Distributions

League-wide player histograms · 561 games played · 494 qualifying batters (31+ PA) · 338 qualifying pitchers (31+ outs)
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Marking Fred Inglis NYM on every histogram below. Compare ↗

Batting distributions

PAVG n=494 · μ=0.405 · σ=0.141
0.045
2
0.105
13
0.165
34
0.225
70
0.285
●
70
0.344
58
0.404
77
0.464
63
0.524
43
0.584
38
0.644
24
0.703
2
10th25th Median 75th90th 95th99th
0.226 0.286 0.405 0.508 0.605 0.644 0.685
Highlighted player: 0.326 · approximate percentile: 25–50th
OPS n=494 · μ=1.199 · σ=0.429
0.295
7
0.466
33
0.638
69
0.809
70
0.980
●
67
1.151
60
1.322
54
1.493
45
1.664
44
1.835
31
2.006
13
2.177
1
10th25th Median 75th90th 95th99th
0.667 0.833 1.154 1.531 1.818 1.950 2.067
Highlighted player: 1.065 · approximate percentile: 25–50th
OPS+ n=494 · μ=101 · σ=36.158
25
8
39
33
54
68
68
71
83
●
68
98
59
112
58
127
42
141
47
156
30
171
9
185
1
10th25th Median 75th90th 95th99th
56 71 98 130 154 163 173
Highlighted player: 91 · approximate percentile: 25–50th
wOBA n=494 · μ=0.538 · σ=0.206
0.145
22
0.230
51
0.315
80
0.400
68
0.485
●
70
0.570
58
0.655
44
0.740
48
0.825
32
0.910
18
0.995
2
1.080
1
10th25th Median 75th90th 95th99th
0.294 0.369 0.514 0.693 0.838 0.902 0.977
Highlighted player: 0.489 · approximate percentile: 25–50th
BAVG n=494 · μ=0.467 · σ=0.166
0.056
2
0.124
13
0.193
40
0.261
70
0.330
●
59
0.399
64
0.467
71
0.536
69
0.604
36
0.673
45
0.742
20
0.810
4
10th25th Median 75th90th 95th99th
0.250 0.329 0.467 0.593 0.703 0.742 0.793
Highlighted player: 0.385 · approximate percentile: 25–50th
ISO n=494 · μ=0.261 · σ=0.164
0.000
48
0.072
84
0.145
104
0.217
●
74
0.290
55
0.362
47
0.435
38
0.507
22
0.580
13
0.652
7
0.725
1
0.797
1
10th25th Median 75th90th 95th99th
0.073 0.137 0.229 0.367 0.499 0.560 0.659
Highlighted player: 0.261 · approximate percentile: 50–75th
BABIP n=494 · μ=0.598 · σ=0.166
0.125
2
0.205
8
0.284
31
0.364
58
0.443
●
65
0.523
84
0.603
96
0.682
65
0.762
49
0.841
24
0.921
8
1.000
4
10th25th Median 75th90th 95th99th
0.375 0.476 0.600 0.714 0.816 0.865 0.973
Highlighted player: 0.483 · approximate percentile: 25–50th
K% n=494 · μ=22.6% · σ=10.3%
1.9%
14
6.8%
59
11.7%
82
16.6%
●
87
21.4%
91
26.3%
64
31.2%
34
36.1%
34
41.0%
19
45.8%
6
50.7%
3
55.6%
1
10th25th Median 75th90th 95th99th
9.8% 14.9% 21.8% 28.8% 37.6% 41.2% 50.0%
Highlighted player: 19.6% · approximate percentile: 25–50th
BB% n=494 · μ=11.0% · σ=4.4%
0.0%
6
2.2%
18
4.3%
57
6.5%
67
8.7%
106
10.8%
●
91
13.0%
72
15.2%
38
17.3%
19
19.5%
14
21.7%
3
23.8%
3
10th25th Median 75th90th 95th99th
5.5% 8.1% 10.6% 13.7% 16.5% 18.8% 22.2%
Highlighted player: 10.9% · approximate percentile: 50–75th
2C-RBI% n=494 · μ=18.9% · σ=15.0%
0.0%
●
122
8.3%
119
16.7%
104
25.0%
76
33.3%
33
41.7%
16
50.0%
17
58.3%
3
66.7%
1
75.0%
0
83.3%
0
91.7%
3
10th25th Median 75th90th 95th99th
0.0% 8.3% 16.7% 26.1% 37.9% 48.0% 60.1%
Highlighted player: 5.0% · approximate percentile: 10–25th
2C-Conv% n=494 · μ=64.9% · σ=29.3%
0.0%
31
8.3%
5
16.7%
15
25.0%
28
33.3%
30
41.7%
12
50.0%
58
58.3%
34
66.7%
45
75.0%
64
83.3%
65
91.7%
●
107
10th25th Median 75th90th 95th99th
22.5% 50.0% 71.4% 88.9% 100.0% 100.0% 100.0%
Highlighted player: 100.0% · approximate percentile: 75–90th
MhAB% n=494 · μ=2.9% · σ=3.0%
0.0%
●
186
1.4%
94
2.7%
75
4.1%
43
5.4%
31
6.8%
32
8.1%
13
9.5%
11
10.9%
5
12.2%
1
13.6%
2
14.9%
1
10th25th Median 75th90th 95th99th
0.0% 0.0% 2.4% 4.3% 7.1% 8.6% 12.2%
Highlighted player: 0.0% · approximate percentile: ≤ 10th
RISP-AVG n=494 · μ=0.427 · σ=0.184
0.000
4
0.083
24
0.167
48
0.250
●
87
0.333
94
0.417
66
0.500
63
0.583
50
0.667
35
0.750
12
0.833
7
0.917
4
10th25th Median 75th90th 95th99th
0.200 0.282 0.407 0.555 0.674 0.730 0.909
Highlighted player: 0.314 · approximate percentile: 25–50th
RISP-OPS n=494 · μ=1.257 · σ=0.524
0.214
18
0.439
42
0.663
79
0.888
●
79
1.113
78
1.337
60
1.562
43
1.786
50
2.011
28
2.235
12
2.460
3
2.685
2
10th25th Median 75th90th 95th99th
0.627 0.844 1.193 1.648 2.000 2.127 2.454
Highlighted player: 0.971 · approximate percentile: 25–50th
RISP-Conv n=494 · μ=0.49 · σ=0.232
0.00
10
0.12
47
0.25
118
0.38
●
116
0.50
65
0.62
62
0.75
36
0.88
25
1.00
13
1.12
1
1.25
0
1.38
1
10th25th Median 75th90th 95th99th
0.23 0.31 0.45 0.65 0.80 0.93 1.05
Highlighted player: 0.49 · approximate percentile: 50–75th
WAR n=494 · μ=0.18 · σ=0.582
-0.98
10
-0.73
34
-0.48
93
-0.23
●
91
0.02
85
0.27
56
0.52
40
0.77
31
1.02
26
1.28
16
1.53
8
1.78
4
10th25th Median 75th90th 95th99th
-0.44 -0.25 0.06 0.54 1.07 1.29 1.75
Highlighted player: 0.01 · approximate percentile: 25–50th

Pitching distributions

wERA n=338 · μ=10.06 · σ=3.640
2.89
16
4.51
28
6.12
50
7.73
62
9.35
54
10.96
51
12.58
31
14.19
21
15.80
11
17.42
11
19.03
1
20.65
2
10th25th Median 75th90th 95th99th
5.46 7.49 9.82 12.19 14.87 16.41 18.65
xRA n=338 · μ=10.19 · σ=3.223
3.72
7
5.16
35
6.59
57
8.03
64
9.46
40
10.89
47
12.33
37
13.76
27
15.20
14
16.63
5
18.06
2
19.50
3
10th25th Median 75th90th 95th99th
6.30 7.73 9.66 12.48 14.63 15.65 18.61
Decay n=250 · μ=+2.8 · σ=19.509
-76.0
2
-65.4
0
-54.8
0
-44.2
6
-33.5
10
-22.9
36
-12.3
43
-1.7
57
+8.9
51
+19.6
22
+30.2
20
+40.8
3
10th25th Median 75th90th 95th99th
-19.6 -8.9 +3.3 +15.0 +27.9 +35.2 +43.6
GSc avg n=338 · μ=49.8 · σ=5.184
30.1
1
33.1
1
36.1
9
39.1
17
42.2
31
45.2
59
48.2
85
51.3
71
54.3
42
57.3
19
60.3
2
63.4
1
10th25th Median 75th90th 95th99th
42.8 47.0 49.9 53.4 56.4 57.7 60.0
GSc+ n=338 · μ=101 · σ=10.430
62
1
68
2
73
9
79
17
85
22
91
63
97
74
103
76
109
44
115
26
121
3
127
1
10th25th Median 75th90th 95th99th
87 95 101 108 114 117 121
FOP n=338 · μ=52 · σ=9.747
23
1
27
4
32
15
36
28
41
37
45
51
50
53
54
58
59
46
63
31
68
11
72
3
10th25th Median 75th90th 95th99th
38 45 53 59 65 67 71
OS+ n=338 · μ=121 · σ=55.850
43
47
69
80
94
79
119
45
145
27
170
21
195
12
221
13
246
7
271
4
297
2
322
1
10th25th Median 75th90th 95th99th
64 79 108 145 205 241 286
GE n=338 · μ=2.3 · σ=1.182
1.1
133
1.8
94
2.4
37
3.0
25
3.6
23
4.2
12
4.9
5
5.5
6
6.1
0
6.7
0
7.3
2
7.9
1
10th25th Median 75th90th 95th99th
1.3 1.5 2.0 2.8 4.0 4.6 6.0
K% n=338 · μ=30.4% · σ=7.4%
8.5%
2
12.6%
6
16.7%
20
20.8%
44
24.9%
82
29.1%
69
33.2%
55
37.3%
30
41.4%
21
45.5%
7
49.7%
0
53.8%
2
10th25th Median 75th90th 95th99th
21.3% 25.6% 29.7% 35.2% 40.3% 42.9% 47.2%
BB% n=338 · μ=10.9% · σ=3.9%
2.3%
11
4.2%
22
6.0%
40
7.9%
61
9.7%
68
11.5%
55
13.4%
37
15.2%
20
17.1%
14
18.9%
7
20.8%
2
22.6%
0
10th25th Median 75th90th 95th99th
6.2% 8.2% 10.6% 13.2% 15.8% 17.9% 20.4%
HR% n=338 · μ=3.6% · σ=2.7%
0.0%
61
1.2%
69
2.3%
47
3.5%
60
4.7%
33
5.8%
32
7.0%
12
8.2%
9
9.3%
7
10.5%
5
11.6%
1
12.8%
2
10th25th Median 75th90th 95th99th
0.0% 1.6% 3.2% 5.1% 7.1% 8.8% 11.4%
K-BB% n=338 · μ=12.6% · σ=8.1%
-14.1%
1
-9.3%
2
-4.5%
17
0.3%
35
5.1%
75
9.9%
76
14.8%
70
19.6%
35
24.4%
19
29.2%
5
34.0%
2
38.8%
1
10th25th Median 75th90th 95th99th
3.2% 6.9% 11.9% 17.8% 23.2% 26.3% 32.5%
oAVG n=338 · μ=0.446 · σ=0.091
0.145
1
0.191
1
0.236
4
0.282
29
0.327
45
0.372
60
0.418
59
0.463
53
0.508
43
0.554
23
0.599
13
0.644
7
10th25th Median 75th90th 95th99th
0.326 0.377 0.444 0.509 0.564 0.601 0.667
WAR n=338 · μ=0.39 · σ=0.594
-0.58
24
-0.22
103
0.14
112
0.50
41
0.86
26
1.21
17
1.57
7
1.93
5
2.29
0
2.65
1
3.01
1
3.37
1
10th25th Median 75th90th 95th99th
-0.16 0.03 0.26 0.61 1.18 1.50 2.18
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 wERA. K-BB% is plain (K - BB) / BF.
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