Candy Jim Taylor - Seamheads Negro Leagues Database

Candy Jim Taylor



James Allen Taylor
(Uncle Jim; The Candy Kid)

Born: February 1, 1884 in Anderson, SC
Died: April 3, 1948 in Chicago, IL
          (64 years old)

Bats: R
Throws: R
Ht: 5'5"
Wt: 165
Biographical
Wikipedia BR Bullpen SABR BioProject SABR Index
Photos & Videos
Google Photos / + Baseball Yahoo Photos / + Baseball MLB.com YouTube

Notes:


• Buried: Burr Oak Cemetery (Alsip, IL)
• Relatives: Ben Taylor (Brother) , C. I. Taylor (Brother) , Steel Arm Johnny Taylor (Brother)
• Visit Manager Page


Batting

Multi-Stint Seasons:



Glossary
Basic Batting
Team Lg Pos
BG
SOU
23
3B
3
13
12
1
2
0
0
0
0
0
1
0
0
.167
.231
.167
.397
31
BG
SOU
24
3B
6
24
21
2
3
0
0
0
0
2
0
3
0
.143
.250
.143
.393
93
SPG
WES
25
3B
6
27
23
6
8
1
1
0
2
1
2
0
2
.348
.400
.478
.878
177
WES
26
3B
6
25
22
1
4
0
0
0
0
3
0
1
2
.182
.217
.182
.399
24
SLG
WES
27
3B
11
48
41
9
13
3
0
2
11
2
6
0
1
.317
.404
.537
.941
173
WES
28
3B
28
124
115
15
29
3
0
0
15
0
7
0
2
.252
.295
.278
.573
69
MULT
29
3B
56
237
216
30
66
11
2
0
29
4
14
1
6
.306
.351
.375
.726
103
ABC
WES
30
3B
60
256
221
45
64
8
7
7
43
29
24
6
5
.290
.375
.484
.859
143
MULT
WES
31
3B
18
79
76
11
24
7
0
0
9
4
3
0
0
.316
.342
.408
.750
141
RP
FHL
31
SS
2
7
6
0
0
0
0
0
0
0
1
0
0
.000
.143
.000
.143
-55
ABC
WES
32
3B
41
163
143
31
43
7
3
0
21
13
0
12
2
1
7
.301
.359
.392
.751
119
ABC
WES
33
3B
58
245
214
28
58
14
2
0
33
9
1
21
1
2
8
.271
.342
.355
.697
125
WES
34
2B
33
132
115
10
27
3
0
1
16
1
13
1
3
.235
.318
.287
.605
70
DM/DS
WES
35
3B
28
119
103
13
25
5
0
0
11
4
12
1
3
.243
.328
.291
.619
74
DM
NNL
36
3B
41
160
140
25
33
7
1
0
15
13
17
0
3
.236
.318
.300
.618
85
CTS
WES
37
3B
42
175
155
27
44
6
1
0
13
6
14
2
4
.284
.351
.335
.686
89
CTS
38
3B
49
191
165
27
39
9
2
1
22
3
19
0
0
7
.236
.315
.333
.649
67
NNL
39
3B
61
244
215
49
80
7
3
20
76
4
25
0
4
.372
.438
.712
1.149
184
SLS
NNL
40
3B
42
135
123
16
41
8
0
1
18
7
10
2
.333
.383
.423
.806
109
SLS
41
3B
39
53
46
3
12
0
0
2
12
4
4
3
.261
.320
.391
.711
79
SLS
44
3B
21
26
25
1
8
0
0
0
3
0
0
0
0
0
1
.320
.320
.320
.640
66
NN2
49
3B
7
11
10
0
5
1
0
0
3
0
1
0
0
.500
.545
.600
1.145
214
NEG
NN2
50
-
3
3
3
0
1
1
0
0
0
0
0
0
0
.333
.333
.667
1.000
171
CEG
NN2
51
RP
6
5
5
1
3
0
0
0
0
0
0
0
0
.600
.600
.600
1.200
195
WEG
NN2
52
-
2
2
2
0
1
0
0
0
1
0
0
0
0
.500
.500
.500
1.000
163
CAG
NAL
53
PH
1
1
0
0
0
0
0
0
0
0
1
0
0
1.000
BBB
NAL
56
-
2
2
2
0
0
0
0
0
0
0
0
0
.000
.000
.000
.000
-100
CAG
NAL
58
-
1
1
1
0
0
0
0
0
1
0
0
0
.000
.000
.000
.000
-100
27
17
3B
673
2508
2220
351
633
101
22
34
354
109
1
207
3
18
63
.285
.351
.396
.747
110
162 Game Average
604
534
84
152
24
5
8
85
35
18
50
32
5
15
.285
.351
.396
.747
110
 
Team Lg Pos
27
Negro Leagues
665
2475
2191
349
625
101
22
34
352
108
1
204
3
18
62
.285
.351
.398
.749
111
1
vs High Minors
5
22
18
0
6
0
0
0
1
1
3
0
1
.333
.429
.333
.762
120
2
vs Major Leagues
3
11
11
2
2
0
0
0
1
0
0
0
0
0
.182
.182
.182
.364
-0
 
Team Lg Pos
2
Birmingham Giants
3B
9
37
33
3
5
0
0
0
0
2
1
3
0
.152
.243
.152
.395
71
2
St. Paul Gophers
3B
11
48
41
7
12
1
1
0
2
4
2
1
4
.293
.341
.366
.707
122
1
Chicago Giants
-
1
4
4
0
0
0
0
0
0
0
0
0
0
.000
.000
.000
.000
-100
5
St. Louis Stars I
3B
153
415
375
61
122
14
2
20
90
15
0
30
0
0
10
.325
.375
.533
.909
133
3
West Baden Sprudels
2B
6
25
25
1
6
1
0
0
2
0
0
0
0
.240
.240
.280
.520
56
4
Chicago American Giants
3B
81
342
311
44
90
14
2
0
44
4
22
1
8
.289
.338
.347
.686
94
4
Indianapolis ABCs I
3B
191
791
689
114
191
32
12
8
113
52
1
69
3
10
23
.277
.352
.393
.745
120
1
Chicago Black Sox
3B
5
24
22
2
5
1
0
0
3
2
2
0
0
.227
.292
.273
.564
81
1
Louisville White Sox
3B
12
51
50
9
18
5
0
0
5
2
1
0
0
.360
.373
.460
.833
167
1
Royal Poinciana Hotel
-
2
7
6
0
0
0
0
0
0
0
1
0
0
.000
.143
.000
.143
-55
3
Dayton Marcos
3B
60
241
213
33
51
10
1
0
22
17
23
1
4
.239
.316
.296
.612
80
1
Detroit Stars I
3B
10
43
34
5
8
2
0
0
4
0
7
0
2
.235
.366
.294
.660
86
2
Cleveland Tate Stars
3B
91
366
320
54
83
15
3
1
35
9
33
0
2
11
.259
.332
.334
.667
78
1
Toledo Tigers
3B
21
91
75
17
32
4
1
5
30
2
15
0
1
.427
.522
.707
1.229
206
1
Indianapolis ABCs II
3B
6
10
9
0
5
1
0
0
3
0
1
0
0
.556
.600
.667
1.267
247
4
Baltimore Elite Giants
-
12
11
11
1
5
1
0
0
1
0
0
0
0
.455
.455
.545
1.000
156
1
Birmingham Black Barons
-
2
2
2
0
0
0
0
0
0
0
0
0
.000
.000
.000
.000
-100



Advanced Batting
Team Lg LG LG LG LG LG LG
BG
SOU
13
.209
.296
7.7%
3.2%
0.0%
0.0%
.000
.023
BG
SOU
24
.218
.214
0.0%
3.2%
0.0%
0.0%
.000
.026
SPG
WES
27
.381
.298
7.4%
6.4%
0.0%
0.6%
.130
.079
WES
25
.180
.296
0.0%
6.4%
0.0%
0.8%
.000
.088
SLG
WES
48
.419
.313
12.5%
7.1%
4.2%
0.8%
.220
.099
WES
124
.275
.316
5.6%
6.9%
0.0%
0.5%
.026
.083
MULT
237
.334
.327
5.9%
6.4%
0.0%
0.6%
.069
.094
ABC
WES
256
.389
.326
9.4%
8.1%
2.7%
0.9%
.195
.101
MULT
WES
79
.363
.303
3.8%
8.3%
0.0%
0.7%
.092
.075
RP
FHL
7
.109
.313
14.3%
9.1%
0.0%
0.5%
.000
.051
ABC
WES
163
.354
.333
7.4%
9.0%
1.2%
1.8%
6.00
4.99
0.0%
0.4%
.091
.077
ABC
WES
245
.338
.304
8.6%
8.5%
0.4%
1.4%
21.00
6.19
0.0%
0.2%
.084
.065
WES
132
.301
.342
9.8%
9.5%
0.8%
0.4%
.052
.085
DM/DS
WES
119
.300
.335
10.1%
9.6%
0.0%
1.1%
.049
.106
DM
NNL
160
.305
.319
10.6%
8.2%
0.0%
0.5%
.064
.077
CTS
WES
175
.331
.341
8.0%
7.2%
0.0%
0.5%
.052
.085
CTS
191
.298
.351
9.9%
0.0%
8.4%
0.5%
1.1%
.097
.119
NNL
244
.489
.358
10.2%
8.4%
8.2%
1.3%
.340
.125
SLS
NNL
135
.373
.354
7.4%
9.1%
0.7%
0.9%
.089
.112
SLS
53
.307
.351
7.5%
8.9%
3.8%
1.3%
.130
.133
SLS
26
.288
.347
0.0%
0.4%
0.0%
7.0%
18.84
0.0%
1.2%
.000
.119
NN2
11
.519
.324
9.1%
6.4%
0.0%
1.1%
.100
.120
NEG
NN2
3
.446
.338
0.0%
8.0%
0.0%
0.8%
.333
.096
CEG
NN2
5
.562
.366
0.0%
9.0%
0.0%
1.5%
.000
.141
WEG
NN2
2
.472
.345
0.0%
8.8%
0.0%
1.6%
.000
.121
CAG
NAL
1
.750
.310
100.0%
6.9%
0.0%
0.7%
.102
BBB
NAL
2
.000
.320
0.0%
9.2%
0.0%
0.6%
.000
.075
CAG
NAL
1
.000
.301
0.0%
6.9%
0.0%
0.7%
.000
.077
27
17
2508
.347
.330
8.3%
8.1%
0.7%
1.5%
11.00
6.66
1.4%
0.7%
.111
.094
 
Team Lg LG LG LG LG LG LG
27
Negro Leagues
2475
.347
.330
8.2%
8.1%
0.7%
1.5%
11.00
6.50
1.4%
0.7%
.113
.094
1
vs High Minors
22
.357
.325
13.6%
6.4%
0.0%
1.2%
.000
.086
2
vs Major Leagues
11
.173
.337
0.0%
8.0%
0.0%
2.6%
3.18
0.0%
0.5%
.000
.096
 
Team Lg LG LG LG LG LG LG
2
Birmingham Giants
37
.215
.243
2.7%
3.2%
0.0%
0.0%
.000
.025
2
St. Paul Gophers
48
.308
.297
4.2%
6.4%
0.0%
0.7%
.073
.083
1
Chicago Giants
4
.000
.296
0.0%
6.4%
0.0%
0.8%
.000
.088
5
St. Louis Stars I
415
.397
.350
7.2%
8.5%
0.0%
0.4%
18.84
4.8%
1.1%
.208
.119
3
West Baden Sprudels
25
.247
.316
0.0%
7.1%
0.0%
0.6%
.040
.082
4
Chicago American Giants
342
.319
.323
6.4%
6.6%
0.0%
0.6%
.058
.091
4
Indianapolis ABCs I
791
.351
.323
8.7%
8.7%
0.7%
1.6%
11.00
5.71
1.0%
0.5%
.116
.082
1
Chicago Black Sox
24
.284
.303
8.3%
8.3%
0.0%
0.7%
.045
.075
1
Louisville White Sox
51
.402
.303
2.0%
8.3%
0.0%
0.7%
.100
.075
1
Royal Poinciana Hotel
7
.109
.313
14.3%
9.1%
0.0%
0.5%
.000
.051
3
Dayton Marcos
241
.301
.324
9.5%
8.6%
0.0%
0.7%
.056
.086
1
Detroit Stars I
43
.319
.336
16.3%
9.6%
0.0%
1.1%
.059
.106
2
Cleveland Tate Stars
366
.314
.346
9.0%
7.8%
0.0%
2.6%
3.18
0.3%
0.8%
.075
.102
1
Toledo Tigers
91
.535
.358
16.5%
8.4%
5.5%
1.3%
.280
.125
1
Indianapolis ABCs II
10
.571
.324
10.0%
6.4%
0.0%
1.1%
.111
.120
4
Baltimore Elite Giants
11
.463
.351
0.0%
8.5%
0.0%
1.3%
.091
.123
1
Birmingham Black Barons
2
.000
.320
0.0%
9.2%
0.0%
0.6%
.000
.075

If you have any questions regarding Negro Leagues statistical or biographical data, please contact gary@seamheads.com. For any other questions/comments/suggestions, please contact the web developer at BaseballGauge@gmail.com.

All biographical data, copyright 2011-2018 Gary Ashwill.

Playing statistics for 1887-1922 and 1926-1938, as well as all Cuban League games (1902-1928) and Negro League vs. Major League games (1887-1944), copyright 2011-2018 Gary Ashwill.

Playing statistics for 1923 (except Negro League vs. Major League games), copyright 2011-2018 Patrick Rock.

Playing statistics for 1933 and 1943, copyright 2013-2018 Scott Simkus.

Playing statistics for 1924-1925, 1939-1942, and 1944-1946 Negro Leagues (not including Cuban League and Negro League vs. Major League games), copyright 2011-2018 Larry Lester, Wayne Stivers, Gary Ashwill.


Defensive Regression Analysis data used here was obtained with permission from Michael Humphreys, author of Wizardry

Win Shares are calculated using the formula in the book Win Shares by Bill James