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APBRmetrics
The statistical revolution will not be televised.
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erivera7
Joined: 19 Jan 2009
Posts: 185
Location: Chicago, IL
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 Posted: Fri Mar 05, 2010 4:58 pm Post subject: Advanced Statistics Wiki/Dictionary |
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Not sure how many people here follow the work I do at Orlando Pinstriped Post but my colleague and I use advanced statistics A LOT as we cover the Orlando Magic on a day-to-day basis. Personally, I use as many metrics as I can to formulate my analysis. But sometimes, our readers aren't as knowledgeable in the numbers but they want to know more about them. Which is why I wanted to try to compile a dictionary or a wiki for our community so that they know what stats we use, what they attempt to quantify, their limitations, etc. Basketball-Reference's glossary helps but I wanted to see if anyone here could point me to other valuable resources that can provide me explanations of different metrics AND their limitations (like adjusted plus/minus, net plus/minus from 82games, PER, WARP, etc) so I that I can share it with our readers.
Thanks for the help!
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I cover the Orlando Magic - Magic Basketball |
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Crow
Joined: 20 Jan 2009
Posts: 821
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| Posted: Fri Mar 05, 2010 5:42 pm Post subject: |
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In addition to the resource you mention, you could of course consult the summary Kevin Pelton has written before, and for more detailed discussion see other threads here and you might also want to look thru the "Get Insight " section here
http://www.nbastuffer.com/component/option,com_joomap/Itemid,69/
Last edited by Crow on Fri Mar 05, 2010 9:24 pm; edited 1 time in total |
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erivera7
Joined: 19 Jan 2009
Posts: 185
Location: Chicago, IL
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| Posted: Fri Mar 05, 2010 8:15 pm Post subject: |
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That's a start, thank you.
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@erivera7
I cover the Orlando Magic - Magic Basketball |
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Neil Paine
Joined: 13 Oct 2005
Posts: 774
Location: Atlanta, GA
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erivera7
Joined: 19 Jan 2009
Posts: 185
Location: Chicago, IL
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| Posted: Sat Mar 06, 2010 2:01 pm Post subject: |
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Yeah, that's the glossary I was referring to in my original post. It's great, don't get me wrong, but I wish it included more. That's why I wanted to try to gather everything I could in one post so that our community of readers could refer to it at any time.
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I cover the Orlando Magic - Magic Basketball |
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Jose A. Martínez
Joined: 19 Jul 2009
Posts: 72
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| Posted: Sun Mar 07, 2010 4:47 am Post subject: |
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Hi all!
I have done this work!!
During several months I reviewed several references (websites, books, papers, personal communications, etc.), in order to write a paper to Spanish audience. This paper is currently under review, but I think decision will be communicated soon. Anyway, I built a database containing more than 200 player evaluation metrics. Obviously, works such as Neil Paine or Serhat Ugur inspired me (thanks to these guys and other APBRmembers and colleagues that helped me)
This table is composed of several entries:
- Name of the metric
- Abbreviation
- Creator of the metric (when applicable)
- If the metric measures offense, defense or a combination of offensive and defensive performance
- Simple or complex calculation (metrics that consider league stats, play by play data, etc. are considered complex)
- Brief description and formula (formula is only showed when the metric is simple)
- More information (websites or academic references where the metric is explained or applied)
I am sure this list is incomplete, altough I only have considered metrics that have been used during the last 10 years, and I have not considered metrics such line-up analysis or team metrics.
I will be happy to share with APBRmembers this research, but I will done it once the paper is accepted (I hope this will be very soon), and I will link the paper in my website. However, recall that the paper is written in Spanish!
Unfortunately I have no time to translate the table to English, and I have no time to think about which is the best way to share these contents. But I believe APBR community could collaborate to build a shared resource for all, such as a wiki resource, or similar. I am sure you know more about this theme than me, and how will be the best form to co-build a data base when these metrics be explained and actualized. Translating my table to English will be very easy for you, because metrics are named in English and all them are linked to a reference.
Any thoughts?
Best regards
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Jose A. Martínez
http://www.upct.es/~beside/jose
http://basket-research.blogspot.com |
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Serhat Ugur (hoopseng)
Joined: 13 Oct 2006
Posts: 209
Location: Basketball Research
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| Posted: Mon Mar 08, 2010 9:16 am Post subject: |
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Jose, that's fantastic news.
Good luck on your paper and the website. Applied case studies in these player metrics should really make sense. A suggestion: Could you try to put excel samples in excel if available?
I (from my website) would be your first referrer.
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Last edited by Serhat Ugur (hoopseng) on Mon Mar 08, 2010 9:22 am; edited 1 time in total |
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Serhat Ugur (hoopseng)
Joined: 13 Oct 2006
Posts: 209
Location: Basketball Research
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| Posted: Mon Mar 08, 2010 9:21 am Post subject: |
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| erivera7 wrote: |
Yeah, that's the glossary I was referring to in my original post. It's great, don't get me wrong, but I wish it included more. That's why I wanted to try to gather everything I could in one post so that our community of readers could refer to it at any time. |
Eddy,
This offers limited information, but good enough for giving examples and leaders:
http://www.emptythebench.com/2009/12/11/advanced-basketball-statistics-101/
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erivera7
Joined: 19 Jan 2009
Posts: 185
Location: Chicago, IL
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| Posted: Mon Mar 08, 2010 12:41 pm Post subject: |
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Awesome, thanks for the link.
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I cover the Orlando Magic - Magic Basketball |
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Mike G
Joined: 14 Jan 2005
Posts: 3612
Location: Hendersonville, NC
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| Posted: Mon Mar 08, 2010 2:17 pm Post subject: |
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| Quote: | | Advanced statistics is one area that baseball is lightyears ahead of basketball. |
Yet we talk about 'advanced statistics' rather than calling them 'primitive' or whatever.
Rather than individually write up these synopses of 'advancement', should we be discussing them?
Why, for example, are some stats multiplied by 100?
If Orlando has 13 points in their first 10 possessions, is it more informative to say they're scoring 130 per 100?
How about 1.3 points per? Now we know 1 point is not as good.
We don't usually say we're getting 2500 miles per 100 gallons, or that there are 25,000 calories per 100 servings, or we're making $2500 per 100 hours.
Why add 2 zeroes at every possible occasion, just so we can say "100" after every "per"?
Does anyone really feel more comfortable with this extra mental gyration?
Or does it just distance the average fan from an understanding of the numbers?
For (I think) over a hundred years, the average baseball fan knows what a .305 batting average is. He doesn't gain information by knowing a guy gets 30.5 hits per 100 at bats.
Isn't it equally obvious that a .720 FT shooter has a 72% chance of hitting a FT? Yes, he hits 72 per 100; but how long does it take to accumulate 100?
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