Indians’ starter Trevor Bauer prepares to collect data at Driveline Baseball.
Kyle Boddy spent years getting it wrong. “There were years of inconclusive results that led to more questions,” Boddy told me about his past work at his Driveline Baseball facility in Kent, Washington.
He had the best intentions. After years of day jobs, and coaching youth baseball with some competitive weightlifting sprinkled in, he started writing at The Hardball Times and studying injuries with Josh Kalk, now a member of the Tampa Bay Rays’ front office. They had some success using neural networks on PITCHf/x data in order to spot injuries earlier than usual.
In the end, though, the Seattle-based mechanics analyst wanted to take a look at pitcher development under the same data-based lens that he and Kalk had used to spot existing injury.
So he built a biomechanics lab, complete with high-speed cameras and objects of known size. (That object, known as the Cube, is a square box built of tubing that helps calibrate the cameras so that the video created is all comparable.) It was a lot of work with an uncertain reward. “We got a lot of great kinetic data,” said Boddy of that time. “Then we realized that there was a huge amount of noise.”
Helping Boddy with the realization was Dr. Murray Maitland in the Department of Rehabilitation Medicine at the University of Washington. When approached with analysis based on limb movement and pitchers’ physical tendencies and the link to injury, Dr. Maitland smiled and dropped what might have been a bombshell to Boddy that day. “Just because the joint or limb moves in this direction doesn’t mean the underlying muscle is doing that,” said Maitland in Boddy’s recollection. “The movement could be due to inertia, it could be due to whatever. You can’t infer muscle activity.”
That’s when Boddy realized how much noise there was in the supposedly rock-solid findings floating through baseball. When the American Sports Medicine Institute releases a paper that says that the internal rotation of the elbow is 7000 degrees per second, that “sounds like a really scientific thing,” said Boddy. But it’s using high-speed cameras, and the data is limited by the frame rate on the technology they’re using. Even at 160 frames per second, there’s a “huge amount of movement” between frames, pointed out Boddy. The error bands are up to 1500 degrees in both directions — that’s one standard deviation, according to the private pitching coach.
That’s the type of thing that frustrates anyone working with baseball and biomechanical data, for sure. But there was one last thing from Dr. Maitland that gave Boddy hope. The rehabilitative-medicine professor pointed him in the direction of EMG sensors in order to find out what is actually happening in each muscle group as a pitcher throws the ball to home plate.
The problem was that there were no cheap, publicly available EMG sensors that Driveline could use for data collection. Boddy saw a Ted Talk by Alexander Gray about creating just such a product, though, and realized what he needed wasn’t far from the market. “I bothered him for a while and finally he made a Kickstarter and I funded it on the max level. Six months later he shipped out units and they worked great.”
With EMG sensors in hand, Driveline had the capacity to understand exactly what was happening under the hood. And yet the progress is still slow.
One main finding has allowed Boddy and his team to check their pitchers at every point along the training process to understand how much stress they’re putting on their arms. “The biggest thing we saw with people who were about to be hurt or had been hurt was that forearm flexor activity was extremely low comparatively to the norm,” Boddy said.
Using the EMG sensor during a grip test, they set up a baseline reading. Then they had pitchers throw hard, throw strikes, with normal spin rates, and do the test again, for a healthy dynamic baseline. You test again five days later after rest. Any departure from that second baseline indicated that whatever they were doing was not good for them. Even with the same velocity, a pitcher might not be activating his muscles efficiently because of an underlying injury.
Rangers’ righty Cody Buckel throws as Driveline Lead Trainer Matt Daniels watches his spin rates.
From that discovery flowed others. “Spin-rate changes are actually one of the best predictors of injury,” pointed out Boddy, a fact that was confirmed as a known within many parts of the baseball community by multiple sources. At Driveline, pitchers have their spin rates monitored constantly for the earliest signs of unhealthy fatigue.
But, using the EMG sensors, the team also developed some best practices for their pitchers. Generally, Driveline is “applying general motor-learning principles into baseball and then monitoring it using the EMG sensors.” That means breaking skills down into chunks that help the pitcher’s brain and body map the healthy mechanics.
Most of those drills involved weighted balls, and once again that’s because of well-documented findings by both Kyle Boddy as well as Dr. Coop DeRenne. Boddy found the University of Hawaii researcher’s work, which indicates that weighted balls are good for velocity and have no impact on health — and immediately tried to replicate it. He actually fell into a situation where he had a control group — young pitchers who weren’t allowed to do the weighted-ball program — and the results were just as impressive as DeRenne’s.
By continuing to collect data along the way, Boddy is still learning as he goes. By using force plates — basically just mats which are capable of measuring force — he and his associates recently discovered that “the back-leg push-off effect is very minimal for producing velocity.” Said Boddy: “The biggest thing that correlates between the two is the force going into the ground on your glove leg — the better you block the force, the more velocity you get. There’s also no evidence that stride length has anything to do with it. Just force into that front leg.” EMG evidence backed up the force-plate analysis. So they developed an exercise — called a rocker drill — that helps the pitcher concentrate on blocking that force on the front leg.
So you think the right leg contributes big time to velocity? Check closer when EMG activity is highest. Deceleration. pic.twitter.com/XSLpoaUhCY
— Kyle Boddy (@drivelinebases) July 23, 2015
They can also now bring back in the kinematic analysis while checking the ramifications of that analysis along the way with EMGs and spin rate readings.
For example, one pro pitcher new to Driveline has an incredibly fast arm with a huge amount of torque. “The guys like Trevor Bauer, Cody Buckel, guys that have trained for a long time with weighted balls and do drills, they see that same force over a longer period of time,” Boddy says. So the lab at Driveline is trying to figure out how to flatten his curve. Like a car, having a “crumple zone” that spreads the stress over a longer space is good for the elbow. Take a look below at different shoulder internal-rotation angular-velocity curves for pitchers to get an idea of what Boddy means.
There’s more to discover, but Boddy is more interested in small findings and tweaking existing deliveries than trying to revamp mechanics completely. He’s mostly dealing with adults, anyway. “The tissue has adapted in such a way to compensate” for their unique deliveries, Boddy says of his clients. “If they were 12, we could coach them out of issues, but the best way is to not coach them at all. Let them have fun.”
And as hard as it is to uncover actual findings around which he can wrap his hands, at least the people at Driveline Baseball have a few ways to measure directly what is happening inside a pitcher’s body as he throws the ball. Those measurements are fun, too — pitchers gather around as spin-rate readings are collected, and there’s a leaderboard of weighted-ball velocities on the wall. When they play command games to see who can hit the zone the most, the loser gets shot in the back with a paintgun.
Boddy seems happy to act as a resource and a gentle guide while the players have fun, because there were the harder years. “Throwing takes years of skill to acquire, and if there’s no quantitative way to test how well they are doing, it gets frustrating,” Boddy remembers of the early days. Now, though, it’s about asking questions and letting the data answer.
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