Distributions

League-wide player histograms · 955 games played · 308 qualifying batters (79+ PA) · 192 qualifying pitchers (79+ outs)
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Player ID 6851 not found in the qualifying population — no histogram marker shown.

Batting distributions

PAVG n=308 · μ=0.238 · σ=0.086
0.083
15
0.127
49
0.171
71
0.215
75
0.258
40
0.302
20
0.346
17
0.390
11
0.433
5
0.477
3
0.521
1
0.565
1
10th25th Median 75th90th 95th99th
0.150 0.177 0.226 0.275 0.362 0.401 0.485
OPS n=308 · μ=0.771 · σ=0.272
0.287
13
0.423
43
0.559
87
0.694
68
0.830
44
0.966
15
1.102
13
1.238
15
1.373
2
1.509
5
1.645
1
1.781
2
10th25th Median 75th90th 95th99th
0.499 0.584 0.719 0.890 1.150 1.324 1.615
OPS+ n=308 · μ=103 · σ=36.221
39
14
57
50
76
87
94
71
113
36
131
15
149
11
168
14
186
3
205
5
223
1
241
1
10th25th Median 75th90th 95th99th
66 78 94 117 153 174 219
wOBA n=308 · μ=0.393 · σ=0.155
0.131
13
0.206
50
0.281
94
0.356
57
0.431
38
0.505
22
0.580
9
0.655
13
0.730
4
0.805
4
0.879
1
0.954
3
10th25th Median 75th90th 95th99th
0.239 0.288 0.351 0.455 0.616 0.705 0.894
BAVG n=308 · μ=0.284 · σ=0.105
0.094
15
0.149
53
0.205
72
0.260
80
0.316
34
0.372
21
0.427
16
0.483
8
0.538
5
0.594
3
0.649
0
0.705
1
10th25th Median 75th90th 95th99th
0.175 0.211 0.268 0.324 0.431 0.497 0.594
ISO n=308 · μ=0.143 · σ=0.100
0.009
42
0.057
96
0.105
68
0.153
39
0.201
24
0.248
9
0.296
13
0.344
8
0.392
2
0.440
4
0.488
2
0.535
1
10th25th Median 75th90th 95th99th
0.050 0.070 0.119 0.183 0.282 0.345 0.481
BABIP n=308 · μ=0.397 · σ=0.100
0.167
6
0.220
22
0.273
45
0.326
65
0.379
70
0.432
49
0.485
19
0.538
18
0.591
9
0.644
4
0.697
0
0.749
1
10th25th Median 75th90th 95th99th
0.278 0.333 0.389 0.450 0.539 0.582 0.659
K% n=308 · μ=28.5% · σ=8.1%
5.8%
4
9.5%
12
13.1%
12
16.7%
25
20.4%
29
24.0%
42
27.6%
63
31.3%
53
34.9%
36
38.5%
25
42.2%
4
45.8%
3
10th25th Median 75th90th 95th99th
16.8% 23.7% 29.3% 33.7% 38.7% 41.3% 45.4%
BB% n=308 · μ=13.4% · σ=3.3%
5.4%
4
7.0%
15
8.7%
38
10.3%
47
11.9%
59
13.5%
65
15.1%
29
16.7%
28
18.3%
12
19.9%
7
21.5%
2
23.1%
2
10th25th Median 75th90th 95th99th
9.3% 11.0% 13.3% 15.2% 17.5% 19.1% 21.9%
2C-RBI% n=308 · μ=2.8% · σ=4.4%
0.0%
194
2.3%
32
4.5%
38
6.8%
14
9.1%
8
11.4%
10
13.6%
5
15.9%
4
18.2%
2
20.5%
0
22.7%
0
25.0%
1
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 4.8% 8.6% 11.8% 16.6%
2C-Conv% n=308 · μ=43.2% · σ=49.0%
0.0%
172
8.3%
0
16.7%
0
25.0%
0
33.3%
0
41.7%
0
50.0%
3
58.3%
0
66.7%
1
75.0%
4
83.3%
1
91.7%
127
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 100.0% 100.0% 100.0% 100.0%
MhAB% n=308 · μ=0.2% · σ=0.5%
0.0%
261
0.2%
0
0.5%
10
0.7%
11
0.9%
12
1.2%
4
1.4%
2
1.6%
3
1.9%
0
2.1%
2
2.4%
0
2.6%
2
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 0.0% 0.8% 1.1% 2.3%
RISP-AVG n=308 · μ=0.229 · σ=0.090
0.048
5
0.091
34
0.135
63
0.179
62
0.223
58
0.267
38
0.311
17
0.355
13
0.398
9
0.442
7
0.486
0
0.530
2
10th25th Median 75th90th 95th99th
0.122 0.163 0.218 0.273 0.355 0.408 0.471
RISP-OPS n=308 · μ=0.766 · σ=0.277
0.238
7
0.368
37
0.498
63
0.629
64
0.759
58
0.889
36
1.019
11
1.149
13
1.279
9
1.410
3
1.540
5
1.670
2
10th25th Median 75th90th 95th99th
0.453 0.577 0.732 0.895 1.168 1.305 1.626
RISP-Conv n=308 · μ=0.30 · σ=0.127
0.07
16
0.14
55
0.20
69
0.26
58
0.32
54
0.38
21
0.45
13
0.51
8
0.57
5
0.63
6
0.69
1
0.76
2
10th25th Median 75th90th 95th99th
0.16 0.20 0.28 0.36 0.47 0.55 0.67
WAR n=308 · μ=0.52 · σ=1.353
-1.77
14
-0.97
91
-0.18
100
0.62
52
1.42
20
2.21
13
3.01
6
3.81
4
4.60
4
5.40
3
6.19
0
6.99
1
10th25th Median 75th90th 95th99th
-0.64 -0.33 0.16 0.96 2.09 3.49 5.73

Pitching distributions

wERA n=192 · μ=8.28 · σ=2.584
3.38
9
5.05
47
6.72
56
8.38
41
10.05
21
11.72
12
13.38
4
15.05
0
16.72
0
18.38
1
20.05
0
21.72
1
10th25th Median 75th90th 95th99th
5.50 6.47 7.93 9.69 11.70 12.34 15.28
xRA n=192 · μ=8.28 · σ=2.584
3.38
9
5.05
47
6.72
56
8.38
41
10.05
21
11.72
12
13.38
4
15.05
0
16.72
0
18.38
1
20.05
0
21.72
1
10th25th Median 75th90th 95th99th
5.50 6.47 7.93 9.69 11.70 12.34 15.28
Decay n=190 · μ=+0.1 · σ=13.584
-30.7
7
-21.8
20
-12.8
47
-3.8
54
+5.1
43
+14.1
10
+23.0
4
+32.0
4
+40.9
0
+49.9
0
+58.8
0
+67.8
1
10th25th Median 75th90th 95th99th
-17.6 -7.5 -0.4 +7.5 +13.3 +21.0 +34.2
GSc avg n=192 · μ=48.4 · σ=4.315
32.6
1
34.7
0
36.8
0
38.8
7
40.9
13
43.0
22
45.1
31
47.1
40
49.2
31
51.3
21
53.4
16
55.5
10
10th25th Median 75th90th 95th99th
42.9 45.5 48.4 51.2 54.6 55.4 57.4
GSc+ n=192 · μ=102 · σ=9.016
69
1
73
0
78
0
82
7
86
13
91
26
95
33
100
35
104
32
108
22
113
15
117
8
10th25th Median 75th90th 95th99th
90 95 101 108 114 117 120
FOP n=192 · μ=61 · σ=8.424
34
2
38
1
42
6
46
18
51
17
55
30
59
38
63
33
67
27
71
15
75
4
79
1
10th25th Median 75th90th 95th99th
49 55 62 67 71 73 77
OS+ n=192 · μ=119 · σ=43.216
49
16
64
21
78
25
93
30
108
23
123
12
138
18
152
12
167
14
182
11
197
6
212
4
10th25th Median 75th90th 95th99th
67 86 110 151 184 195 217
GE n=192 · μ=6.8 · σ=3.174
2.9
45
4.0
30
5.2
23
6.3
25
7.4
21
8.5
8
9.7
14
10.8
9
11.9
8
13.0
3
14.2
3
15.3
3
10th25th Median 75th90th 95th99th
3.3 4.2 6.1 8.5 11.4 12.7 15.4
K% n=192 · μ=35.4% · σ=7.1%
19.1%
5
22.1%
10
25.1%
16
28.1%
24
31.1%
33
34.1%
24
37.1%
28
40.1%
22
43.2%
17
46.2%
11
49.2%
1
52.2%
1
10th25th Median 75th90th 95th99th
26.3% 30.6% 34.9% 40.5% 44.4% 47.4% 49.0%
BB% n=192 · μ=13.7% · σ=3.1%
6.6%
4
8.0%
13
9.3%
20
10.7%
22
12.1%
33
13.4%
28
14.8%
34
16.2%
19
17.5%
10
18.9%
3
20.2%
4
21.6%
2
10th25th Median 75th90th 95th99th
9.5% 11.4% 13.6% 15.8% 17.3% 18.8% 21.6%
HR% n=192 · μ=1.8% · σ=1.2%
0.0%
24
0.6%
38
1.2%
39
1.8%
38
2.3%
26
2.9%
11
3.5%
6
4.1%
5
4.7%
2
5.3%
2
5.8%
0
6.4%
1
10th25th Median 75th90th 95th99th
0.4% 0.9% 1.7% 2.4% 3.2% 4.0% 5.5%
K-BB% n=192 · μ=15.7% · σ=8.0%
-4.1%
4
-0.7%
8
2.7%
7
6.1%
20
9.4%
30
12.8%
34
16.2%
34
19.5%
18
22.9%
14
26.3%
12
29.6%
8
33.0%
3
10th25th Median 75th90th 95th99th
6.1% 10.3% 15.7% 21.0% 26.6% 29.8% 33.2%
oAVG n=192 · μ=0.269 · σ=0.066
0.129
4
0.161
18
0.193
31
0.225
39
0.257
32
0.289
29
0.320
16
0.352
15
0.384
4
0.416
2
0.448
0
0.479
2
10th25th Median 75th90th 95th99th
0.193 0.220 0.260 0.310 0.356 0.373 0.432
WAR n=192 · μ=0.80 · σ=1.048
-2.19
1
-1.66
2
-1.13
7
-0.60
25
-0.07
40
0.45
50
0.98
21
1.51
23
2.04
9
2.57
7
3.10
5
3.63
2
10th25th Median 75th90th 95th99th
-0.36 0.07 0.62 1.43 2.32 2.74 3.52
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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