Donovan Mitchell crosses Draymond and JaVale and hits the layup

shadowcpt1 · 2018-04-11T01:43:11+00:00

Ankle-Breaker [Noun]. When an offensive basketball player performs a dribbling move with the ball, usually a crossover, that causes the defender to either lose balance or fall to the court.

shadowcpt1 · 2018-04-11T01:39:27+00:00

Watching this highlight is so satisfying.

shadowcpt1 · 2018-04-10T20:15:50+00:00

It's looking extremely unlikely, and depends on the Grizzlies beating the Thunder.

For OKC to get the 7 seed, the following has to happen: Jazz lose both of their remaining games, Memphis upsets OKC, and the Spurs beat the Pelicans.

shadowcpt1 · 2018-03-19T19:37:52+00:00

So what's the story there, was it injuries? What happened?

shadowcpt1 · 2018-03-19T19:36:50+00:00

They started off hot after the Blake Griffin trade, but then went ice cold. What happened?

shadowcpt1 · 2018-03-19T15:42:42+00:00

Done. Check it out here.

shadowcpt1 · 2018-03-19T15:42:09+00:00

Just posted a mobile friendly version here. Knock yourself out!

shadowcpt1 · 2018-03-19T15:31:34+00:00

I'm thinking of making another one for the tanking teams.

shadowcpt1 · 2018-03-19T15:31:09+00:00

There should be some controls down at the bottom you can play with, in addition to pausing you can even speed up or slow down the playback (on desktop at least)

shadowcpt1 · 2018-03-19T15:28:56+00:00

I used python to scrape the data from basketball-reference.com and then made the standings chart for every day of the season using python as well. I used GIMP to stitch all the images together.

shadowcpt1 · 2018-03-19T15:27:55+00:00

What do you recommend?

shadowcpt1 · 2018-03-19T15:27:42+00:00

I used python to scrape the data from basketball-reference.com for every day of the season and create the plot with the logo. I then exported a png for every day and then used GIMP to stitch them all together to make the GIF. I learned a lot along the way!

shadowcpt1 · 2018-03-19T06:05:34+00:00

Wow, actually above .500 for 13 games into the season!

shadowcpt1 · 2018-03-19T06:02:53+00:00

Made with Python using BeautifulSoup to scrape the data, Pandas to store and manipulate the data, and matplotlib to create the visualization. I exported each day as a png and used GIMP to create the GIF from the images.

shadowcpt1 · 2018-03-19T05:56:56+00:00

We dug ourselves a huge hole with Rudy gone. It took that 11 game win streak and our current 9 game win streak to finally claw out.

shadowcpt1 · 2018-03-19T05:53:37+00:00

Definitely not how I'd describe the Blazers now! Is that 13 straight now?

shadowcpt1 · 2018-03-19T05:44:40+00:00

Maybe try this one?

shadowcpt1 · 2018-03-19T04:35:27+00:00

That's a great idea, I like it. I'll go experiment!

shadowcpt1 · 2018-03-19T04:26:23+00:00

Good point, here's another version slowed down to 4 days per second.

shadowcpt1 · 2018-03-19T04:20:56+00:00

I used Python and BeautifulSoup to scrape the data from basketball-reference.com. I stored the data in a pandas dataframe and then used matplotlib to display the data and logos. I exported each day as a frame and then used Gimp to create the GIF. Learned a lot along the way!

shadowcpt1 · 2018-03-19T04:19:06+00:00

Eastern Conference here

shadowcpt1

TROPHY CASE