Search found 9 matches
- Tue Sep 20, 2016 4:37 am
- Forum: APBRmetrics
- Topic: A New Python Library To Get PlayByPlay Data, Useful for APM
- Replies: 9
- Views: 15891
Re: A New Python Library To Get PlayByPlay Data, Useful for
There are 4 major components of the RAPM process, as I see it: 1. Scrape and clean the raw PbP data. This is what this library does--a very valuable part of the process. 2. Parse out what lineups are on the floor at any given time. 3. Construct the RAPM sparse matrix. 4. Actually run the RAPM analy...
- Fri Aug 05, 2016 1:38 am
- Forum: APBRmetrics
- Topic: A New Python Library To Get PlayByPlay Data, Useful for APM
- Replies: 9
- Views: 15891
Re: A New Python Library To Get PlayByPlay Data, Useful for
There are 4 major components of the RAPM process, as I see it: 1. Scrape and clean the raw PbP data. This is what this library does--a very valuable part of the process. 2. Parse out what lineups are on the floor at any given time. 3. Construct the RAPM sparse matrix. 4. Actually run the RAPM analy...
- Thu Aug 04, 2016 1:01 pm
- Forum: APBRmetrics
- Topic: A New Python Library To Get PlayByPlay Data, Useful for APM
- Replies: 9
- Views: 15891
Re: A New Python Library To Get PlayByPlay Data, Useful for
This is a huge contribution to the community. Data scraping is the least fun part of doing RAPM calculations, and yet, obviously integral, so this is a big help. I actually tried to release it last year, but then it was a working copy of mine where the code is obscure to read and be used by others,...
- Thu Aug 04, 2016 1:53 am
- Forum: APBRmetrics
- Topic: A New Python Library To Get PlayByPlay Data, Useful for APM
- Replies: 9
- Views: 15891
Re: A New Python Library To Get PlayByPlay Data, Useful for
This is a huge contribution to the community. Data scraping is the least fun part of doing RAPM calculations, and yet, obviously integral, so this is a big help. I actually tried to release it last year, but then it was a working copy of mine where the code is obscure to read and be used by others,...
- Tue Aug 02, 2016 3:21 pm
- Forum: APBRmetrics
- Topic: A New Python Library To Get PlayByPlay Data, Useful for APM
- Replies: 9
- Views: 15891
A New Python Library To Get PlayByPlay Data, Useful for APM
Hey guys, I previously did some project on basketball analytics, including doing some analytics with RAPM and APM. In the project I have to crawl the Playbyplay from statsnba.com and compute my own RAPM and APM. If I understand correctly, many of the existing sources of RAPM metrics (or other metric...
- Fri Mar 11, 2016 2:43 am
- Forum: APBRmetrics
- Topic: Play-By-Play Substitutions
- Replies: 9
- Views: 17993
Re: Play-By-Play Substitutions
I am working on a project for scraping the player events, the repo is https://github.com/ethanluoyc/statsnba-playbyplay, the functions are sort of already there if you look into the source code. I also addressed the problem of checking out who are the players on the floor by querying the api. It is ...
- Sun Nov 08, 2015 6:33 am
- Forum: APBRmetrics
- Topic: Request for a paper from Sloan Sports Conference 2012
- Replies: 6
- Views: 10786
Re: Request for a paper from Sloan Sports Conference 2012
I primarily am interested in how Joe did crossvalidation. In my paper I also did something similar. Also I think that ridge regerssion makes better sense because the data points do have different qualities. (I will not leave the explanation here but if anyone is interested I can write more on this)
- Sun Nov 08, 2015 6:21 am
- Forum: APBRmetrics
- Topic: Parsing play-by-play data
- Replies: 1
- Views: 4176
Parsing play-by-play data
Hi I have been working on basketball analytics for quite a while. Some of the data I need needs to be parsed directly from the playbyplay. A few people have written code to extract the play by play from statsnba.com or espn, but I noticed that they do not ususally have tools to parse the play by pla...
- Sun Aug 30, 2015 1:33 pm
- Forum: APBRmetrics
- Topic: Request for a paper from Sloan Sports Conference 2012
- Replies: 6
- Views: 10786
Request for a paper from Sloan Sports Conference 2012
Hi I was new to this community and is working on something related to player metrics. I happen to notice some discussions about the RAPM but could not find Sill's paper 'Improved NBA Adjusted +/- Using Regularization and Out-of-Sample Testing' Can anyone kindly direct me where I can find this? I can...