John Henry Lloyd - Seamheads Negro Leagues Database

John Henry Lloyd



John Henry Lloyd
(Pop; Bemba Cuchara; Sam)

Born: April 25, 1884 in Palatka, FL
Died: March 19, 1964 in Atlantic City, NJ
          (79 years old)

Bats: L
Throws: R
Ht: 5'11"
Wt: 180
Biographical
Wikipedia BR Bullpen SABR BioProject SABR Index
Photos & Videos
Google Photos / + Baseball Yahoo Photos / + Baseball MLB.com YouTube

Notes:


• Inducted into the Baseball Hall of Fame in 1977
• Buried: Atlantic City Cemetery (Pleasantville, NJ)
• Visit Manager Page


Batting

Multi-Stint Seasons:



Glossary
Basic Batting
Team Lg Pos
37
SS
96
429
387
70
135
22
9
0
60
24
26
1
15
.349
.391
.452
.844
134
HAB
39
SS
77
335
299
39
82
11
9
0
41
14
8
23
11
2
8
3
.274
.327
.371
.698
90
HAB
CUB
38
SS
30
144
128
24
42
4
8
0
16
7
10
0
6
0
.328
.377
.484
.861
148
CAG
WES
33
SS
57
228
206
26
62
12
7
1
39
6
1
15
5
0
7
.301
.348
.442
.790
167
AC
ECL
41
2B
71
299
254
43
84
8
5
3
57
13
32
13
.331
.406
.437
.843
120
NLG
ANL
45
1B
58
244
219
43
80
16
5
3
54
2
0
18
0
0
7
.365
.414
.525
.939
127
MULT
30
SS
53
233
209
37
66
13
5
0
32
8
19
0
0
5
.316
.373
.426
.799
126
PG
NAC
24
SS
30
134
124
31
53
7
4
1
25
4
8
0
2
.427
.462
.573
1.035
225
NLG
ECL
42
2B
49
209
184
27
60
6
3
1
32
4
1
16
0
2
7
.326
.386
.408
.794
105
ALM
CUB
43
1B
28
112
103
15
36
4
3
1
18
0
1
8
4
1
0
0
1
.350
.393
.476
.869
125
28
SS
45
209
177
42
64
5
3
1
30
28
25
2
5
0
.362
.446
.441
.887
161
31
SS
51
224
206
35
76
14
3
1
42
10
12
0
6
.369
.404
.481
.884
160
EAS
35
SS
24
102
86
8
32
6
3
0
16
5
8
0
8
.372
.426
.512
.937
183
NLG
EAS
27
SS
15
65
60
12
25
2
2
1
16
2
5
0
0
.417
.462
.567
1.028
181
HAB
CUB
27
SS
28
126
103
11
40
3
2
0
28
13
17
0
6
.388
.475
.456
.931
181
RP
FHL
32
SS
15
58
53
8
17
3
2
0
17
1
4
0
1
.321
.368
.453
.821
215
BRG
EAS
34
SS
19
85
76
13
27
3
2
0
13
1
6
0
3
.355
.402
.447
.850
162
AC
ECL
40
2B
57
233
210
36
75
12
2
1
44
7
18
5
.357
.408
.448
.856
146
NLG
EAS
46
1B
43
178
151
28
57
8
2
1
30
3
13
0
14
.377
.427
.477
.904
106
PG
25
SS
19
90
82
17
36
9
2
2
17
0
6
0
0
2
.439
.477
.671
1.148
255
NLG
29
SS
17
73
66
14
25
1
2
0
11
7
5
0
2
.379
.423
.455
.877
173
CAG
32
SS
66
268
240
39
79
9
2
1
35
6
1
21
2
2
5
0
.329
.388
.396
.784
141
BRG
36
SS
25
104
93
9
27
4
2
0
10
6
10
0
1
.290
.359
.376
.736
151
CXG
EAS
22
2B
11
43
35
4
8
0
1
0
3
3
6
1
1
.229
.357
.286
.643
96
HAB
CUB
24
SS
23
106
96
15
25
2
1
0
16
2
5
7
1
4
.260
.304
.302
.606
124
HAB
CvM
25
2B
9
36
33
4
8
0
1
0
3
2
2
1
6
0
2
0
.242
.265
.303
.568
97
LEL
WES
26
SS
21
94
89
12
33
9
1
2
23
3
2
0
3
.371
.385
.562
.946
190
SFP
CUB
31
SS
15
64
60
9
24
1
1
0
7
4
0
4
4
0
0
0
1
.400
.438
.450
.888
154
HIL
ECL
39
SS
41
164
150
34
55
13
1
2
23
5
9
0
5
.367
.403
.507
.909
152
NLG
ECL
43
2B
29
118
111
17
34
8
1
1
18
0
4
0
0
3
.306
.330
.423
.754
88
NLG
ECL
44
2B
36
151
133
31
51
4
1
5
23
4
1
10
1
1
7
.383
.431
.541
.972
146
NLG
28
SS
22
92
86
13
31
5
1
1
13
6
3
1
2
.360
.389
.477
.866
148
PG
NAC
23
SS
15
62
57
9
14
1
0
1
5
2
4
1
0
.246
.306
.316
.622
106
PG
NvC
23
2B
23
97
93
17
26
4
0
0
11
2
3
2
1
0
.280
.309
.323
.632
131
NYB
EAS
38
SS
60
270
247
45
76
16
0
2
36
9
12
1
10
.308
.342
.397
.739
106
HAR
IND
47
1B
17
64
59
4
15
2
0
0
6
0
4
0
1
.254
.302
.288
.590
66
PBG
IND
48
1B
4
15
15
4
5
1
0
1
3
1
0
0
0
.333
.333
.600
.933
136
MULT
26
SS
24
100
86
11
29
6
0
0
14
5
0
10
5
1
2
1
.337
.408
.407
.815
185
27
18
SS
1323
5658
5066
856
1714
254
96
33
887
219
15
402
47
1
17
168
5
1
.338
.389
.446
.834
140
162 Game Average
693
620
105
210
31
12
4
109
33
15
49
33
6
2
21
4
11
.338
.389
.446
.834
140
 
Team Lg Pos
27
Negro Leagues
1000
4238
3801
660
1309
209
67
31
690
135
4
293
8
10
134
.344
.393
.459
.852
142
9
Cuban Leagues
282
1248
1107
179
352
38
27
2
175
74
9
99
29
1
7
30
5
1
.318
.376
.407
.783
133
6
vs Major Leagues
27
110
99
10
31
4
1
0
13
9
2
8
10
0
3
0
.313
.364
.374
.738
149
3
vs High Minors
14
62
59
7
22
3
1
0
9
1
2
0
0
1
0
.373
.393
.458
.851
123
 
Team Lg Pos
1
Cuban X Giants
2B
11
43
35
4
8
0
1
0
3
3
6
1
1
.229
.357
.286
.643
96
3
Philadelphia Giants I
SS
87
383
356
74
129
21
6
4
58
8
21
2
2
4
.362
.401
.489
.890
189
6
Habana
SS
181
805
710
99
215
24
21
0
112
39
10
62
29
3
27
3
.303
.360
.396
.756
127
1
Chicago Leland Giants
SS
31
136
124
17
44
11
1
2
29
7
6
1
4
1
.355
.386
.508
.894
188
9
New York Lincoln Giants
SS
283
1188
1060
198
379
51
18
13
204
36
2
80
1
6
42
0
.358
.406
.476
.882
127
1
SS
32
155
131
29
48
4
2
1
23
20
19
0
5
.366
.447
.450
.897
158
4
Chicago American Giants
SS
193
801
721
116
229
37
14
3
122
20
2
60
7
2
18
0
.318
.372
.420
.792
146
1
New York Lincoln Stars
SS
33
148
136
21
54
11
3
0
26
10
7
0
5
.397
.427
.522
.949
167
1
San Francisco Park
SS
15
64
60
9
24
1
1
0
7
4
0
4
4
0
0
0
1
.400
.438
.450
.888
154
1
Royal Poinciana Hotel
SS
15
58
53
8
17
3
2
0
17
1
4
0
1
.321
.368
.453
.821
215
3
Brooklyn Royal Giants
SS
49
209
184
23
57
7
5
0
25
7
18
0
7
.310
.371
.402
.773
150
4
Bacharach Giants
2B
207
884
782
131
264
42
9
6
151
34
68
1
33
.338
.391
.437
.829
130
1
Columbus Buckeyes
SS
90
403
362
65
126
20
8
0
54
24
25
1
15
.348
.392
.448
.839
134
1
Kansas City Monarchs
SS
6
26
25
5
9
2
1
0
6
0
1
0
0
.360
.385
.520
.905
128
1
Hilldale Club
SS
41
164
150
34
55
13
1
2
23
5
9
0
5
.367
.403
.507
.909
152
1
Almendares
1B
28
112
103
15
36
4
3
1
18
0
1
8
4
1
0
0
1
.350
.393
.476
.869
125
1
New York Black Yankees
1B
17
64
59
4
15
2
0
0
6
0
4
0
1
.254
.302
.288
.590
66
1
Philadelphia Bacharach Giants
1B
4
15
15
4
5
1
0
1
3
1
0
0
0
.333
.333
.600
.933
136



Advanced Batting
Team Lg LG LG LG LG LG LG
CXG
EAS
43
.324
.317
14.0%
7.6%
0.1%
60.50
0.0%
0.4%
.057
.070
PG
NAC
62
.311
.293
6.5%
6.3%
1.6%
0.4%
.070
.057
PG
NvC
97
.331
.288
3.1%
7.9%
2.1%
5.4%
1.50
1.46
0.0%
0.1%
.043
.026
PG
NAC
134
.485
.307
6.0%
6.5%
0.7%
0.3%
.145
.061
HAB
CUB
106
.303
.280
4.7%
8.7%
6.6%
5.8%
0.71
1.51
0.0%
0.1%
.042
.042
PG
90
.514
.297
6.7%
0.0%
6.7%
2.2%
0.4%
.232
.081
HAB
CvM
36
.265
.281
2.8%
6.6%
16.7%
11.7%
0.17
0.56
0.0%
0.5%
.061
.058
LEL
WES
94
.420
.296
2.1%
6.4%
2.1%
0.8%
.191
.088
MULT
100
.413
.299
10.0%
5.0%
8.0%
2.00
0.0%
0.2%
.070
.037
NLG
EAS
65
.481
.344
7.7%
8.3%
1.5%
0.7%
.150
.094
HAB
CUB
126
.452
.334
13.5%
10.5%
0.0%
0.4%
.068
.058
NLG
92
.387
.317
3.3%
5.0%
1.1%
1.0%
.116
.090
209
.445
.347
12.0%
11.1%
0.5%
0.1%
.079
.053
NLG
73
.415
.313
6.8%
7.1%
0.0%
0.2%
.076
.063
MULT
233
.365
.326
8.2%
0.0%
7.9%
0.0%
0.9%
.110
.101
224
.410
.322
5.4%
7.7%
0.4%
0.7%
.112
.081
SFP
CUB
64
.451
.358
6.3%
11.0%
6.3%
8.1%
1.00
1.35
0.0%
0.1%
.050
.056
CAG
268
.380
.313
7.8%
1.8%
0.7%
8.4%
10.50
4.86
0.4%
0.5%
.067
.077
RP
FHL
58
.407
.266
6.9%
9.8%
0.0%
0.1%
.132
.062
CAG
WES
228
.377
.292
6.6%
8.2%
2.2%
1.4%
3.00
5.84
0.4%
0.2%
.141
.062
BRG
EAS
85
.401
.315
7.1%
7.8%
0.0%
0.4%
.092
.060
EAS
102
.418
.320
7.8%
8.7%
0.0%
0.2%
.140
.067
BRG
104
.364
.289
9.6%
7.9%
0.0%
0.2%
.086
.057
429
.381
.331
6.1%
7.6%
0.0%
0.9%
.103
.102
NYB
EAS
270
.335
.330
4.4%
7.4%
0.7%
0.9%
.089
.097
HAB
CUB
144
.388
.328
6.9%
8.1%
0.0%
0.4%
.156
.089
HIL
ECL
164
.405
.329
5.5%
6.7%
1.2%
0.9%
.140
.095
HAB
335
.326
.345
6.9%
6.2%
3.3%
8.2%
2.09
1.34
0.0%
0.5%
.097
.092
AC
ECL
233
.391
.317
7.7%
6.7%
0.4%
1.0%
.090
.096
AC
ECL
299
.375
.342
10.7%
8.2%
1.0%
1.7%
.106
.121
NLG
ECL
209
.366
.358
7.7%
10.1%
0.0%
2.7%
3.78
0.5%
1.1%
.082
.118
NLG
ECL
118
.337
.362
3.4%
9.5%
0.0%
0.3%
30.72
0.8%
1.3%
.117
.125
ALM
CUB
112
.393
.349
7.1%
8.1%
3.6%
3.1%
2.00
2.61
0.9%
1.0%
.126
.110
NLG
ECL
151
.418
.353
6.6%
8.0%
0.7%
0.6%
10.00
13.68
3.3%
1.5%
.158
.126
NLG
ANL
244
.414
.372
7.4%
9.5%
0.0%
0.2%
38.49
1.2%
1.4%
.160
.133
NLG
EAS
178
.383
.385
7.3%
9.1%
0.6%
1.8%
.099
.151
HAR
IND
64
.277
.324
6.3%
7.5%
1.1%
6.75
0.0%
1.1%
.034
.110
PBG
IND
15
.407
.349
0.0%
7.9%
0.8%
9.46
6.7%
1.2%
.267
.126
27
18
5658
.386
.329
7.1%
8.1%
2.3%
3.0%
2.85
10.66
0.6%
0.8%
.108
.090
 
Team Lg LG LG LG LG LG LG
27
Negro Leagues
4238
.389
.329
6.9%
7.9%
0.7%
1.2%
10.38
16.28
0.7%
0.9%
.115
.096
9
Cuban Leagues
1248
.378
.331
7.9%
9.1%
4.0%
5.8%
1.48
1.58
0.2%
0.4%
.089
.070
6
vs Major Leagues
110
.358
.290
7.3%
6.9%
11.8%
7.9%
0.70
1.59
0.0%
0.3%
.061
.055
3
vs High Minors
62
.378
.338
3.2%
7.5%
0.0%
0.5%
14.00
0.0%
1.4%
.085
.141
 
Team Lg LG LG LG LG LG LG
1
Cuban X Giants
43
.324
.317
14.0%
7.6%
0.0%
0.4%
.057
.070
3
Philadelphia Giants I
383
.425
.298
5.5%
6.9%
2.0%
5.2%
1.50
1.60
1.0%
0.3%
.126
.056
6
Habana
805
.358
.326
7.7%
8.6%
5.4%
6.7%
1.21
1.30
0.0%
0.4%
.093
.075
1
Chicago Leland Giants
136
.411
.292
4.4%
6.5%
1.5%
0.6%
.153
.071
9
New York Lincoln Giants
1188
.396
.356
6.7%
8.8%
0.1%
1.1%
48.00
21.78
1.1%
1.2%
.119
.117
1
155
.443
.354
12.3%
11.7%
0.6%
0.2%
.084
.057
4
Chicago American Giants
801
.375
.310
7.5%
8.2%
1.4%
1.6%
5.14
5.79
0.4%
0.5%
.103
.080
1
New York Lincoln Stars
148
.433
.332
4.7%
7.4%
0.0%
0.6%
.125
.083
1
San Francisco Park
64
.451
.358
6.3%
11.0%
6.3%
8.1%
1.00
1.35
0.0%
0.1%
.050
.056
1
Royal Poinciana Hotel
58
.407
.266
6.9%
9.8%
0.0%
0.1%
.132
.062
3
Brooklyn Royal Giants
209
.369
.302
8.6%
7.9%
0.0%
0.3%
.092
.059
4
Bacharach Giants
884
.375
.330
7.7%
7.6%
0.7%
1.1%
.100
.102
1
Columbus Buckeyes
403
.380
.330
6.2%
7.5%
0.0%
0.8%
.099
.098
1
Kansas City Monarchs
26
.398
.345
3.8%
8.7%
0.0%
1.2%
.160
.153
1
Hilldale Club
164
.405
.329
5.5%
6.7%
1.2%
0.9%
.140
.095
1
Almendares
112
.393
.349
7.1%
8.1%
3.6%
3.1%
2.00
2.61
0.9%
1.0%
.126
.110
1
New York Black Yankees
64
.277
.324
6.3%
7.5%
0.0%
1.1%
.034
.110
1
Philadelphia Bacharach Giants
15
.407
.349
0.0%
7.9%
6.7%
1.2%
.267
.126

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