Distributions

League-wide player histograms · 468 games played · 496 qualifying batters (26+ PA) · 354 qualifying pitchers (26+ outs)
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Player ID 1080 not found in the qualifying population — no histogram marker shown.

Batting distributions

PAVG n=496 · μ=0.409 · σ=0.140
0.059
3
0.118
13
0.176
34
0.235
74
0.294
71
0.352
55
0.411
69
0.470
68
0.528
46
0.587
39
0.646
17
0.704
7
10th25th Median 75th90th 95th99th
0.235 0.294 0.409 0.515 0.597 0.645 0.720
OPS n=496 · μ=1.208 · σ=0.421
0.233
4
0.408
20
0.582
51
0.757
81
0.931
62
1.106
67
1.280
64
1.455
52
1.630
46
1.804
28
1.979
19
2.153
2
10th25th Median 75th90th 95th99th
0.689 0.863 1.173 1.519 1.800 1.929 2.079
OPS+ n=496 · μ=101 · σ=35.355
19
3
34
20
48
49
63
81
77
59
92
66
106
67
121
52
135
44
150
32
165
20
179
3
10th25th Median 75th90th 95th99th
58 72 99 129 152 160 176
wOBA n=496 · μ=0.543 · σ=0.204
0.102
7
0.186
27
0.270
68
0.354
72
0.438
74
0.523
66
0.607
58
0.691
50
0.775
33
0.859
24
0.943
14
1.027
3
10th25th Median 75th90th 95th99th
0.299 0.375 0.524 0.690 0.831 0.900 1.007
BAVG n=496 · μ=0.473 · σ=0.165
0.074
3
0.141
13
0.208
43
0.275
67
0.342
68
0.409
54
0.476
70
0.543
69
0.611
47
0.678
40
0.745
15
0.812
7
10th25th Median 75th90th 95th99th
0.263 0.339 0.477 0.589 0.704 0.739 0.818
ISO n=496 · μ=0.259 · σ=0.163
0.000
46
0.065
67
0.129
97
0.194
67
0.259
63
0.323
53
0.388
31
0.453
29
0.517
21
0.582
11
0.647
8
0.711
3
10th25th Median 75th90th 95th99th
0.074 0.138 0.225 0.357 0.497 0.565 0.694
BABIP n=496 · μ=0.605 · σ=0.170
0.118
3
0.201
6
0.285
28
0.368
71
0.452
66
0.535
82
0.619
92
0.702
75
0.786
42
0.869
22
0.953
6
1.036
3
10th25th Median 75th90th 95th99th
0.387 0.470 0.607 0.721 0.822 0.878 0.978
K% n=496 · μ=22.2% · σ=10.3%
0.0%
5
4.9%
47
9.8%
72
14.7%
99
19.7%
90
24.6%
76
29.5%
38
34.4%
40
39.3%
12
44.2%
12
49.1%
1
54.1%
4
10th25th Median 75th90th 95th99th
9.5% 14.8% 21.2% 28.6% 36.8% 40.4% 48.3%
BB% n=496 · μ=11.2% · σ=4.9%
0.0%
8
2.3%
27
4.6%
65
6.9%
87
9.3%
100
11.6%
64
13.9%
70
16.2%
41
18.5%
15
20.8%
13
23.1%
0
25.5%
6
10th25th Median 75th90th 95th99th
5.5% 7.5% 10.6% 14.6% 17.3% 19.4% 25.8%
2C-RBI% n=496 · μ=19.0% · σ=15.9%
0.0%
138
8.3%
99
16.7%
100
25.0%
78
33.3%
36
41.7%
21
50.0%
14
58.3%
3
66.7%
3
75.0%
1
83.3%
0
91.7%
3
10th25th Median 75th90th 95th99th
0.0% 7.7% 16.7% 27.0% 40.0% 48.0% 66.7%
2C-Conv% n=496 · μ=65.7% · σ=30.3%
0.0%
37
8.3%
8
16.7%
8
25.0%
22
33.3%
35
41.7%
10
50.0%
53
58.3%
30
66.7%
51
75.0%
61
83.3%
59
91.7%
122
10th25th Median 75th90th 95th99th
20.0% 50.0% 72.1% 90.9% 100.0% 100.0% 100.0%
MhAB% n=496 · μ=2.9% · σ=3.1%
0.0%
196
1.5%
98
3.1%
82
4.6%
39
6.1%
33
7.7%
28
9.2%
10
10.7%
7
12.3%
1
13.8%
0
15.4%
1
16.9%
1
10th25th Median 75th90th 95th99th
0.0% 0.0% 2.5% 4.4% 7.5% 8.9% 12.1%
RISP-AVG n=496 · μ=0.437 · σ=0.188
0.000
6
0.089
27
0.179
66
0.268
80
0.357
104
0.446
65
0.536
62
0.625
43
0.714
28
0.804
6
0.893
6
0.982
3
10th25th Median 75th90th 95th99th
0.209 0.286 0.416 0.564 0.690 0.746 0.941
RISP-OPS n=496 · μ=1.278 · σ=0.529
0.158
11
0.387
36
0.616
77
0.846
72
1.075
81
1.304
61
1.533
56
1.763
51
1.992
31
2.221
10
2.451
7
2.680
3
10th25th Median 75th90th 95th99th
0.633 0.844 1.231 1.650 2.000 2.168 2.581
RISP-Conv n=496 · μ=0.50 · σ=0.234
0.00
12
0.12
50
0.25
111
0.38
107
0.50
72
0.62
68
0.75
41
0.88
18
1.00
12
1.12
2
1.25
2
1.38
1
10th25th Median 75th90th 95th99th
0.23 0.33 0.45 0.65 0.83 0.92 1.06
WAR n=496 · μ=0.16 · σ=0.479
-0.77
17
-0.55
47
-0.33
95
-0.11
104
0.10
88
0.32
44
0.54
37
0.76
29
0.98
18
1.19
11
1.41
4
1.63
1
10th25th Median 75th90th 95th99th
-0.39 -0.19 0.07 0.41 0.83 1.07 1.42

Pitching distributions

wERA n=354 · μ=10.21 · σ=3.780
2.92
14
4.48
26
6.03
56
7.59
62
9.14
47
10.70
50
12.25
36
13.81
26
15.37
18
16.92
8
18.48
7
20.03
4
10th25th Median 75th90th 95th99th
5.81 7.36 9.73 12.61 15.46 16.94 20.12
xRA n=354 · μ=10.18 · σ=3.487
2.69
8
4.67
43
6.66
81
8.65
76
10.63
72
12.62
36
14.61
23
16.59
11
18.58
1
20.56
1
22.55
1
24.54
1
10th25th Median 75th90th 95th99th
6.15 7.66 9.69 12.24 14.88 16.16 18.94
Decay n=240 · μ=+1.9 · σ=20.557
-77.8
3
-67.4
1
-57.0
0
-46.7
4
-36.3
8
-25.9
26
-15.5
35
-5.1
60
+5.3
46
+15.7
26
+26.0
22
+36.4
9
10th25th Median 75th90th 95th99th
-22.3 -9.1 +2.8 +14.8 +29.3 +34.0 +40.7
GSc avg n=354 · μ=50.3 · σ=5.387
34.2
4
36.9
8
39.6
17
42.3
20
45.0
58
47.7
62
50.4
76
53.1
54
55.8
40
58.5
9
61.1
3
63.8
3
10th25th Median 75th90th 95th99th
43.8 47.0 50.6 53.8 57.0 58.0 62.5
GSc+ n=354 · μ=101 · σ=10.717
70
6
75
11
80
11
85
21
91
52
96
69
101
62
106
62
111
43
117
12
122
2
127
3
10th25th Median 75th90th 95th99th
88 95 101 108 114 116 124
FOP n=354 · μ=52 · σ=10.181
18
3
23
0
27
5
32
20
37
32
42
53
47
48
51
63
56
60
61
41
66
20
71
9
10th25th Median 75th90th 95th99th
39 45 53 59 65 68 73
OS+ n=354 · μ=120 · σ=54.478
45
59
72
93
98
72
124
56
151
25
177
16
203
8
229
15
256
5
282
4
308
0
334
1
10th25th Median 75th90th 95th99th
66 82 107 141 199 239 287
GE n=354 · μ=1.9 · σ=0.975
1.0
140
1.5
90
1.9
50
2.4
30
2.9
14
3.4
12
3.9
4
4.4
9
4.9
2
5.4
0
5.9
0
6.4
3
10th25th Median 75th90th 95th99th
1.0 1.2 1.6 2.2 3.1 3.9 5.2
K% n=354 · μ=30.5% · σ=7.4%
9.2%
2
13.3%
9
17.5%
25
21.6%
55
25.7%
79
29.8%
77
33.9%
52
38.0%
28
42.2%
20
46.3%
5
50.4%
0
54.5%
2
10th25th Median 75th90th 95th99th
21.6% 25.6% 30.0% 35.3% 41.0% 43.0% 47.7%
BB% n=354 · μ=11.0% · σ=4.6%
1.7%
16
4.1%
46
6.4%
51
8.8%
85
11.2%
61
13.6%
47
16.0%
22
18.4%
18
20.8%
5
23.1%
2
25.5%
0
27.9%
1
10th25th Median 75th90th 95th99th
5.3% 7.7% 10.6% 13.9% 16.6% 19.4% 22.7%
HR% n=354 · μ=3.6% · σ=3.0%
0.0%
94
1.5%
82
2.9%
64
4.4%
43
5.9%
32
7.4%
15
8.8%
13
10.3%
6
11.8%
2
13.2%
1
14.7%
0
16.2%
2
10th25th Median 75th90th 95th99th
0.0% 1.4% 3.0% 5.2% 7.6% 9.3% 12.2%
K-BB% n=354 · μ=12.5% · σ=8.5%
-15.2%
4
-10.2%
0
-5.2%
10
-0.2%
49
4.8%
69
9.8%
85
14.8%
73
19.8%
38
24.8%
16
29.8%
7
34.8%
2
39.8%
1
10th25th Median 75th90th 95th99th
2.0% 6.6% 12.1% 17.8% 22.9% 26.9% 32.9%
oAVG n=354 · μ=0.444 · σ=0.098
0.125
2
0.176
3
0.226
6
0.277
28
0.327
47
0.378
74
0.428
67
0.479
65
0.529
28
0.580
22
0.631
9
0.681
3
10th25th Median 75th90th 95th99th
0.323 0.379 0.442 0.504 0.576 0.606 0.675
WAR n=354 · μ=0.31 · σ=0.482
-0.49
27
-0.20
91
0.09
114
0.38
62
0.66
36
0.95
5
1.24
8
1.53
5
1.82
3
2.11
0
2.40
1
2.69
2
10th25th Median 75th90th 95th99th
-0.17 0.01 0.23 0.50 0.82 1.26 1.92
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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