NBA Analytics is pure bullsh*t

The God Poster

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Actually college coaches in general don't get long leashes unless you're considered top level. Great college coaches tend to stay in college because for a while, the coaches that would make the leap fizzled out quickly because controlling a locker room full of vets is different than controlling one with 18-22 year olds.

Here's the list of NBA guys currently in the league who went from college to the NBA directly:

Brad Stevens
Fred Hoiberg
Billy Donovan.

That's the entire list.
No doubt..my point still stands. Once they are there they will get a long leash . Every top college coach or one who has turned around a program at some point has been courted by the league.
 

ghostwriterx

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Yeah Brad Stevens was a beast in College because Analytics and highly structured offenses works great in College
-The skill level is less, so there's less of a burden on "how different talents can mesh"
-School is attached to it, the coach is seen as a bigger authority figure than in the NBA, the coach can impose any system he feels like with no opposition
There's a reason a majority of College coaches fail in the NBA
Um, doesn't that perfectly describe the current Celtics team?
:patrice:
Brad Stevens is in a unique situation in the NBA. The Celtics have an already structured system that he can eat off of, the same old system that Bill Russell/Bird/Havelchick played with
:what: What are you trying to say? You're just saying words right now.:heh:
 

SchoolboyC

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No doubt..my point still stands. Once they are there they will get a long leash . Every top college coach or one who has turned around a program at some point has been courted by the league.

What long leash? Hoiberg is in year 2 and there's very real possibility he's gonna get fired in the offseason.

Stevens is in year 4 and the team has improved every year he's been there.

And Donovan is only in year 2.
 

HandyWithTheSteel

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Analytics is what saved the league from the watered-down, inefficient, iso-heavy 2000s. The league was damn near unwatchable with all that one-on-one AAU bullshyt.:scust:

Lebron is the king of the analytics era so it's far from a white thing. Anybody who says that analytics is a "white" thing just because it focuses on fundamentals, efficiency, shooting, and teamwork is on some c00n shyt. :mjpls:
 

The God Poster

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What long leash? Hoiberg is in year 2 and there's very real possibility he's gonna get fired in the offseason.

Stevens is in year 4 and the team has improved every year he's been there.

And Donovan is only in year 2.
Hoiberg should have been fired mid season last year. I hate that fool:pacspit:
 

jaguar paw

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What long leash? Hoiberg is in year 2 and there's very real possibility he's gonna get fired in the offseason.

Stevens is in year 4 and the team has improved every year he's been there.

And Donovan is only in year 2.

That nikka pulling up from 40 in his posts and didn't think anybody was looking.

:skip:
 

yseJ

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It's similar to Calculus. It's cool to calculate what's happening instantaneously, but it applies nothing to the real world
:what: :what: :what: :mindblown:

are you fukking retarded breh ? calculus
1)doesnt calculate whats happening 'instantenously'
2) it applies to tons of things in the real world, because it's about measuring rate of change over an interval of time - a thing natural to the world that we live in where shyt changes over time. majority of physics or statistical models cannot function without calculus.

put your fukking pipe down breh. if you dont understand calculus doesnt mean it doesnt apply to the real world. I suspect its the same for your view against analytics tbh
 

The Fire

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- Analytics is extremely flawed, because those Stats are calculated in the moment, have have no bearing on how that person is doing overall, and has no bearing on the many factors that influence those analytics. It's similar to Calculus. It's cool to calculate what's happening instantaneously, but it applies nothing to the real world. I took a couple Statistics classes before. Influential factors can change alot of things. For instance someone's + / - of a player depends alot on who's on the floor with him, how talented is the person he's guarding and scoring against, the pace of the game, is someone in foul trouble and not giving it 100%, is someone injured/hobbled, how good is the floor spacing, etc etc. It can go on and on. And just like the nature of Statistics, you can manipulate the numbers to fit any narrative you want

What in the world :mindblown: :mjlol:
have 0 understanding of calculus brehs
 

HandyWithTheSteel

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Not this many high-round draft pick cac busts as there are now tho


But keep exposing yaself :mjpls:

The fukk are you talking about? :what:

Ever heard of Shawn Bradley, Danny Ferry, Bryant Reeves, Keith Van Horn, Raef LaFrentz, Christian Laettner?

And those are just top 5 picks from the '90s.

Not to mention the fact that Adam Morrison was way before the analytics era.

Sit the fukk down if you don't know what ur talking about. :mjlol:
 

SadimirPutin

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Analytics reveals a lot of things...a lot of them very useful information

What people disagree about are the CONCLUSIONS DRAWN from the numbers.
 

David_TheMan

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you can justify anything purely statistically, holilnger's PER is a shyt statistic. There are other statistics that can give you an insight into objective reality influencing decisions, a lot of stats in football and basketball are useless though, win share is useless, +/- is useless, rebounding, blocks, pts useful in context like most other stats.
 
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