Michael Wilbon: Black Folks and analytics don't mix

Are you Black? do you "like analytics?"

  • I am Black, African American, etc

  • I am not Black

  • I like & understand analytics

  • I don't have a use for analytics at all

  • I don't understand and don't want to understand analytics

  • I like or use analytics in moderation

  • Analytics is the best way to measure how good or bad someone or team is in sports

  • The Eye test is the best way to measure how good or bad someone or team is in sports

  • a mix of analytics and eye test is the best way to determin how good or bad someone or team is


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Absolut

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Exactly. There is a place for analytics, but too many people (the vast majority that love analytics) believe that they are the be all and end all, and that the analytics will always show which player is superior or which team will win a game. They should be used to see trends and favorable and unfavorable match-ups, but many of these analytic geeks think they are GM's when they have never stepped on a field, court, or rink.:mjlol:.

The way many people view analytics, there should be no need for a GM or any front office employees as they think analytics will predict everything perfectly.
Pretty much the opposite. Not sure I've seen one time where someone tried to say any analytics were the only part of the equation. They are always used in conjunction with other things. It's the dinosaurs that swear by the eye test and other stuff and ignore anything remotely advanced who are the ones with the all inclusive approach
 

Frump

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The only sport I use it heavy in is baseball because baseball is almost all statistics based and it fits because it's a team sport but played individually. You are what your numbers say you are

In the other sports especially football they'res too many variables

In basketball you can use your eyes to know that Lebron is the best player in the league and without having an all time great on your team your chances of winning a title is close to zero. You cant analytics your way to a title in basketball. The only way to win is pretty simple: get lucky and find the best 2 or 3 players in the league
 
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Bilz

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no but all the analytics stuff is a way for those who couldn't/can't play to get involved. brothas were playing they know pts, rebs, assist, shot %...the basics. the team stat geek was the one coming up with things like defensive win shares whatever that is. it's not something that your average baller really looks at like that.
Yes they do. Whether or not they are putting it down on paper, ballers are absolutely analyzing trends, tendencies, and probabilities when playing.
 

BucciMane

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Pretty much the opposite. Not sure I've seen one time where someone tried to say any analytics were the only part of the equation. They are always used in conjunction with other things. It's the dinosaurs that swear by the eye test and other stuff and ignore anything remotely advanced who are the ones with the all inclusive approach

You will definitely get the older crowd that do not like analytics a ton, but the reason for much of that is that many younger people use analytics as if they are gospel. They use them and think they are qualified to be a GM, and it's absurd. At the end of the day, there are so many variables that can throw off many of the analytics that are used. They are a tool and should be used as such.
 
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Pretty much the opposite. Not sure I've seen one time where someone tried to say any analytics were the only part of the equation. They are always used in conjunction with other things. It's the dinosaurs that swear by the eye test and other stuff and ignore anything remotely advanced who are the ones with the all inclusive approach


Like who?
 

SchoolboyC

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Exactly. There is a place for analytics, but too many people (the vast majority that love analytics) believe that they are the be all and end all, and that the analytics will always show which player is superior or which team will win a game. They should be used to see trends and favorable and unfavorable match-ups, but many of these analytic geeks think they are GM's when they have never stepped on a field, court, or rink.:mjlol:.

The way many people view analytics, there should be no need for a GM or any front office employees as they think analytics will predict everything perfectly.

I mean, I've never come across someone who supports analytics that thinks stats are more important than actually watching games
 

Absolut

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You will definitely get the older crowd that do not like analytics a ton, but the reason for much of that is that many younger people use analytics as if they are gospel. They use them and think they are qualified to be a GM, and it's absurd. At the end of the day, there are so many variables that can throw off many of the analytics that are used. They are a tool and should be used as such.
They are used as one of the many tools to try and analyze and quantify what happens during a game. "I can see with my eyes Ben Wallace was a great defender" why would anyone who had beyond a casual interest in the game hate on trying to quantify just how great on d he is? Yet the "eye test" only folks do. It's baffling. The main reason is some of their "eye test" and "instinct" notions they grew up thinking are flat out wrong, I'd imagine, so they poo poo anyone who brings out data in an argument showing how wrong they are
 

Lord_Chief_Rocka

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Exactly. Wilbon is the type that doesn't know how to use the numbers. If the Spurs were down 3, Popovich would set up a play with screens and misdirections and get a wide open 3 for Green or Mills. It would be a very high percentage play considering the circumstances. In the event that it missed, a Michael Wilbon would say that they should have isolated for Kawhi and had him shoot the 3 because he shoots 45%, ignoring the fact that Kawhi didnt build that percentage taking contested 3 pointers in iso situations.
And my response would be Leonard is your best player so give him the fukking ball
 

tremonthustler1

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no but all the analytics stuff is a way for those who couldn't/can't play to get involved. brothas were playing they know pts, rebs, assist, shot %...the basics. the team stat geek was the one coming up with things like defensive win shares whatever that is. it's not something that your average baller really looks at like that.
if you're paying an insane amount of money to build a winner do you not want every statistical advantage you can get? Granted, there are several stats that I just can't buy into, but at the end of the day the average baller ain't in the front office. The whole "you don't understand. I played this before" excuse ain't valid if the game passes you by. Look at Phil Jackson, Rick Adelman, Kevin McHale, RIP Flip Saunders but him too. Basketball evolves over time, so to get an edge, you gotta make sense of everything you see and everything your eye may not catch.
 

BucciMane

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I mean, I've never come across someone who supports analytics that thinks stats are more important than actually watching games

I'm surprised because with sites such as Draft Kings, Fan Duel, etc, you have so many people just trying to use analytics to build their own fantasy team. I am not saying that is the exact same as using analytics when building an actual team, but these people have the mindset that analytics are far superior to the "eye test". I'm sure people would agree with your stance, but I think many will also agree about many younger people using analytics as their main source as they grew up when analytics and social media started taking off.

The people I generally discuss sports with aren't incredibly hung up on analytics, but I've run into so many little analytic and fantasy geeks that literally never mention anything other than numbers.:yeshrug:.
 

SchoolboyC

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seems like this is what happens when comparing older stars or teams to todays game, tho.

I think some people who weren't around for those eras may rely more on stats but the knowledgeable people that I know use a combination of numbers and the eye test, which to me is the best way to do it.

Advanced stats are fine as long as they're used within the right context
 
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