Distributions

League-wide player histograms · 607 games played · 502 qualifying batters (33+ PA) · 346 qualifying pitchers (33+ outs)
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Marking Mateus Jimenez SEA 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: 0.441 · approximate percentile: 50–75th
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: 1.382 · approximate percentile: 50–75th
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: 115 · approximate percentile: 50–75th
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: 0.622 · approximate percentile: 50–75th
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: 0.556 · approximate percentile: 50–75th
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: 0.294 · approximate percentile: 50–75th
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: 0.812 · approximate percentile: 90–95th
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: 26.5% · 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: 17.6% · approximate percentile: 90–95th
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: 9.1% · approximate percentile: 25–50th
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: 46.2% · approximate percentile: 25–50th
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: 3.7% · approximate percentile: 50–75th
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: 0.474 · approximate percentile: 50–75th
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: 1.526 · approximate percentile: 50–75th
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: 0.47 · approximate percentile: 50–75th
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: 0.19 · approximate percentile: 50–75th

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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