Distributions

League-wide player histograms · 1544 games played · 298 qualifying batters (128+ PA) · 200 qualifying pitchers (128+ outs)
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Players Teams
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Marking Alfredo Frame CLE on every histogram below. Compare ↗

Batting distributions

PAVG n=298 · μ=0.226 · σ=0.077
0.095
14
0.135
64
0.175
81
0.215
64
0.255
35
0.295
11
0.335
10
0.375
9
0.415
3
0.455
5
0.495
1
0.535
1
10th25th Median 75th90th 95th99th
0.150 0.174 0.211 0.255 0.329 0.396 0.486
OPS n=298 · μ=0.732 · σ=0.250
0.327
10
0.456
75
0.584
89
0.712
61
0.841
27
0.969
11
1.097
3
1.226
11
1.354
3
1.482
4
1.610
3
1.739
1
10th25th Median 75th90th 95th99th
0.501 0.572 0.672 0.799 1.043 1.282 1.619
OPS+ n=298 · μ=101 · σ=34.730
47
15
65
79
83
101
101
52
120
17
138
9
156
6
174
9
193
3
211
4
229
2
247
0
10th25th Median 75th90th 95th99th
69 79 93 110 143 179 224
wOBA n=298 · μ=0.379 · σ=0.143
0.158
13
0.230
89
0.302
80
0.375
56
0.447
24
0.519
11
0.591
4
0.663
10
0.736
3
0.808
3
0.880
4
0.952
1
10th25th Median 75th90th 95th99th
0.251 0.284 0.344 0.420 0.548 0.709 0.897
BAVG n=298 · μ=0.268 · σ=0.095
0.110
16
0.160
73
0.211
83
0.262
64
0.313
24
0.364
12
0.415
8
0.466
9
0.517
3
0.567
5
0.618
0
0.669
1
10th25th Median 75th90th 95th99th
0.175 0.205 0.250 0.298 0.392 0.483 0.574
ISO n=298 · μ=0.130 · σ=0.092
0.012
38
0.054
96
0.096
70
0.138
34
0.180
27
0.222
6
0.264
8
0.306
7
0.348
4
0.390
1
0.432
2
0.474
5
10th25th Median 75th90th 95th99th
0.049 0.071 0.104 0.159 0.235 0.322 0.487
BABIP n=298 · μ=0.382 · σ=0.088
0.193
8
0.240
27
0.288
56
0.335
75
0.383
65
0.430
32
0.478
12
0.525
13
0.572
5
0.620
3
0.667
1
0.715
1
10th25th Median 75th90th 95th99th
0.282 0.324 0.372 0.423 0.497 0.550 0.624
K% n=298 · μ=29.3% · σ=7.3%
6.9%
3
10.1%
9
13.2%
12
16.4%
8
19.5%
22
22.7%
18
25.8%
55
29.0%
57
32.1%
53
35.3%
37
38.5%
19
41.6%
5
10th25th Median 75th90th 95th99th
18.3% 26.3% 30.4% 34.2% 37.5% 39.6% 41.9%
BB% n=298 · μ=13.1% · σ=2.7%
4.7%
1
6.1%
4
7.5%
8
8.9%
25
10.3%
50
11.7%
72
13.1%
55
14.5%
36
15.9%
24
17.3%
13
18.7%
7
20.1%
3
10th25th Median 75th90th 95th99th
9.9% 11.3% 12.9% 15.0% 16.8% 18.0% 20.0%
2C-RBI% n=298 · μ=2.3% · σ=3.1%
0.0%
158
1.0%
15
2.1%
27
3.1%
31
4.2%
22
5.2%
13
6.2%
8
7.3%
2
8.3%
4
9.4%
6
10.4%
8
11.5%
4
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 3.9% 6.4% 9.7% 12.3%
2C-Conv% n=298 · μ=50.3% · σ=49.0%
0.0%
143
8.3%
0
16.7%
0
25.0%
0
33.3%
0
41.7%
0
50.0%
6
58.3%
0
66.7%
1
75.0%
5
83.3%
4
91.7%
139
10th25th Median 75th90th 95th99th
0.0% 0.0% 58.3% 100.0% 100.0% 100.0% 100.0%
MhAB% n=298 · μ=0.2% · σ=0.4%
0.0%
239
0.2%
1
0.4%
23
0.5%
9
0.7%
8
0.9%
7
1.1%
4
1.2%
2
1.4%
1
1.6%
2
1.8%
1
2.0%
1
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 0.0% 0.6% 1.0% 1.6%
RISP-AVG n=298 · μ=0.217 · σ=0.077
0.070
6
0.106
34
0.141
52
0.177
75
0.213
53
0.249
37
0.285
15
0.321
8
0.357
3
0.392
7
0.428
4
0.464
4
10th25th Median 75th90th 95th99th
0.134 0.161 0.204 0.252 0.314 0.387 0.470
RISP-OPS n=298 · μ=0.730 · σ=0.242
0.333
14
0.442
49
0.550
63
0.658
78
0.767
41
0.875
19
0.983
9
1.092
6
1.200
8
1.309
2
1.417
3
1.525
6
10th25th Median 75th90th 95th99th
0.485 0.571 0.689 0.814 1.010 1.259 1.536
RISP-Conv n=298 · μ=0.29 · σ=0.111
0.09
12
0.15
48
0.20
71
0.25
63
0.30
45
0.35
27
0.41
11
0.46
6
0.51
4
0.56
2
0.62
7
0.67
2
10th25th Median 75th90th 95th99th
0.18 0.21 0.27 0.33 0.41 0.50 0.66
WAR n=298 · μ=0.65 · σ=1.834
-2.45
7
-1.36
86
-0.28
105
0.81
55
1.89
21
2.97
6
4.06
5
5.14
6
6.22
5
7.31
0
8.39
0
9.47
1
10th25th Median 75th90th 95th99th
-0.96 -0.50 0.16 1.22 2.57 4.68 6.75

Pitching distributions

wERA n=200 · μ=7.61 · σ=1.991
2.98
3
4.14
14
5.30
43
6.46
●
49
7.61
40
8.77
30
9.93
10
11.09
9
12.24
0
13.40
0
14.56
0
15.72
2
10th25th Median 75th90th 95th99th
5.39 6.26 7.43 8.86 9.93 11.10 11.88
Highlighted player: 6.75 · approximate percentile: 25–50th
xRA n=200 · μ=7.61 · σ=1.991
2.98
3
4.14
14
5.30
43
6.46
●
49
7.61
40
8.77
30
9.93
10
11.09
9
12.24
0
13.40
0
14.56
0
15.72
2
10th25th Median 75th90th 95th99th
5.39 6.26 7.43 8.86 9.93 11.10 11.88
Highlighted player: 6.75 · approximate percentile: 25–50th
Decay n=196 · μ=+1.0 · σ=12.166
-30.3
6
-21.6
14
-13.0
41
-4.4
60
+4.3
●
56
+12.9
10
+21.5
7
+30.1
1
+38.8
0
+47.4
0
+56.0
0
+64.7
1
10th25th Median 75th90th 95th99th
-13.0 -6.3 +1.1 +8.0 +12.8 +17.1 +29.7
Highlighted player: +8.3 · approximate percentile: 75–90th
GSc avg n=200 · μ=48.8 · σ=3.797
37.3
1
39.2
3
41.1
7
43.1
17
45.0
34
47.0
47
48.9
●
36
50.9
23
52.8
20
54.8
9
56.7
2
58.7
1
10th25th Median 75th90th 95th99th
43.9 46.1 48.6 51.2 54.3 54.9 57.3
Highlighted player: 49.7 · approximate percentile: 50–75th
GSc+ n=200 · μ=102 · σ=7.910
79
1
83
4
86
10
90
18
94
31
98
41
102
●
37
106
22
110
18
114
14
118
3
122
1
10th25th Median 75th90th 95th99th
92 97 102 107 113 115 120
Highlighted player: 105 · approximate percentile: 50–75th
FOP n=200 · μ=61 · σ=7.905
36
2
40
1
44
4
48
14
52
26
56
31
60
49
64
●
33
68
19
72
13
76
7
80
1
10th25th Median 75th90th 95th99th
52 56 62 66 72 74 78
Highlighted player: 64 · approximate percentile: 50–75th
OS+ n=200 · μ=121 · σ=43.711
44
9
59
20
74
23
88
29
103
28
118
16
132
13
147
●
18
162
13
176
17
191
8
206
6
10th25th Median 75th90th 95th99th
70 87 112 154 185 196 213
Highlighted player: 147 · approximate percentile: 50–75th
GE n=200 · μ=10.7 · σ=4.975
4.7
47
6.4
35
8.1
23
9.7
20
11.4
●
18
13.0
14
14.7
11
16.4
14
18.0
1
19.7
8
21.3
5
23.0
4
10th25th Median 75th90th 95th99th
5.3 6.5 9.5 13.6 17.9 20.3 24.0
Highlighted player: 12.5 · approximate percentile: 50–75th
K% n=200 · μ=36.1% · σ=6.4%
20.7%
4
23.6%
9
26.5%
17
29.5%
29
32.4%
29
35.3%
39
38.2%
●
29
41.2%
22
44.1%
12
47.0%
7
49.9%
1
52.9%
2
10th25th Median 75th90th 95th99th
27.8% 31.7% 36.0% 40.7% 44.2% 46.9% 51.2%
Highlighted player: 38.4% · approximate percentile: 50–75th
BB% n=200 · μ=13.6% · σ=2.8%
6.1%
2
7.3%
4
8.5%
12
9.7%
17
10.9%
30
12.1%
27
13.3%
29
14.5%
●
35
15.8%
21
17.0%
10
18.2%
9
19.4%
4
10th25th Median 75th90th 95th99th
10.3% 11.6% 13.7% 15.6% 17.2% 18.5% 20.3%
Highlighted player: 15.3% · approximate percentile: 50–75th
HR% n=200 · μ=1.6% · σ=1.0%
0.0%
26
0.5%
●
37
1.0%
43
1.5%
38
2.0%
25
2.5%
15
3.0%
8
3.5%
4
4.0%
1
4.5%
0
5.0%
2
5.5%
1
10th25th Median 75th90th 95th99th
0.5% 0.9% 1.5% 2.1% 2.9% 3.4% 5.2%
Highlighted player: 0.9% · approximate percentile: 25–50th
K-BB% n=200 · μ=16.5% · σ=7.4%
-0.5%
8
3.0%
10
6.5%
18
10.0%
32
13.5%
40
17.0%
●
38
20.5%
27
24.0%
11
27.6%
8
31.1%
6
34.6%
1
38.1%
1
10th25th Median 75th90th 95th99th
7.3% 11.6% 16.5% 20.8% 26.3% 29.6% 33.7%
Highlighted player: 17.4% · approximate percentile: 50–75th
oAVG n=200 · μ=0.253 · σ=0.052
0.112
2
0.139
3
0.167
17
0.194
●
42
0.221
38
0.249
32
0.276
34
0.304
15
0.331
14
0.358
1
0.386
0
0.413
2
10th25th Median 75th90th 95th99th
0.190 0.213 0.246 0.286 0.319 0.348 0.362
Highlighted player: 0.219 · approximate percentile: 25–50th
WAR n=200 · μ=1.19 · σ=1.407
-2.21
2
-1.51
5
-0.81
20
-0.11
46
0.59
51
1.30
●
31
2.00
19
2.70
10
3.40
8
4.10
2
4.80
5
5.50
1
10th25th Median 75th90th 95th99th
-0.19 0.25 0.94 1.86 3.26 3.96 5.24
Highlighted player: 1.79 · approximate percentile: 50–75th
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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