Sunday, January 19, 2014

John Buck Annotated Stats Analysis Page

John Buck Four-Stage Drill-Down Stats Analysis

Ratio Analysis


Why these stats?  To determine the pattern-template where the hitter fits.


  • The interplay of these five ratios helps identify the “type” of hitter.
  • Each of the five major plate outcomes is measured as a percentage of plate appearances.
  • Ted Williams: good at everything.  Note how only very accomplished hitters (Williams; Edgar Martinez) produce both above-average extra-base hits (XBH) and above-average singles.
  • The “modern slugger” strikes out a bunch but slugs and walks (Reggie Jackson prototype).
  • The “plate skills technician” owns the plate, but doesn’t hit the ball hard very often; relying more on singles (Rod Carew prototype).
  • The “random moon-shot guy” whose only real value is a high HR-rate (Miguel Olivo).
  • And the “pretty much average” guy (David Bell; though Bell was good at avoiding strikeouts, adding to his value).
  • The “+” columns set the 10-year MLB average at 100, and are not park-adjusted.




HR%
K%
BB%
XBH%
S%

HR%+
K%+
BB%+
XBH%+
S%+
10-year MLB average
2.7%
18%
8.4%
7.8%
15.5%






The Ultimate











Ted Williams
5.3%
7.2%
20.7%
11.4%
15.7%

199
160
247
146
101
Modern Slugger











Reggie Jackson
4.9%
22.7%
12%
9.4%
13.2%

184
74
143
120
85
Plate Skills Technician











Rod Carew
0.9%
9.7%
9.7%
6.2%
22.8%

34
146
116
79
147
Roid Rage











Mark McGwire 92-99
9%
21.2%
19.6%
12.5%
9.7%

338
82
234
160
63












Mariner Benchmarks











Ken Griffey Jr.
5.6%
15.7%
11.6%
10.5%
14.1%

211
113
138
134
91
Edgar Martinez
3.6%
13.9%
14.8%
9.7%
16.2%

135
123
177
124
105
Ichiro
1.2%
9.4%
5.9%
5.6%
24.0%

45
148
70
72
155
Raul Ibanez
3.8%
16.4%
8.5%
9.6%
15.4%

143
109
101
123
99
David Bell
2.3%
12.8%
8%
7.6%
15.5%

86
129
95
97
100
Miguel Olivo
3.7%
26.4%
4%
8.7%
13.9%

139
53
48
111
90
Willie Bloomquist
0.6%
15.4%
6.3%
4.9%
20.1%

23
114
75
63
129

John Buck -- above 10-year MLB average shaded

HR%
K%
BB%
XBH%
S%

HR%+
K%+
BB%+
XBH%+
S%+
1998 -- minors
2.11%
15.49%
9.15%
8.45%
16.90%

78
114
109
108
109
1999 -- minors
1.08%
18.35%
9.71%
7.55%
13.31%

40
98
116
97
86
2000 -- minors
2.20%
17.80%
12.09%
9.45%
14.73%

81
101
144
121
95
2001 -- minors
4.42%
16.87%
7.43%
9.44%
15.06%

164
106
88
121
97
2002 -- minors
2.43%
18.83%
6.28%
8.91%
14.98%

90
95
75
114
97
2003 -- minors
0.68%
18.09%
4.78%
7.51%
16.38%

25
100
57
96
106
2004 -- minors
4.72%
15.35%
8.27%
9.06%
17.72%

175
115
98
116
114
2004
4.65%
30.62%
5.81%
8.14%
13.57%

172
30
69
104
88
2005
2.79%
21.86%
5.35%
7.91%
14.65%

103
79
64
101
95
2006
2.69%
20.54%
6.36%
8.07%
14.18%

100
86
76
103
91
2007
4.51%
23.06%
9.02%
9.02%
10.28%

167
72
107
116
66
2008
2.15%
22.97%
9.09%
7.89%
11.96%

80
72
108
101
77
2009
3.96%
27.23%
6.44%
11.88%
10.89%

147
49
77
152
70
2010
4.58%
25.40%
3.66%
10.30%
16.02%

170
59
44
132
103
2011
3.02%
21.70%
10.19%
6.04%
13.96%

112
79
121
77
90
2012
3.02%
25.88%
12.31%
7.04%
9.55%

112
56
147
90
62
2013
3.48%
24.13%
6.73%
6.03%
13.92%

129
66
80
77
90



Overall “Plate Value” Analysis


Why these stats?  To give a rough evaluation of overall value, taking strikeouts into account.


  • Generally, I dislike “one number” stats that try to “put everything” into one stat.  But I invented one of my own anyway as a “quick overview” (as opposed to be-all, end-all).  I call it Plate Value Index.  I like it better than the alternatives because it takes into account the negative value of strikeouts, and also identifies [negatively] hitters dependent on high BABIP (batting average on balls in play) for success.
  • “Non-single OBP” is OBP with singles excluded.  ISO is SLG with singles excluded.  So “non-single OPS” is NSOBP + ISO, or the value of offense from XBH + BB.
  • I then subtract K-rate (K/PA) to get PVI.
  • The 10-year PVI average is .147.  So PVI+ re-scales the PVI with .147 = 100.
  • This stat allows a rough-and-ready means to compare hitters of different types.  Junior and Edgar = both good.  Olivo and Bloomquist = both bad.
  • One type of hitter that does not fare well on this measure is the hitter dependent on singles (Carew, Ichiro).  Those hitters are dependent on maintaining high BABIP, which, in fact, Carew and Ichiro did. But not everyone will.
  • Once again, the “+” columns are based on the 10-year MLB average, and are not park-adjusted.





NSOBP
ISO
NSOPS
PVI

NSOBP+
ISO+
NSOPS+
PVI+
10-year MLB average
0.174
0.153
0.326
0.147





The Ultimate









Ted Williams
0.325
0.29
0.615
0.543

187
190
189
369
Modern Slugger









Reggie Jackson
0.224
0.228
0.452
0.224

129
149
139
153
Plate Skills Technician









Rod Carew
0.165
0.101
0.266
0.169

95
66
82
115
Roid Rage









Mark McGwire 92-99
0.333
0.39
0.723
0.511

191
255
222
348










Mariner Benchmarks









Ken Griffey Jr.
0.229
0.254
0.483
0.326

132
166
148
222
Edgar Martinez
0.256
0.203
0.459
0.320

147
133
141
218
Ichiro
0.121
0.095
0.216
0.122

70
62
66
83
Raul Ibanez
0.184
0.195
0.379
0.215

106
127
116
146
David Bell
0.166
0.139
0.305
0.177

95
91
93
120
Miguel Olivo
0.136
0.176
0.312
0.048

78
115
96
32
Willie Bloomquist
0.119
0.075
0.194
0.041

69
49
60
28


John Buck -- above 10-year MLB average shaded

NSOBP
ISO
NSOPS
PVI

NSOBP+
ISO+
NSOPS+
PVI+
1998 -- minors
0.193
0.143
0.336
0.181

111
93
103
123
1999 -- minors
0.192
0.111
0.303
0.119

110
73
93
81
2000 -- minors
0.227
0.162
0.389
0.211

130
106
119
143
2001 -- minors
0.194
0.208
0.402
0.234

112
136
123
159
2002 -- minors
0.164
0.159
0.323
0.135

94
104
99
92
2003 -- minors
0.137
0.103
0.240
0.059

79
67
74
40
2004 -- minors
0.191
0.207
0.398
0.244

110
135
122
166
2004
0.144
0.189
0.333
0.027

83
124
102
18
2005
0.140
0.147
0.287
0.069

81
96
88
47
2006
0.164
0.151
0.315
0.110

94
99
97
75
2007
0.205
0.207
0.412
0.182

118
135
126
124
2008
0.184
0.141
0.325
0.096

106
92
100
65
2009
0.190
0.237
0.427
0.155

109
155
131
105
2010
0.154
0.208
0.362
0.108

88
136
111
73
2011
0.176
0.140
0.316
0.099

101
92
97
68
2012
0.202
0.155
0.357
0.098

116
101
109
66
2013
0.146
0.143
0.289
0.047

84
93
89
32



Plate Skills (On-Base) Analysis


Why these stats?  To assess ability to reach base and avoid outs.


  • The two main parts of the game are “getting on base” (avoiding outs) and “producing offense” (leading to runs), which combine into the “OBP” and “SLG” parts of OPS.
  • For this first part, I look at OBP and non-singles OBP (from XBH + BB).
  • I also invented a stat I call “Plate Skills Advantage,” which is an arbitrary number where zero indicates an OBP roughly equal to BABIP.  A hitter makes his OBP higher than BABIP by walking and by hitting the ball hard or over the fence; lower, by striking out instead of putting the ball in play.  In this measure, a walk and a HR are worth the same (+.702), because they both result in a plate appearance with an “OBP” of 1.000 (thus a “+” over 10-year average BABIP [which is .298] of .702).  A strikeout is -.298 since it drops the “OBP” of that plate appearance from .298 to .000.
  • Finally, it is important to determine a hitter’s “normal” BABIP.  Although a lot of variation is BABIP is random, each hitter, I believe, has a “center of gravity” for BABIP.  Although it helps to be a left-handed hitter with speed (Ichiro), it also helps to consistently hit the ball hard (Edgar Martinez, Ted Williams).
  • Once again, the “+” columns are based on the 10-year MLB average, and are not park-adjusted.





OBP
NSOBP
PSA
BABIP

OBP+
NSOBP+
BABIP+
10-year MLB average
0.329
0.174
0
0.298




The Ultimate








Ted Williams
0.482
0.325
+13.9
0.328

147
187
110
Modern Slugger








Reggie Jackson
0.356
0.224
+2.6
0.298

108
129
100
Plate Skills Technician








Rod Carew
0.393
0.165
+2.1
0.359

119
95
120
Roid Rage








Mark McGwire 92-99
0.430
0.333
+11.0
0.270

131
191
91









Mariner Benchmarks








Ken Griffey Jr.
0.370
0.229
+4.9
0.287

112
132
96
Edgar Martinez
0.418
0.256
+6.6
0.335

127
147
112
Ichiro
0.361
0.121
-0.4
0.344

110
70
115
Raul Ibanez
0.338
0.184
+1.5
0.298

103
106
100
David Bell
0.320
0.166
+1.0
0.274

97
95
92
Miguel Olivo
0.275
0.136
-4.9
0.294

84
78
99
Willie Bloomquist
0.320
0.119
-2.4
0.319

97
68
107


John Buck -- above 10-year MLB average shaded

OBP
NSOBP
PSA
BABIP

OBP+
NSOBP+
BABIP+
1998 -- minors
0.362
0.193
1.17


110
111

1999 -- minors
0.325
0.192
0.02


99
110

2000 -- minors
0.374
0.227
2.80


114
130

2001 -- minors
0.345
0.194
0.88


105
112

2002 -- minors
0.314
0.164
-1.59


95
94

2003 -- minors
0.301
0.137
-3.57


91
79

2004 -- minors
0.368
0.191
1.98


112
110

2004
0.280
0.144
-4.53
0.297

85
83
100
2005
0.287
0.140
-3.19
0.286

87
81
96
2006
0.306
0.164
-2.10
0.289

93
94
97
2007
0.308
0.205
0.10
0.243

94
118
82
2008
0.304
0.184
-1.21
0.275

92
106
92
2009
0.299
0.190
-2.59
0.306

91
109
103
2010
0.314
0.154
-4.05
0.335

95
88
112
2011
0.316
0.176
-0.05
0.268

96
101
90
2012
0.297
0.202
0.41
0.235

90
116
79
2013
0.285
0.146
-2.99
0.258

87
84
87




Plate Production (Slugging) Analysis


Why these stats? To assess ability to produce offense, and, therefore, runs.


  • The second half of the offensive analysis is “production.”
  • SLG and ISO (SLG - BA) are generally well-known.
  • HR/FB (HR per fly ball) is similar to BABIP in that it is subject to fluctuation, but each hitter has a “natural” gravitation point.  The difference between Miguel Olivo’s 11.6% and Willie Bloomquist’s 1.7% is not random.
  • I also invented a “summary” stat for production, which I have named “.900 Conversion Rate.”  I explained this concept in depth in a post called the “Allegory of the Window.”  The idea is to assess how “plausible” it is for a hitter to be a strong offensive contributor.  It is a measure of how many “regular” (sometimes I say “random-y”) balls in play a hitter needs to “convert” into singles in order to reach a .900 OPS, once his actual HR, non-HR XBH, walks and strikeouts are taken into account.  The lower the “conversion rate,” the more “plausible” it is for a hitter to be a contributor.  [You will note, however, that some hitters, like Carew and Ichiro, can reach “implausible” numbers of singles.  Most can’t.]
  • Once again, the “+” columns are based on the 10-year MLB average, and are not park-adjusted.



SLG
ISO
HR/FB
900Conv

SLG+
ISO+
HR/FB+
Conv+
10-year MLB average
0.414
0.153
7.70%
0.370





The Ultimate









Ted Williams
0.634
0.29

0.106

153
190

171
Modern Slugger









Reggie Jackson
0.49
0.228

0.298

118
149

120
Plate Skills Technician









Rod Carew
0.429
0.101

0.370

104
66

100
Roid Rage









Mark McGwire 92-99
0.674
0.39
25.8%
0.028

163
255
335
192










Mariner Benchmarks









Ken Griffey Jr.
0.538
0.254
14.6%
0.233

130
166
190
137
Edgar Martinez
0.515
0.203
9.8%
0.255

124
133
127
131
Ichiro
0.414
0.095
3.7%
0.390

100
62
48
95
Raul Ibanez
0.471
0.195
9.9%
0.309

114
127
129
117
David Bell
0.396
0.139
5.7%
0.355

96
91
74
104
Miguel Olivo
0.417
0.176
11.6%
0.413

101
115
151
88
Willie Bloomquist
0.346
0.075
1.7%
0.442

84
49
22
81


John Buck -- above 10-year MLB average shaded

SLG
ISO
HR/FB
900Conv

SLG+
ISO+
HR/FB+
Conv+
1998 -- minors
0.429
0.143

0.353

104
93

105
1999 -- minors
0.35
0.111

0.402

85
73

91
2000 -- minors
0.444
0.162

0.326

107
106

112
2001 -- minors
0.483
0.208

0.314

117
136

115
2002 -- minors
0.422
0.159

0.371

102
104

100
2003 -- minors
0.358
0.103

0.423

86
67

86
2004 -- minors
0.507
0.207

0.304

122
135

118
2004
0.424
0.189
15.6%
0.433

102
124
203
83
2005
0.389
0.147
7.6%
0.407

94
96
99
90
2006
0.396
0.151
8.1%
0.395

96
99
105
93
2007
0.429
0.207
14.0%
0.346

104
135
182
106
2008
0.365
0.141
6.3%
0.408

88
92
82
90
2009
0.484
0.237
11.9%
0.318

117
155
155
114
2010
0.489
0.208
12.4%
0.370

118
136
161
100
2011
0.367
0.14
9.2%
0.412

89
92
119
89
2012
0.347
0.155
10.2%
0.409

84
101
132
90
2013
0.362
0.143
10.9%
0.441

87
93
142
81


Bottom line:  From 2004-2010 Buck had a real chance to become an impact offensive player from the catching position.  He didn't quite make it.  That window appears to be closed, but he still has the elements of being an interesting role player.  He should display occasional power, and he has the potential to draw a decent number of walks.  If he can get his share of singles to fall in, he could put up some surprising numbers.