FanPost

TPM™ 2022-'23 Game #57 vs Hornets

Nuggets vs Hornets:

"Will we ever be healthy again?"

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 57 CHA

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Total TPM™

Nikola Jokić: 49 games +1885
Jamal Murray: 44 games +898
Aaron Gordon: 47 games +770
Michael Porter Jr: 40 games +406
Kentavious Caldwell-Pope: 53 games +518
Bruce Brown: 54 games +508
Thomas Bryant: 1 games +0
Christian Braun: 50 games +155
Vlatko Cancar: 42 games +142
Zeke Nnaji: 44 games +60
Ish Smith: 28 games +133
Jeff Green: 36 games +46
DeAndre Jordan: 33 games +45
Peyton Watson: 10 games +5
Jack White: 13 games -4
Collin Gillespie: 0 games +0

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Avg. TPM™ Per Game

Nikola Jokić: +39.22
Jamal Murray: +20.41
Aaron Gordon: +16.38
Bruce Brown: +9.41
Thomas Bryant: +0.00
Zeke Nnaji: +1.36
Ish Smith: +4.75
Jeff Green: +1.28
Jack White: -0.31

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Final Thoughts:

  • Denver wins by a final score of 119-105, and in so doing improves to 39-18 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
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