FanPost

TPM™ 2020-'21 Game #33 vs OKC

129693127_186375273134275_1436968335859100715_n.0.jpgThe Good Guys

The-2020-21-Projected-Starting-Lineup-For-The-Oklahoma-City-Thunder.0.jpg

Their adversaries

Nuggets vs Thunder III: "STOP THE SUCK or GET THUNDERSTRUCK"

If you are viewing the pre-game version of the TPM piece, and you enjoy gonzo-basketball reporting, I invite you to please join me after the game where the same link will lead you to the post-game version. In it, all the disjointed/unsightly blanks below will be filled, complete with data/analysis and more snark than "Snarknado VI: Snakenado", which I'm told is about a pessimistic, albino, black mamba who emerges from micro-bursts to torment the people of Los Angeles with shady tweets.

Also, my DIY music production and videos can be heard/seen here if you don't value your ear-balls & eye-drums.

Got it? Or as the immortal Syd Barrett might say, "Have you got it yet?"

I've also recently made a compilation of all of Pink Floyd's essential studio works, including solo projects of all five members, all in chronological order from '65-2017 which you can check out here.

And now what none of you come here for; how about some basketball nerdery?!?!

(After these messages... Er Nicknames)

Denver Nuggets Roster


Name POS Age HT WT College Salary
SF
29
6' 5"
181 lbs
Memphis
$13,723,214
C
21
7' 2"
209 lbs
Oregon
$2,058,240
PG
29
5' 11"
165 lbs
--
$3,200,000
SF
23
6' 8"
236 lbs
--
$1,517,981
PG
24
6' 6"
205 lbs
South Carolina
$1,762,796
PF
30
6' 8"
227 lbs
Alabama
$7,199,760
PG
19
6' 6"
176 lbs
--
$2,193,040
SG
26
6' 4"
205 lbs
Michigan State
$19,610,714
C
22
7' 0"
249 lbs
--
$1,620,564
PG
21
5' 11"
180 lbs
Marquette
--
C
25
7' 0"
284 lbs
--
$29,542,010
PF
35
6' 7"
257 lbs
Louisiana Tech
$1,000,000
PG
25
6' 2"
183 lbs
Iowa State
$1,588,231
PG
23
6' 4"
215 lbs
Kentucky
$27,285,000
PF
19
6' 11"
240 lbs
Arizona
$2,284,800
PF
22
6' 10"
218 lbs
Missouri
$3,550,800
SF
27
6' 8"
212 lbs
Georgetown
--

Coach: Michael "Post" Malone

Oklahoma City Thunder Roster

Name POS Age HT WT College Salary
SF
35
6' 8"
215 lbs
UCLA
$12,800,000
PF
20
6' 8"
208 lbs
--
$2,339,160
C
21
7' 2"
245 lbs
UCLA
--
SG
22
6' 5"
202 lbs
Kentucky
$1,416,852
SF
21
6' 3"
215 lbs
Arizona State
$1,517,981
SG
22
6' 6"
181 lbs
Kentucky
$4,141,320
SF
20
6' 9"
200 lbs
--
--
PG
34
6' 4"
187 lbs
IUPUI
$9,590,602
C
34
6' 9"
240 lbs
Florida
$27,500,000
SF
25
6' 8"
220 lbs
North Carolina
$5,029,650
SG
23
6' 5"
195 lbs
Virginia
$2,303,040
PG
19
6' 4"
180 lbs
--
$2,000,000
SF
30
6' 6"
225 lbs
Kentucky
$7,000,000
C
29
6' 10"
240 lbs
Bucknell
$2,283,034
PF
19
7' 0"
195 lbs
--
$2,964,840
PF
22
6' 8"
230 lbs
Nebraska
$1,517,981
SG
26
6' 6"
210 lbs
TCU
$1,416,852

Coach: "Diagonal" Mark Daigneault

Update: Injuries for Denver:

For the Thunder:

Re-up: Yes I'm aware that trades/acquisitions may have been made and the above roster and or coach for the opposing team may be inaccurate. Hopefully you are aware that the fan-post format isn't equipped to make adjustments to the above template, so it often results in entire pieces being destroyed and or hours of work being lost. Simply put, it's not worth the additional effort/risk to change once the Nuggets have faced an opponent once. No disrespect intended. Tune in next season and I assure you the first time Denver plays your team, the roster will be up to date.

Re-re-up: Data only for the time being. Far too much, very-real life transpiring at the moment, mostly surrounding the health of loved ones and that is the bulk of my responsibility ATM. Apologies. Analysis should return in roughly a month, barring unforeseen circumstances. The data is sound.

__________________________________________________________________________________________

Data:

TPM™ Game 33 OKC

Nikola Jokic: +34

Jamal Murray: +26

Michael Porter Jr: +11

Will Barton: +16

Gary Harris: N/A

Paul Millsap: N/A

Monte Morris: +22

Isaiah Hartenstein: +0

JaMychal Green: N/A

PJ Dozier : +11

Bol Bol: -1

Facundo Campazzo: -4

Zeke Nnaji: -7

RJ Hampton: +6

Vlatko Cancar: +0

Greg Whittington: +0

Markus Howard: -1

__________________________________________________________________________________________

Total TPM™

Nikola Jokic: 33 games +1304

Jamal Murray: 31 games +647

Michael Porter Jr: 23 games +177

Will Barton: 30 games +111

Gary Harris: 19 games +84

Paul Millsap: 26 games +137

Monte Morris: 32 games +330

Isaiah Hartenstein: 23 games +71

JaMychal Green: 25 games +151

PJ Dozier: 18 games +51

Bol Bol: 15 games +7

Facundo Campazzo: 30 games +195

Zeke Nnaji: 20 games -30

RJ Hampton: 24 games +33

Vlatko Cancar: 17 games -10

Greg Whittington: 1 games +0

Markus Howard: 17 games +9

_________________________________________________________________________________________

Avg. TPM™ Per Game

Nikola Jokic: +39.52

Jamal Murray: +20.87

Michael Porter Jr: +7.70

Will Barton: +3.70

Gary Harris: +5.33

Paul Millsap: +5.27

Monte Morris: +10.31

Isaiah Hartenstein: +3.09

JaMychal Green: +6.04

PJ Dozier: +2.83

Bol Bol: +0.47

Facundo Campazzo: +6.50

Zeke Nnaji: -1.50

RJ Hampton: +1.38

Vlatko Cancar: -0.59

Greg Whittington: +0.00

Markus Howard: +0.53

__________________________________________________________________________________________

TPM Per-Minute Splits Through game 24:

8oNlXjq.0.png

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*Credit DomP on the Spreadsheet. It's as if my (nerdy) baby (TPM™) learned to speak

Analysis:

Qtr1- The Nuggets go with their 13th starting five, consisting Morris, Murray, Barton, MPJ & Jokic. The Thunder counter with SGA, Dort, Maledon, Bazley & Horford.

Denver is paced in TPM by __ as they __ after one.

Nikola Jokic: + Jamal Murray: + Will Barton: + Gary Harris: + Paul Millsap: + Monte Morris: + JaMichael Green: + Isaiah Hartenstein: + PJ Dozier: + Bol Bol:N/A Facundo Campazzo: + Zeke Nnaji: N/A RJ Hampton: N/A Vlatko Cancar: N/A Markus Howard: N/A

_______________________________________________________________________________________

Qtr2- The

Denver is paced in TPM by __ as they __ at the half.

_________________________________________________________________________________________

Qtr3- The __

Denver is paced in TPM by __ as they __after three.

__________________________________________________________________________________________

Qtr4- The

Denver is paced in TPM by __ as they __

__________________________________________________________________________________________

Final Thoughts:

  • Denver wins 126-96

_____________________________________________________________________________________________

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The Nuggets Win!

_____________________________________________________________________________________________

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 44 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 different 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, which if I'm honest has sapped nearly all fun out of taking in games for me. I get very few days/nights off during the season. One piece requires several hours of research and data entry and all tracking/analysis is done in real time and published mere moments after each game's completion, 82 times per year.

As such, the analysis portion is about 90% (I've run the numbers) creative writing with sarcasm generally indicated through italics, non-sequitur humor and hyperbole, in an attempt to steal back some of the joy this endeavor has snatched away.

Hopefully there is a little something here for everyone but if you came just for data or 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 thank you for the support

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