Distributions

League-wide player histograms · 753 games played · 1121 qualifying batters (19+ PA) · 796 qualifying pitchers (19+ outs)
JSON
Players Teams
Clear
Player ID 2998 not found in the qualifying population — no histogram marker shown.

Batting distributions

PAVG n=1121 · μ=0.360 · σ=0.116
0.043
16
0.103
27
0.162
84
0.222
153
0.281
217
0.341
231
0.400
163
0.460
125
0.519
70
0.578
29
0.638
5
0.697
1
10th25th Median 75th90th 95th99th
0.211 0.281 0.357 0.440 0.515 0.556 0.622
OPS n=1121 · μ=1.095 · σ=0.367
0.150
7
0.347
44
0.544
132
0.741
224
0.938
259
1.135
187
1.332
112
1.529
87
1.726
45
1.923
20
2.120
3
2.317
1
10th25th Median 75th90th 95th99th
0.654 0.842 1.053 1.314 1.595 1.761 2.013
OPS+ n=1121 · μ=102 · σ=33.854
14
8
32
45
50
120
68
219
86
257
105
191
123
116
141
95
159
45
177
21
195
3
214
1
10th25th Median 75th90th 95th99th
61 77 98 123 148 161 186
wOBA n=1121 · μ=0.481 · σ=0.217
0.034
32
0.148
131
0.263
225
0.377
273
0.492
173
0.606
118
0.720
87
0.835
48
0.949
24
1.064
4
1.178
5
1.292
1
10th25th Median 75th90th 95th99th
0.233 0.326 0.439 0.613 0.787 0.889 1.046
BAVG n=1121 · μ=0.410 · σ=0.133
0.050
11
0.113
26
0.175
69
0.237
120
0.300
195
0.362
217
0.425
173
0.487
132
0.550
97
0.613
58
0.675
19
0.738
4
10th25th Median 75th90th 95th99th
0.243 0.318 0.400 0.500 0.591 0.640 0.714
ISO n=1121 · μ=0.255 · σ=0.161
0.000
115
0.079
232
0.158
246
0.236
179
0.315
137
0.394
94
0.473
60
0.552
29
0.631
18
0.709
4
0.788
4
0.867
3
10th25th Median 75th90th 95th99th
0.077 0.136 0.222 0.349 0.478 0.556 0.706
BABIP n=1121 · μ=0.489 · σ=0.136
0.059
3
0.130
23
0.201
32
0.271
99
0.342
160
0.413
239
0.484
197
0.555
178
0.626
128
0.697
43
0.767
14
0.838
4
10th25th Median 75th90th 95th99th
0.312 0.400 0.486 0.586 0.667 0.702 0.804
K% n=1121 · μ=18.6% · σ=8.8%
0.0%
50
5.3%
146
10.5%
260
15.8%
262
21.1%
194
26.3%
125
31.6%
51
36.8%
22
42.1%
4
47.4%
5
52.6%
1
57.9%
1
10th25th Median 75th90th 95th99th
8.1% 12.0% 17.9% 23.8% 30.0% 33.3% 41.7%
BB% n=1121 · μ=10.3% · σ=5.6%
0.0%
71
2.7%
156
5.3%
158
8.0%
237
10.6%
188
13.3%
154
15.9%
76
18.6%
42
21.2%
18
23.9%
12
26.5%
6
29.2%
3
10th25th Median 75th90th 95th99th
3.7% 6.2% 10.0% 13.6% 17.2% 20.0% 26.2%
2C-RBI% n=1121 · μ=4.3% · σ=8.2%
0.0%
866
8.3%
165
16.7%
55
25.0%
21
33.3%
7
41.7%
2
50.0%
3
58.3%
1
66.7%
0
75.0%
0
83.3%
0
91.7%
1
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 7.1% 14.3% 20.0% 33.3%
2C-Conv% n=1121 · μ=37.8% · σ=47.8%
0.0%
683
8.3%
0
16.7%
0
25.0%
0
33.3%
1
41.7%
0
50.0%
16
58.3%
0
66.7%
12
75.0%
4
83.3%
1
91.7%
404
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 100.0% 100.0% 100.0% 100.0%
MhAB% n=1121 · μ=0.4% · σ=1.1%
0.0%
972
0.6%
0
1.1%
8
1.7%
41
2.3%
38
2.9%
23
3.4%
13
4.0%
10
4.6%
6
5.2%
1
5.7%
6
6.3%
3
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 0.0% 2.1% 2.9% 5.0%
RISP-AVG n=1121 · μ=0.349 · σ=0.132
0.000
11
0.071
53
0.143
102
0.214
187
0.286
244
0.357
203
0.429
167
0.500
94
0.571
41
0.643
16
0.714
2
0.786
1
10th25th Median 75th90th 95th99th
0.176 0.258 0.333 0.440 0.522 0.579 0.655
RISP-OPS n=1121 · μ=1.072 · σ=0.399
0.000
4
0.226
44
0.452
128
0.679
238
0.905
236
1.131
218
1.357
124
1.583
82
1.810
32
2.036
13
2.262
1
2.488
1
10th25th Median 75th90th 95th99th
0.583 0.793 1.042 1.318 1.632 1.783 2.111
RISP-Conv n=1121 · μ=0.42 · σ=0.186
0.00
25
0.09
72
0.19
177
0.28
201
0.38
232
0.47
170
0.56
109
0.66
70
0.75
42
0.84
16
0.94
6
1.03
1
10th25th Median 75th90th 95th99th
0.20 0.29 0.41 0.53 0.68 0.76 0.88
WAR n=1121 · μ=0.18 · σ=0.447
-0.76
15
-0.47
170
-0.18
433
0.11
243
0.40
124
0.70
74
0.99
26
1.28
15
1.57
15
1.86
3
2.16
1
2.45
2
10th25th Median 75th90th 95th99th
-0.24 -0.11 0.06 0.37 0.79 1.02 1.75

Pitching distributions

wERA n=796 · μ=13.36 · σ=4.966
2.61
13
4.98
53
7.34
133
9.70
163
12.06
137
14.43
114
16.79
84
19.15
48
21.52
22
23.88
14
26.24
10
28.61
4
10th25th Median 75th90th 95th99th
7.73 9.72 12.62 16.48 20.03 22.52 27.45
xRA n=796 · μ=13.36 · σ=4.966
2.61
13
4.98
53
7.34
133
9.70
163
12.06
137
14.43
114
16.79
84
19.15
48
21.52
22
23.88
14
26.24
10
28.61
4
10th25th Median 75th90th 95th99th
7.73 9.72 12.62 16.48 20.03 22.52 27.45
Decay n=480 · μ=+1.3 · σ=21.457
-88.5
4
-74.6
0
-60.7
2
-46.9
17
-33.0
52
-19.1
97
-5.2
137
+8.6
96
+22.5
58
+36.4
12
+50.3
4
+64.1
1
10th25th Median 75th90th 95th99th
-25.8 -12.0 +2.0 +14.6 +27.7 +35.0 +48.4
GSc avg n=796 · μ=50.1 · σ=5.798
28.8
4
32.3
8
35.8
21
39.3
50
42.8
104
46.3
179
49.7
211
53.2
130
56.7
65
60.2
15
63.7
4
67.2
5
10th25th Median 75th90th 95th99th
42.6 46.7 50.1 53.7 57.0 59.3 64.3
GSc+ n=796 · μ=102 · σ=11.759
59
3
66
9
73
27
81
52
88
110
95
220
103
214
110
98
118
45
125
11
132
3
140
4
10th25th Median 75th90th 95th99th
87 95 102 109 116 121 129
FOP n=796 · μ=63 · σ=10.078
29
7
33
6
38
16
42
32
47
42
51
76
56
98
60
146
65
152
69
128
74
73
79
20
10th25th Median 75th90th 95th99th
49 57 64 70 75 77 81
OS+ n=796 · μ=121 · σ=60.403
44
148
72
219
101
161
129
110
157
63
185
24
213
21
241
22
269
14
297
6
325
4
353
4
10th25th Median 75th90th 95th99th
64 78 105 147 199 257 326
GE n=796 · μ=1.4 · σ=0.733
0.7
351
1.1
201
1.5
100
1.9
58
2.3
34
2.7
23
3.1
10
3.5
6
3.9
6
4.3
4
4.7
2
5.1
1
10th25th Median 75th90th 95th99th
0.8 0.9 1.2 1.6 2.4 2.9 4.1
K% n=796 · μ=25.4% · σ=8.2%
3.1%
4
7.3%
23
11.4%
68
15.6%
108
19.7%
159
23.9%
151
28.0%
128
32.2%
70
36.3%
53
40.5%
20
44.6%
9
48.8%
3
10th25th Median 75th90th 95th99th
14.9% 19.6% 25.0% 30.8% 36.7% 39.2% 45.8%
BB% n=796 · μ=10.5% · σ=4.5%
0.0%
22
2.6%
69
5.1%
122
7.7%
188
10.3%
170
12.8%
113
15.4%
66
17.9%
31
20.5%
12
23.1%
2
25.6%
0
28.2%
1
10th25th Median 75th90th 95th99th
4.9% 7.3% 10.3% 13.3% 16.3% 18.4% 21.6%
HR% n=796 · μ=3.2% · σ=3.1%
0.0%
251
1.4%
167
2.8%
132
4.2%
81
5.6%
66
6.9%
34
8.3%
29
9.7%
17
11.1%
7
12.5%
4
13.9%
5
15.3%
3
10th25th Median 75th90th 95th99th
0.0% 0.0% 2.6% 4.8% 7.6% 9.4% 13.8%
K-BB% n=796 · μ=9.0% · σ=9.4%
-17.2%
7
-12.4%
14
-7.6%
53
-2.7%
109
2.1%
169
6.9%
145
11.7%
124
16.6%
99
21.4%
43
26.2%
22
31.1%
7
35.9%
3
10th25th Median 75th90th 95th99th
-2.4% 2.5% 8.3% 15.4% 21.1% 25.1% 31.7%
oAVG n=796 · μ=0.386 · σ=0.093
0.067
4
0.118
6
0.170
19
0.221
57
0.273
118
0.325
175
0.376
150
0.428
124
0.479
95
0.531
39
0.583
7
0.634
2
10th25th Median 75th90th 95th99th
0.268 0.323 0.382 0.455 0.510 0.536 0.583
WAR n=796 · μ=0.26 · σ=0.405
-0.75
9
-0.48
53
-0.21
180
0.06
261
0.32
169
0.59
62
0.86
33
1.12
15
1.39
7
1.66
1
1.92
4
2.19
1
10th25th Median 75th90th 95th99th
-0.17 -0.00 0.21 0.43 0.74 1.00 1.51
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.
Compare basket · 0 max 4
Compare →