Distributions

League-wide player histograms · 454 games played · 1263 qualifying batters (11+ PA) · 819 qualifying pitchers (11+ outs)
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Marking Seo-jun Baek FCW on every histogram below. Compare ↗

Batting distributions

PAVG n=1263 · μ=0.368 · σ=0.134
0.000
13
0.065
29
0.130
73
0.194
147
0.259
228
0.324
●
220
0.389
212
0.454
174
0.519
98
0.583
41
0.648
17
0.713
10
10th25th Median 75th90th 95th99th
0.200 0.273 0.364 0.458 0.538 0.588 0.697
Highlighted player: 0.379 · approximate percentile: 50–75th
OPS n=1263 · μ=1.116 · σ=0.418
0.000
11
0.218
34
0.436
110
0.654
224
0.872
252
1.090
250
1.308
●
183
1.526
101
1.744
61
1.962
21
2.179
10
2.397
6
10th25th Median 75th90th 95th99th
0.620 0.818 1.091 1.375 1.684 1.833 2.278
Highlighted player: 1.517 · approximate percentile: 75–90th
OPS+ n=1263 · μ=101 · σ=37.447
0
11
20
37
39
109
59
212
78
256
98
253
118
179
137
●
105
157
60
176
27
196
11
215
3
10th25th Median 75th90th 95th99th
56 74 98 124 151 166 199
Highlighted player: 140 · approximate percentile: 75–90th
wOBA n=1263 · μ=0.485 · σ=0.244
0.000
55
0.128
160
0.256
259
0.383
281
0.511
217
0.639
126
0.767
●
81
0.895
49
1.023
16
1.150
11
1.278
7
1.406
0
10th25th Median 75th90th 95th99th
0.205 0.309 0.462 0.622 0.809 0.926 1.185
Highlighted player: 0.795 · approximate percentile: 75–90th
BAVG n=1263 · μ=0.419 · σ=0.152
0.000
12
0.075
29
0.150
80
0.225
151
0.300
220
0.375
242
0.450
●
218
0.525
152
0.600
99
0.675
39
0.750
15
0.825
5
10th25th Median 75th90th 95th99th
0.231 0.310 0.417 0.522 0.615 0.667 0.766
Highlighted player: 0.478 · approximate percentile: 50–75th
ISO n=1263 · μ=0.262 · σ=0.192
0.000
275
0.096
251
0.192
272
0.288
178
0.385
134
0.481
●
61
0.577
50
0.673
16
0.769
14
0.865
7
0.962
4
1.058
1
10th25th Median 75th90th 95th99th
0.053 0.117 0.235 0.364 0.526 0.635 0.833
Highlighted player: 0.552 · approximate percentile: 90–95th
BABIP n=1263 · μ=0.500 · σ=0.166
0.000
11
0.083
22
0.167
37
0.250
104
0.333
202
0.417
193
0.500
●
301
0.583
170
0.667
129
0.750
65
0.833
24
0.917
5
10th25th Median 75th90th 95th99th
0.286 0.387 0.500 0.611 0.714 0.772 0.864
Highlighted player: 0.500 · approximate percentile: 25–50th
K% n=1263 · μ=18.4% · σ=10.5%
0.0%
116
6.1%
247
12.1%
●
299
18.2%
283
24.2%
166
30.3%
70
36.4%
55
42.4%
11
48.5%
5
54.5%
9
60.6%
1
66.7%
1
10th25th Median 75th90th 95th99th
6.3% 11.1% 17.2% 25.0% 31.6% 37.5% 50.0%
Highlighted player: 13.8% · approximate percentile: 25–50th
BB% n=1263 · μ=10.3% · σ=7.2%
0.0%
196
3.6%
●
246
7.1%
289
10.7%
169
14.3%
191
17.9%
79
21.4%
32
25.0%
39
28.6%
14
32.1%
6
35.7%
1
39.3%
1
10th25th Median 75th90th 95th99th
0.0% 5.6% 9.1% 14.8% 19.3% 23.5% 30.8%
Highlighted player: 6.9% · approximate percentile: 25–50th
2C-RBI% n=1263 · μ=4.6% · σ=11.2%
0.0%
●
1011
8.3%
109
16.7%
70
25.0%
25
33.3%
26
41.7%
1
50.0%
13
58.3%
1
66.7%
3
75.0%
0
83.3%
0
91.7%
4
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 0.0% 16.7% 25.0% 50.0%
Highlighted player: 0.0% · approximate percentile: ≤ 10th
2C-Conv% n=1263 · μ=26.5% · σ=43.6%
0.0%
●
918
8.3%
0
16.7%
0
25.0%
0
33.3%
0
41.7%
0
50.0%
17
58.3%
0
66.7%
4
75.0%
2
83.3%
0
91.7%
322
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 100.0% 100.0% 100.0% 100.0%
Highlighted player: 0.0% · approximate percentile: ≤ 10th
MhAB% n=1263 · μ=0.5% · σ=1.7%
0.0%
●
1151
1.4%
9
2.8%
46
4.2%
20
5.6%
16
6.9%
5
8.3%
8
9.7%
2
11.1%
1
12.5%
2
13.9%
0
15.3%
3
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 0.0% 0.0% 3.8% 8.3%
Highlighted player: 0.0% · approximate percentile: ≤ 10th
RISP-AVG n=1263 · μ=0.355 · σ=0.159
0.000
42
0.083
93
0.167
160
0.250
●
255
0.333
275
0.417
182
0.500
150
0.583
65
0.667
28
0.750
7
0.833
4
0.917
2
10th25th Median 75th90th 95th99th
0.154 0.250 0.346 0.455 0.561 0.625 0.743
Highlighted player: 0.312 · approximate percentile: 25–50th
RISP-OPS n=1263 · μ=1.088 · σ=0.476
0.000
34
0.264
102
0.528
214
0.792
278
1.056
●
282
1.319
164
1.583
99
1.847
57
2.111
24
2.375
4
2.639
2
2.903
3
10th25th Median 75th90th 95th99th
0.500 0.750 1.056 1.364 1.736 1.944 2.339
Highlighted player: 1.312 · approximate percentile: 50–75th
RISP-Conv n=1263 · μ=0.43 · σ=0.227
0.00
87
0.12
159
0.24
256
0.36
280
0.48
193
0.60
●
149
0.71
72
0.83
40
0.95
14
1.07
9
1.19
2
1.31
2
10th25th Median 75th90th 95th99th
0.17 0.27 0.41 0.57 0.73 0.83 1.07
Highlighted player: 0.62 · approximate percentile: 75–90th
WAR n=1263 · μ=0.10 · σ=0.272
-0.47
36
-0.25
418
-0.03
467
0.19
207
0.40
●
78
0.62
27
0.84
17
1.06
8
1.28
3
1.50
0
1.71
1
1.93
1
10th25th Median 75th90th 95th99th
-0.16 -0.08 0.04 0.21 0.42 0.61 1.05
Highlighted player: 0.54 · approximate percentile: 90–95th

Pitching distributions

wERA n=819 · μ=14.29 · σ=6.648
0.00
7
3.76
88
7.52
216
11.28
191
15.05
150
18.81
82
22.57
37
26.33
23
30.09
12
33.85
8
37.62
4
41.38
1
10th25th Median 75th90th 95th99th
7.13 9.65 13.00 17.53 22.88 27.23 36.28
xRA n=819 · μ=14.29 · σ=6.648
0.00
7
3.76
88
7.52
216
11.28
191
15.05
150
18.81
82
22.57
37
26.33
23
30.09
12
33.85
8
37.62
4
41.38
1
10th25th Median 75th90th 95th99th
7.13 9.65 13.00 17.53 22.88 27.23 36.28
Decay n=319 · μ=+2.8 · σ=25.450
-97.3
3
-82.3
1
-67.3
1
-52.3
13
-37.3
30
-22.3
52
-7.3
83
+7.7
63
+22.7
51
+37.7
16
+52.7
4
+67.7
2
10th25th Median 75th90th 95th99th
-29.1 -11.3 +2.7 +19.4 +33.5 +39.4 +58.5
GSc avg n=819 · μ=50.8 · σ=6.916
26.4
7
30.3
7
34.3
25
38.3
47
42.3
104
46.3
181
50.3
203
54.3
146
58.3
72
62.3
16
66.3
5
70.3
6
10th25th Median 75th90th 95th99th
42.0 46.7 51.1 55.4 58.9 61.3 67.6
GSc+ n=819 · μ=102 · σ=13.786
55
9
63
7
71
26
79
52
86
108
94
189
102
208
110
128
118
67
126
18
134
2
141
5
10th25th Median 75th90th 95th99th
85 94 103 111 119 123 133
FOP n=819 · μ=63 · σ=12.153
17
3
23
8
29
14
35
21
41
42
47
62
53
99
58
131
64
190
70
158
76
75
82
16
10th25th Median 75th90th 95th99th
46 56 65 71 76 79 83
OS+ n=819 · μ=123 · σ=66.521
40
143
70
250
99
150
128
100
158
59
187
38
217
21
246
19
276
15
305
6
335
10
364
8
10th25th Median 75th90th 95th99th
58 78 102 146 211 270 359
GE n=819 · μ=0.9 · σ=0.486
0.4
366
0.7
205
1.0
125
1.2
47
1.5
32
1.8
16
2.1
10
2.3
7
2.6
4
2.9
3
3.2
1
3.4
3
10th25th Median 75th90th 95th99th
0.4 0.6 0.7 1.0 1.5 1.9 2.8
K% n=819 · μ=25.1% · σ=9.6%
0.0%
6
5.2%
35
10.4%
98
15.6%
147
20.8%
168
26.0%
144
31.2%
128
36.5%
50
41.7%
29
46.9%
8
52.1%
4
57.3%
2
10th25th Median 75th90th 95th99th
13.0% 18.8% 24.2% 31.6% 37.5% 42.1% 50.0%
BB% n=819 · μ=10.3% · σ=5.7%
0.0%
58
2.8%
113
5.6%
137
8.3%
156
11.1%
152
13.9%
80
16.7%
65
19.4%
38
22.2%
14
25.0%
3
27.8%
2
30.6%
1
10th25th Median 75th90th 95th99th
3.6% 6.2% 10.0% 13.8% 18.2% 20.0% 23.9%
HR% n=819 · μ=3.3% · σ=3.9%
0.0%
377
2.1%
151
4.2%
127
6.2%
76
8.3%
38
10.4%
20
12.5%
18
14.6%
4
16.7%
4
18.8%
2
20.8%
0
22.9%
2
10th25th Median 75th90th 95th99th
0.0% 0.0% 2.6% 5.3% 8.6% 11.1% 15.9%
K-BB% n=819 · μ=8.9% · σ=11.3%
-23.5%
4
-18.0%
16
-12.5%
38
-6.9%
78
-1.4%
147
4.1%
171
9.7%
143
15.2%
103
20.7%
56
26.3%
35
31.8%
17
37.3%
11
10th25th Median 75th90th 95th99th
-4.8% 0.0% 8.0% 15.8% 23.8% 29.5% 37.5%
oAVG n=819 · μ=0.397 · σ=0.113
0.000
2
0.060
4
0.119
14
0.179
43
0.238
90
0.298
141
0.357
165
0.417
161
0.476
107
0.536
57
0.595
29
0.655
6
10th25th Median 75th90th 95th99th
0.253 0.320 0.400 0.475 0.546 0.586 0.649
WAR n=819 · μ=0.17 · σ=0.303
-0.69
9
-0.47
43
-0.24
143
-0.02
292
0.21
221
0.43
68
0.66
23
0.88
8
1.10
7
1.33
3
1.55
0
1.78
2
10th25th Median 75th90th 95th99th
-0.16 -0.01 0.14 0.30 0.50 0.67 1.19
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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