Ross Drucker

Excited to release my first #rstats package into the wild! Introducing sportyR: a package to plot sports playing surfaces for #sportsanalytics visuals. New features already in the works!

After eight months of development, I'm thrilled to launch cbbdata. This new R package offers access to college basketball data like never before. Built with Flask & Python for speed and reliability, it's fast, flexible, and loaded with features. ⬇️⬇️ cbbdata.aweatherman.com/articles/relea…

@IlliniFootball @UniWatch Illini going all orange this weekend

🔸 A new look for Saturday 🔸 #Illini // #HTTO // #famILLy

@IlliniFootball @UniWatch Illini football with a helmet sticker in honor of Dick Butkus. Also outlined the "50" at midfield in orange

Always with us. #Illini // #HTTO // #famILLy

Sending out a reminder that the Chicago Area Sports Analytics Group is having a social event tomorrow night at Metropolitan Brewing. Come on out to and please share! h/t to @SamHoppen and @rossdrucker9!

@rtelmore @benj_robinson @statsinthewild0 Not as far as I'm aware, but would welcome/appreciate any feedback if it's something you look into doing. Glad you're enjoying the package!

@benj_robinson @statsinthewild0 @rossdrucker9 Has anyone tried using sportyR (e.g. geom_soccer) with ggplotly?

Sending another reminder that the Chicago Area Sports Analytics Social is this Thursday, at Metropolitan Brewing at 7pm! Come hang out! @SamHoppen @rossdrucker9

Excited to share that the sports analytics social tour is coming to Chicago! @papamoon92, @rossdrucker9, and I will be hosting people at Metropolitan Brewery on April 20th at 7pm. We'll have guests from the Bears, Cubs, and more! Come join us!

@chickenandstats Okay yeah can definitely help you with this as soon as I get back to my computer

@chickenandstats Just a quick glance and haven't played around with it on my end yet, but it looks like you'd need to x_trans to be -25 and y_trans to be -50? Then would need to rotate the court plot +/- 90°... if you can point me to the data set you're plotting I can confirm. DM me too if easier

@chickenandstats Are the coordinates in your plot transformed at all? Any rotations or translations applied?

Statement night at the UC. RT for a chance to win a signed Ayo Dosunmu Statement Edition Jersey! @zennioptical | #BullsNation

@NUMensBball @UniWatch new NU alternates

By the Players. For Chicago. Debuting this Saturday 😼

@IcaroBSC The surfaces are intended to be fully customizable in terms of dimension and color. Check out the cani_* functions as well; they're meant to guide you through editable parameters (leagues, dimensions, and colors) of each surface

@rossdrucker9 Ooh I see! There were so many options that I wasn’t able to find it. I thought I could only change colors. Congratulations for the package!

#30DayMapChallenge | Lines I made an interactive plot showing the lineup of Brazil’s male football team in every @FIFAWorldCup by region and club to which the player belonged. #Rstats script and link to the page are below. 💻: bit.ly/3A9eZj7 🇧🇷:icarobernardes.github.io/brazil_lineup/

@IcaroBSC Awesome! If it's easier in the future, you can also change the line thickness and color by using sportyR::geom_soccer(pitch_updates = list("line_thickness" = {desired thickness of the lines in the units of the pitch}), color_updates = list("{feature_name}" = "{color_code}"))

Also, I finally had the opportunity to use @rossdrucker9's {sportyR}! I plotted the football field using sportyR::geom_soccer and hacked the ggplot2 it created to make the lines thicker.

@IlliniFootball @UniWatch

This Saturday, Illinois Football will honor those who have served with special decals on our helmets. #Illini // #HTTO // #famILLy

@EyeOnCBBPodcast Jim Larrañaga?

As heard on today's episode: Can you figure out today's Trivia Time?

With all these shot locations, you'll definitely want to check out @rossdrucker9's {@sportyR_pkg} and {@sportypy} packages to make some shot charts. For the basketball courts in particular, the possibilities in customization are endless!

@Champaign_Room @TCRBrad

what the hell is this

@OliviaRubin26 cc @danmorse_

*Question for anyone familiar with hockeyR! When you look up goals/shots and the 'strength_state' for each event, why are there strengths of '0v0', or '0v3'...? more concerned about the zero vs zero as that has a good amount of data points. #Rcoding #hockeyR #sportsstats #sports

Excited to release my first Python package! Introducing @sportypy: a package to plot sports playing surfaces for #sportsanalytics visuals, and a @sportyR_pkg equivalent in Python. New features already in the works!