtig #rannfl #nflfastR #nflverse

I should probably actually post an #introduction on here. My name is Brandon, I live in Minnesota, and I work in the field of Data Analytics/Business Intelligence/Data Visualization for the Minnesota Department of Revenue.
My background is in Accounting (BS; MPAcc). I worked for 5 years in Corporate Taxation but fell in love with Analytics while learning R during my Masters and haven’t looked back!

#r #dataanalytics #businessintelligence #powerbi #rstudio #governmentanalytics #nflverse

New #rstats and #nflverse chart. Average point differential by game second after 11 weeks of the 2022 NFL season.
I like this chart because it is telling each team's in-game story. The Eagles are winning in the second quarter. Winning teams give away points in garbage time. The Cardinals throw away their games in the first 1.5 quarters.

New #rstats and #nflverse chart. Average point differential by game second after 11 weeks of the 2022 NFL season.
I like this chart because it is telling each team's in-game story. The Eagles are winning in the second quarter. Winning teams give away points in garbage time. The Cardinals throw away their games in the first 1.5 quarters.

I was interested in the most likely playoff matchups in the wild card round. 50k simulations of the remainder of the current season resulted in the following matchups.
Dolphins at Ravens would be my favorite matchup.
#nflverse #rstats

Hey! I am Seb. And this is my #introduction.

I am a structural engineer from Germany working in research for living.

But in my free time I love doing :rstats: #rstats and maintaining the #nflverse as well as other R packages outside of the nflverse, for example {ggpath}.
See more of my work at https://linktr.ee/mrcaseb

Hey! I am Seb. And this is my #introduction.

I am a structural engineer from Germany working in research for living.

But in my free time I love doing :rstats: #rstats and maintaining the #nflverse as well as other R packages outside of the nflverse, for example {ggpath}.
See more of my work at https://linktr.ee/mrcaseb