Nuggets vs Hawks:
"Take advantage of another tired team on a B2B"
Pregame thoughts:
I'm suspending my time dedicated to this section until such time as SB Nation decides to heed my numerous inquiries WRT the severe data-entry lag and publishing button bugs. Apologies to the handful of you who enjoyed it :/
The Good Guys
Their Adversaries
*Red boxes above indicate one notable number (or numbers) to catch my eye for each team
(Open images in a new tab for a closer look. Charts courtesy of ESPN.COM.)
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Data:
TPM™ Game 53 ATL
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Total TPM™
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Avg. TPM™ Per Game
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Final Thoughts:
- Denver wins by a final score of 128-108, and in so doing improves to 37-16 on the season.
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For context pertaining to the statistical aspects of this piece, please open this link: TPM™
A brief statement with regard to this piece on whole: As a means to avoid repeating myself I will include this descriptive diatribe in all TPM posts going forward.
Sure I like statistics; ever since I was a child collecting sports cards and later a pre-teen who ran pre-internet fantasy sports leagues on ink/paper/spreadsheet for the four major US pro-leagues, I've been fascinated by box-score stats, but I'm by no means an expert.
I created TPM, which has been around longer than RPM incidentally and unlike them, I fully disclose my non-proprietary system and I contextualize the action rather than being a boring, mysterious, predictive metric, because it does add immediate and accessible context to what we see and what the numbers indicate, which I like.
While the data is meticulously tracked and demonstrably sound, I'm a creative type, not an engineer. Algorithm is the bane of my existence in fact. I'd far rather approach life with the intrigue of expected surprise than attempt to get to the bottom of why things are the way they are. There are many engineers in my family, so I totally understand that joy can be derived from finding solutions to problems, I just can't relate. It's not fun for me. THIS is for the most part, not fun for me.
Now I'm a 46-year-old man who was born during the season in which the team I love joined the NBA. I happen to have a lifetime of experience with this sport in several capacities, including playing (highly underrated within the writing community) so I understand basketball theory in a way most (by no means all) pundits do not.
I was, in this case, interested in a data-driven approach.
If you are averse to colorful language, this is not the place for you. I have no way of knowing how many people even read this, so I'll not be affected even remotely if you choose not to indulge. For those of you who do, I greatly appreciate your support.
I can be found at @prmorphine on Twitter.
Also, my DIY music production and videos can be heard/seen here if you don't value your ear-balls & eye-drums.
And as always, act like a good person privately and especially in public; even if you are not, and most importantly, fuck the Lakers.
#DoNotBeABranchCovidian
#DoNotBeAnAmmosexual
#FuckTheLakersOneMoreTimeJustForGoodMeasure
#TLDRHashtagsAndSiglines
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