Distributions

League-wide player histograms · 1412 games played · 1467 qualifying batters (27+ PA) · 961 qualifying pitchers (27+ outs)
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Player ID 4251 not found in the qualifying population — no histogram marker shown.

Batting distributions

PAVG n=1467 · μ=0.300 · σ=0.111
0.000
4
0.056
41
0.113
120
0.169
244
0.226
281
0.282
263
0.339
213
0.395
149
0.452
90
0.508
46
0.565
14
0.621
2
10th25th Median 75th90th 95th99th
0.163 0.216 0.290 0.373 0.453 0.500 0.566
OPS n=1467 · μ=0.961 · σ=0.359
0.148
15
0.335
109
0.521
282
0.708
299
0.895
281
1.082
185
1.268
141
1.455
80
1.642
51
1.828
20
2.015
3
2.202
0
10th25th Median 75th90th 95th99th
0.537 0.688 0.914 1.185 1.467 1.644 1.894
OPS+ n=1467 · μ=103 · σ=37.515
16
11
36
98
55
257
75
311
95
267
115
221
134
145
154
85
174
46
193
20
213
5
233
1
10th25th Median 75th90th 95th99th
59 75 98 126 155 173 204
wOBA n=1467 · μ=0.455 · σ=0.199
0.056
42
0.162
210
0.269
334
0.375
324
0.482
222
0.589
144
0.695
97
0.802
52
0.908
27
1.015
13
1.122
1
1.228
1
10th25th Median 75th90th 95th99th
0.228 0.304 0.419 0.571 0.740 0.827 1.011
BAVG n=1467 · μ=0.359 · σ=0.137
0.000
4
0.067
42
0.135
129
0.202
246
0.269
280
0.337
249
0.404
211
0.471
133
0.538
100
0.606
52
0.673
15
0.740
6
10th25th Median 75th90th 95th99th
0.192 0.255 0.347 0.448 0.552 0.605 0.688
ISO n=1467 · μ=0.208 · σ=0.145
0.000
273
0.078
370
0.157
321
0.235
198
0.314
126
0.392
91
0.471
43
0.549
30
0.627
11
0.706
3
0.784
0
0.863
0
10th25th Median 75th90th 95th99th
0.052 0.100 0.177 0.286 0.415 0.491 0.624
BABIP n=1467 · μ=0.463 · σ=0.137
0.000
2
0.076
10
0.152
40
0.227
119
0.303
242
0.379
312
0.455
280
0.530
233
0.606
145
0.682
61
0.758
17
0.833
6
10th25th Median 75th90th 95th99th
0.289 0.368 0.458 0.559 0.643 0.690 0.787
K% n=1467 · μ=24.0% · σ=10.3%
0.0%
20
5.6%
127
11.1%
253
16.7%
265
22.2%
273
27.8%
232
33.3%
178
38.9%
78
44.4%
23
50.0%
12
55.6%
2
61.1%
4
10th25th Median 75th90th 95th99th
11.0% 15.9% 23.6% 31.2% 37.5% 41.0% 50.0%
BB% n=1467 · μ=13.2% · σ=5.3%
0.0%
12
2.8%
70
5.6%
180
8.3%
264
11.1%
312
13.9%
251
16.7%
198
19.4%
95
22.2%
46
25.0%
31
27.8%
7
30.6%
1
10th25th Median 75th90th 95th99th
6.7% 9.5% 12.8% 16.7% 20.3% 22.5% 26.4%
2C-RBI% n=1467 · μ=3.8% · σ=6.7%
0.0%
1019
4.2%
149
8.3%
138
12.5%
72
16.7%
45
20.8%
16
25.0%
15
29.2%
1
33.3%
7
37.5%
3
41.7%
1
45.8%
1
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 6.2% 12.5% 17.7% 28.6%
2C-Conv% n=1467 · μ=37.5% · σ=47.7%
0.0%
898
8.3%
0
16.7%
0
25.0%
0
33.3%
1
41.7%
0
50.0%
22
58.3%
0
66.7%
14
75.0%
7
83.3%
1
91.7%
524
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 100.0% 100.0% 100.0% 100.0%
MhAB% n=1467 · μ=0.4% · σ=1.0%
0.0%
1235
0.6%
14
1.3%
81
1.9%
49
2.6%
33
3.2%
20
3.8%
22
4.5%
5
5.1%
1
5.8%
3
6.4%
2
7.1%
2
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 0.0% 1.8% 2.8% 4.3%
RISP-AVG n=1467 · μ=0.294 · σ=0.122
0.000
20
0.069
118
0.139
259
0.208
295
0.278
301
0.347
230
0.417
144
0.486
68
0.556
26
0.625
5
0.694
0
0.764
1
10th25th Median 75th90th 95th99th
0.143 0.200 0.286 0.380 0.459 0.506 0.593
RISP-OPS n=1467 · μ=0.949 · σ=0.378
0.100
18
0.309
136
0.519
331
0.728
297
0.937
272
1.146
191
1.356
120
1.565
62
1.774
29
1.983
8
2.193
2
2.402
1
10th25th Median 75th90th 95th99th
0.508 0.659 0.905 1.192 1.500 1.650 1.913
RISP-Conv n=1467 · μ=0.38 · σ=0.180
0.00
35
0.09
108
0.18
287
0.27
302
0.36
265
0.45
194
0.54
121
0.63
82
0.72
39
0.81
25
0.90
4
0.99
5
10th25th Median 75th90th 95th99th
0.18 0.25 0.36 0.49 0.64 0.72 0.88
WAR n=1467 · μ=0.24 · σ=0.613
-1.07
19
-0.64
287
-0.21
565
0.21
316
0.64
129
1.07
78
1.49
42
1.92
17
2.35
8
2.77
5
3.20
0
3.63
1
10th25th Median 75th90th 95th99th
-0.34 -0.16 0.09 0.48 1.08 1.49 2.30

Pitching distributions

wERA n=961 · μ=11.75 · σ=4.499
1.14
9
4.23
124
7.32
275
10.40
287
13.49
139
16.58
78
19.67
25
22.75
12
25.84
7
28.93
3
32.02
1
35.10
1
10th25th Median 75th90th 95th99th
6.80 8.63 11.13 13.94 17.68 19.72 26.31
xRA n=961 · μ=11.75 · σ=4.499
1.14
9
4.23
124
7.32
275
10.40
287
13.49
139
16.58
78
19.67
25
22.75
12
25.84
7
28.93
3
32.02
1
35.10
1
10th25th Median 75th90th 95th99th
6.80 8.63 11.13 13.94 17.68 19.72 26.31
Decay n=686 · μ=+1.7 · σ=21.680
-80.2
5
-67.1
5
-54.0
9
-40.9
26
-27.9
89
-14.8
157
-1.7
191
+11.4
110
+24.4
65
+37.5
20
+50.6
4
+63.7
4
10th25th Median 75th90th 95th99th
-24.1 -10.7 +1.7 +14.9 +28.7 +35.9 +53.4
GSc avg n=961 · μ=49.6 · σ=5.555
30.2
5
34.4
21
38.7
85
42.9
180
47.1
329
51.4
225
55.6
88
59.9
21
64.1
6
68.3
0
72.6
0
76.8
1
10th25th Median 75th90th 95th99th
42.4 46.1 49.8 52.9 56.3 58.2 63.5
GSc+ n=961 · μ=102 · σ=11.126
63
7
71
18
80
73
89
217
97
331
106
218
115
71
124
20
132
5
141
0
150
0
159
0
10th25th Median 75th90th 95th99th
89 95 102 109 115 119 130
FOP n=961 · μ=62 · σ=9.865
24
4
29
4
34
11
39
31
44
54
49
118
54
129
59
197
64
204
70
142
75
52
80
15
10th25th Median 75th90th 95th99th
49 55 63 68 73 76 81
OS+ n=961 · μ=121 · σ=58.132
35
75
61
249
87
231
114
148
140
73
166
49
192
54
218
30
245
28
271
15
297
4
323
5
10th25th Median 75th90th 95th99th
63 79 105 146 209 248 294
GE n=961 · μ=2.1 · σ=1.141
1.0
358
1.5
216
2.0
158
2.5
82
3.0
33
3.6
30
4.1
29
4.6
26
5.1
10
5.6
10
6.1
4
6.6
4
10th25th Median 75th90th 95th99th
1.1 1.3 1.7 2.5 3.9 4.7 6.1
K% n=961 · μ=33.1% · σ=8.8%
6.2%
2
11.0%
17
15.8%
51
20.5%
113
25.3%
182
30.1%
203
34.8%
177
39.6%
111
44.4%
67
49.1%
26
53.9%
8
58.7%
4
10th25th Median 75th90th 95th99th
22.1% 26.8% 32.5% 38.8% 44.7% 47.7% 54.9%
BB% n=961 · μ=13.3% · σ=4.6%
0.0%
8
2.4%
18
4.7%
55
7.1%
97
9.4%
193
11.8%
191
14.1%
177
16.5%
110
18.8%
69
21.2%
29
23.5%
8
25.9%
6
10th25th Median 75th90th 95th99th
7.8% 10.2% 13.2% 16.2% 19.3% 20.9% 24.5%
HR% n=961 · μ=2.7% · σ=2.4%
0.0%
349
1.5%
258
2.9%
149
4.4%
101
5.9%
58
7.4%
27
8.8%
10
10.3%
7
11.8%
1
13.2%
0
14.7%
0
16.2%
1
10th25th Median 75th90th 95th99th
0.0% 0.8% 2.2% 3.9% 6.1% 7.1% 10.0%
K-BB% n=961 · μ=12.6% · σ=10.6%
-14.1%
19
-8.1%
52
-2.2%
117
3.7%
204
9.7%
226
15.6%
162
21.5%
95
27.5%
63
33.4%
10
39.3%
7
45.3%
5
51.2%
1
10th25th Median 75th90th 95th99th
-1.1% 5.4% 12.3% 19.1% 26.5% 29.9% 40.8%
oAVG n=961 · μ=0.331 · σ=0.090
0.071
5
0.123
26
0.174
82
0.225
143
0.277
230
0.328
209
0.379
136
0.431
77
0.482
32
0.533
15
0.585
4
0.636
2
10th25th Median 75th90th 95th99th
0.216 0.273 0.327 0.385 0.447 0.486 0.567
WAR n=961 · μ=0.37 · σ=0.570
-1.17
9
-0.81
26
-0.46
114
-0.11
293
0.25
284
0.60
114
0.95
55
1.31
26
1.66
23
2.01
9
2.36
7
2.72
0
10th25th Median 75th90th 95th99th
-0.22 0.04 0.28 0.60 1.11 1.56 2.25
Methodology
Each histogram is a 12-bucket equal-width binning of the qualifying-player population's values. Bucket bounds run from min to max across the population — no fixed domain. The labels on the left are the bucket's lower bound; the count on the right is how many players fell into it. Bar widths are normalized to the largest-count bucket (so the longest bar = 100% of the panel width).

Qualifying thresholds are the same as on the Leaders page — ~1× games-per-team in PA for batters and outs for pitchers, scaled with games played.

Percentiles use linear interpolation (matches numpy percentile() default). σ is population standard deviation across the qualifying group.

The Decay distribution is restricted to pitchers with cross-arc sample (faced batters in both arc-1 and arc-3), so the n on that panel is lower than the rest of the pitching panels. Pitchers without enough sample to compute Decay aren't binned.

xRA is the non-negative linear-weights expected runs allowed (HR=1.4, single≈0.45, BB/HBP=0.32, K/out=0), multiplicatively anchored so league xRA matches league xRA. K-BB% is plain (K - BB) / BF.
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