Distributions

League-wide player histograms · 720 games played · 1152 qualifying batters (18+ PA) · 811 qualifying pitchers (18+ outs)
Players Teams
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Player ID 1121 not found in the qualifying population — no histogram marker shown.

Batting distributions

PAVG n=1152 · μ=0.361 · σ=0.117
0.048
18
0.111
39
0.174
117
0.237
201
0.301
227
0.364
231
0.427
150
0.490
103
0.554
49
0.617
16
0.680
0
0.743
1
10th25th Median 75th90th 95th99th
0.217 0.278 0.357 0.440 0.516 0.559 0.624
OPS n=1152 · μ=1.096 · σ=0.370
0.150
12
0.358
51
0.566
155
0.774
257
0.982
262
1.190
177
1.398
123
1.606
68
1.813
35
2.021
10
2.229
1
2.437
1
10th25th Median 75th90th 95th99th
0.650 0.841 1.058 1.324 1.600 1.761 2.027
OPS+ n=1152 · μ=102 · σ=34.214
14
11
33
48
52
152
71
252
90
277
110
167
129
123
148
77
167
32
186
11
205
1
225
0
10th25th Median 75th90th 95th99th
60 78 98 123 150 162 189
wOBA n=1152 · μ=0.481 · σ=0.221
0.045
48
0.167
172
0.290
275
0.413
254
0.535
170
0.658
113
0.781
68
0.904
33
1.026
11
1.149
5
1.272
1
1.394
2
10th25th Median 75th90th 95th99th
0.228 0.324 0.438 0.611 0.792 0.894 1.103
BAVG n=1152 · μ=0.411 · σ=0.134
0.050
12
0.115
28
0.181
75
0.246
152
0.311
208
0.376
226
0.442
175
0.507
132
0.572
79
0.638
47
0.703
15
0.768
3
10th25th Median 75th90th 95th99th
0.250 0.318 0.400 0.500 0.590 0.647 0.714
ISO n=1152 · μ=0.256 · σ=0.164
0.000
146
0.087
268
0.174
268
0.261
176
0.348
136
0.436
75
0.523
42
0.610
24
0.697
9
0.784
4
0.871
1
0.958
3
10th25th Median 75th90th 95th99th
0.071 0.136 0.222 0.351 0.481 0.561 0.743
BABIP n=1152 · μ=0.490 · σ=0.137
0.059
2
0.130
25
0.201
39
0.271
102
0.342
150
0.413
257
0.484
190
0.555
197
0.626
115
0.697
53
0.767
17
0.838
4
10th25th Median 75th90th 95th99th
0.312 0.400 0.485 0.586 0.667 0.709 0.800
K% n=1152 · μ=18.5% · σ=9.0%
0.0%
51
5.3%
164
10.5%
247
15.8%
275
21.1%
190
26.3%
130
31.6%
55
36.8%
27
42.1%
5
47.4%
6
52.6%
1
57.9%
1
10th25th Median 75th90th 95th99th
7.5% 11.8% 17.6% 23.8% 30.0% 33.3% 42.5%
BB% n=1152 · μ=10.2% · σ=5.7%
0.0%
76
2.5%
132
5.1%
184
7.6%
201
10.1%
203
12.7%
155
15.2%
94
17.8%
51
20.3%
30
22.8%
8
25.4%
11
27.9%
7
10th25th Median 75th90th 95th99th
3.6% 5.9% 10.0% 13.7% 17.4% 20.0% 26.9%
2C-RBI% n=1152 · μ=4.5% · σ=8.8%
0.0%
889
8.3%
164
16.7%
54
25.0%
28
33.3%
9
41.7%
2
50.0%
3
58.3%
1
66.7%
0
75.0%
0
83.3%
0
91.7%
2
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 7.1% 14.3% 20.0% 34.5%
2C-Conv% n=1152 · μ=36.5% · σ=47.4%
0.0%
717
8.3%
0
16.7%
0
25.0%
0
33.3%
1
41.7%
0
50.0%
17
58.3%
0
66.7%
12
75.0%
3
83.3%
1
91.7%
401
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 100.0% 100.0% 100.0% 100.0%
MhAB% n=1152 · μ=0.4% · σ=1.1%
0.0%
1007
0.6%
0
1.3%
10
1.9%
55
2.6%
29
3.2%
18
3.8%
13
4.5%
8
5.1%
1
5.8%
9
6.4%
0
7.1%
2
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 0.0% 2.1% 3.0% 5.3%
RISP-AVG n=1152 · μ=0.349 · σ=0.134
0.000
15
0.074
64
0.148
111
0.222
227
0.296
234
0.370
213
0.444
169
0.519
70
0.593
37
0.667
9
0.741
1
0.815
2
10th25th Median 75th90th 95th99th
0.174 0.256 0.342 0.443 0.520 0.582 0.659
RISP-OPS n=1152 · μ=1.070 · σ=0.406
0.000
5
0.236
61
0.472
164
0.708
246
0.944
245
1.181
206
1.417
125
1.653
63
1.889
25
2.125
9
2.361
2
2.597
1
10th25th Median 75th90th 95th99th
0.562 0.786 1.039 1.324 1.615 1.778 2.110
RISP-Conv n=1152 · μ=0.42 · σ=0.188
0.00
34
0.09
73
0.19
186
0.28
203
0.38
224
0.47
189
0.56
109
0.66
66
0.75
44
0.84
17
0.94
4
1.03
3
10th25th Median 75th90th 95th99th
0.20 0.28 0.40 0.54 0.68 0.76 0.89
WAR n=1152 · μ=0.17 · σ=0.423
-0.69
22
-0.41
227
-0.13
449
0.16
224
0.44
109
0.72
64
1.00
29
1.28
12
1.57
11
1.85
3
2.13
0
2.41
1
10th25th Median 75th90th 95th99th
-0.23 -0.11 0.06 0.34 0.75 0.99 1.66

Pitching distributions

wERA n=811 · μ=13.35 · σ=5.147
2.61
32
6.03
158
9.45
243
12.88
168
16.30
120
19.72
52
23.14
23
26.56
12
29.99
2
33.41
0
36.83
0
40.25
1
10th25th Median 75th90th 95th99th
7.57 9.58 12.53 16.49 20.18 22.74 28.16
xRA n=811 · μ=13.35 · σ=5.147
2.61
32
6.03
158
9.45
243
12.88
168
16.30
120
19.72
52
23.14
23
26.56
12
29.99
2
33.41
0
36.83
0
40.25
1
10th25th Median 75th90th 95th99th
7.57 9.58 12.53 16.49 20.18 22.74 28.16
Decay n=467 · μ=+1.9 · σ=22.158
-88.3
4
-73.8
1
-59.3
2
-44.7
24
-30.2
60
-15.6
111
-1.1
132
+13.4
86
+28.0
37
+42.5
6
+57.1
2
+71.6
2
10th25th Median 75th90th 95th99th
-25.8 -10.8 +2.5 +15.6 +27.9 +35.5 +52.1
GSc avg n=811 · μ=50.2 · σ=5.898
29.0
4
32.5
9
36.0
23
39.5
51
42.9
109
46.4
178
49.9
213
53.4
135
56.9
66
60.3
14
63.8
4
67.3
5
10th25th Median 75th90th 95th99th
42.6 46.8 50.2 53.9 57.2 59.1 64.2
GSc+ n=811 · μ=102 · σ=11.958
59
4
66
11
74
27
81
60
88
115
96
223
103
201
111
108
118
44
125
12
133
2
140
4
10th25th Median 75th90th 95th99th
87 95 102 109 116 120 129
FOP n=811 · μ=63 · σ=10.501
19
1
24
3
30
9
35
14
41
34
46
57
52
77
57
136
62
188
68
177
73
92
79
23
10th25th Median 75th90th 95th99th
49 57 64 70 75 77 81
OS+ n=811 · μ=121 · σ=60.663
42
152
71
221
99
166
127
101
155
73
184
26
212
15
240
29
268
10
297
9
325
2
353
7
10th25th Median 75th90th 95th99th
64 78 104 145 198 254 336
GE n=811 · μ=1.3 · σ=0.698
0.7
344
1.0
184
1.4
113
1.7
70
2.0
31
2.4
25
2.7
18
3.1
5
3.4
6
3.8
11
4.1
0
4.5
4
10th25th Median 75th90th 95th99th
0.7 0.9 1.1 1.6 2.2 2.8 4.0
K% n=811 · μ=25.5% · σ=8.4%
3.1%
6
7.3%
27
11.4%
64
15.6%
109
19.7%
157
23.9%
152
28.0%
132
32.2%
75
36.3%
52
40.5%
23
44.6%
10
48.8%
4
10th25th Median 75th90th 95th99th
14.7% 19.6% 25.0% 31.0% 36.8% 40.0% 46.2%
BB% n=811 · μ=10.4% · σ=4.6%
0.0%
22
2.6%
78
5.1%
125
7.7%
195
10.3%
163
12.8%
107
15.4%
71
17.9%
34
20.5%
13
23.1%
2
25.6%
0
28.2%
1
10th25th Median 75th90th 95th99th
4.8% 7.1% 10.0% 13.3% 16.7% 18.6% 21.6%
HR% n=811 · μ=3.2% · σ=3.3%
0.0%
270
1.4%
159
2.8%
133
4.2%
77
5.6%
67
6.9%
38
8.3%
27
9.7%
15
11.1%
7
12.5%
5
13.9%
6
15.3%
7
10th25th Median 75th90th 95th99th
0.0% 0.0% 2.6% 4.9% 7.7% 9.7% 14.6%
K-BB% n=811 · μ=9.2% · σ=9.6%
-17.2%
7
-12.4%
15
-7.5%
55
-2.7%
115
2.1%
153
7.0%
154
11.8%
144
16.7%
87
21.5%
42
26.4%
26
31.2%
8
36.1%
4
10th25th Median 75th90th 95th99th
-2.5% 2.3% 8.7% 15.4% 21.4% 25.9% 33.3%
oAVG n=811 · μ=0.385 · σ=0.095
0.067
4
0.120
7
0.173
28
0.226
62
0.280
123
0.333
203
0.386
144
0.440
129
0.493
79
0.546
25
0.599
5
0.653
2
10th25th Median 75th90th 95th99th
0.268 0.320 0.380 0.455 0.512 0.538 0.587
WAR n=811 · μ=0.25 · σ=0.385
-0.86
2
-0.61
26
-0.36
88
-0.11
217
0.14
249
0.39
136
0.64
41
0.89
30
1.14
8
1.39
7
1.64
4
1.88
3
10th25th Median 75th90th 95th99th
-0.16 -0.00 0.21 0.42 0.68 0.98 1.53
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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