Distributions

League-wide player histograms · 607 games played · 502 qualifying batters (33+ PA) · 346 qualifying pitchers (33+ outs)
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Marking Leo Curvey VCO on every histogram below. Compare ↗

Batting distributions

PAVG n=502 · μ=0.403 · σ=0.142
0.064
3
0.122
14
0.180
●
47
0.239
77
0.297
59
0.355
69
0.413
64
0.472
62
0.530
49
0.588
38
0.647
17
0.705
3
10th25th Median 75th90th 95th99th
0.220 0.281 0.402 0.509 0.604 0.641 0.682
Highlighted player: 0.239 · approximate percentile: 10–25th
OPS n=502 · μ=1.196 · σ=0.436
0.327
10
0.479
33
0.631
●
58
0.783
72
0.935
47
1.087
58
1.239
57
1.391
42
1.543
38
1.695
39
1.847
31
1.999
17
10th25th Median 75th90th 95th99th
0.649 0.826 1.156 1.539 1.842 1.936 2.060
Highlighted player: 0.716 · approximate percentile: 10–25th
OPS+ n=502 · μ=101 · σ=36.696
28
12
41
35
54
●
64
67
66
80
52
93
58
106
54
119
41
132
34
145
43
158
35
171
8
10th25th Median 75th90th 95th99th
55 69 97 130 155 163 171
Highlighted player: 61 · approximate percentile: 10–25th
wOBA n=502 · μ=0.535 · σ=0.210
0.148
19
0.224
48
0.300
●
73
0.376
68
0.452
55
0.528
57
0.604
50
0.680
38
0.756
38
0.832
31
0.908
21
0.984
4
10th25th Median 75th90th 95th99th
0.285 0.362 0.510 0.700 0.842 0.906 0.971
Highlighted player: 0.307 · approximate percentile: 10–25th
BAVG n=502 · μ=0.465 · σ=0.168
0.077
6
0.144
14
0.211
51
0.277
●
88
0.344
45
0.411
59
0.478
65
0.545
65
0.611
50
0.678
31
0.745
23
0.812
4
10th25th Median 75th90th 95th99th
0.250 0.321 0.465 0.594 0.702 0.750 0.800
Highlighted player: 0.284 · approximate percentile: 10–25th
ISO n=502 · μ=0.262 · σ=0.165
0.000
46
0.064
●
75
0.129
92
0.193
70
0.258
59
0.322
42
0.387
36
0.451
42
0.516
16
0.580
14
0.645
8
0.709
2
10th25th Median 75th90th 95th99th
0.068 0.135 0.229 0.374 0.500 0.562 0.658
Highlighted player: 0.080 · approximate percentile: 10–25th
BABIP n=502 · μ=0.595 · σ=0.165
0.125
2
0.207
10
0.288
33
0.370
●
66
0.451
65
0.533
92
0.614
93
0.696
68
0.777
49
0.859
16
0.940
4
1.022
4
10th25th Median 75th90th 95th99th
0.380 0.474 0.595 0.709 0.800 0.850 0.967
Highlighted player: 0.417 · approximate percentile: 10–25th
K% n=502 · μ=22.8% · σ=10.6%
3.7%
30
8.5%
75
13.3%
81
18.1%
86
22.9%
82
27.7%
●
65
32.5%
26
37.3%
35
42.1%
11
46.9%
7
51.7%
2
56.6%
2
10th25th Median 75th90th 95th99th
9.8% 14.9% 21.4% 29.0% 38.1% 41.5% 50.0%
Highlighted player: 28.4% · approximate percentile: 50–75th
BB% n=502 · μ=10.9% · σ=4.3%
0.0%
7
2.1%
15
4.2%
54
6.4%
70
8.5%
107
10.6%
96
12.7%
●
68
14.9%
40
17.0%
21
19.1%
16
21.2%
4
23.4%
4
10th25th Median 75th90th 95th99th
5.6% 7.9% 10.5% 13.5% 16.7% 18.4% 22.5%
Highlighted player: 14.8% · approximate percentile: 75–90th
2C-RBI% n=502 · μ=18.6% · σ=14.4%
0.0%
119
8.3%
130
16.7%
●
109
25.0%
68
33.3%
37
41.7%
13
50.0%
22
58.3%
2
66.7%
0
75.0%
0
83.3%
0
91.7%
2
10th25th Median 75th90th 95th99th
0.0% 8.6% 16.7% 26.1% 37.4% 49.9% 54.5%
Highlighted player: 18.2% · approximate percentile: 50–75th
2C-Conv% n=502 · μ=64.3% · σ=29.5%
0.0%
32
8.3%
●
6
16.7%
14
25.0%
31
33.3%
36
41.7%
14
50.0%
55
58.3%
32
66.7%
42
75.0%
68
83.3%
73
91.7%
99
10th25th Median 75th90th 95th99th
22.3% 44.7% 71.4% 88.9% 100.0% 100.0% 100.0%
Highlighted player: 14.3% · approximate percentile: ≤ 10th
MhAB% n=502 · μ=2.9% · σ=3.0%
0.0%
●
184
1.3%
103
2.7%
79
4.0%
40
5.3%
28
6.6%
31
8.0%
18
9.3%
10
10.6%
2
11.9%
3
13.3%
1
14.6%
3
10th25th Median 75th90th 95th99th
0.0% 0.0% 2.3% 4.3% 7.3% 8.6% 12.5%
Highlighted player: 0.0% · approximate percentile: ≤ 10th
RISP-AVG n=502 · μ=0.426 · σ=0.183
0.031
9
0.112
39
0.193
●
66
0.273
80
0.354
93
0.435
56
0.516
60
0.596
52
0.677
26
0.758
11
0.839
6
0.919
4
10th25th Median 75th90th 95th99th
0.200 0.284 0.404 0.552 0.675 0.727 0.869
Highlighted player: 0.200 · approximate percentile: ≤ 10th
RISP-OPS n=502 · μ=1.254 · σ=0.525
0.281
27
0.500
52
0.719
●
85
0.938
72
1.157
76
1.376
52
1.595
50
1.814
44
2.033
31
2.252
6
2.471
6
2.690
1
10th25th Median 75th90th 95th99th
0.612 0.833 1.211 1.636 2.000 2.151 2.526
Highlighted player: 0.733 · approximate percentile: 10–25th
RISP-Conv n=502 · μ=0.49 · σ=0.235
0.06
26
0.18
●
94
0.30
101
0.42
107
0.54
56
0.66
55
0.78
30
0.90
24
1.02
7
1.14
0
1.26
1
1.38
1
10th25th Median 75th90th 95th99th
0.22 0.31 0.45 0.65 0.84 0.95 1.06
Highlighted player: 0.22 · approximate percentile: ≤ 10th
WAR n=502 · μ=0.19 · σ=0.643
-1.11
9
-0.83
●
33
-0.55
94
-0.26
100
0.02
86
0.30
58
0.59
40
0.87
33
1.16
22
1.44
18
1.72
5
2.01
4
10th25th Median 75th90th 95th99th
-0.50 -0.29 0.06 0.56 1.15 1.49 1.92
Highlighted player: -0.61 · approximate percentile: ≤ 10th

Pitching distributions

wERA n=346 · μ=10.18 · σ=3.802
2.62
16
4.59
42
6.56
72
8.53
66
10.51
66
12.48
38
14.45
24
16.42
11
18.40
7
20.37
3
22.34
0
24.31
1
10th25th Median 75th90th 95th99th
5.58 7.38 9.85 12.40 15.15 16.74 20.26
xRA n=346 · μ=10.26 · σ=3.283
3.55
5
5.01
35
6.46
57
7.91
64
9.37
42
10.82
52
12.27
37
13.73
24
15.18
17
16.63
7
18.09
3
19.54
3
10th25th Median 75th90th 95th99th
6.36 7.74 9.85 12.46 14.84 15.93 18.86
Decay n=268 · μ=+2.5 · σ=18.778
-76.1
2
-65.5
0
-54.9
0
-44.2
6
-33.6
8
-22.9
39
-12.3
53
-1.6
58
+9.0
56
+19.6
25
+30.3
19
+40.9
2
10th25th Median 75th90th 95th99th
-19.2 -8.4 +3.3 +13.9 +26.3 +33.4 +38.6
GSc avg n=346 · μ=49.7 · σ=5.200
33.9
4
36.4
9
39.0
11
41.6
28
44.2
30
46.8
76
49.4
72
52.0
57
54.5
34
57.1
17
59.7
6
62.3
2
10th25th Median 75th90th 95th99th
42.7 46.8 49.8 53.3 56.5 57.7 60.5
GSc+ n=346 · μ=101 · σ=10.490
69
4
74
10
79
9
84
29
90
34
95
69
100
65
105
59
110
37
115
23
120
5
125
2
10th25th Median 75th90th 95th99th
87 95 101 108 115 116 123
FOP n=346 · μ=52 · σ=9.614
23
1
27
3
32
14
36
35
41
37
45
50
50
62
54
59
59
46
63
25
68
11
73
3
10th25th Median 75th90th 95th99th
38 45 53 59 64 67 72
OS+ n=346 · μ=121 · σ=56.237
46
53
71
90
96
68
121
53
147
20
172
23
197
13
222
10
248
8
273
5
298
2
323
1
10th25th Median 75th90th 95th99th
65 80 107 144 206 244 287
GE n=346 · μ=2.5 · σ=1.271
1.2
129
1.8
93
2.5
42
3.1
25
3.7
24
4.3
13
4.9
8
5.5
5
6.2
2
6.8
2
7.4
1
8.0
2
10th25th Median 75th90th 95th99th
1.4 1.6 2.1 2.9 4.3 5.0 6.9
K% n=346 · μ=30.4% · σ=7.3%
10.3%
3
14.3%
6
18.3%
34
22.2%
56
26.2%
85
30.2%
61
34.1%
51
38.1%
26
42.0%
17
46.0%
5
50.0%
0
53.9%
2
10th25th Median 75th90th 95th99th
21.3% 25.4% 29.8% 35.2% 40.2% 43.2% 47.2%
BB% n=346 · μ=10.9% · σ=3.9%
2.4%
10
4.2%
20
6.1%
55
8.0%
60
9.9%
69
11.8%
60
13.7%
29
15.6%
19
17.5%
14
19.3%
8
21.2%
0
23.1%
1
10th25th Median 75th90th 95th99th
6.2% 8.1% 10.6% 13.1% 16.1% 17.8% 20.5%
HR% n=346 · μ=3.7% · σ=2.6%
0.0%
57
1.2%
70
2.3%
52
3.5%
61
4.7%
37
5.8%
29
7.0%
12
8.2%
19
9.3%
5
10.5%
2
11.7%
0
12.8%
2
10th25th Median 75th90th 95th99th
0.6% 1.8% 3.4% 5.1% 7.4% 9.0% 10.3%
K-BB% n=346 · μ=12.6% · σ=8.2%
-12.6%
2
-8.0%
5
-3.5%
18
1.1%
45
5.7%
72
10.3%
70
14.9%
60
19.5%
48
24.1%
17
28.7%
5
33.3%
3
37.9%
1
10th25th Median 75th90th 95th99th
2.8% 6.6% 11.9% 18.1% 23.0% 26.5% 33.0%
oAVG n=346 · μ=0.445 · σ=0.092
0.140
2
0.185
0
0.230
6
0.275
18
0.321
40
0.366
61
0.411
65
0.456
63
0.501
42
0.546
24
0.591
16
0.636
9
10th25th Median 75th90th 95th99th
0.332 0.383 0.443 0.506 0.568 0.605 0.670
WAR n=346 · μ=0.42 · σ=0.645
-0.84
8
-0.46
51
-0.08
123
0.31
83
0.69
32
1.07
26
1.46
8
1.84
8
2.22
3
2.60
2
2.99
0
3.37
2
10th25th Median 75th90th 95th99th
-0.20 0.03 0.27 0.64 1.17 1.77 2.50
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 wERA. K-BB% is plain (K - BB) / BF.
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