Distributions

League-wide player histograms · 1073 games played · 1478 qualifying batters (21+ PA) · 961 qualifying pitchers (21+ outs)
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Marking Rovman Mariappa LB1 on every histogram below. Compare ↗

Batting distributions

PAVG n=1478 · μ=0.306 · σ=0.113
0.000
8
0.054
35
0.108
102
0.161
187
0.215
243
0.269
279
0.323
224
0.377
192
0.431
110
0.484
55
0.538
34
0.592
9
10th25th Median 75th90th 95th99th
0.162 0.225 0.300 0.385 0.458 0.500 0.581
OPS n=1478 · μ=0.980 · σ=0.360
0.143
19
0.324
87
0.506
217
0.688
301
0.869
293
1.051
210
1.232
162
1.414
93
1.596
61
1.777
24
1.959
10
2.140
1
10th25th Median 75th90th 95th99th
0.555 0.714 0.944 1.213 1.485 1.645 1.903
OPS+ n=1478 · μ=103 · σ=36.875
16
20
35
80
54
217
72
301
91
256
109
263
128
156
147
91
165
56
184
28
203
7
221
3
10th25th Median 75th90th 95th99th
58 76 99 125 154 170 196
wOBA n=1478 · μ=0.458 · σ=0.197
0.051
39
0.152
157
0.252
305
0.353
310
0.454
252
0.554
173
0.655
113
0.756
71
0.857
35
0.957
15
1.058
7
1.159
1
10th25th Median 75th90th 95th99th
0.227 0.312 0.428 0.581 0.734 0.833 0.984
BAVG n=1478 · μ=0.366 · σ=0.138
0.000
7
0.065
37
0.130
107
0.195
206
0.260
246
0.325
276
0.390
213
0.455
171
0.520
104
0.585
65
0.650
37
0.715
9
10th25th Median 75th90th 95th99th
0.194 0.263 0.357 0.462 0.559 0.612 0.699
ISO n=1478 · μ=0.214 · σ=0.147
0.000
253
0.075
327
0.150
306
0.225
218
0.299
159
0.374
97
0.449
58
0.524
35
0.599
16
0.674
7
0.749
1
0.823
0
10th25th Median 75th90th 95th99th
0.045 0.100 0.188 0.300 0.429 0.500 0.637
BABIP n=1478 · μ=0.470 · σ=0.142
0.000
1
0.076
17
0.152
49
0.227
108
0.303
217
0.379
297
0.455
277
0.530
253
0.606
167
0.682
67
0.758
19
0.833
6
10th25th Median 75th90th 95th99th
0.286 0.370 0.467 0.568 0.650 0.701 0.789
K% n=1478 · μ=23.4% · σ=10.8%
0.0%
36
5.6%
147
11.1%
248
16.7%
277
22.2%
268
27.8%
228
33.3%
154
38.9%
68
44.4%
27
50.0%
16
55.6%
4
61.1%
5
10th25th Median 75th90th 95th99th
10.0% 15.0% 22.7% 30.4% 37.5% 41.7% 52.2%
BB% n=1478 · μ=13.3% · σ=6.0%
0.0%
46
3.2%
124
6.3%
241
9.5%
298
12.7%
317
15.9%
203
19.0%
129
22.2%
78
25.4%
24
28.6%
11
31.7%
6
34.9%
1
10th25th Median 75th90th 95th99th
5.8% 9.1% 13.0% 17.1% 21.1% 23.8% 29.7%
2C-RBI% n=1478 · μ=3.8% · σ=7.9%
0.0%
1189
8.3%
187
16.7%
62
25.0%
24
33.3%
11
41.7%
1
50.0%
2
58.3%
0
66.7%
0
75.0%
0
83.3%
0
91.7%
2
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 5.6% 13.3% 19.1% 33.3%
2C-Conv% n=1478 · μ=32.7% · σ=46.3%
0.0%
980
8.3%
0
16.7%
0
25.0%
0
33.3%
0
41.7%
0
50.0%
20
58.3%
0
66.7%
12
75.0%
3
83.3%
0
91.7%
463
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 100.0% 100.0% 100.0% 100.0%
MhAB% n=1478 · μ=0.4% · σ=1.1%
0.0%
1291
0.7%
1
1.3%
48
2.0%
56
2.7%
22
3.3%
21
4.0%
12
4.7%
10
5.3%
8
6.0%
4
6.7%
3
7.3%
2
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 0.0% 1.9% 2.9% 5.4%
RISP-AVG n=1478 · μ=0.299 · σ=0.126
0.000
26
0.071
115
0.141
262
0.212
287
0.282
297
0.353
246
0.423
130
0.494
77
0.564
31
0.635
5
0.705
1
0.776
1
10th25th Median 75th90th 95th99th
0.143 0.200 0.294 0.381 0.471 0.520 0.609
RISP-OPS n=1478 · μ=0.964 · σ=0.384
0.000
8
0.189
47
0.378
145
0.567
279
0.756
299
0.944
245
1.133
203
1.322
103
1.511
82
1.700
42
1.889
16
2.078
9
10th25th Median 75th90th 95th99th
0.500 0.680 0.917 1.199 1.512 1.675 1.978
RISP-Conv n=1478 · μ=0.39 · σ=0.192
0.00
44
0.09
128
0.18
278
0.27
293
0.37
255
0.46
192
0.55
127
0.64
80
0.73
35
0.82
24
0.91
18
1.01
4
10th25th Median 75th90th 95th99th
0.17 0.25 0.36 0.50 0.65 0.75 0.94
WAR n=1478 · μ=0.19 · σ=0.444
-0.78
18
-0.51
131
-0.24
480
0.02
410
0.29
195
0.56
109
0.83
60
1.10
38
1.37
22
1.63
9
1.90
3
2.17
3
10th25th Median 75th90th 95th99th
-0.25 -0.12 0.09 0.37 0.78 1.10 1.63

Pitching distributions

wERA n=961 · μ=12.28 · σ=4.963
3.04
41
5.74
162
8.44
●
262
11.14
203
13.84
130
16.54
75
19.24
37
21.94
21
24.64
20
27.34
6
30.04
2
32.74
2
10th25th Median 75th90th 95th99th
6.85 8.86 11.32 14.84 18.62 22.10 27.46
Highlighted player: 10.11 · approximate percentile: 25–50th
xRA n=961 · μ=12.28 · σ=4.963
3.04
41
5.74
162
8.44
●
262
11.14
203
13.84
130
16.54
75
19.24
37
21.94
21
24.64
20
27.34
6
30.04
2
32.74
2
10th25th Median 75th90th 95th99th
6.85 8.86 11.32 14.84 18.62 22.10 27.46
Highlighted player: 10.11 · approximate percentile: 25–50th
Decay n=616 · μ=+2.2 · σ=23.072
-97.5
2
-82.2
2
-66.9
7
-51.7
15
-36.4
59
-21.1
136
-5.8
165
+9.5
●
131
+24.7
75
+40.0
18
+55.3
2
+70.6
4
10th25th Median 75th90th 95th99th
-24.8 -12.4 +3.3 +16.4 +30.3 +36.9 +54.5
Highlighted player: +13.6 · approximate percentile: 50–75th
GSc avg n=961 · μ=50.2 · σ=5.732
31.4
6
34.6
12
37.8
35
40.9
89
44.1
133
47.3
214
50.4
●
216
53.6
150
56.8
66
59.9
28
63.1
7
66.3
5
10th25th Median 75th90th 95th99th
42.9 46.5 50.3 53.8 57.1 59.5 64.3
Highlighted player: 52.0 · approximate percentile: 50–75th
GSc+ n=961 · μ=102 · σ=11.410
64
6
70
11
77
34
83
81
90
148
96
219
103
●
217
109
150
115
61
122
20
128
11
135
3
10th25th Median 75th90th 95th99th
88 94 102 109 115 120 131
Highlighted player: 105 · approximate percentile: 50–75th
FOP n=961 · μ=62 · σ=10.493
27
10
32
15
37
17
42
44
47
85
51
97
56
●
159
61
176
66
184
71
116
76
49
81
9
10th25th Median 75th90th 95th99th
48 55 63 69 74 76 80
Highlighted player: 61 · approximate percentile: 25–50th
OS+ n=961 · μ=122 · σ=58.656
40
91
66
252
93
241
119
132
145
76
172
●
59
198
29
225
39
251
22
278
8
304
5
330
7
10th25th Median 75th90th 95th99th
66 79 106 145 211 245 313
Highlighted player: 192 · approximate percentile: 75–90th
GE n=961 · μ=1.7 · σ=0.863
0.8
334
1.2
229
1.6
150
1.9
84
2.3
47
2.7
38
3.1
●
25
3.5
19
3.9
19
4.3
6
4.7
6
5.1
4
10th25th Median 75th90th 95th99th
0.9 1.0 1.4 2.0 2.9 3.6 4.6
Highlighted player: 3.2 · approximate percentile: 90–95th
K% n=961 · μ=32.2% · σ=9.4%
6.2%
7
10.9%
21
15.5%
58
20.1%
121
24.8%
●
175
29.4%
180
34.0%
169
38.6%
111
43.3%
60
47.9%
41
52.5%
12
57.1%
6
10th25th Median 75th90th 95th99th
20.6% 25.8% 31.8% 38.2% 44.9% 48.7% 55.5%
Highlighted player: 28.7% · approximate percentile: 25–50th
BB% n=961 · μ=13.2% · σ=4.9%
0.0%
13
2.5%
35
4.9%
56
7.4%
128
9.8%
193
12.3%
180
14.8%
●
161
17.2%
106
19.7%
53
22.2%
22
24.6%
8
27.1%
6
10th25th Median 75th90th 95th99th
7.0% 10.1% 12.9% 16.7% 19.5% 21.5% 25.6%
Highlighted player: 16.4% · approximate percentile: 50–75th
HR% n=961 · μ=2.7% · σ=2.7%
0.0%
355
1.4%
●
241
2.9%
129
4.3%
110
5.8%
60
7.2%
26
8.7%
17
10.1%
13
11.6%
8
13.0%
1
14.5%
0
15.9%
1
10th25th Median 75th90th 95th99th
0.0% 0.0% 2.2% 4.3% 6.4% 8.2% 11.6%
Highlighted player: 1.6% · approximate percentile: 25–50th
K-BB% n=961 · μ=11.8% · σ=11.3%
-18.2%
8
-12.7%
28
-7.3%
72
-1.9%
●
131
3.6%
149
9.0%
210
14.4%
152
19.9%
93
25.3%
61
30.7%
33
36.2%
18
41.6%
4
10th25th Median 75th90th 95th99th
-2.3% 3.8% 11.5% 18.6% 26.7% 31.4% 40.0%
Highlighted player: 3.3% · approximate percentile: 10–25th
oAVG n=961 · μ=0.340 · σ=0.096
0.061
6
0.110
12
0.160
56
0.210
122
0.260
●
172
0.309
217
0.359
163
0.409
102
0.459
59
0.509
33
0.558
14
0.608
5
10th25th Median 75th90th 95th99th
0.219 0.273 0.333 0.400 0.471 0.512 0.580
Highlighted player: 0.303 · approximate percentile: 25–50th
WAR n=961 · μ=0.29 · σ=0.455
-0.95
7
-0.69
29
-0.42
92
-0.15
208
0.12
292
0.38
162
0.65
●
81
0.92
37
1.18
35
1.45
10
1.72
4
1.99
3
10th25th Median 75th90th 95th99th
-0.21 0.01 0.23 0.50 0.87 1.21 1.57
Highlighted player: 0.76 · approximate percentile: 75–90th
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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