Distributions

Team-level distributions · 561 games played · 36 teams
Players Teams
Distribution & Quartiles across all 36 teams · σ = population stdev
Metric Min Q1 Median Q3 Max σ
Win % 0.156 0.354 0.500 0.669 0.839 0.197
Pythag % 0.178 0.349 0.489 0.597 0.805 0.151
Run diff -217 -100 -6 +81 +289 123.266
OPS 0.769 0.990 1.197 1.379 1.503 0.220
OPS+ 65 84 102 116 126 18.510
PAVG 0.262 0.335 0.408 0.462 0.506 0.069
wERA 6.08 9.05 10.93 12.10 14.30 1.944
xRA 7.66 9.59 10.59 11.62 13.50 1.432
GSc avg 15.4 27.3 33.0 36.8 48.9 7.959
Run diff — outliers top & bottom 3 · z = std-devs from mean
TmValuez
POR +289 +2.34
MIN +205 +1.66
SLB +185 +1.50
OAK -217 -1.76
ATL -198 -1.61
WSN -164 -1.33
OPS — outliers top & bottom 3 · z = std-devs from mean
TmValuez
CIN 1.503 +1.48
PHI 1.489 +1.41
ARI 1.464 +1.30
OAK 0.769 -1.85
WSN 0.773 -1.83
LAD 0.841 -1.53
wERA (lower=better) — outliers top & bottom 3 · z = std-devs from mean
TmValuez
POR 6.08 -2.33
ARI 7.07 -1.82
SFG 8.47 -1.10
CHC 14.30 +1.90
MIL 13.98 +1.73
ATL 13.90 +1.69
xRA (lower=better) — outliers top & bottom 3 · z = std-devs from mean
TmValuez
POR 7.66 -2.05
ARI 8.25 -1.64
PIT 8.48 -1.48
ATL 13.50 +2.03
CHC 13.35 +1.92
MIL 13.08 +1.73
Pythag luck — outliers top & bottom 3 · z = std-devs from mean
TmValuez
HOU +4.9 +1.89
SFG +4.4 +1.71
SEA +4.1 +1.60
SDP -6.2 -2.07
NYY -5.3 -1.75
CIN -5.2 -1.72
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 (wERA, 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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