Five Year PMR, Second Basemen

Type of Batted Ball
Hudson’s Index
Cano’s Index Ground
103.2
106.5* Line
125.8
112.6 Pop
131.5*
112.6
Here’s a afterpiece,1 look at Hudson and Cano:
So Hudson caught a lot of line drives and is a pop up hog. Cano’s ranking looks appealing,1 good, however. I don’t apperceive,1 if you can be lucky with line drives over a five year period. Maybe Orlando is absolutely,1 good at accession,1 himself.
*Highest
Individual second baseman PMR, 2006-2010, four constant,1 objective model built on visiting team abstracts,1. Fielder
In Play
Actual Outs
Predicted Outs
Actual DER
Predicted DER
Index Orlando Hudson
12946
2221
2031.8
0.172
0.157
109.3 Robinson Cano
14648
2415
2237.8
0.165
0.153
107.9 Mark Ellis
11955
2018
1894.1
0.169
0.158
106.5 Ian Kinsler
12629
2103
1976.6
0.167
0.157
106.4 Clint Barmes
5285
855
805.1
0.162
0.152
106.2 Jamey Carroll
6028
1000
943.2
0.166
0.156
106.0 Jose Lopez
11573
1878
1772.7
0.162
0.153
105.9 Chase Utley
14380
2270
2152.4
0.158
0.150
105.5 Adam Kennedy
7914
1276
1224.0
0.161
0.155
104.2 Dustin Pedroia
10181
1645
1588.2
0.162
0.156
103.6 Kazuo Matsui
7745
1207
1167.3
0.156
0.151
103.4 Placido Polanco
10775
1723
1683.6
0.160
0.156
102.3 Aaron Hill
12243
1968
1928.3
0.161
0.158
102.1 Howie Kendrick
8266
1375
1355.0
0.166
0.164
101.5 Josh Barfield
5445
879
874.1
0.161
0.161
100.6 Dan Uggla
15092
2318
2318.3
0.154
0.154
100.0 Rickie Weeks
10082
1457
1459.3
0.145
0.145
99.8 Brandon Phillips
14595
2213
2217.3
0.152
0.152
99.8 Kelly Johnson
9706
1474
1481.7
0.152
0.153
99.5 Felipe Lopez
5964
898
904.0
0.151
0.152
99.3 Aaron Miles
5054
754
767.0
0.149
0.152
98.3 Tadahito Iguchi
6725
1004
1030.2
0.149
0.153
97.5 Mark Grudzielanek
7038
1052
1085.3
0.149
0.154
96.9 Ronnie Belliard
7049
1025
1057.5
0.145
0.150
96.9 Luis Castillo
10720
1608
1668.0
0.150
0.156
96.4 Brian Roberts
13706
1945
2038.1
0.142
0.149
95.4 Ray Durham
6439
925
978.5
0.144
0.152
94.5 Freddy Sanchez
10154
1398
1483.3
0.138
0.146
94.2 Jeff Kent
6600
970
1043.5
0.147
0.158
93.0
I like that the peripatetic Orlando Hudson comes up at the top of this account,1. He played for three teams over these 5,1 seasons. I sometimes wonder if the way the archetypal,1 is congenital,1 makes fielders on able,1 offensive teams look good (like Robinson Cano). The Yankees forward,1 a number of good left-handed hitters to the plate, so if,1 a archetypal,1 is built for Yankee Stadium,http://www.editorialfise.com/fise/pg...ley-still-sore, one ability,1 apprehend,1 the ability for a second baseman to field a brawl,1 there is tougher than it may be in reality. Hudson, advancing,1 out top,1 on the list, playing for fairly anemic,1 offensive teams argues adjoin,1 that.
At the other end is an old Jeff Kent. Right smack in the middle,Wholesale Chicago White Sox Hats, however,NBA Snapback Hats, is Dan Uggla, who owns a acceptability,1 as a poor fielder. In actuality,1, there is a big alterity,1 here between the objective model and FanGraphs range run baronial,1. The latter puts Cano, Uggla and Orlando Hudson all abreast,cheap Rockstar Hats,1 the basal,cheap Famous stars Hats,1 of the list. This is fairly huge. Looking at Bill James Online, Hudson was abreast,1 the top in +/- in three of the five years.
Team second baseman PMR, 2006-2010, four parameter objective model built on visiting team data. Team
In Play
Actual Outs
Predicted Outs
Actual DER
Predicted DER
Index NYA
16081
2674
2462.3
0.166
0.153
108.6 COL
17011
2796
2590.3
0.164
0.152
107.9 ARI
16276
2672
2498.8
0.164
0.154
106.9 PHI
16614
2596
2481.2
0.156
0.149
104.6 TEX
16691
2721
2611.7
0.163
0.156
104.2 OAK
16203
2653
2563.1
0.164
0.158
103.5 TOR
16418
2663
2590.4
0.162
0.158
102.8 CLE
16901
2687
2616.5
0.159
0.155
102.7 NYN
16069
2476
2428.2
0.154
0.151
102.0 HOU
15999
2467
2427.4
0.154
0.152
101.6 BOS
15779
2509
2478.1
0.159
0.157
101.2 SEA
16591
2562
2531.3
0.154
0.153
101.2 ATL
16587
2585
2554.0
0.156
0.154
101.2 MIL
16105
2373
2351.5
0.147
0.146
100.9 FLO
16105
2493
2474.4
0.155
0.154
100.8 LAN
16188
2573
2555.3
0.159
0.158
100.7 WAS
16839
2518
2517.7
0.150
0.150
100.0 ANA
15624
2549
2554.1
0.163
0.163
99.8 DET
16562
2593
2598.1
0.157
0.157
99.8 MIN
16082
2630
2635.0
0.164
0.164
99.8 CIN
16377
2478
2484.3
0.151
0.152
99.7 CHA
16459
2541
2552.9
0.154
0.155
99.5 CHN
15242
2340
2379.5
0.154
0.156
98.3 SFN
15403
2308
2360.4
0.150
0.153
97.8 SLN
17217
2555
2620.3
0.148
0.152
97.5 TBA
15843
2408
2472.2
0.152
0.156
97.4 BAL
17338
2474
2573.4
0.143
0.148
96.1 SDN
16048
2442
2566.9
0.152
0.160
95.1 KCA
16381
2448
2575.9
0.149
0.157
95.0 PIT
16877
2218
2472.8
0.131
0.147
89.7
The Yankees boss,1 this list, while I’m not afraid,Montreal Expos Hats,1 the Royals, a actual,1 poor defensive team, appear,1 up near the bottom. The Giants,wholesale Florida Marlins Hats, who like to play,1 veterans, tend toward the bottom as able-bodied,1. Next, the individual players,Cheap Players Authentic Hats, the regulars and semi regulars:
My five-year analysis,1 of fielders application,1 cold,1 PMR continues with second basemen. (You can find all Probabilistic Model of Range posts actuality,1.) We start with the blended,1 aggregation,1 view: