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A Pitch F/X Analysis of Danny Hultzen


With all the excitement surrounding this year's playoffs, it is easy to forget that The Arizona Fall League is in full swing and it features the first two picks in this years draft, Gerrit Cole and Danny Hultzen. Two of the six team's stadiums are also equipped with Pitch f/x cameras, allowing for us to take a closer look at these future stars. I had originally intended to focus on Gerrit Cole and Danny Hultzen, unfortunately for this analysis' sake, Cole has yet to pitch in one of the stadiums equipped with Pitch f/x, so we'll focus on Hultzen,

Dannny Hutzen was drafted out of the University of Virginia by the Seattle Mariners with the 2nd overall pick in this year's draft and is currently pitching for the Peoria Javelinas. Below is a video of Hultzen warming up at a Fall League game, notice the hitch in his wind-up and his unique delivery which allows him to keep the ball out of the batter's line of sight longer than the average pitcher.

While Hultzen has not logged enough innings to get anything meaningful from his statistics, we can look at some of the Pitch f/x data collected from his starts to provide some insight. Pitch f/x has captured 163 pitches that Hultzen has thrown over two of his three starts. I re-classified Hultzen's pitches and found that he has been throwing  a four-fastball 46% of the time, a two-seam fastball 28% of the time, a change-up 22% of the time and a slider 2% of the time. Both his fastball average a speed of 92.5 MPH and his slider and change-up both average speeds of 82 MPH.

Let's start by looking at Hultzen's average pitch trajectories for each pitch.

Star-divide

Danny_hultzen_pitch_traj2_medium

Hultzen, who is 6 feet 2 two inches, has an average release height around 5 feet 4 inches, a lot lower than the MLB average release height of 6 feet for lefties between 6 feet and 6 feet 3 inches tall. His change-up and two-seam fastball have good drop on them, but as we'll see later, he has been having some trouble locating those pitches and getting consistent movement. His slider and change-up have similar trajectories for the first 20 feet or so, adding another layer of deception on top of his unique wind-up and release point. 

From here we can look at where Hultzen has been locating his pitches. The vertical locations for this chart have been normalized to account for the batter's height and the pitch types have been reclassified using a clustering algorithm. The points are grouped by both pitch type and the result of the pitch. Due to the small amount of left handed batters faced (7), I only plotted Hultzen's pitches to righties.

Danny_hultzen_pitch_plot_medium

Hultzen has been throwing primarily up and away and low and inside to right handed batters. He has had some trouble keeping his change-up in the zone, and when he does, it is often up in the zone, leading to balls in play. He has also had some issues controling his two-seam fasball, though when has stayed in the zone the results have been good.

Hultzen's control problems appear to be related to the amount of vertical break on those two pitches.

Danny_hultzen_pitch_movement_medium

Hultzen has been inconsistent in the amount of spin he puts on his change-up. The green marks higher up on the charts are change-ups that he was probably expecting to drop lower into the strike zone, but ended staying up in the zone

He is a little more consistent with the break on his two-seam fastball, but has run into a problem due to his low release height. The pitch breaks too much and ends up too low. One solution for that would be to release his two-seamer on a higher trajectory, but he would then lose some of the deception gained by having both his fastballs start on similar paths.

Hultzen's short term solutions appears to be throwing his two-seamer less frequently. In his most recent start he threw his two-seamer 7% of the time, compared to  21% his other two starts captured by pitch f/x.

This is all from just 8.2 of  the 12.2 total innings that Danny Hultzen has pitched in professional baseball. The Arizona Fall League is about giving players extra time to develop and hone their skills, and statistics are not reliable indicators of future performance. However, the Pitch f/x data allows us to visualize players whom we have only read about in scouting reports or seen on YouTube.

Hultzen has had some control problems in this small sample, but I would  imagine it is all part acclimating himself to a new level of play. He has also faced a disproportionate number of right handed batters. As a pitcher who gains some of his edge from keeping the ball out of the batter's line of sight, he is expected to perform worse against righties since they can see the ball out of the pitcher's hand earlier than lefties. Of the seven lefty batters Hutzen has faced, none of them have gotten on base.  It will be interesting to see how Hultzen develops his pitches and see if his unique throwing style will throw off professionals as it did college hitters.

References:

Video courtesy MLB Prospect Portal

Pitch f/x data is provided by MLBAM and is downloaded using altered scripts originally created by Oliver Wells and Mike Fast

Graphs were made in R using the RGL and ggplot2 packages

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what do you mean "clustering algorithm"?

I don’t have any problem with that, just curious about what it is/how it works….also, this was fantastic

follow @klett206

by Rochestie4ever on Oct 28, 2011 6:51 PM EDT reply actions  

re: what do you mean "clustering algorithm"?

It is a standard k-means clustering algorithm, run in R, that clusters pitches based off their speed, vertical and horizontal break. All I do is input how many types of pitches the pitcher throws and the algorithm classifies them into that number of clusters. From there I figure out which cluster corresponds to which pitch type.

by Michael Schatz on Oct 29, 2011 2:48 PM EDT up reply actions  

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