(Photo by Scott Winters/Icon Sportswire)
In the depths of Statcast are a handful of statistics that are tracked, but not displayed prominently. A few such are pitch acceleration metrics, measured at the point of release in three directions. These statistics measure how a pitch should move in the air due to the forces of drag, Magnus effect, and gravity.
A pitch with high acceleration in air intuitively should be harder to hit than one that is flat. To calculate the sum of acceleration of a pitch in three dimensions, it can be represented as the magnitude of a 3D vector (√ax2 + ay2 + az2). As results tend to cluster around the same baselines for average acceleration on each pitch type, scores for each pitch are represented by its percentile among other pitches of the same type. Pitchers are given an overall score of the average percentile of each pitch they throw.
Firstly, it is important to establish that acceleration percentiles (ACC%) are repeatable year to year to show that pitchers have influence over the effects of acceleration in air. The samples used were pitchers who threw at least 50 innings between 2016-17 (227 pitchers) and 2017-18 (120), as Statcast data past 2015 is more reliable.
Year | r2 of ACC% with itself year+1 |
2016 | 0.516 |
2017 | 0.791 |
In the same sample, these correlations compare similarly to groundball rate allowed and better than strikeout and walk rates, all three well established repeatable skills. The 2017-18 r2 was likely higher because almost all pitchers to throw at least 50 innings in 2017 and 2018 so far were starting pitchers who had higher innings totals to stabilize. ACC% also shows some predictive value in pitcher performance on batted balls:
Statistic | 2016 r2 with wOBA allowed on batted balls year+1 | 2017 r2 with wOBA allowed on batted balls year+1 |
ACC% | 0.0264 | 0.028 |
GB% | 0.0187 | 0.025 |
HR% | 0.0176 | 0.01 |
In both time frames, ACC% performed slightly better than GB% in predicting pitcher wOBA on batted balls. Pitchers with high acceleration percentiles tended to allow weaker contact. While still not the strongest correlation, batted ball results are the most confounding element of pitching to project. ACC% should be used in conjunction with GB% in understanding how a pitcher may have the ability to suppress contact.
I tested other relationships between ACC% and several statistics such as K% and BABIP and found some other modest correlations, but the most unique value compared to existing statistics came in evaluating batted ball profiles. Another possible application could be noting that a sharp drop in ACC% may indicate a pitcher is injured or has a mechanical issue.
The following are the 2018 leaders among qualified SP and RP. Of course there are some good pitchers who succeed with low acceleration and some mediocre pitchers who remain middling despite high acceleration. ACC% still provides a unique insight to pitcher ability that appears to be at least equal to and possibly more than the value that GB% provides.
Chris Sale’s score of 0.96 means that his average pitch is in the 96th percentile of acceleration adjusted for type. While 0.5 is average, starting pitchers tend to score slightly lower than relief pitchers.
SP Leaders
RP Leaders
Rank | Player | ACC% |
1 | Aaron Loup | 0.91 |
2 | Brad Hand | 0.90 |
3 | Jared Hughes | 0.87 |
4 | Joe Kelly | 0.86 |
5 | T.J. McFarland | 0.86 |
6 | Brandon Morrow | 0.85 |
7 | Jordan Hicks | 0.85 |
8 | Blake Treinen | 0.85 |
9 | Trevor Hildenberger | 0.84 |
10 | Brad Ziegler | 0.83 |
11 | Tayron Guerrero | 0.83 |
12 | Alex Claudio | 0.83 |
13 | Buck Farmer | 0.82 |
14 | Felipe Vazquez | 0.82 |
15 | Hector Rondon | 0.82 |
16 | Matt Barnes | 0.81 |
17 | Hector Neris | 0.80 |
18 | Joe Jimenez | 0.79 |
19 | Chaz Roe | 0.79 |
20 | Adam Cimber | 0.78 |
21 | Aroldis Chapman | 0.78 |
22 | Mychal Givens | 0.77 |
23 | Taylor Williams | 0.77 |
24 | Miguel Castro | 0.77 |
25 | Arodys Vizcaino | 0.77 |
26 | Justin Anderson | 0.76 |
27 | Craig Kimbrel | 0.76 |
28 | Steve Cishek | 0.76 |
29 | Kirby Yates | 0.76 |
30 | Adam Ottavino | 0.76 |
31 | Zach McAllister | 0.75 |
32 | Richard Rodriguez | 0.75 |
33 | Ryan Tepera | 0.75 |
34 | Lou Trivino | 0.75 |
35 | Seranthony Dominguez | 0.75 |
36 | Jacob Barnes | 0.75 |
37 | Jeurys Familia | 0.74 |
38 | Chris Devenski | 0.74 |
39 | Raisel Iglesias | 0.74 |
40 | Sam Dyson | 0.73 |
41 | Ken Giles | 0.73 |
42 | Collin McHugh | 0.72 |
43 | Austin Brice | 0.72 |
44 | Jorge De La Rosa | 0.71 |
45 | Ryan Madson | 0.71 |
46 | Danny Barnes | 0.71 |
47 | Will Harris | 0.71 |
48 | Jake Diekman | 0.70 |
49 | Hansel Robles | 0.69 |
50 | Scott Alexander | 0.69 |
51 | Amir Garrett | 0.69 |
52 | Bruce Rondon | 0.69 |
53 | Edwin Diaz | 0.68 |
54 | Steven Brault | 0.68 |
55 | Jace Fry | 0.68 |
56 | Mike Mayers | 0.67 |
57 | Kelvin Herrera | 0.67 |
58 | Jeremy Jeffress | 0.67 |
59 | Bryan Shaw | 0.66 |
60 | Paul Sewald | 0.66 |
61 | Edubray Ramos | 0.66 |
62 | Hunter Strickland | 0.66 |
63 | Matt Albers | 0.66 |
64 | Kyle Crick | 0.66 |
65 | Seth Lugo | 0.66 |
66 | Alex Colome | 0.66 |
67 | Cory Gearrin | 0.64 |
68 | Shane Greene | 0.64 |
69 | Robert Gsellman | 0.64 |
70 | Edgar Santana | 0.64 |
71 | Dan Otero | 0.64 |
72 | Zach Duke | 0.63 |
73 | Kevin McCarthy | 0.63 |
74 | Tyler Glasnow | 0.62 |
75 | Dan Jennings | 0.62 |
76 | Wandy Peralta | 0.62 |
77 | Warwick Saupold | 0.62 |
78 | Taylor Rogers | 0.62 |
79 | Brad Peacock | 0.62 |
80 | Brad Brach | 0.61 |
81 | Jesse Biddle | 0.60 |
82 | Tony Watson | 0.60 |
83 | Dylan Floro | 0.60 |
84 | Cam Bedrosian | 0.60 |
85 | Matt Andriese | 0.59 |
86 | Sam Tuivailala | 0.59 |
87 | Archie Bradley | 0.59 |
88 | Pierce Johnson | 0.59 |
89 | John Brebbia | 0.58 |
90 | Bud Norris | 0.58 |
91 | Ryan Pressly | 0.58 |
92 | Dellin Betances | 0.58 |
93 | Shane Carle | 0.57 |
94 | Jose Alvarado | 0.57 |
95 | Drew Steckenrider | 0.56 |
96 | Richard Bleier | 0.56 |
97 | David Robertson | 0.55 |
98 | Andrew Chafin | 0.55 |
99 | Kyle Barraclough | 0.55 |
100 | A.J. Minter | 0.55 |
101 | Chad Green | 0.54 |
102 | Tommy Hunter | 0.54 |
103 | John Axford | 0.54 |
104 | Santiago Casilla | 0.54 |
105 | Jake McGee | 0.53 |
106 | Chris Beck | 0.53 |
107 | Chasen Shreve | 0.52 |
108 | Reyes Moronta | 0.52 |
109 | Cody Allen | 0.52 |
110 | Jesse Chavez | 0.51 |
111 | Matt Magill | 0.51 |
112 | Heath Hembree | 0.51 |
113 | Josh Hader | 0.51 |
114 | Mike Wright | 0.51 |
115 | Pedro Strop | 0.49 |
116 | Craig Stammen | 0.48 |
117 | Chasen Bradford | 0.48 |
118 | Matt Grace | 0.48 |
119 | Burch Smith | 0.48 |
120 | Daniel Hudson | 0.47 |
121 | Chris Volstad | 0.46 |
122 | Sergio Romo | 0.46 |
123 | Hector Velazquez | 0.46 |
124 | Ryan Yarbrough | 0.46 |
125 | Chris Rusin | 0.45 |
126 | Austin Pruitt | 0.45 |
127 | Brandon Kintzler | 0.45 |
128 | Jonathan Holder | 0.45 |
129 | Jim Johnson | 0.44 |
130 | Seung Hwan Oh | 0.44 |
131 | Pedro Araujo | 0.44 |
132 | Josh Fields | 0.43 |
133 | Jose Leclerc | 0.43 |
134 | Yoshihisa Hirano | 0.43 |
135 | Jose Alvarez | 0.43 |
136 | Juan Nicasio | 0.43 |
137 | Blake Parker | 0.42 |
138 | Noe Ramirez | 0.40 |
139 | Fernando Rodney | 0.40 |
140 | Keone Kela | 0.39 |
141 | James Pazos | 0.39 |
142 | Joakim Soria | 0.39 |
143 | Brian Flynn | 0.37 |
144 | Sammy Solis | 0.37 |
145 | Erik Goeddel | 0.36 |
146 | Emilio Pagan | 0.36 |
147 | Justin Wilson | 0.36 |
148 | Dan Winkler | 0.36 |
149 | Brian Johnson | 0.35 |
150 | Wade Davis | 0.34 |
151 | Michael Feliz | 0.34 |
152 | Sam Freeman | 0.34 |
153 | Brad Boxberger | 0.32 |
154 | Victor Arano | 0.31 |
155 | David Hernandez | 0.30 |
156 | Robbie Erlin | 0.30 |
157 | Chris Hatcher | 0.29 |
158 | Michael Lorenzen | 0.28 |
159 | Kenley Jansen | 0.26 |
160 | Addison Reed | 0.25 |
161 | Pedro Baez | 0.25 |
162 | Tyler Clippard | 0.23 |
163 | Sean Doolittle | 0.20 |
164 | Alex Wilson | 0.17 |
165 | Hector Santiago | 0.16 |
166 | Fernando Salas | 0.14 |
167 | Yusmeiro Petit | 0.06 |