Distributions

League-wide player histograms · 45 games played · 474 qualifying batters (3+ PA) · 358 qualifying pitchers (3+ outs)
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Player ID 132 not found in the qualifying population — no histogram marker shown.

Batting distributions

PAVG n=474 · μ=0.391 · σ=0.211
0.000
47
0.083
16
0.167
37
0.250
49
0.333
115
0.417
41
0.500
78
0.583
23
0.667
43
0.750
19
0.833
4
0.917
2
10th25th Median 75th90th 95th99th
0.094 0.250 0.385 0.500 0.667 0.750 0.833
OPS n=474 · μ=1.202 · σ=0.595
0.000
27
0.278
36
0.556
76
0.833
62
1.111
108
1.389
73
1.667
39
1.944
27
2.222
12
2.500
10
2.778
3
3.056
1
10th25th Median 75th90th 95th99th
0.400 0.750 1.214 1.580 2.000 2.250 2.667
OPS+ n=474 · μ=96 · σ=47.689
0
27
22
36
44
71
66
66
88
100
110
78
132
43
154
26
176
15
198
8
220
3
242
1
10th25th Median 75th90th 95th99th
32 61 97 126 158 178 213
wOBA n=474 · μ=0.538 · σ=0.276
0.000
41
0.130
33
0.259
68
0.389
80
0.519
99
0.649
66
0.778
46
0.908
22
1.038
10
1.167
7
1.297
1
1.427
1
10th25th Median 75th90th 95th99th
0.168 0.335 0.541 0.709 0.890 1.000 1.223
BAVG n=474 · μ=0.477 · σ=0.256
0.000
46
0.104
23
0.208
39
0.312
76
0.417
104
0.521
45
0.625
67
0.729
34
0.833
16
0.938
23
1.042
0
1.146
1
10th25th Median 75th90th 95th99th
0.125 0.333 0.500 0.667 0.800 0.941 1.000
ISO n=474 · μ=0.256 · σ=0.272
0.000
181
0.125
78
0.250
88
0.375
44
0.500
37
0.625
17
0.750
11
0.875
3
1.000
7
1.125
5
1.250
2
1.375
1
10th25th Median 75th90th 95th99th
0.000 0.000 0.200 0.375 0.615 0.800 1.167
BABIP n=474 · μ=0.584 · σ=0.298
0.000
53
0.111
7
0.222
11
0.333
48
0.444
88
0.556
44
0.667
101
0.778
39
0.889
7
1.000
73
1.111
2
1.222
1
10th25th Median 75th90th 95th99th
0.000 0.433 0.600 0.800 1.000 1.000 1.000
K% n=474 · μ=20.5% · σ=17.0%
0.0%
118
6.7%
60
13.3%
59
20.0%
80
26.7%
26
33.3%
64
40.0%
28
46.7%
24
53.3%
3
60.0%
2
66.7%
7
73.3%
3
10th25th Median 75th90th 95th99th
0.0% 7.1% 19.4% 33.3% 42.9% 50.0% 66.7%
BB% n=474 · μ=13.8% · σ=13.3%
0.0%
164
6.2%
71
12.5%
77
18.8%
45
25.0%
55
31.2%
41
37.5%
14
43.8%
1
50.0%
3
56.2%
1
62.5%
0
68.8%
2
10th25th Median 75th90th 95th99th
0.0% 0.0% 12.5% 23.1% 33.3% 33.3% 50.0%
2C-RBI% n=474 · μ=2.6% · σ=11.2%
0.0%
441
8.3%
2
16.7%
7
25.0%
7
33.3%
6
41.7%
0
50.0%
6
58.3%
0
66.7%
3
75.0%
0
83.3%
0
91.7%
2
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 0.0% 0.0% 23.2% 54.5%
2C-Conv% n=474 · μ=8.0% · σ=27.2%
0.0%
436
8.3%
0
16.7%
0
25.0%
0
33.3%
0
41.7%
0
50.0%
0
58.3%
0
66.7%
0
75.0%
0
83.3%
0
91.7%
38
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 0.0% 0.0% 100.0% 100.0%
MhAB% n=474 · μ=0.3% · σ=1.8%
0.0%
463
1.7%
0
3.3%
0
5.0%
0
6.7%
0
8.3%
6
10.0%
1
11.7%
0
13.3%
2
15.0%
0
16.7%
1
18.3%
1
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 9.3%
RISP-AVG n=474 · μ=0.376 · σ=0.252
0.000
81
0.083
13
0.167
32
0.250
54
0.333
97
0.417
26
0.500
76
0.583
26
0.667
32
0.750
16
0.833
4
0.917
17
10th25th Median 75th90th 95th99th
0.000 0.222 0.375 0.500 0.667 0.800 1.000
RISP-OPS n=474 · μ=1.163 · σ=0.674
0.000
47
0.333
55
0.667
62
1.000
123
1.333
80
1.667
40
2.000
44
2.333
13
2.667
4
3.000
4
3.333
1
3.667
1
10th25th Median 75th90th 95th99th
0.333 0.667 1.125 1.593 2.000 2.262 3.000
RISP-Conv n=474 · μ=0.48 · σ=0.386
0.00
125
0.25
118
0.50
118
0.75
57
1.00
43
1.25
5
1.50
4
1.75
0
2.00
2
2.25
0
2.50
1
2.75
1
10th25th Median 75th90th 95th99th
0.00 0.20 0.43 0.71 1.00 1.00 1.50
WAR n=474 · μ=0.03 · σ=0.097
-0.22
2
-0.16
16
-0.11
64
-0.06
102
-0.01
108
0.05
76
0.10
48
0.15
30
0.20
18
0.26
6
0.31
2
0.36
1
10th25th Median 75th90th 95th99th
-0.08 -0.04 0.02 0.09 0.16 0.21 0.30

Pitching distributions

wERA n=358 · μ=20.32 · σ=14.058
0.00
48
7.70
113
15.39
82
23.09
45
30.78
39
38.48
11
46.18
11
53.87
2
61.57
3
69.26
2
76.96
0
84.66
2
10th25th Median 75th90th 95th99th
7.06 10.12 16.72 26.92 36.35 47.56 70.43
xRA n=358 · μ=20.32 · σ=14.058
0.00
48
7.70
113
15.39
82
23.09
45
30.78
39
38.48
11
46.18
11
53.87
2
61.57
3
69.26
2
76.96
0
84.66
2
10th25th Median 75th90th 95th99th
7.06 10.12 16.72 26.92 36.35 47.56 70.43
Decay n=27 · μ=+2.3 · σ=40.976
-82.3
1
-67.3
0
-52.3
3
-37.3
2
-22.3
6
-7.3
5
+7.7
3
+22.7
2
+37.7
1
+52.7
1
+67.7
2
+82.7
1
10th25th Median 75th90th 95th99th
-45.2 -20.7 -6.2 +23.9 +62.0 +74.6 +91.9
GSc avg n=358 · μ=49.8 · σ=6.653
32.2
6
35.0
9
37.7
14
40.5
31
43.3
42
46.1
55
48.9
58
51.6
45
54.4
45
57.2
28
60.0
22
62.8
3
10th25th Median 75th90th 95th99th
41.0 45.3 49.8 54.7 58.8 60.6 62.6
GSc+ n=358 · μ=103 · σ=13.609
67
7
73
10
78
17
84
27
89
43
95
52
100
50
106
48
111
44
117
33
122
20
127
7
10th25th Median 75th90th 95th99th
84 93 103 113 121 125 129
FOP n=358 · μ=57 · σ=13.435
17
5
22
5
28
13
33
18
38
19
44
23
49
38
55
69
60
62
66
52
71
44
76
10
10th25th Median 75th90th 95th99th
37 50 59 67 73 75 80
OS+ n=358 · μ=118 · σ=40.763
40
16
56
10
73
85
90
81
106
11
123
57
139
10
156
51
173
25
189
0
206
9
222
3
10th25th Median 75th90th 95th99th
80 80 106 146 173 186 212
GE n=358 · μ=0.2 · σ=0.098
0.1
130
0.2
55
0.2
66
0.2
38
0.3
19
0.3
22
0.4
12
0.4
4
0.5
6
0.5
2
0.5
3
0.6
1
10th25th Median 75th90th 95th99th
0.1 0.1 0.2 0.3 0.3 0.4 0.5
K% n=358 · μ=30.4% · σ=16.8%
0.0%
18
7.1%
31
14.3%
59
21.4%
58
28.6%
59
35.7%
43
42.9%
28
50.0%
32
57.1%
22
64.3%
2
71.4%
5
78.6%
1
10th25th Median 75th90th 95th99th
12.5% 16.7% 28.6% 42.6% 55.6% 57.1% 75.0%
BB% n=358 · μ=13.2% · σ=11.9%
0.0%
112
5.6%
36
11.1%
95
16.7%
24
22.2%
40
27.8%
18
33.3%
27
38.9%
5
44.4%
0
50.0%
0
55.6%
0
61.1%
1
10th25th Median 75th90th 95th99th
0.0% 0.0% 12.5% 22.2% 28.6% 37.5% 42.2%
HR% n=358 · μ=2.9% · σ=5.8%
0.0%
269
2.4%
0
4.8%
6
7.1%
32
9.5%
12
11.9%
8
14.3%
17
16.7%
4
19.0%
3
21.4%
2
23.8%
3
26.2%
2
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 0.0% 12.5% 14.3% 25.0%
K-BB% n=358 · μ=9.6% · σ=21.7%
-66.7%
1
-54.9%
0
-43.1%
7
-31.2%
20
-19.4%
47
-7.6%
89
4.2%
79
16.0%
44
27.8%
36
39.6%
23
51.4%
9
63.2%
2
10th25th Median 75th90th 95th99th
-14.3% 0.0% 9.5% 22.2% 37.5% 50.0% 62.5%
oAVG n=358 · μ=0.441 · σ=0.195
0.000
14
0.083
9
0.167
27
0.250
38
0.333
73
0.417
33
0.500
75
0.583
37
0.667
30
0.750
12
0.833
8
0.917
2
10th25th Median 75th90th 95th99th
0.193 0.333 0.429 0.571 0.696 0.750 0.839
WAR n=358 · μ=0.05 · σ=0.114
-0.32
3
-0.26
3
-0.20
13
-0.14
22
-0.08
52
-0.02
55
0.04
85
0.10
67
0.16
35
0.22
14
0.28
6
0.34
3
10th25th Median 75th90th 95th99th
-0.09 -0.03 0.06 0.12 0.19 0.23 0.30
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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