Notice: Trying to get property 'display_name' of non-object in /var/www/html/wp-content/plugins/wordpress-seo/src/generators/schema/article.php on line 52
keyboard_arrow_uptop

I received a decent number of questions about my park effects piece from last week, so I think it’s worthwhile to spend one more column rooting through the mailbag and discussing a few loose ends. The extremely short World Series-indeed, the extremely short postseason, with seven series played in just four games over the minimum-has taken some of the urgency out of the long-delayed umpire discussion.

Leading things off, reader C.S. asks:

One question that I’ve always had on park factors is: is it a straight up comparison between runs scored at home versus runs scored away or is it taken into consideration that the home team does not always hit in the bottom of the 9th, thus the home team’s runs scored are suppressed? In other words, the away team always hits nine times (barring the occasional rainout), while the home team many times hits only eight times. If it’s simply a comparison of runs scored by a team home versus away, wouldn’t it be more accurate to compare runs scored per plate appearance at home versus on the road?

In the classic park factor formula (which we cited in last week’s super-sized Further Reading section), the first adjustment that’s made is to correct for the disparity in innings between the home team and visitors. Regardless of the details, runs per inning would be a more relevant basis to measure than runs per plate appearance.

Reader M.H. chimes in:

I have no problem with the concept of park factors in general-clearly it’s going to be easier to score runs in some parks than in others-except when they change from year to year when the dimensions of the park itself do not. Fenway’s dimensions have been basically static for decades, so how are the scoring numbers fluctuating?

Isn’t it the players? If a team has a couple of sluggers who have career years and they score +200 runs than the previous year-or a bunch of guys get hurt and they end up -200 runs from the previous year-how can that change the “park effect” when clearly the park had nothing to do with the altered run environment?

M.H. raises two issues. The first is a fallacy that probably stems from the metric’s name: park factors are not solely controlled by the dimensions of the playing field or the ballpark; wind currents play a huge role in baseball, and even if your team keeps its fences in precisely the same place over the years, changes to or near the ballpark (like the construction of the auxiliary press boxes at Fenway, or even the construction of high-rise buildings nearby) can affect those currents. Even if you make no changes to the ballpark at all, the weather is going to be variable, with different humidity and temperatures from year to year; that will affect how the ball travels, and (as we see in Colorado) can even change the properties of equipment.

Also, since we’re comparing these park effects to the average, “neutral” park, the conditions at every other ballpark in the league affect your ballpark’s rating. If a divisional rival builds a new ballpark that’s a bandbox, your park’s factor will likely decrease in comparison; if cold, gusty weather suppresses run scoring in another rival’s ballpark, your own building’s park factor is likely to see a boost. So the idea that the park factors should remain static because the ballpark’s fences haven’t been moved doesn’t work.

M.H.’s second issue makes some intuitive sense-it figures that if you suddenly get better personnel in your lineup, your ballpark will look like an easier place to hit-but that’s not how park effects work. Take the 1992 Red Sox, for example. That team was probably the worst-hitting Red Sox team in the last fifty years, failing to crack 600 runs scored in a 162-game schedule, and hitting only 84 homers all year. Fenway’s park factor that season was 107, well above average and slightly higher than it had been the year before. In 2003, when the team hit 238 homers and came within shouting distance of 1,000 runs scored, the Fenway park effects were actually lower than they’d been in 1992.

How can this be? The important thing to remember is that we’re not looking at the absolute run scoring levels-we’re looking at the comparison between how both the home team and the visitors perform, both in and away from the ballpark in question.

Shifting our attention to the ballpark where the Red Sox just secured their second World Championship of the 21st century, reader A.C. set out to blow my mind:

In 1,395 games before the humidor (1993-2001) and 973 games since its installation (2002-2007), (what’s that, about 100,000 total PAs?-that’s a pretty decent sample size)

Pre-humidor, the Rox scored 69.5% more runs per game in Denver than on the road. Pre-humidor, opponents scored 42.3% more runs per game in Denver than on the road.
So: the Rockies homefield advantage in scoring was 164% that of their opponents.
Post-humidor, the Rox have scored 45.6% more runs per game in Denver than on the road. Post-humidor, opponents have scored 12.5% more runs per game in Denver than on the road.
Post-humidor, the Rockies homefield advantage in scoring has been 385% that of their opponents. Three hundred and eighty five frikkin percent!!!
In other words, before the humidor, Denver played like tee-ball for both teams. Post-humidor, it’s a relatively normal park for visitors, but it’s still been crazy funhouse mirror-land for the Rox offense.
Looks to me like something funny has been happening.

My numbers came out a little different from A.C.’s (my spreadsheet came up with 46% and 13% boosts, respectively, in the humidor era) but the differences weren’t significant enough to obviate the point: that’s an amazing advantage. Other teams in the 2002-2007 period enjoyed boosts of up to 15 percent greater run scoring than their opponents at home. The extra boost the Rockies get from their home park is more than twice that.

While A.C. suggests that this disparity might be the result of humidor-related foul play, the fact that there was a considerable advantage prior to the humidor’s inception-not to mention the rough treatment the Rockies got over the weekend-suggests otherwise. While the humidor has made a big difference in Denver, the lack of moisture in the baseballs obviously isn’t the only side effect of altitude. We could be looking at opposing teams suffering mild (or not-so-mild) altitude sickness, or the home team simply being more familiar with the ballpark.

Regardless of the cause, the Rockies’ advantage in runs scored at home is real. I’ll leave you with a look at the home field advantage (home winning percentage less road winning percentage) throughout the majors for the pre- and post-humidor periods:

1993-2001                 2002-2007
TEAM   Win%  HomeAdv.    TEAM    Win%  HomeAdv.
COL   .478      .135      COL   .460      .184
FLO   .451      .123      TBA   .394      .140
TEX   .507      .105      TEX   .479      .136
SLN   .510      .101      WAS   .471      .121
PIT   .443      .095      HOU   .522      .117
SFN   .534      .086      MIL   .443      .114
NYN   .505      .081      SEA   .498      .105
DET   .438      .078      TOR   .495      .100
MON   .480      .076      MIN   .550      .098
PHI   .472      .074      OAK   .563      .097
ANA   .475      .072      CHA   .526      .093
OAK   .491      .071      FLO   .499      .091
SDN   .482      .071      BOS   .579      .088
SEA   .538      .067      SLN   .564      .088
NYA   .590      .064      PIT   .434      .082
CLE   .572      .063      KCA   .401      .077
CHN   .474      .062      ANA   .562      .076
ARI   .528      .062      NYA   .609      .075
HOU   .543      .054      SFN   .524      .073
CHA   .523      .053      ATL   .568      .072
LAN   .522      .050      LAN   .526      .072
TBA   .406      .048      SDN   .489      .067
TOR   .496      .047      ARI   .490      .066
BOS   .529      .038      CLE   .503      .064
MIL   .455      .033      DET   .437      .050
MIN   .441      .033      CIN   .461      .049
ATL   .611      .031      NYN   .495      .037
BAL   .503      .027      BAL   .441      .037
CIN   .507      .022      PHI   .529      .034
KCA   .459      .009      CHN   .488      .023

Jason Pare contributed research to this article.

Thank you for reading

This is a free article. If you enjoyed it, consider subscribing to Baseball Prospectus. Subscriptions support ongoing public baseball research and analysis in an increasingly proprietary environment.

Subscribe now
You need to be logged in to comment. Login or Subscribe