Ross Drucker

Chicago & Illini sports | 2x @UofIllinois grad | @sportyR_pkg | @sportypy | Currently: Swish Analytics | Sometimes I tweet stuff

[Ross Drucker @rossdrucker9]

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!

[sportyR @sportyR_pkg]

sportyR v1.0.1 is now live and available on both GitHub and CRAN!

View on GitHub: https://t.co/NaXi944AHq

View on CRAN: https://t.co/RXJ37GGGKi

[Andrew Weatherman @andreweatherman]

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.

⬇️⬇️

https://t.co/KtVNjVhjsl

[Ross Drucker @rossdrucker9]

@IlliniFootball @UniWatch Illini going all orange this weekend

[Ross Drucker @rossdrucker9]

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

[Sean Sullivan @papamoon92]

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!

[Ross Drucker @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!

[Sean Sullivan @papamoon92]

Sending another reminder that the Chicago Area Sports Analytics Social is this Thursday, at Metropolitan Brewing at 7pm!

Come hang out!

@SamHoppen @rossdrucker9

[Sam Hoppen @SamHoppen]

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!

[Ross Drucker @rossdrucker9]

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

[Ross Drucker @rossdrucker9]

@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

[Ross Drucker @rossdrucker9]

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

[Chicago Bulls @chicagobulls]

Statement night at the UC.

RT for a chance to win a signed Ayo Dosunmu Statement Edition Jersey!

@zennioptical | #BullsNation

[Ross Drucker @rossdrucker9]

@NUMensBball @UniWatch new NU alternates

[Ross Drucker @rossdrucker9]

@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

[Ross Drucker @rossdrucker9]

@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}"))

[Ross Drucker @rossdrucker9]

@IlliniFootball @UniWatch

[Ross Drucker @rossdrucker9]

@EyeOnCBBPodcast Jim Larrañaga?

[SportsDataverse @sportsdataverse]

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!

[Ross Drucker @rossdrucker9]

@Champaign_Room @TCRBrad

[Ross Drucker @rossdrucker9]

@OliviaRubin26 cc @danmorse_

[Ross Drucker @rossdrucker9]

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!

[sportypy @sportypy]

sportypy v1.0.0 is now live and available on both GitHub and PyPI!

View on GitHub: https://t.co/QIuoDXDJak

View on PyPI: https://t.co/VSqOPGbW80