from Amazon
Thursday, February 15, 2007
Run Impact in Parks
Here you go…
Based on data from 2000-2006
Park is the ParkID from Retrosheet
hTeam is the typical home team in the Park
Diff is the number of runs scored by hTeam and their opponents in said Park minus the number of runs scored by both teams when the hTeam is on the road
G is number of games in Park
Calculation is based on per 27 outs by both home and visiting team
As for how to use the data, if you see “-2.00” runs, that means both teams in that park scored 2 runs total less than if they played elsewhere. So, divide by two to tell you how many fewer runs that batting team would score in that park as opposed to elsewhere (answer: 1 run). Divide by 2 again, to give you the impact of a player playing 50% of his games in said park (answer: 0.50 runs). So, a Padres pitcher’s ERA is about 0.50 higher better than it should be.
Park hTeam Diff G
DEN02 COL 3.41 567
ARL02 TEX 1.31 568
KAN06 KCA 1.08 565
PHO01 ARI 1.07 567
MON02 MON 0.88 361
CIN08 CIN 0.85 244
PHI13 PHI 0.85 243
TOR02 TOR 0.83 567
HOU03 HOU 0.68 567
CHI12 CHA 0.67 567
BOS07 BOS 0.62 567
MIN03 MIN 0.29 567
CIN09 CIN 0.19 325
SJU01 MON 0.18 43
ATL02 ATL 0.14 567
MIL06 MIL -0.06 486
NYC16 NYA -0.1 565
PIT08 PIT -0.13 484
STL09 SLN -0.25 487
OAK01 OAK -0.27 567
ANA01 ANA -0.33 568
PIT07 PIT -0.35 81
CLE08 CLE -0.38 566
STP01 TBA -0.4 563
CHI11 CHN -0.54 567
STL10 SLN -0.64 80
SFO03 SFN -0.66 568
PHI12 PHI -0.71 323
BAL12 BAL -0.73 566
DET05 DET -0.87 566
WAS10 WAS -0.89 162
NYC17 NYN -0.94 565
MIA01 FLO -0.95 563
LOS03 LAN -0.96 567
MIL05 MIL -1.15 81
SEA03 SEA -1.18 568
SAN02 SDN -1.69 243
SAN01 SDN -2.05 324