Why the NEW Bat Tracking Data from Baseball Savant Matters

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  • Опубликовано: 13 окт 2024

Комментарии • 49

  • @SetupManCubs
    @SetupManCubs 5 месяцев назад +4

    One of my favorite videos you have done! Baseball Savant can be tough to decode. This is extremely helpful

  • @christophersuto3263
    @christophersuto3263 5 месяцев назад +3

    Glad we have smart people like you breaking down all of this. I wonder for bat speed vs pitch type can relate to batter's ability to recognize the pitch type. Also could vary for good hitters who receive a lot more breaking balls than the average hitter. I wonder if Mookie Betts sees a lot of breaking balls and recognizes better and that is why his bat speed is higher for that pitch. Seems like in general hitters are caught off guard by off speed and start/stop/start their swing and will have slower swing speeds.
    Either way I imagine the sample size is super small and this will be great to see after a full year and going forward.

    • @LanceBroz
      @LanceBroz  5 месяцев назад

      Yep, sample size definitely has some implications here. Going to take a year or two of data to see how stable some of these stats are as well

  • @PT1-
    @PT1- 5 месяцев назад +6

    Awesome stuff Lance. Can't wait for the bat path rollouts later this summer. Also, very intrigued by this on the Pitcher's side, would love to see how much control Pitcher's truly have over their opponent's bat speed. My hypothesis would be very little over long periods of time, but will certainly be interesting to see the outliers who constantly have guys off balance.

    • @LanceBroz
      @LanceBroz  5 месяцев назад +1

      Yep! Think I agree on the pitcher - bat speed point
      I’d guess the squared up stuff may play some part in deception. Will be interesting to see how perspective evolves with this info

  • @phinn0109
    @phinn0109 5 месяцев назад +3

    Awesome video! Loved hearing your thoughts!

  • @joshcashin563
    @joshcashin563 5 месяцев назад +3

    W vid, would love more vids on these stats just bc it seems like a whole bunch to take on right this moment

    • @LanceBroz
      @LanceBroz  5 месяцев назад

      Yeah! It’s a lot. I’ll likely be working it in to future stuff I do. Still digesting a lot of it as well

  • @BasedLinesBaseball
    @BasedLinesBaseball 5 месяцев назад +2

    As far as the Mookie, etc phenomenon, Justin Choi tweeted a chart that showed a positive correlation between overall swing length and bat speed. As a hitter, if you are trying to catch up to a fastball, you oftentimes have to shorten your swing to get to that pitch, whereas with off speed, you can take a longer (and thus higher bat speed, more time for barrel to accelerate) swing

    • @BasedLinesBaseball
      @BasedLinesBaseball 5 месяцев назад

      Leads me to believe these are guys that don’t completely sell out for fastball, but can often sit somewhat “in between” bc they recognize pitches so early out of the hand, shortening up to get to the fastball. Vs the CWalk group sitting fastball and being more likely to really have to slow everything down to get to the SL

    • @LanceBroz
      @LanceBroz  5 месяцев назад +3

      Yeah, I think this is a fair assessment. Long swing and bat speed correlating makes sense. I saw that too.
      The money is probably in the guys with short swings + above average bat speed, or as you said, ability to be adjustable.
      I think we’ll learn a ton more as we get into bat path data as well

    • @312fit
      @312fit 4 месяца назад

      What do you think bonds’ metrics would have been like 😂

  • @madxD144
    @madxD144 2 месяца назад +2

    Crazy that Cruz has some distance in terms of exit bat speed, whilst being match in terms of exit velo

  • @capraagricola
    @capraagricola 5 месяцев назад +7

    Small correction, 4 tampa bay rays in the top 10 for bat speed decrease with 2 strikes -- missed Harold Ramirez

    • @LanceBroz
      @LanceBroz  5 месяцев назад +3

      3 in the top 6 sounds better!

    • @capraagricola
      @capraagricola 5 месяцев назад +1

      @@LanceBroz 2 in top 4 >>>>>>

  • @boazboazboaz
    @boazboazboaz 5 месяцев назад +1

    great as always lance. can't wait for the bat path drop

  • @Aut0KAD
    @Aut0KAD 5 месяцев назад +1

    its interesting that there is a negative correlation between bat speed and squared up / swing. makes sense but you really see the trade off. what I'd like to see is that chart, but you change the color of the players based off WAR to better understand how this ratio is leading to results

    • @LanceBroz
      @LanceBroz  5 месяцев назад

      Yeah, the problem is that non of this is considering plate discipline, which is going to be a huge driver of WAR. Lot of players bottom left who are average through swing decisions alone

  • @omilu808
    @omilu808 5 месяцев назад +1

    Great breakdown as usual

  • @Aut0KAD
    @Aut0KAD 5 месяцев назад

    when you change the chart to wiff rate/bat speed, you can really see the top batters group together. Mike Trout, Yordan Alvarez, and Juan Soto together in a nice clump.

  • @trealville23
    @trealville23 4 месяца назад +2

    Since it became public that Matt Chapman has the fifth highest avg bat speed, he has been absolutely RAKING. Dont know what it means but it’s just funny. I imagine Chapman said “dam I’m fire” lol

  • @veryveryboss
    @veryveryboss 4 месяца назад +1

    I’m begging for a good analysis of what the numbers say about different batting stances like open, closed, neutral, or bat angle at the beginning of a swing

    • @LanceBroz
      @LanceBroz  4 месяца назад +1

      Maybe someday! Would be cool

  • @blakethetank
    @blakethetank 5 месяцев назад

    You can get the Maximum EV based off swing speed so I'm guessing with squared up they are just taking the difference and putting it in a percentile output.

    • @LanceBroz
      @LanceBroz  5 месяцев назад

      Yeah, that’s my understanding. A ball is considered “squared up” when 80% of the potential EV is realized. And potential EV is what you’re talking about - a combo of swing speed with some pitch speed

  • @jcjvcjc98
    @jcjvcjc98 5 месяцев назад

    Counter-intuitively, I think this bat tracking data is most useful for measuring pitcher performance in a way that helps us understand quality-of-contact-against better. For hitters, it looks interesting but fairly obvious outcomes in retrospect.

    • @LanceBroz
      @LanceBroz  5 месяцев назад +1

      I see your point, it just really has to be controlled for the quality of hitter I think.
      The sweet spot stuff in particular can (probably) help us to understand broadly, which pitchers might have more deception (for one reason or another). We’re just going to need a meaty sample to be confident.
      I really think when the path data comes out we’re going to really start understanding a lot about how hitters are getting to contact points and what pitchers should be throwing vs certain hitters.

    • @jcjvcjc98
      @jcjvcjc98 5 месяцев назад +1

      @@LanceBroz agreed, definitely has to be controlled for the quality of the hitter and defintiely needs a higher sample size.

  • @ElHermanoDeAquiles
    @ElHermanoDeAquiles 5 месяцев назад +1

    Squared-up is the true sweet spot percentage. Know I understand why Stacast changed the originally sweet spot% stat to LA sweet spot %.

  • @domingotavarez_
    @domingotavarez_ 5 месяцев назад

    It's possible to calculate the Bat Speed (like estimated) with Trackman Data?

    • @LanceBroz
      @LanceBroz  5 месяцев назад +1

      I think there’s probably a way to back into it, but there’s going to be some error. It would essentially just be some kind of EV calculation.
      Need Hawkeye for this stuff from my understanding.

    • @domingotavarez_
      @domingotavarez_ 5 месяцев назад

      @@LanceBroz Have you ever heard some possible formula, like EV vs Pitch Speed and some point of contact?

  • @BlueLotusGhost
    @BlueLotusGhost 4 месяца назад

    The lowest bat speed belongs to the highest average hitter. very interesting

  • @Dirkkkkk
    @Dirkkkkk 5 месяцев назад +2

    Because it shows how terrible hitters have actually become while selling out for a .200 avg and 20HRs

  • @rowdyghost4713
    @rowdyghost4713 5 месяцев назад +1

    Imo, I think just like ev, kids are going to absolutely abuse this and royally screw up their swings

    • @LanceBroz
      @LanceBroz  5 месяцев назад

      This data is probably never going to make it amateur levels (below minors) because Hawkeye is so expensive. Or it’s going to take a while. So that’s just an over exaggeration.
      Everybody knows what exit velo is. Kids are going to chase it. Cats out of the bag.

  • @mike-0451
    @mike-0451 5 месяцев назад +2

    Not to bring up another obscure minor leaguer but what's the deal with these unheralded college pitchers the Astros keep drafting? James Hicks and Jake Bloss are dominating despite having pretty unremarkable college careers.

    • @LanceBroz
      @LanceBroz  5 месяцев назад +2

      Yeah, those guys are pretty different pitchers. Bloss is carry 4S, Hicks is a sinker/two seam guy. I think (certain) teams are just so good at ID’ing pitchers they can make better through mix or biomech and then doing it immediately when a guy gets in the org.

  • @InUteroKDC
    @InUteroKDC 5 месяцев назад

    PED users will have the highest bat speed- looking at you Tampa Bay Rays players

  • @helloman3676
    @helloman3676 5 месяцев назад +2

    Just mean bat speed don’t mean anything 😂😂😂

    • @shawnhalsey7705
      @shawnhalsey7705 5 месяцев назад

      Quite possibly the dumbest of all analytics out there and there is a lot of really dumb analytics.

  • @davidpurba404
    @davidpurba404 5 месяцев назад

    Your volume is quite low. I can't hear clearly without headphones