1945 Season- Seamheads Negro Leagues Database

1945 Season


Negro National League II


1944 / 1946

Top Hitter


Roy
Campanella

Top Pitcher


Roy
Welmaker

Leaders

Batting Average

# Player Team BA
1
BEG
.385
2
PS
.377
3
HG
.372
4
BEG
.360
5
HG
.341
6
PS
.337
7
PS
.333
8
HG
.326
9
HG
.325
10
NBY
.322

ERA+

# Player Team ERA+
1
HG
423
2
HG/NE
294
3
NYC
244
4
PS
169
5
HG
168
6
NE
159
7
NE
157
8
PS
154
9
BEG
149
10
PS
147


Opponent's Batting


Throws:


Qualified:



Teams
# Team Lg
1
NN2
87
2021
1801
299
492
71
36
13
15
168
272
10
42
38
.273
.339
.374
.713
2
NN2
83
1840
1631
222
413
65
32
12
11
165
255
2
8
36
25
.253
.325
.354
.679
3
NN2
66
1807
1632
179
417
57
21
7
12
134
236
1
9
32
30
.256
.315
.329
.645
4
NN2
47
1226
1083
187
327
43
16
12
23
107
121
5
31
26
.302
.367
.404
.772
5
NN2
51
1091
1004
129
266
33
14
11
17
67
168
5
5
15
16
.265
.314
.359
.673
6
NN2
32
829
739
113
198
16
5
12
11
68
84
6
16
15
.268
.335
.352
.686
6
1
366
8814
7890
1129
2113
285
124
67
89
709
1136
8
43
172
150
.268
.332
.361
.692



Players
# Team Role
1
HG
SP
14
521
469
39
114
13
9
3
1
37
72
1
2
13
7
.243
.301
.328
.630
2
BEG
SP
16
504
471
44
119
14
3
2
3
23
88
1
9
10
.253
.289
.308
.597
3
PS
SP
18
467
418
36
94
21
4
2
1
38
80
1
3
8
7
.225
.294
.309
.603
4
NBY
SP
14
382
358
41
104
13
2
4
4
16
49
0
8
9
.291
.321
.372
.692
5
BEG
SP
12
365
334
40
85
14
7
4
5
18
49
2
11
5
.254
.297
.374
.671
6
PS
RP
15
304
275
30
66
8
6
0
4
23
48
0
2
5
0
.240
.303
.313
.616
7
HG
SP
10
260
229
35
65
9
3
1
2
23
21
0
0
8
5
.284
.349
.362
.712
8
NBY
RP
12
254
212
46
62
6
5
6
8
35
24
1
6
5
.292
.395
.453
.848
9
NE
SP
7
247
232
22
63
6
5
0
1
10
29
1
4
5
.272
.305
.341
.645
10
NE
SP
7
231
207
23
43
1
0
1
4
16
33
2
6
4
.208
.271
.227
.498
11
PS
RP
11
221
188
41
52
5
7
1
1
27
25
0
1
5
3
.277
.370
.394
.764
12
BEG
SP
9
219
200
41
60
6
4
2
0
14
30
1
4
3
.300
.349
.400
.749
13
NYC
RP
11
206
194
16
54
4
1
0
2
6
27
0
1
5
5
.278
.303
.309
.613
14
PS
SP
7
202
182
22
49
7
1
2
1
14
23
0
1
5
4
.269
.325
.352
.677
15
NYC
SP
9
201
184
21
51
8
2
0
3
15
45
3
0
2
3
.277
.332
.342
.674
16
BEG
RP
9
199
164
39
50
10
5
2
3
30
21
0
5
6
.305
.412
.463
.876
17
PS
RP
8
188
159
28
40
6
4
1
1
24
23
1
0
5
3
.252
.350
.358
.708
18
HG/NE
SP
7
188
170
7
37
3
1
0
1
11
23
0
3
4
1
.218
.277
.247
.524
19
NYC
SP
7
185
171
25
46
6
1
3
2
11
37
1
2
1
2
.269
.321
.368
.689
20
HG
SP
6
183
170
9
34
3
0
0
1
11
23
0
1
1
7
.200
.253
.218
.470
21
NYC
RP
8
166
151
10
28
2
2
0
2
13
30
1
0
2
1
.185
.250
.225
.475
22
NBY
SP
7
164
142
29
48
6
1
1
2
15
10
2
5
7
.338
.409
.415
.824
23
BEG
RP
10
163
136
32
35
5
2
1
0
23
23
1
3
5
.257
.369
.346
.714
24
HG
RP
6
159
143
17
40
9
1
1
2
11
34
0
3
1
1
.280
.344
.378
.722
25
HG
RP
6
150
139
18
37
6
1
0
3
9
22
0
0
2
3
.266
.311
.324
.635
26
NBY
RP
5
148
121
27
37
8
1
0
1
20
6
1
6
3
.306
.408
.388
.797
27
NYC
RP
8
146
134
23
37
6
0
2
3
11
11
0
0
1
2
.276
.331
.366
.697
28
BEG
RP
7
146
123
24
31
4
3
0
0
19
17
2
2
4
.252
.361
.333
.694
29
HG
SP
5
140
131
19
32
5
2
1
0
7
14
0
0
2
2
.244
.283
.336
.618
30
HG
RP
8
114
105
19
34
7
3
0
1
10
12
0
0
0
1
.324
.383
.448
.830
31
PS
SP
3
111
101
22
26
5
1
1
0
8
16
0
0
1
2
.257
.312
.356
.668
32
NBY
SP
3
108
97
19
31
7
5
1
6
9
6
0
2
1
.320
.377
.526
.903
33
PS
SP
4
101
90
11
23
2
3
1
0
9
17
0
0
2
1
.256
.323
.378
.701
34
NYC
SP
3
98
90
15
24
5
3
4
4
6
12
0
0
2
1
.267
.313
.522
.835
35
NBY
SP
3
86
81
12
21
1
2
0
0
5
12
0
0
1
.259
.302
.321
.623
36
PS
RP
4
79
70
10
22
3
1
2
0
7
9
0
0
2
2
.314
.377
.471
.848
37
NE
SP
3
78
66
21
22
3
0
6
4
8
3
2
2
0
.333
.421
.652
1.073
38
PS
RP
5
77
70
12
20
4
2
0
1
4
2
0
0
3
0
.286
.324
.400
.724
39
BEG
RP
6
76
68
19
26
4
1
0
1
8
7
0
0
2
.382
.447
.471
.918
40
NBY
SP
2
75
68
10
23
2
0
0
2
3
13
0
4
0
.338
.366
.368
.734
41
RP
5
73
62
19
20
5
3
0
0
9
7
0
0
2
2
.323
.408
.500
.908
42
HG
SP
3
71
58
12
17
2
0
1
1
12
8
0
0
1
3
.293
.414
.379
.794
43
BEG
SP
2
67
58
12
13
2
4
1
0
6
16
1
2
0
.224
.308
.448
.756
44
NE
RP
4
64
55
7
14
1
0
1
2
9
3
0
0
2
.255
.359
.327
.687
45
BEG
RP
4
61
57
3
13
2
0
0
0
3
5
0
1
0
.228
.267
.263
.530
46
NE
SP
3
57
53
7
13
0
0
1
0
4
7
0
0
0
.245
.298
.302
.600
47
PS
RP
3
49
43
5
12
1
1
2
2
5
7
0
1
0
1
.279
.367
.488
.856
48
NE
SP
1
44
35
13
14
3
0
1
0
6
2
1
2
2
.400
.500
.571
1.071
49
NYC
SP
2
42
36
9
12
1
1
1
1
2
2
0
2
2
2
.333
.400
.500
.900
50
BEG
RP
2
39
32
12
14
2
2
0
1
4
3
1
2
1
.438
.514
.625
1.139
51
BEG
SP
1
38
29
2
4
0
0
0
2
7
1
1
1
1
.138
.324
.138
.462
52
NE
RP
2
37
30
8
13
0
0
1
0
5
3
0
2
1
.433
.514
.533
1.048
53
NE
RP
1
30
27
5
7
1
0
0
0
3
1
0
0
0
.259
.333
.296
.630
54
BEG
SP
1
29
25
4
5
1
0
0
0
4
5
0
0
0
.200
.310
.240
.550
55
NYC
SP
1
27
26
4
8
0
2
1
0
1
1
0
0
0
0
.308
.333
.577
.910
56
BEG
SP
1
25
23
4
11
2
1
1
0
2
0
0
0
0
.478
.520
.783
1.303
57
RP
2
20
13
7
4
1
1
0
0
6
2
0
1
0
0
.308
.550
.538
1.088
58
NE
RP
1
18
16
2
3
0
0
1
0
2
2
0
0
1
.188
.278
.375
.653
59
PS
RP
2
17
14
2
3
0
2
0
0
3
4
0
0
0
1
.214
.353
.500
.853
60
BEG
RP
1
17
16
3
4
1
0
0
0
1
1
0
0
0
.250
.294
.313
.607
61
HG
RP
1
15
14
3
5
0
0
0
0
1
5
0
0
0
0
.357
.400
.357
.757
62
NE
SP
1
14
10
5
6
1
0
0
0
4
0
0
0
0
.600
.714
.700
1.414
63
BEG
RP
2
14
14
3
5
1
1
0
0
0
0
0
0
0
.357
.357
.571
.929
64
HG
RP
1
13
10
1
2
0
1
0
0
3
3
0
0
0
0
.200
.385
.400
.785
65
NYC
RP
1
9
9
2
3
0
1
0
0
0
2
0
0
0
0
.333
.333
.556
.889
66
PS
RP
1
6
6
0
0
0
0
0
0
0
0
0
0
0
0
.000
.000
.000
.000
67
PS
RP
1
4
4
1
3
1
0
0
0
0
0
0
0
0
0
.750
.750
1.000
1.750
68
NE
RP
1
2
2
0
0
0
0
0
0
0
0
0
0
0
.000
.000
.000
.000
* = Left-handed pitcher       ^ = Unknown

If you have any questions regarding Negro Leagues statistical or biographical data, please contact gary@seamheads.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