Distributions

League-wide player histograms · 454 games played · 1268 qualifying batters (11+ PA) · 819 qualifying pitchers (11+ outs)
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Player ID 1122 not found in the qualifying population — no histogram marker shown.

Batting distributions

PAVG n=1268 · μ=0.366 · σ=0.134
0.000
14
0.065
29
0.130
77
0.194
152
0.259
226
0.324
221
0.389
216
0.454
166
0.519
100
0.583
40
0.648
17
0.713
9
10th25th Median 75th90th 95th99th
0.200 0.273 0.364 0.455 0.537 0.585 0.690
OPS n=1268 · μ=1.110 · σ=0.418
0.000
11
0.215
37
0.431
110
0.646
223
0.861
245
1.076
250
1.292
184
1.507
96
1.722
74
1.938
23
2.153
8
2.368
7
10th25th Median 75th90th 95th99th
0.611 0.818 1.083 1.371 1.684 1.833 2.278
OPS+ n=1268 · μ=101 · σ=37.741
0
11
20
40
39
111
59
219
79
260
99
246
118
178
138
104
158
59
178
26
197
12
217
2
10th25th Median 75th90th 95th99th
56 74 99 125 152 166 200
wOBA n=1268 · μ=0.482 · σ=0.244
0.000
51
0.119
129
0.237
241
0.356
252
0.475
238
0.593
151
0.712
92
0.831
60
0.950
24
1.068
17
1.187
5
1.306
8
10th25th Median 75th90th 95th99th
0.201 0.307 0.458 0.618 0.807 0.926 1.184
BAVG n=1268 · μ=0.418 · σ=0.152
0.000
12
0.075
30
0.150
81
0.225
152
0.300
221
0.375
242
0.450
218
0.525
153
0.600
99
0.675
39
0.750
15
0.825
5
10th25th Median 75th90th 95th99th
0.231 0.308 0.417 0.522 0.615 0.667 0.766
ISO n=1268 · μ=0.260 · σ=0.191
0.000
246
0.089
235
0.179
264
0.268
187
0.357
145
0.446
68
0.536
57
0.625
29
0.714
19
0.804
8
0.893
6
0.982
4
10th25th Median 75th90th 95th99th
0.050 0.113 0.232 0.364 0.526 0.631 0.833
BABIP n=1268 · μ=0.496 · σ=0.166
0.000
11
0.083
22
0.167
44
0.250
104
0.333
206
0.417
194
0.500
300
0.583
171
0.667
128
0.750
60
0.833
23
0.917
5
10th25th Median 75th90th 95th99th
0.286 0.385 0.500 0.600 0.714 0.768 0.863
K% n=1268 · μ=18.3% · σ=10.4%
0.0%
117
6.1%
248
12.1%
304
18.2%
283
24.2%
167
30.3%
68
36.4%
55
42.4%
10
48.5%
5
54.5%
9
60.6%
1
66.7%
1
10th25th Median 75th90th 95th99th
6.2% 11.1% 17.2% 24.1% 31.3% 37.5% 50.0%
BB% n=1268 · μ=10.3% · σ=7.2%
0.0%
198
3.6%
248
7.1%
288
10.7%
168
14.3%
191
17.9%
82
21.4%
30
25.0%
41
28.6%
14
32.1%
6
35.7%
1
39.3%
1
10th25th Median 75th90th 95th99th
0.0% 5.6% 9.1% 14.8% 19.4% 23.8% 30.5%
2C-RBI% n=1268 · μ=4.6% · σ=11.1%
0.0%
1016
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=1268 · μ=26.4% · σ=43.6%
0.0%
923
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=1268 · μ=0.5% · σ=1.7%
0.0%
1156
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=1268 · μ=0.354 · σ=0.159
0.000
44
0.083
93
0.167
162
0.250
255
0.333
276
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 0.340 0.455 0.558 0.625 0.743
RISP-OPS n=1268 · μ=1.086 · σ=0.477
0.000
36
0.264
104
0.528
214
0.792
278
1.056
283
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 1.734 1.942 2.338
RISP-Conv n=1268 · μ=0.43 · σ=0.227
0.00
88
0.12
160
0.24
258
0.36
280
0.48
194
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
0.16 0.27 0.41 0.57 0.73 0.83 1.07
WAR n=1268 · μ=0.10 · σ=0.273
-0.48
29
-0.26
399
-0.04
467
0.18
232
0.40
83
0.62
28
0.84
17
1.06
8
1.28
3
1.50
0
1.72
1
1.94
1
10th25th Median 75th90th 95th99th
-0.16 -0.08 0.04 0.21 0.42 0.61 1.06

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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