Distributions

League-wide player histograms · 1186 games played · 1471 qualifying batters (23+ PA) · 951 qualifying pitchers (23+ outs)
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Player ID 5549 not found in the qualifying population — no histogram marker shown.

Batting distributions

PAVG n=1471 · μ=0.306 · σ=0.112
0.032
21
0.083
61
0.135
132
0.186
209
0.237
266
0.288
230
0.339
211
0.390
170
0.441
77
0.492
59
0.544
27
0.595
8
10th25th Median 75th90th 95th99th
0.167 0.222 0.298 0.384 0.453 0.500 0.570
OPS n=1471 · μ=0.977 · σ=0.360
0.129
14
0.310
80
0.491
213
0.673
301
0.854
289
1.035
224
1.216
154
1.397
93
1.578
67
1.760
21
1.941
13
2.122
2
10th25th Median 75th90th 95th99th
0.554 0.710 0.934 1.200 1.485 1.651 1.943
OPS+ n=1471 · μ=103 · σ=37.012
15
13
34
86
54
220
73
312
92
282
112
237
131
146
150
90
170
58
189
18
208
7
228
1
10th25th Median 75th90th 95th99th
59 76 99 126 155 172 197
wOBA n=1471 · μ=0.461 · σ=0.199
0.047
29
0.147
154
0.248
292
0.348
315
0.449
247
0.549
179
0.650
117
0.750
73
0.850
41
0.951
13
1.051
9
1.152
2
10th25th Median 75th90th 95th99th
0.230 0.313 0.427 0.576 0.738 0.833 1.009
BAVG n=1471 · μ=0.366 · σ=0.138
0.034
16
0.097
60
0.160
147
0.222
221
0.285
254
0.347
257
0.410
191
0.473
152
0.535
83
0.598
63
0.661
18
0.723
9
10th25th Median 75th90th 95th99th
0.196 0.263 0.354 0.457 0.558 0.612 0.702
ISO n=1471 · μ=0.212 · σ=0.147
0.000
245
0.073
322
0.146
304
0.219
222
0.292
147
0.365
102
0.438
65
0.510
39
0.583
12
0.656
9
0.729
2
0.802
1
10th25th Median 75th90th 95th99th
0.044 0.100 0.182 0.296 0.424 0.500 0.624
BABIP n=1471 · μ=0.469 · σ=0.138
0.071
11
0.141
35
0.211
73
0.281
176
0.351
237
0.420
292
0.490
266
0.560
203
0.630
103
0.700
58
0.769
12
0.839
4
10th25th Median 75th90th 95th99th
0.294 0.375 0.467 0.562 0.647 0.700 0.784
K% n=1471 · μ=23.5% · σ=10.7%
0.0%
29
5.6%
149
11.1%
245
16.7%
279
22.2%
262
27.8%
237
33.3%
146
38.9%
73
44.4%
26
50.0%
16
55.6%
4
61.1%
5
10th25th Median 75th90th 95th99th
10.3% 15.4% 22.7% 30.4% 37.5% 41.7% 52.1%
BB% n=1471 · μ=13.2% · σ=5.7%
0.0%
23
2.8%
95
5.6%
172
8.3%
248
11.1%
302
13.9%
232
16.7%
181
19.4%
115
22.2%
55
25.0%
32
27.8%
10
30.6%
6
10th25th Median 75th90th 95th99th
6.2% 9.1% 13.0% 16.9% 20.8% 23.1% 28.0%
2C-RBI% n=1471 · μ=3.7% · σ=6.9%
0.0%
1048
4.2%
132
8.3%
111
12.5%
86
16.7%
39
20.8%
20
25.0%
23
29.2%
0
33.3%
4
37.5%
5
41.7%
1
45.8%
2
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 6.2% 13.3% 18.2% 28.6%
2C-Conv% n=1471 · μ=34.7% · σ=47.0%
0.0%
946
8.3%
0
16.7%
0
25.0%
0
33.3%
1
41.7%
0
50.0%
19
58.3%
0
66.7%
11
75.0%
5
83.3%
0
91.7%
489
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 100.0% 100.0% 100.0% 100.0%
MhAB% n=1471 · μ=0.4% · σ=1.1%
0.0%
1267
0.7%
2
1.4%
80
2.1%
45
2.9%
25
3.6%
20
4.3%
18
5.0%
5
5.7%
4
6.4%
1
7.1%
2
7.9%
2
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 0.0% 1.9% 2.9% 4.8%
RISP-AVG n=1471 · μ=0.298 · σ=0.124
0.000
20
0.068
100
0.135
235
0.203
291
0.271
307
0.339
229
0.406
164
0.474
84
0.542
30
0.609
8
0.677
1
0.745
2
10th25th Median 75th90th 95th99th
0.143 0.208 0.294 0.383 0.469 0.520 0.600
RISP-OPS n=1471 · μ=0.961 · σ=0.383
0.080
22
0.292
122
0.504
291
0.716
319
0.928
290
1.140
194
1.353
109
1.565
81
1.777
29
1.989
10
2.201
3
2.413
1
10th25th Median 75th90th 95th99th
0.512 0.678 0.912 1.190 1.500 1.667 1.966
RISP-Conv n=1471 · μ=0.39 · σ=0.187
0.00
42
0.09
127
0.19
290
0.28
305
0.38
264
0.47
198
0.56
104
0.66
74
0.75
35
0.84
21
0.94
8
1.03
3
10th25th Median 75th90th 95th99th
0.17 0.25 0.36 0.50 0.65 0.74 0.89
WAR n=1471 · μ=0.21 · σ=0.497
-0.89
15
-0.58
128
-0.28
489
0.03
400
0.33
197
0.64
107
0.94
67
1.25
38
1.56
13
1.86
12
2.17
3
2.47
1
10th25th Median 75th90th 95th99th
-0.27 -0.13 0.09 0.40 0.88 1.21 1.88

Pitching distributions

wERA n=951 · μ=12.00 · σ=4.679
1.15
7
3.68
56
6.21
174
8.73
241
11.26
201
13.79
123
16.32
71
18.85
31
21.38
19
23.91
18
26.44
8
28.97
2
10th25th Median 75th90th 95th99th
6.63 8.78 11.24 14.23 18.05 21.22 26.55
xRA n=951 · μ=12.00 · σ=4.679
1.15
7
3.68
56
6.21
174
8.73
241
11.26
201
13.79
123
16.32
71
18.85
31
21.38
19
23.91
18
26.44
8
28.97
2
10th25th Median 75th90th 95th99th
6.63 8.78 11.24 14.23 18.05 21.22 26.55
Decay n=646 · μ=+2.6 · σ=22.706
-97.4
1
-82.4
3
-67.4
9
-52.4
12
-37.4
54
-22.4
119
-7.4
179
+7.6
151
+22.6
89
+37.6
20
+52.6
5
+67.6
4
10th25th Median 75th90th 95th99th
-23.8 -10.8 +3.3 +16.3 +30.5 +36.4 +54.6
GSc avg n=951 · μ=49.8 · σ=5.756
31.0
10
35.2
29
39.4
89
43.6
195
47.8
310
52.0
203
56.3
82
60.5
25
64.7
7
68.9
0
73.1
0
77.3
1
10th25th Median 75th90th 95th99th
42.7 46.1 50.0 53.3 56.8 59.1 63.8
GSc+ n=951 · μ=102 · σ=11.555
64
12
72
22
81
87
89
223
98
298
107
208
115
73
124
24
133
3
141
0
150
0
158
1
10th25th Median 75th90th 95th99th
88 95 102 109 116 120 131
FOP n=951 · μ=62 · σ=10.253
24
3
29
9
34
13
39
28
44
63
49
97
54
151
59
172
64
191
69
140
74
67
80
17
10th25th Median 75th90th 95th99th
48 55 63 69 74 76 80
OS+ n=951 · μ=123 · σ=58.369
43
127
69
243
95
212
121
127
147
80
173
47
199
38
225
35
251
21
277
9
303
6
329
6
10th25th Median 75th90th 95th99th
66 81 107 148 210 243 312
GE n=951 · μ=1.8 · σ=0.932
0.9
334
1.3
222
1.7
140
2.1
96
2.5
45
3.0
32
3.4
24
3.8
33
4.2
7
4.6
9
5.0
6
5.5
3
10th25th Median 75th90th 95th99th
1.0 1.1 1.5 2.1 3.2 4.0 4.9
K% n=951 · μ=32.6% · σ=9.3%
6.2%
4
11.0%
20
15.8%
62
20.5%
123
25.3%
182
30.1%
188
34.8%
159
39.6%
104
44.4%
66
49.1%
29
53.9%
9
58.7%
5
10th25th Median 75th90th 95th99th
20.8% 26.1% 32.0% 38.7% 44.8% 48.7% 56.2%
BB% n=951 · μ=13.3% · σ=4.8%
0.0%
15
2.8%
37
5.6%
72
8.3%
189
11.1%
224
13.9%
185
16.7%
138
19.4%
52
22.2%
30
25.0%
4
27.8%
4
30.6%
1
10th25th Median 75th90th 95th99th
7.6% 10.2% 13.0% 16.3% 19.3% 21.5% 24.5%
HR% n=951 · μ=2.7% · σ=2.7%
0.0%
350
1.4%
239
2.9%
139
4.3%
110
5.8%
56
7.2%
19
8.7%
15
10.1%
14
11.6%
7
13.0%
0
14.5%
0
15.9%
2
10th25th Median 75th90th 95th99th
0.0% 0.0% 2.2% 4.1% 6.1% 7.6% 11.5%
K-BB% n=951 · μ=12.1% · σ=11.2%
-19.4%
4
-13.8%
25
-8.2%
56
-2.6%
118
3.0%
159
8.6%
201
14.2%
161
19.8%
104
25.4%
68
31.0%
36
36.6%
13
42.2%
6
10th25th Median 75th90th 95th99th
-2.0% 4.8% 11.5% 19.3% 27.1% 31.2% 40.6%
oAVG n=951 · μ=0.336 · σ=0.093
0.050
5
0.098
6
0.146
43
0.194
102
0.243
151
0.291
193
0.339
195
0.387
120
0.435
76
0.483
31
0.532
22
0.580
7
10th25th Median 75th90th 95th99th
0.217 0.271 0.333 0.396 0.455 0.500 0.570
WAR n=951 · μ=0.32 · σ=0.481
-0.91
15
-0.61
50
-0.31
143
-0.00
326
0.30
213
0.60
104
0.90
46
1.20
34
1.51
8
1.81
10
2.11
1
2.41
1
10th25th Median 75th90th 95th99th
-0.21 0.03 0.25 0.53 0.94 1.25 1.88
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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