Distributions

Team-level distributions · 454 games played · 76 teams
JSON
Players Teams
Distribution & Quartiles across all 76 teams · σ = population stdev
Metric Min Q1 Median Q3 Max σ
Win % 0.083 0.333 0.500 0.667 0.833 0.195
Pythag % 0.195 0.418 0.503 0.574 0.758 0.129
Run diff -152 -26 +1 +24 +164 50.390
OPS 0.797 0.966 1.097 1.215 1.637 0.168
OPS+ 70 86 101 111 136 14.097
PAVG 0.272 0.332 0.364 0.405 0.492 0.047
xRA 9.20 12.34 14.00 16.35 22.13 2.596
xRA 9.20 12.34 14.00 16.35 22.13 2.596
GSc avg 0.0 23.8 35.8 42.0 54.4 11.612
Run diff — outliers top & bottom 3 · z = std-devs from mean
TmValuez
GS +164 +3.25
SDC +108 +2.14
SK +87 +1.73
…
KKK -152 -3.02
VB -106 -2.10
CCB -80 -1.59
OPS — outliers top & bottom 3 · z = std-devs from mean
TmValuez
GS 1.637 +3.19
SDC 1.505 +2.41
MCP 1.409 +1.84
…
CBC 0.797 -1.80
WBC 0.798 -1.79
VB 0.800 -1.78
xRA (lower=better) — outliers top & bottom 3 · z = std-devs from mean
TmValuez
ZL 9.20 -2.03
BB 9.59 -1.88
GB 10.67 -1.47
…
KKK 22.13 +2.95
HEE 19.37 +1.89
MCB 19.24 +1.83
xRA (lower=better) — outliers top & bottom 3 · z = std-devs from mean
TmValuez
ZL 9.20 -2.03
BB 9.59 -1.88
GB 10.67 -1.47
…
KKK 22.13 +2.95
HEE 19.37 +1.89
MCB 19.24 +1.83
Pythag luck — outliers top & bottom 3 · z = std-devs from mean
TmValuez
KRM +4.6 +3.11
QBS +3.2 +2.17
OB +3.0 +2.04
…
CBK -4.0 -2.64
KBC -3.2 -2.11
NH -3.0 -1.97
Methodology
Quartiles use linear interpolation across the 30 team-aggregate values (matches numpy's default percentile()). σ is population standard deviation, not sample.

Outlier z-scores use that same population σ. A z above 1.5 is notable; above 2.0 the team is genuinely tail-end on that metric.

For the lower-is-better metrics (xRA, xRA), the outlier panel sorts ascending so the strongest run-prevention staffs sit in the top three.

Team aggregates roll up every per-player game row into a single team-level row before running the same sabermetric pipeline a player gets — so this is "team-quality on the WAR scale," not "sum of player WARs." Roster-WAR sum will not match the team WAR figure.
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