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Jeff Teague REVEALS why Minnesota Timberwolves traded him in 2020 to Atlanta Hawks | Club 520



Jeff Teague REVEALS why Minnesota Timberwolves traded him in 2020 to Atlanta Hawks | Club 520

Jeff Teague tells the story about why the Minnesota Timberwolves traded him. He was told he wasn’t “bought in” to the Wolves’ plan of taking more three-pointers, and was taking too many mid range jump-shots. The guys talk about Daryl Morey using AI and analytics to determine basketball transactions, and how Teague was a victim of analytics.

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#nba #basketball #jeffteague #story #stories #sports #podcast #minnesotatimberwolves #trade #nbatrade #analytics #darylmorey

47 Comments

  1. The problem is there needs to be a pure basketball head in charge of analytics to understand how to make changes that will translate positively because they’d read the information differently.

  2. Analytics can’t measure athleticism, heart, but can kinda measure rhythm. These are usually determined by eye test. Data can only tell you so much about the game. Seeing it with your real eyes paint a different reality. This is pleat killing the game too much analytics and this coming from someone transitioning in a career in data analytics

  3. The thing that pisses me off about analytics is it takes the " it or X- factor" away from players because who is the player the analytics is getting its base metrics from?!? If every player in that situation is " supposed to go for the layup in situation A but player 1 passes it to the wing and they get a 3 and player 2 in situation A went for layup and got the ball stolen" are the analytics going to judge them player 1 negatively and paint player 2 in a better light because according to the analytics player 2 successfully failed while player 1 got dragged because the layup was. 62% chance of success while the 3 is 22% of success?!?

  4. The analytics got some of these Stars playing like role players and not using their other skills and talents as often.

  5. 2014 AAU game, I hadnt seen AAU since 2000. Went to that game for my 13 yr old cousin, they played the brand of basketball that the NBA plays, RIGHT NOW. Crazy to see

  6. A lot of analytics seem to be correct most of the time, but there are outliers who are so good in the mid-range, or play a certain way that they will break the mold. I think if you are a slave to the analytics, it's a mistake, but if you use it as a tool to evaluate then it's legit

  7. When i was a kid and saw Adrien Payne drop 41 or Scottie Wilbekin and Patric Young dominate I was inspired. I’m positive DJ Burns was a huge deal just last year. Don’t agree with that take

  8. Teague isn't wrong, but it really just comes down to efficiency. Most organizations just want to do it the easy way instead of working with players to find their most efficient offence. Most long range 2's are bad shots to take, but Teague was shooting a crazy percentage for the Wolves in the mid range that year. 67% on long 2's in volume is crazy work, just let the man live.

  9. In my era , all the l.a. players wanted to have some Harold Miner game in them USC Harold Miner ! Before he got to the league ! Pooh Richardson was hella influential in his day also , had a haircut named after him ucla Pooh , Michigan fab 5 changed everything , uniforms , shoes , the entire youth basketball world wanted to resemble the fab 5 ! College hoops was different in our era !!

  10. please stop with the narrative that analytics ended players like jahlil okafor’s career. he was an out of shape center who played zero defense. on a team that barely won 20 games, he was their worst defender. besides the fact that he was 20/10 off the same dribble spin mini hook move, he had no variety in his games. analytics also got guys paid if you want to bring up the “got rid of players positions” point

  11. also, analytics gave light to the best shots in the game: layups and 3’s. a 36% 3pt shooter is way more value than a guy shooting 36% from midrange. your guys’ takes are usually pretty ignorant and based on vibes, but this one take you guys have about analytics is especially stupid

  12. Scoonie Penn, Shammond Williams, Joe Forte, OJ Mayo, Randolph Childress, Mateen Cleaves, Deron Williams, Marcus Fizer, Nick Van Exel, Starbury, Jarret Jack, Salim Stoudamire, Todd Day. I used to love college basketball.

  13. Let’s talk about it. The NBA is a copycat league, but teams copy what wins. Are we really saying the old-school style of basketball would win more games, yet every team still chooses to shoot threes instead of going against the grain and stealing a championship?
    You’re telling me there isn’t a single coach who could design a defense to exploit this offense, knowing that the spacing is artificial because teams refuse to take mid-range shots? Owners want to win more than they want to be at the bottom of the barrell. And his example is the best example because Tatem is not a good 3 point shooter. BUT for the opposite reason. He shots 45% from the field and 35% from 3. So lets say we INCREASE his field goal percent to 50% he would average 1 point a possesion. But with 35% from 3 he averages 1.05 a possesion. Even being a bad shooter if you can get them up is better. ESPECIALLY if you are like Tatem and can get any shot you want and get your teammates who are better open 3's. Fire away. Make the case for exploiting it is all Im saying.

  14. Respectfully… kids have never given a fuck about college basketball. Young people pay attention to college basketball either once they (are about to)go to college, or when it’s a prospect you can’t ignore like Zion or CC. That narrative that the kids don’t care anymore, when the kids never cared was peculiar.

  15. its the data, so its easier to say, don't shoot the middie, vs trying to find guys that can. Only like 15% of players that can hit the middie, so simple math is to ban it vs teach it.

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