Distributions

League-wide player histograms · 454 games played · 1263 qualifying batters (11+ PA) · 819 qualifying pitchers (11+ outs)
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Player ID 815 not found in the qualifying population — no histogram marker shown.

Batting distributions

PAVG n=1263 · μ=0.368 · σ=0.134
0.000
13
0.065
29
0.130
73
0.194
147
0.259
228
0.324
220
0.389
212
0.454
174
0.519
98
0.583
41
0.648
17
0.713
10
10th25th Median 75th90th 95th99th
0.200 0.273 0.364 0.458 0.538 0.588 0.697
OPS n=1263 · μ=1.116 · σ=0.418
0.000
11
0.218
34
0.436
110
0.654
224
0.872
252
1.090
250
1.308
183
1.526
101
1.744
61
1.962
21
2.179
10
2.397
6
10th25th Median 75th90th 95th99th
0.620 0.818 1.091 1.375 1.684 1.833 2.278
OPS+ n=1263 · μ=101 · σ=37.447
0
11
20
37
39
109
59
212
78
256
98
253
118
179
137
105
157
60
176
27
196
11
215
3
10th25th Median 75th90th 95th99th
56 74 98 124 151 166 199
wOBA n=1263 · μ=0.485 · σ=0.244
0.000
55
0.128
160
0.256
259
0.383
281
0.511
217
0.639
126
0.767
81
0.895
49
1.023
16
1.150
11
1.278
7
1.406
0
10th25th Median 75th90th 95th99th
0.205 0.309 0.462 0.622 0.809 0.926 1.185
BAVG n=1263 · μ=0.419 · σ=0.152
0.000
12
0.075
29
0.150
80
0.225
151
0.300
220
0.375
242
0.450
218
0.525
152
0.600
99
0.675
39
0.750
15
0.825
5
10th25th Median 75th90th 95th99th
0.231 0.310 0.417 0.522 0.615 0.667 0.766
ISO n=1263 · μ=0.262 · σ=0.192
0.000
275
0.096
251
0.192
272
0.288
178
0.385
134
0.481
61
0.577
50
0.673
16
0.769
14
0.865
7
0.962
4
1.058
1
10th25th Median 75th90th 95th99th
0.053 0.117 0.235 0.364 0.526 0.635 0.833
BABIP n=1263 · μ=0.500 · σ=0.166
0.000
11
0.083
22
0.167
37
0.250
104
0.333
202
0.417
193
0.500
301
0.583
170
0.667
129
0.750
65
0.833
24
0.917
5
10th25th Median 75th90th 95th99th
0.286 0.387 0.500 0.611 0.714 0.772 0.864
K% n=1263 · μ=18.4% · σ=10.5%
0.0%
116
6.1%
247
12.1%
299
18.2%
283
24.2%
166
30.3%
70
36.4%
55
42.4%
11
48.5%
5
54.5%
9
60.6%
1
66.7%
1
10th25th Median 75th90th 95th99th
6.3% 11.1% 17.2% 25.0% 31.6% 37.5% 50.0%
BB% n=1263 · μ=10.3% · σ=7.2%
0.0%
196
3.6%
246
7.1%
289
10.7%
169
14.3%
191
17.9%
79
21.4%
32
25.0%
39
28.6%
14
32.1%
6
35.7%
1
39.3%
1
10th25th Median 75th90th 95th99th
0.0% 5.6% 9.1% 14.8% 19.3% 23.5% 30.8%
2C-RBI% n=1263 · μ=4.6% · σ=11.2%
0.0%
1011
8.3%
109
16.7%
70
25.0%
25
33.3%
26
41.7%
1
50.0%
13
58.3%
1
66.7%
3
75.0%
0
83.3%
0
91.7%
4
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 0.0% 16.7% 25.0% 50.0%
2C-Conv% n=1263 · μ=26.5% · σ=43.6%
0.0%
918
8.3%
0
16.7%
0
25.0%
0
33.3%
0
41.7%
0
50.0%
17
58.3%
0
66.7%
4
75.0%
2
83.3%
0
91.7%
322
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 100.0% 100.0% 100.0% 100.0%
MhAB% n=1263 · μ=0.5% · σ=1.7%
0.0%
1151
1.4%
9
2.8%
46
4.2%
20
5.6%
16
6.9%
5
8.3%
8
9.7%
2
11.1%
1
12.5%
2
13.9%
0
15.3%
3
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 0.0% 0.0% 3.8% 8.3%
RISP-AVG n=1263 · μ=0.355 · σ=0.159
0.000
42
0.083
93
0.167
160
0.250
255
0.333
275
0.417
182
0.500
150
0.583
65
0.667
28
0.750
7
0.833
4
0.917
2
10th25th Median 75th90th 95th99th
0.154 0.250 0.346 0.455 0.561 0.625 0.743
RISP-OPS n=1263 · μ=1.088 · σ=0.476
0.000
34
0.264
102
0.528
214
0.792
278
1.056
282
1.319
164
1.583
99
1.847
57
2.111
24
2.375
4
2.639
2
2.903
3
10th25th Median 75th90th 95th99th
0.500 0.750 1.056 1.364 1.736 1.944 2.339
RISP-Conv n=1263 · μ=0.43 · σ=0.227
0.00
87
0.12
159
0.24
256
0.36
280
0.48
193
0.60
149
0.71
72
0.83
40
0.95
14
1.07
9
1.19
2
1.31
2
10th25th Median 75th90th 95th99th
0.17 0.27 0.41 0.57 0.73 0.83 1.07
WAR n=1263 · μ=0.10 · σ=0.272
-0.47
36
-0.25
418
-0.03
467
0.19
207
0.40
78
0.62
27
0.84
17
1.06
8
1.28
3
1.50
0
1.71
1
1.93
1
10th25th Median 75th90th 95th99th
-0.16 -0.08 0.04 0.21 0.42 0.61 1.05

Pitching distributions

wERA n=819 · μ=14.29 · σ=6.648
0.00
7
3.76
88
7.52
216
11.28
191
15.05
150
18.81
82
22.57
37
26.33
23
30.09
12
33.85
8
37.62
4
41.38
1
10th25th Median 75th90th 95th99th
7.13 9.65 13.00 17.53 22.88 27.23 36.28
xRA n=819 · μ=14.29 · σ=6.648
0.00
7
3.76
88
7.52
216
11.28
191
15.05
150
18.81
82
22.57
37
26.33
23
30.09
12
33.85
8
37.62
4
41.38
1
10th25th Median 75th90th 95th99th
7.13 9.65 13.00 17.53 22.88 27.23 36.28
Decay n=319 · μ=+2.8 · σ=25.450
-97.3
3
-82.3
1
-67.3
1
-52.3
13
-37.3
30
-22.3
52
-7.3
83
+7.7
63
+22.7
51
+37.7
16
+52.7
4
+67.7
2
10th25th Median 75th90th 95th99th
-29.1 -11.3 +2.7 +19.4 +33.5 +39.4 +58.5
GSc avg n=819 · μ=50.8 · σ=6.916
26.4
7
30.3
7
34.3
25
38.3
47
42.3
104
46.3
181
50.3
203
54.3
146
58.3
72
62.3
16
66.3
5
70.3
6
10th25th Median 75th90th 95th99th
42.0 46.7 51.1 55.4 58.9 61.3 67.6
GSc+ n=819 · μ=102 · σ=13.786
55
9
63
7
71
26
79
52
86
108
94
189
102
208
110
128
118
67
126
18
134
2
141
5
10th25th Median 75th90th 95th99th
85 94 103 111 119 123 133
FOP n=819 · μ=63 · σ=12.153
17
3
23
8
29
14
35
21
41
42
47
62
53
99
58
131
64
190
70
158
76
75
82
16
10th25th Median 75th90th 95th99th
46 56 65 71 76 79 83
OS+ n=819 · μ=123 · σ=66.521
40
143
70
250
99
150
128
100
158
59
187
38
217
21
246
19
276
15
305
6
335
10
364
8
10th25th Median 75th90th 95th99th
58 78 102 146 211 270 359
GE n=819 · μ=0.9 · σ=0.486
0.4
366
0.7
205
1.0
125
1.2
47
1.5
32
1.8
16
2.1
10
2.3
7
2.6
4
2.9
3
3.2
1
3.4
3
10th25th Median 75th90th 95th99th
0.4 0.6 0.7 1.0 1.5 1.9 2.8
K% n=819 · μ=25.1% · σ=9.6%
0.0%
6
5.2%
35
10.4%
98
15.6%
147
20.8%
168
26.0%
144
31.2%
128
36.5%
50
41.7%
29
46.9%
8
52.1%
4
57.3%
2
10th25th Median 75th90th 95th99th
13.0% 18.8% 24.2% 31.6% 37.5% 42.1% 50.0%
BB% n=819 · μ=10.3% · σ=5.7%
0.0%
58
2.8%
113
5.6%
137
8.3%
156
11.1%
152
13.9%
80
16.7%
65
19.4%
38
22.2%
14
25.0%
3
27.8%
2
30.6%
1
10th25th Median 75th90th 95th99th
3.6% 6.2% 10.0% 13.8% 18.2% 20.0% 23.9%
HR% n=819 · μ=3.3% · σ=3.9%
0.0%
377
2.1%
151
4.2%
127
6.2%
76
8.3%
38
10.4%
20
12.5%
18
14.6%
4
16.7%
4
18.8%
2
20.8%
0
22.9%
2
10th25th Median 75th90th 95th99th
0.0% 0.0% 2.6% 5.3% 8.6% 11.1% 15.9%
K-BB% n=819 · μ=8.9% · σ=11.3%
-23.5%
4
-18.0%
16
-12.5%
38
-6.9%
78
-1.4%
147
4.1%
171
9.7%
143
15.2%
103
20.7%
56
26.3%
35
31.8%
17
37.3%
11
10th25th Median 75th90th 95th99th
-4.8% 0.0% 8.0% 15.8% 23.8% 29.5% 37.5%
oAVG n=819 · μ=0.397 · σ=0.113
0.000
2
0.060
4
0.119
14
0.179
43
0.238
90
0.298
141
0.357
165
0.417
161
0.476
107
0.536
57
0.595
29
0.655
6
10th25th Median 75th90th 95th99th
0.253 0.320 0.400 0.475 0.546 0.586 0.649
WAR n=819 · μ=0.17 · σ=0.303
-0.69
9
-0.47
43
-0.24
143
-0.02
292
0.21
221
0.43
68
0.66
23
0.88
8
1.10
7
1.33
3
1.55
0
1.78
2
10th25th Median 75th90th 95th99th
-0.16 -0.01 0.14 0.30 0.50 0.67 1.19
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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