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September 15, 2006
Minor League Review, Part 1: Clinton LumberKings Hitters
The League: The Midwest League favors pitchers by a considerable margin. Run scoring was 12% lower than the American League, and the league’s aggregate batting line was just .253/.325/.365. Cedar Rapids’ Jordan Renz led the MWL with only 24 homers. The depressed offense is probably also a function of the players themselves. Even in their early twenties, most men haven’t completely filled out or attained peak physical strength. They just don’t hit as many homers as the big-leaguers.
Midwest League vs American League |
|
| Runs Scored | 12% lower |
| Runs Allowed | 9% lower |
| ERA | 18% lower |
| Batting Average | .022 lower |
| On-Base Percentage | .014 lower |
| Slugging Percentage | .071 lower |
| Walk Rate | 2% higher |
| Strikeout Rate | 16% higher |
Why is "runs scored" different than "runs allowed?" MLB's interleague play, in which the AL crushed the NL. Also, the Midwest League permits significantly more unearned runs than MLB (.36 runs per game).
The Park: According to data compiled by Dan Szymborski, Clinton’s Alliant Energy Field favored pitchers during 2003-2005. It favored hitters in 2006 per data I analyzed from minorleaguesplits.com. I’m using one-year park factors because I personally have only 2006 data. Also, the Field underwent substantial renovation in the offseason. The dimensions didn’t change, to my knowledge, but perhaps the upgrade affected game play.
Alliant Energy Field, 1-Year Park Factors |
|
| Runs | 1.08 |
| Average | 1.03 |
| On-Base Percentage | 1.01 |
| Slugging Percentage | 1.04 |
| Walks | 0.97 |
| Strikeouts | 1.04 |
The Team: Mike Hindman (known as “mjh” on the newbergreport.com message board) recently had some interesting observations about minor-league performance and the Rangers’ farm system. Texas has revamped its selection and development process twice in recent years. The organization currently emphasizes younger, high-risk high-reward players (or at least doesn’t favor college players) and pushes them quickly up the ladder. Also, players may be working on new batting styles, deliveries and pitches that result in (temporarily, one hopes) poor performances as measured conventionally. Statistics don’t matter that much at low levels, and won-loss records mean even less. If a couple of 2006 LumberKing alumni blossom into quality Major Leaguers, no one will care how many games the team won.
Thanks goodness for that, because… good gravy, what a dreadful bunch. Clinton went 45-96 on the season, never won four consecutive games but had seven losing streaks of at least five. The team finished 16-48, during which time it scored 3.5 runs per games and allowed 5.5. Kansas City and Tampa Bay are presently trailing the AL with an OPS+ of 89. Clinton’s was 85.
On Mayberry: To mixed reviews, Texas drafted John Mayberry Jr. nineteenth overall in 2005. At age 22 and with three years of college ball to his credit, he ought to be tearing up low-A, but his line of .268/.358/.479 is a bit underwhelming. That’s where the league and park discussion provides context. Using a typical Major League hitter as a comparison doesn’t work. Using the Clinton’s park-adjusted league average of .260/.330/.380 reveals that Mayberry batted well above average, especially for power. An isolated power index of 177 and walk index of 135 give hope.
Players are ranked in order of OPS+. Those with fewer than 100 at-bats aren’t listed.
| Player | POS |
G |
OPS |
OPS+ |
AVG |
AVG+ |
OBP |
OBP+ |
SLG |
SLG+ |
ISO |
ISO+ |
BB% |
BB%+ |
SO% |
SO%+ |
Net Steals |
| John Mayberry |
OF |
126 |
.838 |
135 |
.268 |
103 |
.358 |
108 |
.479 |
126 |
.211 |
177 |
11.4% |
135 |
20.3% |
92 |
3 |
| Grant Gerrard |
OF |
28 |
.775 |
119 |
.298 |
115 |
.371 |
112 |
.404 |
106 |
.106 |
89 |
9.6% |
113 |
18.1% |
103 |
0 |
| Terrance Blunt |
OF |
115 |
.709 |
101 |
.271 |
104 |
.355 |
108 |
.354 |
93 |
.083 |
70 |
11.0% |
131 |
13.8% |
136 |
-4 |
| Joseph Kemp |
P |
77 |
.709 |
99 |
.248 |
95 |
.316 |
96 |
.393 |
103 |
.145 |
122 |
7.1% |
84 |
20.1% |
93 |
-7 |
| Freddie Thon |
1B |
69 |
.710 |
99 |
.280 |
108 |
.308 |
93 |
.402 |
106 |
.122 |
103 |
3.7% |
44 |
13.0% |
144 |
-2 |
| Matt Smith |
SS |
124 |
.682 |
93 |
.267 |
103 |
.351 |
106 |
.330 |
87 |
.063 |
53 |
11.3% |
133 |
16.3% |
115 |
-6 |
| Brian Valichka |
C |
65 |
.666 |
87 |
.231 |
89 |
.299 |
91 |
.367 |
97 |
.136 |
114 |
7.1% |
85 |
17.2% |
108 |
0 |
| John Whittleman |
3B |
130 |
.657 |
85 |
.227 |
87 |
.313 |
95 |
.343 |
90 |
.116 |
97 |
11.4% |
135 |
17.2% |
108 |
-5 |
| Truan Mehl |
OF |
102 |
.619 |
74 |
.252 |
97 |
.280 |
85 |
.339 |
89 |
.087 |
73 |
4.0% |
48 |
14.4% |
130 |
5 |
| K.C. Herren |
OF |
87 |
.600 |
70 |
.221 |
85 |
.306 |
93 |
.294 |
77 |
.073 |
61 |
10.6% |
126 |
21.1% |
89 |
-9 |
| Benjamin Crabtree |
C |
62 |
.597 |
68 |
.245 |
94 |
.290 |
88 |
.306 |
81 |
.061 |
51 |
4.4% |
52 |
21.3% |
88 |
-1 |
| Ian Gac |
1B |
54 |
.583 |
62 |
.197 |
76 |
.227 |
69 |
.356 |
94 |
.159 |
134 |
3.7% |
44 |
28.3% |
66 |
-2 |
| Jose Vallejo |
SS |
127 |
.573 |
62 |
.234 |
90 |
.289 |
88 |
.284 |
75 |
.050 |
42 |
6.1% |
72 |
17.3% |
108 |
6 |
| David Peterson |
2B |
64 |
.548 |
55 |
.231 |
89 |
.269 |
82 |
.279 |
73 |
.048 |
40 |
4.6% |
54 |
17.1% |
109 |
-6 |
| TEAM TOTALS |
- |
139 |
.655 |
85 |
.243 |
93 |
.309 |
94 |
.346 |
91 |
.103 |
87 |
8.0% |
95 |
18.2% |
103 |
-26 |
| Park-Adjusted League Average | - |
- |
.710 |
- |
.260 |
- |
.330 |
- |
.380 |
- |
.119 |
- |
8.4% |
- |
18.7% |
- |
- |
A few notes about the stats: You know OPS+. All the other “+” figures are similarly calculated. 100 equals the park-adjusted league average, and higher is always better. As you’ll see, indexes for stats like slugging and isolated tend to vary among players much more than OBP or batting average.
The walk and strikeout rates aren’t 100% accurate. Right now, nobody has team stats for hit batters or sac flies, both of which are part of total plate appearances. So, at the moment, they only way to compare players to the league would be for me to hit the web page of every single player in the Midwest league and compile the totals myself. Folks, that’s not going to happen. So in this case, the walk rate equals [ walks / ( at-bats + walks ) ], and the same applies to the strikeout rate. Unless a player has an outrageous number of HBPs or SFs, the walk and strikeout rates shouldn’t be overstated by more than about 0.3%.
Net steals are simply ( SB – 2*CS ). This assumes a break-even rate of 66.7%. The break-even rate in the AL hovers around 70% but would be lower in the Midwest because of depressed offense (stealing is more viable is a low-scoring environment). Whatever the actual rate, I’m just using a simple formula.
Where are the pitchers? Next post.
Posted by Lucas at September 15, 2006 01:00 PM