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Why are Advanced Analytics useful in the NBA? | NBA Stats 101

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  • čas přidán 19. 08. 2024

Komentáře • 26

  • @christopherchristopher360
    @christopherchristopher360 Před 3 lety +28

    You deserve more views man. Jesus this channel is a gem in the rough

  • @KOGOSTOMUS
    @KOGOSTOMUS Před 3 lety +52

    This was a great analysis. I'd say advanced analytics are useful, but shouldn't be the end-all, be-all factor when determining how good a player is.

    • @bawol-official
      @bawol-official Před 2 lety +2

      numbers/percentages associated with sport stats are context dependent as you stated in the video which makes sports so difficult to draw predictable outcomes from. Stats can be further broken down to define very specific scenarios but you run the risk of underestimating one value and overestimating another. This is a massive problem in the field.

  • @mjsantos8492
    @mjsantos8492 Před 2 lety +11

    People often misuse analytics. Analytics isn't just numbers. Its numbers+context. Ben Taylor from Thinking Basketball is one of the guys I see that properly uses analytics in basketball. Numbers don't lie but can be used in the wrong/misleading context.

  • @jk-qm7lh
    @jk-qm7lh Před 3 lety +3

    maan amazing content. I'm a hooper and a nba fan but watching your videos make me realise how little I actually know about the game. Keep up with the work King. Your channel will blow up

  • @Llowin2
    @Llowin2 Před 3 měsíci

    One idea I’m surprised wasn’t explicitly referenced, is that maybe the opportunity for a player to be clutch really only exists when they’re already having sub-par shooting performances.
    When a team is shooting REALLY REALLY well…they’ll likely be winning by more than 5pts at the end of the game. In decisive victories there’s no opportunity for a player to be this definition of clutch. So for a player to “clutch all the time,” is analogous to always redeeming yourself from mistakes. When what should be technically more desirable is to not make mistakes in the 1st place.
    If I’m overthinking this feel free to enlighten me. I’m genuinely curious to whether or not there a metric that takes this concept into account?

  • @risottonero1312
    @risottonero1312 Před 3 lety +13

    man thank you people always bring up fg percentage when talking efficiency and i'm like that's so dumb they're not the same. if we both take 10 shots and you make 5 all layups and i make 4 all threes, i score 12 you score 10 and your fg% looks better compared to mine (50 vs 40). even if i took 9 shots i would have a smaller fg% but scored more points on less shots so how can you be more efficient?

  • @wyattfriend7360
    @wyattfriend7360 Před 10 měsíci

    Heres the thing.. you can have the 5th best Offensive rating, but be first in pace by a lot. That would be the best offense. Basically, if you're slightly less efficient but play much much faster.

  • @jacobpark9051
    @jacobpark9051 Před 3 lety +2

    Great video 👍

  • @jldgriffin
    @jldgriffin Před 3 lety +3

    I’d say the artist to steal more important than any analytics. Stats can be manipulated by the players in any given point in time in the players that are really good know this. Hell Isaiah Thomas said it on NBA open court. You have great players were able to impact the game without ever putting any numbers on any stat sheet. Just saying Analytics never account for that.

    • @jojoprocess2820
      @jojoprocess2820 Před rokem

      This is literally one of the biggest things analytics does

  • @jldgriffin
    @jldgriffin Před 3 lety +2

    Something else analytics never taken to consideration is matchups. Especially when you start talking about analytics throughout the course of a year

  • @mansolo3183
    @mansolo3183 Před 3 lety

    Excellent video

  • @kcameron819
    @kcameron819 Před 3 lety

    Great video

  • @dafaputra3564
    @dafaputra3564 Před 3 lety

    Great vids

  • @CivilAnalyticsKnicksFan

    Jokic is better passer than rondo. 👌
    I love Joker too but let's be a bit more objective

  • @creature1273
    @creature1273 Před rokem

    Just gonna say as a rockets fan, harden is a inefficiant volume scorer, who also forces his teammates to stand still and do nothing. Causing stagnation. Most importantly, analytics are great for 82 games, and are basically useless in a 7 game sample size and even worse in a 1 game sample size.

    • @moogerchee2287
      @moogerchee2287 Před 8 měsíci

      how tf is he inefficient? his ts% is high of any guard, and look at his teammates during his prime. 34 year old cp3 and he still carries the team to a game 7 against kd warriors. no way ur a rockets fan, casual. Other teams have a bunch of movement, why do they get swept against kd warriors? ur so fucking funny

    • @creature1273
      @creature1273 Před 8 měsíci

      @@moogerchee2287 He was inefficient because. He made everyone else do nothing. As a fan, at no point during that season or that series did I legit believe they would beat the Warriors. Magically when that 34yo CP3 gets inquired they became non competitive in that series. If Harden doesn't have the ball, he stood there with his hands on his hips and did nothing. This is why analytics don't show the real story. Analytics can carry you. Harden is very talented player who learned to commit insurance fraud. Got to the line more than he ever deserved to be there. Also his prime he had Howard after taking a worse team to the finals, CP3 old, who some how got a terrible Thunder into the playoffs, Russ shortly after MVP. Also why the whole time he had guys that were there specifically to hid his inefficacy on the defensive side. Who could stand and shoot, in a normal situation. Not a playoff situation.

  • @HiHorace
    @HiHorace Před 3 lety +1

    Very cool 😎

  • @collegepennsylvania837
    @collegepennsylvania837 Před měsícem

    "For God so loved the world, that He gave His only Son, that whoever believes in Him should not perish but have eternal life." John 3:16