Distributions

League-wide player histograms · 1054 games played · 1507 qualifying batters (20+ PA) · 963 qualifying pitchers (20+ outs)
JSON
Players Teams
Clear
Player ID 5467 not found in the qualifying population — no histogram marker shown.

Batting distributions

PAVG n=1507 · μ=0.306 · σ=0.114
0.000
8
0.055
37
0.110
116
0.165
199
0.220
249
0.275
278
0.330
239
0.385
191
0.440
99
0.495
58
0.550
25
0.605
8
10th25th Median 75th90th 95th99th
0.161 0.225 0.300 0.387 0.455 0.500 0.581
OPS n=1507 · μ=0.980 · σ=0.360
0.095
9
0.277
75
0.459
184
0.640
288
0.822
317
1.004
239
1.186
175
1.367
104
1.549
64
1.731
37
1.912
11
2.094
4
10th25th Median 75th90th 95th99th
0.560 0.718 0.941 1.200 1.483 1.644 1.907
OPS+ n=1507 · μ=102 · σ=36.899
11
10
29
63
48
182
67
293
85
281
104
267
122
181
141
104
160
75
178
36
197
10
215
4
10th25th Median 75th90th 95th99th
59 76 99 125 154 169 197
wOBA n=1507 · μ=0.460 · σ=0.198
0.034
27
0.134
139
0.235
285
0.336
321
0.437
270
0.538
189
0.638
126
0.739
76
0.840
43
0.941
23
1.041
7
1.142
1
10th25th Median 75th90th 95th99th
0.228 0.312 0.431 0.578 0.738 0.831 0.992
BAVG n=1507 · μ=0.367 · σ=0.139
0.000
8
0.069
52
0.138
121
0.207
228
0.277
292
0.346
286
0.415
212
0.484
151
0.553
94
0.622
41
0.691
21
0.761
1
10th25th Median 75th90th 95th99th
0.192 0.263 0.357 0.464 0.559 0.613 0.704
ISO n=1507 · μ=0.213 · σ=0.147
0.000
264
0.075
326
0.149
312
0.224
230
0.299
160
0.374
91
0.448
60
0.523
39
0.598
15
0.672
8
0.747
1
0.822
1
10th25th Median 75th90th 95th99th
0.045 0.100 0.186 0.297 0.426 0.500 0.639
BABIP n=1507 · μ=0.470 · σ=0.145
0.000
2
0.076
17
0.152
55
0.227
106
0.303
226
0.379
299
0.455
275
0.530
264
0.606
164
0.682
65
0.758
24
0.833
10
10th25th Median 75th90th 95th99th
0.286 0.370 0.467 0.571 0.652 0.709 0.809
K% n=1507 · μ=23.4% · σ=10.8%
0.0%
38
5.6%
142
11.1%
263
16.7%
283
22.2%
270
27.8%
233
33.3%
154
38.9%
69
44.4%
29
50.0%
17
55.6%
4
61.1%
5
10th25th Median 75th90th 95th99th
10.0% 15.0% 22.7% 30.3% 37.5% 41.7% 52.2%
BB% n=1507 · μ=13.3% · σ=6.1%
0.0%
54
3.3%
137
6.7%
263
10.0%
328
13.3%
307
16.7%
203
20.0%
123
23.3%
56
26.7%
19
30.0%
13
33.3%
2
36.7%
2
10th25th Median 75th90th 95th99th
5.4% 9.1% 13.0% 17.1% 21.4% 23.9% 30.0%
2C-RBI% n=1507 · μ=3.8% · σ=8.1%
0.0%
1214
8.3%
190
16.7%
63
25.0%
22
33.3%
11
41.7%
1
50.0%
3
58.3%
0
66.7%
1
75.0%
0
83.3%
0
91.7%
2
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 5.3% 13.5% 19.8% 33.3%
2C-Conv% n=1507 · μ=31.8% · σ=46.0%
0.0%
1013
8.3%
0
16.7%
0
25.0%
0
33.3%
0
41.7%
0
50.0%
21
58.3%
0
66.7%
11
75.0%
2
83.3%
0
91.7%
460
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 100.0% 100.0% 100.0% 100.0%
MhAB% n=1507 · μ=0.4% · σ=1.1%
0.0%
1324
0.7%
1
1.3%
41
2.0%
54
2.7%
24
3.3%
21
4.0%
11
4.7%
11
5.3%
11
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% 5.6%
RISP-AVG n=1507 · μ=0.299 · σ=0.127
0.000
27
0.071
123
0.141
253
0.212
298
0.282
310
0.353
244
0.423
139
0.494
72
0.564
33
0.635
6
0.705
1
0.776
1
10th25th Median 75th90th 95th99th
0.143 0.206 0.294 0.381 0.467 0.520 0.600
RISP-OPS n=1507 · μ=0.963 · σ=0.385
0.000
9
0.189
50
0.378
153
0.567
276
0.756
303
0.944
255
1.133
203
1.322
111
1.511
78
1.700
44
1.889
16
2.078
9
10th25th Median 75th90th 95th99th
0.500 0.681 0.920 1.194 1.500 1.672 1.980
RISP-Conv n=1507 · μ=0.39 · σ=0.192
0.00
49
0.09
136
0.18
267
0.27
302
0.37
270
0.46
199
0.55
123
0.64
80
0.73
38
0.82
20
0.91
19
1.01
4
10th25th Median 75th90th 95th99th
0.17 0.25 0.36 0.50 0.65 0.74 0.94
WAR n=1507 · μ=0.18 · σ=0.438
-0.79
18
-0.53
111
-0.26
475
-0.00
426
0.26
215
0.52
117
0.78
62
1.05
40
1.31
24
1.57
10
1.83
5
2.09
4
10th25th Median 75th90th 95th99th
-0.24 -0.11 0.09 0.35 0.76 1.09 1.64

Pitching distributions

wERA n=963 · μ=12.31 · σ=4.924
1.63
13
4.45
106
7.27
239
10.09
247
12.91
163
15.73
101
18.55
38
21.37
24
24.19
20
27.00
9
29.82
2
32.64
1
10th25th Median 75th90th 95th99th
6.87 8.89 11.36 14.88 18.51 22.11 27.27
xRA n=963 · μ=12.31 · σ=4.924
1.63
13
4.45
106
7.27
239
10.09
247
12.91
163
15.73
101
18.55
38
21.37
24
24.19
20
27.00
9
29.82
2
32.64
1
10th25th Median 75th90th 95th99th
6.87 8.89 11.36 14.88 18.51 22.11 27.27
Decay n=601 · μ=+2.3 · σ=23.598
-97.5
2
-82.2
2
-66.9
8
-51.6
16
-36.3
57
-21.1
131
-5.8
158
+9.5
126
+24.8
76
+40.0
17
+55.3
4
+70.6
4
10th25th Median 75th90th 95th99th
-26.5 -12.5 +3.5 +17.0 +31.0 +38.0 +56.2
GSc avg n=963 · μ=49.8 · σ=5.755
31.1
7
34.3
11
37.5
33
40.6
99
43.8
129
47.0
220
50.2
208
53.3
149
56.5
68
59.7
26
62.8
8
66.0
5
10th25th Median 75th90th 95th99th
42.4 46.1 50.0 53.5 56.8 59.1 64.0
GSc+ n=963 · μ=102 · σ=11.528
64
7
70
11
77
33
83
83
90
152
96
223
103
208
109
151
116
63
122
18
129
11
135
3
10th25th Median 75th90th 95th99th
87 94 102 109 116 120 131
FOP n=963 · μ=61 · σ=10.519
27
10
32
14
37
19
42
44
47
83
51
104
56
161
61
173
66
181
71
110
76
55
81
9
10th25th Median 75th90th 95th99th
48 55 62 69 74 77 80
OS+ n=963 · μ=123 · σ=58.878
38
86
65
260
91
222
118
148
145
84
171
50
198
33
225
37
252
19
278
12
305
5
332
7
10th25th Median 75th90th 95th99th
66 80 106 146 212 247 314
GE n=963 · μ=1.6 · σ=0.828
0.7
340
1.1
231
1.5
136
1.9
94
2.2
49
2.6
32
3.0
27
3.4
19
3.7
22
4.1
4
4.5
3
4.8
6
10th25th Median 75th90th 95th99th
0.9 1.0 1.4 1.9 2.8 3.4 4.4
K% n=963 · μ=32.1% · σ=9.5%
6.2%
9
10.9%
23
15.5%
64
20.1%
115
24.8%
182
29.4%
180
34.0%
160
38.6%
113
43.3%
55
47.9%
42
52.5%
13
57.1%
7
10th25th Median 75th90th 95th99th
20.3% 25.5% 31.7% 38.1% 44.8% 48.8% 56.2%
BB% n=963 · μ=13.2% · σ=5.1%
0.0%
16
2.8%
47
5.6%
85
8.3%
180
11.1%
222
13.9%
159
16.7%
149
19.4%
67
22.2%
21
25.0%
10
27.8%
6
30.6%
1
10th25th Median 75th90th 95th99th
6.8% 9.7% 12.9% 16.7% 19.7% 21.7% 26.4%
HR% n=963 · μ=2.7% · σ=2.8%
0.0%
353
1.4%
239
2.9%
137
4.3%
108
5.8%
57
7.2%
29
8.7%
17
10.1%
12
11.6%
7
13.0%
2
14.5%
1
15.9%
1
10th25th Median 75th90th 95th99th
0.0% 0.0% 2.2% 4.2% 6.4% 8.3% 11.6%
K-BB% n=963 · μ=11.6% · σ=11.5%
-21.6%
3
-15.9%
21
-10.2%
51
-4.5%
109
1.3%
153
7.0%
193
12.7%
186
18.4%
115
24.2%
64
29.9%
42
35.6%
20
41.3%
6
10th25th Median 75th90th 95th99th
-2.7% 3.8% 11.5% 18.8% 26.7% 31.7% 40.0%
oAVG n=963 · μ=0.341 · σ=0.096
0.053
4
0.103
10
0.154
51
0.204
106
0.254
186
0.305
210
0.355
164
0.406
115
0.456
67
0.507
31
0.557
16
0.607
3
10th25th Median 75th90th 95th99th
0.222 0.277 0.333 0.404 0.469 0.509 0.577
WAR n=963 · μ=0.28 · σ=0.438
-0.95
5
-0.69
32
-0.42
89
-0.15
225
0.12
296
0.39
154
0.65
80
0.92
36
1.19
33
1.46
8
1.73
1
1.99
4
10th25th Median 75th90th 95th99th
-0.20 0.01 0.22 0.50 0.85 1.15 1.53
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.
Compare basket · 0 max 4
Compare →