1941 Season- Seamheads Negro Leagues Database

1941 Season


1940 / 1942

Top Hitter


Buck
Leonard

Top Pitcher


Hilton
Smith

Leaders

On Base %

# Player Team OBP
1
HG
.495
2
HG
.472
3
KCM
.468
4
NE
.442
5
MRS
.419
6
BEG
.418
7
MRS/BEG
.410
8
NBY
.407
9
BBB
.397
10
NE
.394

Strikeouts

# Player Team SO
1
SNS/NYC
92
2
PS
60
3
HG
53
4
NE
53
5
KCM
53
6
HG
52
7
NE
50
8
NBY/KCM
47
9
SNS
46
10
BEG
45


Batting


Bats:


Qualified:



Teams
# Team Lg
1
NAL
17
624
551
82
156
25
7
2
71
17
54
19
.283
.347
.365
.712
122
2
NN2
49
1863
1657
288
449
73
25
33
259
49
180
26
.271
.342
.405
.747
119
3
NAL
33
1244
1101
179
278
35
22
11
166
29
119
24
.252
.325
.354
.680
113
4
NN2
49
1817
1628
291
447
78
19
24
273
30
144
45
.275
.334
.390
.724
111
5
NN2
48
1752
1570
243
416
56
18
25
231
29
138
44
.265
.324
.371
.696
103
6
NAL
18
595
536
71
146
15
9
1
70
7
31
28
.272
.312
.340
.652
103
7
NN2
40
1473
1348
182
348
53
10
12
173
10
100
25
.258
.309
.339
.648
90
8
NAL
19
669
611
77
140
15
15
1
59
21
46
12
.229
.283
.308
.591
84
9
NN2
31
1080
961
118
218
33
4
11
108
16
93
26
.227
.295
.304
.599
75
10
NAL
14
519
477
42
110
9
5
2
33
8
29
13
.231
.275
.283
.558
75
11
NN2
52
1792
1661
176
380
51
20
7
161
26
107
24
.229
.275
.296
.572
68
12
NAL
10
352
319
38
63
8
2
0
34
0
28
5
.197
.262
.235
.497
54
12
2
436
13780
12420
1787
3151
451
156
129
1638
242
1069
291
.254
.313
.346
.659
97



Players
# Team Pos
1
HG
1B
47
202
161
54
56
9
6
11
40
6
38
3
.348
.472
.683
1.156
235
2
KCM
RF
30
128
98
27
32
5
2
6
27
1
26
4
.327
.468
.602
1.070
233
3
NE
SS
41
174
152
34
60
12
1
8
48
8
13
9
.395
.442
.645
1.087
215
4
LF
44
184
170
47
62
8
6
10
42
2
13
1
.365
.410
.659
1.069
210
5
MRS
RF
14
62
58
14
22
3
3
0
8
5
4
0
.379
.419
.534
.954
197
6
KCM
CF
33
141
128
28
42
6
4
5
29
9
13
0
.328
.390
.555
.945
194
7
BBB
1B
18
64
55
5
20
3
2
0
10
1
3
6
.364
.397
.491
.887
177
8
NE
CF
43
163
152
23
48
8
5
4
32
2
11
0
.316
.362
.513
.875
154
9
JRC
CF
10
42
40
7
13
1
2
0
11
0
2
0
.325
.357
.450
.807
152
10
HG
3B
45
189
172
43
54
7
5
4
33
7
15
2
.314
.369
.483
.852
148
11
LF
18
76
70
14
23
2
2
0
11
6
6
0
.329
.382
.414
.796
146
12
NYC
LF
38
155
147
24
46
8
3
3
30
1
7
1
.313
.344
.469
.814
136
13
NYC
CF
39
164
153
25
50
9
3
1
30
0
9
2
.327
.364
.444
.809
136
14
MRS
CF
16
68
58
10
15
3
2
0
10
2
9
1
.259
.358
.379
.738
130
15
NBY
CF
29
126
106
22
33
5
1
0
13
10
17
3
.311
.407
.377
.784
130
16
BEG
CF
48
172
154
27
47
8
2
2
22
8
13
5
.305
.359
.422
.781
128
17
BBB
2B
18
65
61
7
19
1
2
0
10
1
2
2
.311
.333
.393
.727
127
18
BBB
LF
18
70
63
10
18
2
2
0
6
1
4
3
.286
.328
.381
.709
121
19
NYC
3B
38
164
145
22
41
6
1
3
23
4
15
4
.283
.350
.400
.750
119
20
MRS
SS
17
58
49
6
14
1
1
0
7
0
5
4
.286
.352
.347
.699
119
21
NBY
C
26
97
82
9
24
3
0
1
11
0
11
4
.293
.376
.366
.742
118
22
HG
RF
39
174
158
26
44
8
3
2
16
7
12
4
.278
.329
.405
.734
114
23
NE
3B
44
182
157
31
42
9
2
2
16
6
18
7
.268
.343
.389
.731
114
24
BEG
RF
47
215
181
35
48
7
2
2
22
3
28
6
.265
.364
.359
.723
112
25
MRS
2B
17
72
67
6
20
3
0
0
9
3
3
2
.299
.329
.343
.672
110
26
BEG
1B
48
195
186
29
56
6
5
1
35
8
4
5
.301
.316
.403
.719
109
27
KCM
SS
31
120
105
17
27
1
3
0
20
1
14
1
.257
.345
.324
.668
109
28
KCM
3B
32
137
122
22
34
3
1
0
11
3
12
3
.279
.343
.320
.663
107
29
JRC
SS
9
32
32
4
9
3
0
0
6
0
0
0
.281
.281
.375
.656
104
30
PS
RF
52
206
190
25
55
9
1
1
23
5
13
3
.289
.335
.363
.698
104
31
HG
CF
47
209
184
28
49
5
2
2
20
4
21
4
.266
.341
.348
.689
102
32
CAG
1B
14
57
53
6
14
2
1
0
6
1
3
1
.264
.304
.340
.643
101
33
SNS
CF
17
70
63
9
15
1
2
0
7
7
7
0
.238
.314
.317
.632
98
34
SS
15
65
59
8
14
0
1
1
3
2
6
0
.237
.308
.322
.630
97
35
NYC
1B
33
132
125
25
32
7
1
2
14
2
5
2
.256
.285
.376
.661
92
36
JRC
3B
9
39
31
5
7
0
0
0
3
0
8
0
.226
.385
.226
.610
92
37
SNS
1B
17
66
61
6
15
2
2
0
10
0
2
3
.246
.270
.344
.614
91
38
HG
2B
46
163
145
18
34
5
2
2
23
13
15
3
.234
.306
.338
.644
88
39
SNS
2B
17
64
58
2
12
1
3
0
5
1
5
1
.207
.270
.328
.597
86
40
3B
25
90
87
16
23
3
0
0
13
2
3
0
.264
.289
.299
.588
83
41
CAG
RF
14
62
61
7
16
1
1
0
3
3
1
0
.262
.274
.311
.586
83
42
BEG
3B
45
186
167
24
40
8
0
2
31
2
14
5
.240
.298
.323
.622
82
43
SNS
3B
16
59
53
8
12
1
1
0
2
1
5
1
.226
.293
.283
.576
80
44
KCM
1B
32
139
129
18
30
5
2
0
11
6
7
3
.233
.272
.302
.574
79
45
HG
LF
41
174
161
22
40
7
1
0
23
2
13
0
.248
.305
.304
.609
79
46
NE
1B
46
208
177
35
37
5
1
3
19
2
25
6
.209
.307
.299
.606
78
47
C
45
167
153
18
38
7
1
0
18
4
11
3
.248
.299
.307
.606
78
48
PS
1B
52
195
173
18
39
1
2
2
19
1
20
2
.225
.306
.289
.595
75
49
NYC
1B
30
125
112
12
26
4
1
0
9
0
12
1
.232
.306
.286
.592
74
50
NYC
2B
33
128
110
8
25
1
0
1
13
0
16
2
.227
.325
.264
.589
74
51
MRS
3B
15
55
45
5
9
2
1
0
9
2
4
6
.200
.265
.289
.554
73
52
NYC
SS
33
143
130
22
32
6
0
0
11
2
9
4
.246
.295
.292
.587
72
53
KCM
2B
33
138
127
14
31
2
0
0
15
1
8
3
.244
.289
.260
.549
72
54
MRS
1B
14
55
52
7
12
2
0
0
3
1
3
0
.231
.273
.269
.542
69
55
BEG
2B
44
186
169
31
39
8
0
0
24
3
15
2
.231
.293
.278
.572
68
56
HG
SS
47
208
183
28
41
4
0
0
17
6
21
4
.224
.304
.246
.550
62
57
KCM
LF
32
137
120
22
22
2
2
0
12
6
16
1
.183
.279
.233
.513
61
58
NBY
2B
27
112
100
9
16
2
1
1
11
0
10
2
.160
.236
.230
.466
37
59
BEG
SS
49
210
189
33
34
8
0
0
19
0
15
6
.180
.240
.222
.462
36
60
CAG
LF
10
45
39
2
7
0
0
0
3
0
3
3
.179
.238
.179
.418
31
61
NBY
SS
30
108
94
8
15
2
0
0
8
0
11
3
.160
.248
.181
.428
27
62
LF
29
107
103
6
16
2
0
3
8
1
1
3
.155
.163
.262
.426
23
63
CAG
2B
14
49
44
4
5
0
0
0
0
0
4
1
.114
.188
.114
.301
-5
64
JRC
2B
10
42
37
3
4
0
0
0
1
0
3
2
.108
.175
.108
.283
-11
* = Left-handed hitter       ** = Switch-hitter       ^ = Unknown

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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