Matthew van Bommel

Senior Machine Learning Engineer @ZelusAnalytics
Formerly Basketball Analytics @SacramentoKings
Statistics Grad @SFU and @AcadiaU

[Matthew van Bommel @MattvanBommel]

@SethPartnow Our NESSIS paper looked at the impact of attendance on box score statistics in the NCAA. We found the PF and FTA advantage for the home team increased in games with high attendance. See Section 4: https://t.co/8j3EASJ2SY

[Matthew van Bommel @MattvanBommel]

@andylytics @calvinmfloyd The grobblR package includes a great grob_matrix() function, see the vignette for details: https://t.co/9jQn1jApix

[Matthew van Bommel @MattvanBommel]

My friend and co-worker @calvinmfloyd just released the grobblR R package on CRAN. We've been using it internally at the Kings for a while to create our PDF reports and I'm excited that now everyone gets the chance to try it out!

[Calvin Floyd @calvinmfloyd]

Excited to announce grobblR 0.1.0 is on CRAN! 🎉🎊

The #rstats package which allows users the ability to intuitively create flexible, reproducible PDF reports comprised of aesthetically pleasing tables, images, plots and/or text.

View the repo here: https://t.co/uHXzOPEVNw

[Matthew van Bommel @MattvanBommel]

In advance of our #NESSIS poster presentation on Home Court Advantages for NCAA Statistics, @LukeBornn, @pachowwhite, @chuancong, and I have posted the full paper on arXiv. We examine home/away/neutral differences, scorekeeper and referee biases and more!

https://t.co/9gtbiHtBg6

[Matthew van Bommel @MattvanBommel]

My guy right here! Big congrats to Cole!

[Jon Krawczynski @JonKrawczynski]

Timberwolves coaching staff has been finalized, and there’s an interesting element to it. Cole Fisher, who has been in the b-ball ops/analytics department has been added to the staff and will sit behind the bench ...

[Matthew van Bommel @MattvanBommel]

Excited to launch a web app I've been working on: https://t.co/zrL4lP0VyW

The app provides an interactive visualization of the open data set for Sacramento's police dispatch data.

Also published a post about the project on my website: https://t.co/66jsZ7nDAC

[Matthew van Bommel @MattvanBommel]

Super cool new tool to examine the shooting trends of NBA players!

[Peter Beshai @pbesh]

Just released Shotline: #nba shooting #dataviz. Explore players' shooting development over time in 100 shot moving windows.

https://t.co/wUyDiacAqT

[Matthew van Bommel @MattvanBommel]

@alexinman @StatsbyLopez Assists certainly tend to be the most obvious example. We also compare the impact on other statistics and examine how factors such as gender, division, and team strength impact the magnitude of the biases.

[Matthew van Bommel @MattvanBommel]

@StatsbyLopez Appreciate it Michael, looking forward to presenting it! We also have results showing the impact of attendance on referee bias that would support your D3 theory.

[Matthew van Bommel @MattvanBommel]

I'm a little late to the game, but if you haven't yet seen this great video about @IveShery13 and her role with the 76ers analytics team, I highly recommend giving it a watch!
https://t.co/FdInDh3lcX

[Matthew van Bommel @MattvanBommel]

Happy to announce the launch of my website redesign: https://t.co/KdiM2zzNSV

I also wrote a post about the design process and the lessons I learned: https://t.co/ZPubiWyCjl

This is my first deep dive into designing a site, so any feedback is welcomed!

[Positive Residual @presidual]

This is a good reminder that blocks, like assists, are subjective and susceptible to scorekeeper bias. Research by Matthew van Bommel and @LukeBornn demonstrates the extent of the issue for the NBA, and I imagine it applies to college basketball as well. https://t.co/rzgaFWiL9E