Distributions

League-wide player histograms · 18 games played · 205 qualifying batters (3+ PA) · 86 qualifying pitchers (3+ outs)
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Player ID 4091 not found in the qualifying population — no histogram marker shown.

Batting distributions

PAVG n=205 · μ=0.285 · σ=0.250
0.000
70
0.069
0
0.139
8
0.208
17
0.278
50
0.347
9
0.417
1
0.486
15
0.556
3
0.625
18
0.694
11
0.764
3
10th25th Median 75th90th 95th99th
0.000 0.000 0.333 0.400 0.667 0.750 0.798
OPS n=205 · μ=0.877 · σ=0.713
0.000
36
0.250
32
0.500
37
0.750
11
1.000
29
1.250
16
1.500
15
1.750
8
2.000
8
2.250
6
2.500
5
2.750
2
10th25th Median 75th90th 95th99th
0.000 0.333 0.667 1.333 1.933 2.250 2.660
OPS+ n=205 · μ=97 · σ=78.838
0
40
30
31
59
41
89
20
119
20
148
19
178
10
207
10
237
9
267
2
296
2
326
1
10th25th Median 75th90th 95th99th
0 35 79 148 211 244 296
wOBA n=205 · μ=0.452 · σ=0.929
-1.239
5
-0.886
22
-0.533
25
-0.180
45
0.173
38
0.526
17
0.879
9
1.232
16
1.586
10
1.939
5
2.292
3
2.645
10
10th25th Median 75th90th 95th99th
-0.620 -0.203 0.262 1.020 1.840 2.502 2.739
BAVG n=205 · μ=0.334 · σ=0.316
0.000
70
0.167
16
0.333
48
0.500
28
0.667
35
0.833
0
1.000
6
1.167
0
1.333
0
1.500
1
1.667
0
1.833
1
10th25th Median 75th90th 95th99th
0.000 0.000 0.333 0.500 0.717 0.790 1.000
ISO n=205 · μ=0.176 · σ=0.313
0.000
134
0.125
7
0.250
34
0.375
1
0.500
7
0.625
5
0.750
5
0.875
0
1.000
7
1.125
2
1.250
1
1.375
2
10th25th Median 75th90th 95th99th
0.000 0.000 0.000 0.250 0.667 1.000 1.328
BABIP n=205 · μ=0.426 · σ=0.408
0.000
75
0.167
3
0.333
25
0.500
36
0.667
26
0.833
0
1.000
37
1.167
0
1.333
0
1.500
1
1.667
0
1.833
2
10th25th Median 75th90th 95th99th
0.000 0.000 0.333 0.667 1.000 1.000 1.480
K% n=205 · μ=25.8% · σ=24.6%
0.0%
79
8.3%
0
16.7%
8
25.0%
23
33.3%
48
41.7%
1
50.0%
18
58.3%
0
66.7%
23
75.0%
3
83.3%
0
91.7%
2
10th25th Median 75th90th 95th99th
0.0% 0.0% 25.0% 40.0% 66.7% 66.7% 75.0%
BB% n=205 · μ=11.3% · σ=16.8%
0.0%
133
5.6%
0
11.1%
1
16.7%
11
22.2%
17
27.8%
0
33.3%
32
38.9%
2
44.4%
0
50.0%
5
55.6%
0
61.1%
4
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 25.0% 33.3% 38.7% 66.7%
2C-RBI% n=205 · μ=2.0% · σ=13.1%
0.0%
200
8.3%
0
16.7%
0
25.0%
0
33.3%
1
41.7%
0
50.0%
0
58.3%
0
66.7%
1
75.0%
0
83.3%
0
91.7%
3
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 98.7%
2C-Conv% n=205 · μ=3.9% · σ=19.4%
0.0%
197
8.3%
0
16.7%
0
25.0%
0
33.3%
0
41.7%
0
50.0%
0
58.3%
0
66.7%
0
75.0%
0
83.3%
0
91.7%
8
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 100.0%
MhAB% n=205 · μ=0.2% · σ=3.5%
0.0%
204
4.2%
0
8.3%
0
12.5%
0
16.7%
0
20.8%
0
25.0%
0
29.2%
0
33.3%
0
37.5%
0
41.7%
0
45.8%
1
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%
RISP-AVG n=205 · μ=0.264 · σ=0.335
0.000
105
0.167
10
0.333
32
0.500
28
0.667
14
0.833
0
1.000
15
1.167
0
1.333
0
1.500
0
1.667
0
1.833
1
10th25th Median 75th90th 95th99th
0.000 0.000 0.000 0.500 0.750 1.000 1.000
RISP-OPS n=205 · μ=0.793 · σ=1.001
0.000
108
0.667
48
1.333
25
2.000
14
2.667
7
3.333
1
4.000
0
4.667
1
5.333
0
6.000
0
6.667
0
7.333
1
10th25th Median 75th90th 95th99th
0.000 0.000 0.500 1.250 2.000 2.500 3.490
RISP-Conv n=205 · μ=0.29 · σ=0.541
0.00
151
0.42
34
0.83
13
1.25
3
1.67
1
2.08
0
2.50
1
2.92
1
3.33
0
3.75
0
4.17
0
4.58
1
10th25th Median 75th90th 95th99th
0.00 0.00 0.00 0.50 0.78 1.00 2.48
WAR n=205 · μ=0.01 · σ=0.079
-0.11
14
-0.07
38
-0.04
60
-0.00
29
0.03
20
0.07
12
0.10
12
0.14
9
0.17
6
0.20
4
0.24
0
0.27
1
10th25th Median 75th90th 95th99th
-0.07 -0.04 -0.01 0.05 0.13 0.17 0.23

Pitching distributions

wERA n=86 · μ=12.34 · σ=9.287
0.00
11
4.18
24
8.35
20
12.53
11
16.70
9
20.88
3
25.06
1
29.23
2
33.41
3
37.58
1
41.76
0
45.94
1
10th25th Median 75th90th 95th99th
4.10 6.27 9.44 15.47 22.70 33.04 42.43
xRA n=86 · μ=12.34 · σ=9.287
0.00
11
4.18
24
8.35
20
12.53
11
16.70
9
20.88
3
25.06
1
29.23
2
33.41
3
37.58
1
41.76
0
45.94
1
10th25th Median 75th90th 95th99th
4.10 6.27 9.44 15.47 22.70 33.04 42.43
Decay n=12 · μ=+13.8 · σ=40.662
-34.1
2
-24.1
2
-14.1
2
-4.1
0
+5.9
2
+15.9
0
+25.9
0
+35.9
0
+45.9
1
+55.9
1
+65.9
0
+75.9
2
10th25th Median 75th90th 95th99th
-23.9 -21.3 -0.3 +48.4 +78.4 +83.2 +85.4
GSc avg n=86 · μ=48.6 · σ=8.881
26.2
3
30.0
2
33.8
4
37.5
7
41.3
11
45.1
16
48.9
18
52.6
11
56.4
4
60.2
6
63.9
2
67.7
2
10th25th Median 75th90th 95th99th
37.7 43.3 49.0 53.7 60.8 62.8 69.0
GSc+ n=86 · μ=103 · σ=18.643
56
3
64
2
72
2
79
9
87
12
95
13
103
17
110
13
118
5
126
6
134
1
142
3
10th25th Median 75th90th 95th99th
80 91 103 114 130 132 144
FOP n=86 · μ=57 · σ=18.337
8
3
15
3
22
1
29
5
36
5
43
7
50
11
56
15
63
17
70
9
77
6
84
4
10th25th Median 75th90th 95th99th
32 47 59 69 78 83 89
OS+ n=86 · μ=119 · σ=81.412
39
31
65
3
91
23
117
6
144
8
170
3
196
1
222
2
248
2
274
1
300
1
326
5
10th25th Median 75th90th 95th99th
39 52 98 144 242 323 352
GE n=86 · μ=0.3 · σ=0.231
0.1
24
0.2
10
0.3
15
0.3
14
0.4
6
0.5
5
0.6
1
0.6
2
0.7
2
0.8
1
0.9
1
0.9
5
10th25th Median 75th90th 95th99th
0.1 0.1 0.3 0.4 0.7 0.9 1.0
K% n=86 · μ=31.1% · σ=18.6%
0.0%
10
6.7%
3
13.3%
12
20.0%
12
26.7%
8
33.3%
9
40.0%
12
46.7%
10
53.3%
4
60.0%
4
66.7%
1
73.3%
1
10th25th Median 75th90th 95th99th
0.0% 16.9% 29.7% 44.4% 53.9% 61.3% 70.6%
BB% n=86 · μ=12.3% · σ=9.9%
0.0%
23
2.8%
2
5.6%
7
8.3%
6
11.1%
11
13.9%
8
16.7%
5
19.4%
8
22.2%
2
25.0%
5
27.8%
7
30.6%
2
10th25th Median 75th90th 95th99th
0.0% 0.0% 12.5% 20.0% 27.3% 29.2% 33.3%
HR% n=86 · μ=2.7% · σ=6.5%
0.0%
67
2.8%
2
5.6%
6
8.3%
1
11.1%
5
13.9%
2
16.7%
0
19.4%
0
22.2%
0
25.0%
1
27.8%
0
30.6%
2
10th25th Median 75th90th 95th99th
0.0% 0.0% 0.0% 0.0% 11.1% 13.8% 33.3%
K-BB% n=86 · μ=11.5% · σ=18.9%
-33.3%
1
-26.0%
2
-18.6%
6
-11.2%
8
-3.8%
20
3.5%
3
10.9%
18
18.3%
10
25.7%
6
33.0%
7
40.4%
1
47.8%
4
10th25th Median 75th90th 95th99th
-10.9% 0.0% 12.5% 22.9% 37.5% 42.1% 54.6%
oAVG n=86 · μ=0.342 · σ=0.198
0.000
8
0.083
3
0.167
15
0.250
20
0.333
14
0.417
5
0.500
12
0.583
2
0.667
4
0.750
0
0.833
2
0.917
1
10th25th Median 75th90th 95th99th
0.134 0.204 0.300 0.455 0.586 0.667 0.858
WAR n=86 · μ=0.05 · σ=0.140
-0.25
3
-0.19
5
-0.12
5
-0.06
18
-0.00
18
0.06
16
0.12
9
0.18
4
0.24
3
0.30
3
0.36
0
0.43
1
10th25th Median 75th90th 95th99th
-0.11 -0.04 0.04 0.12 0.24 0.32 0.47
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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