Chien Li Ho

@Teacherman1986 If bat speed doesn’t matter why finish the swing after the snap since you can already hit from there.

“If I go over 88 EV I’ve swung too hard”. Pay. Attention. Stop the bat speed nonsense. 🤦‍♂️🤦‍♂️🤦‍♂️🤦‍♂️🤦‍♂️🤦‍♂️🤦‍♂️🤦‍♂️🤦‍♂️🤦‍♂️🤦‍♂️

@tomdoyo @BachTalk1 @MLBONFOX I might’ve made things too complicated. I think a glove centered coordinate can solve it regardless of system. Basically I just want to know where would ball goes. Not just dist but also direction to have better understanding of missing patterns

@ChienLiHo1 @BachTalk1 @MLBONFOX Very interesting, could you elaborate?

I spent 100s of hours grinding out manual labels this summer so that we can measure command! How? By measuring the distance between the catcher's target VS where the ball landed. There's more to come, but here's 10 pitches from the All-Star Game: (📽 @MLBONFOX)

@Teacherman1986 It would be great if you provide me more clue. Mlb bat swing data is in public, so if you know met which mlb play met your description please let me know. e.g. Shohei Ohtani, Mookie Betts, Nolan Arenado

@ChienLiHo1 lol. You have no clue.

When the Driveline virus is removed…..the HLP snap appears. The video is undeniable. Head stays back as he moves forward. Launch is rearward BEHIND the rear leg. Weight shift as he swings not before. Driveline instruction automatically adds length to swings. They should shut down their hitting instruction immediately.

@domfazz42 @Teacherman1986 They’re focus on three things: bat to ball skill, bat speed and swing decision

@ChienLiHo1 @Teacherman1986 Big differences. His teaching is all about quickness to the ball. Driveline is more about power, bat speed and exit velocity.

@Tstokey Lead foot force should be more backwards? And upper arm is a little bit early

Lots of information on a very good hitter. What does he need to improve? What is he going to struggle with and why?

@ThornesThrows That’s cool. I thought horizontal abduction gonna correlate better with both torque and velo.

@ChienLiHo1 Shoulder abduction

This one graph can teach you to program any aspect of player development better than many coaches This is why a higher jump can have lower power and a throw with less layback leads to higher peak torque Impulse curves eliminate guessing, to build the perfect program🧵👇

@ThornesThrows I’m interested in 2nd one is it abduction or horizontal abduction?

In a throw, increasing layback (max shoulder ER) leads to lower peak varus torque, but more total stress on both the UCL and forearm The forearm counters valgus load to stabilize the medial elbow over a longer duration. More strain limits how much they can stabilize

@JCondreay If I have too much elbow flexion i can try closing my torso more?

Key takeaway: This doesn't mean closed torso = bad elbow flexion. But IF elbow flexion is problematic, it MIGHT be compensation for torso position. Just another lens to consider when evaluating arm actions.

Lack of elbow flexion is traditionally seen as bad for arm health. But when we see these "unconstrained" arm actions, we need to distinguish cause from effect. Let's take a quick peek at how we might be misunderstanding elbow flexion...

@jtmorris827 @DrivelineBB I build a pitcher’s version

Been cooking up a biomechanics viewer with data from the @DrivelineBB OpenBiomechanics Project. This app takes the c3d files and allows you to view the swings, as well as isolate each swing phase and compare it to other swings in the project. 1/2

@BachTalk1 @drivelinekyle I think next question is what predicts energy transfer. In same data set, weight predicts ~40% and that’s all I know. Interestingly, adding torso rot velo doesn’t provide a meaningful gain in explanatory power.

Data from Driveline OpenBiomechanics Biomechanics 101: Shoulder Energy Transfer vs Pitch Speed @drivelinekyle #MLB #Statcast #Biomechanics

@ThornesThrows Don’t know why but low half seems to contribute far more less in this graph

@ChienLiHo1 This isn’t any specific “model”, just visualizing the quantity of energy and how it is transferred through each segment

The goal of mechanics is to transfer as much energy as possible through each segment and into the arm. I made reports to measure energy flow throughout the delivery, which can help identify and visualize this for athletes Here’s the 4 hardest throwers in drivelines open biomech

@drivelinekyle Is other dense model horrible as well? I’ve tried qwen3.5 27B q3_xxs and it works well. It’s reported that 35B has more awful programming capabilities

@clayton_t22 How does segment mass determined? Isn’t that necessary to calculate how much work is done on the segment?

@ChienLiHo1 Slight confusion here I think. Energy transfer is based on work. Work over time is power. The sum of power is energy transfer. However, your idea of simply thinking about angular velocity is spot on here. Good thinking. Gravitational PE uses mass.

A 100mph fastball is 144 Joules of kinetic energy. A pitcher at peak leg lift has 1,204 Joules of gravitational potential energy. The mound stores more energy than the ball needs. The body just can’t transfer it all cleanly. Throwing is thermodynamics. 🧵

@ThornesThrows @DrivelineBB I thought it would be higher tho. Consider it’s r^2 is sky high when just compare peak power to velo(~.5)

All pitchers @DrivelineBB get a motion capture and high performance force plate assessments. These show trainers exactly where the athlete is at, and where exactly they fall short of elite performers. I analyzed all reassessments to see what changes lead to velo jumps🧵⬇️ (1/8)

@ThornesThrows What is pelvis torso relationship? In what direction is better?

The highest r^2 was a pitcher whose pelvis-torso relationship at peak knee height explained 72.9% (r^2 = 0.729) of variance in miss distance; another pitcher’s rear ankle at foot plant explained 68.6%. Across all 1,360 data points, the mean r^2 value was 0.072 - a 2,319% increase

For 150 years, baseball coaches have preached the importance of repeating mechanics; but this has changed recently as coaches learned the importance of variability. Until today, there has been no way to quantify variability in the throw. Here is how I quantified it 🧵⬇️

@kuroganekarasu 能被老闆娘按讚是我的榮幸

@ChienLiHo1 謝謝你!!! 左手上端的是烤米粒嗎🤤好棒唷🥰🍺

#夜烏檔案 在居酒屋工作中的老闆娘