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One of the six or seven factoids about the World Series which somehow escaped my notice when writing this site’s epic preview was that the matchup between the Yankees and Phillies marked the first time since 1926 (Yankees vs. Cardinals) that the two teams who led their respective leagues in home runs faced off in the Fall Classic. The Phillies hit 224 homers and featured a quartet of hitters-Ryan Howard, Chase Utley, Jayson Werth, and Raul Ibañez-who each hit at least 30, the 12th such combo in history. The Yankees swatted 244 homers and had seven players with at least 20 homers, the fourth team with such a widespread distribution of dingers.

Given those numbers, I had intended to set aside time to follow up my late-April look at home-run rates, particularly with Nu-Yankee Stadium’s homer-promoting qualities the subject of so much discussion this year. Alas, it slipped through the cracks, but that only means we’ve got something else to warm our hands with as the Hot Stove season kicks off.

Back in April, amid so much breathless commentary from the mainstream media regarding rising homer rates, I noted that on a per-game basis, homers were up a whopping 20.8 percent relative to the previous year’s comparable timeframe (the late start in the year made an April-to-April comparison less valuable), and 7.7 percent relative to overall 2008 rates. That trend leveled off, though as in years past, April’s data foretold the overall direction of change. Looking at overall rates in the context of the long ball-happy Wild Card Era:

Year    HR/G  Change
1995   1.012   -2.1%
1996   1.094    8.2%
1997   1.024   -6.4%
1998   1.041    1.7%
1999   1.138    9.3%
2000   1.172    2.9%
2001   1.124   -4.1%
2002   1.043   -7.2%
2003   1.071    2.8%
2004   1.123    4.8%
2005   1.032   -8.1%
2006   1.109    7.4%
2007   1.020   -8.0%
2008   1.005   -1.5%
2009   1.037    3.3%

I’ve expressed the per-game rate as per team per game, a preference that jibes with our tendency to talk of run-scoring environments in terms of a single team (as in normalizing statistics to a 4.5 RPG environment). Overall, home runs increased by 3.3 percent over 2008, a rather ho-hum change that’s notable primarily because 2008 marked the lowest rate of the era, with 2007 the being second-lowest. Excluding the shortened 1995 season, this year’s rate ranks 10th in the current era.

As it turns out, that modest increase was actually the result of sharply divergent trends in the two leagues:

Year     NL    change    AL    Change    Gap
1995   0.952   -0.2%   1.071   -3.7%    0.119
1996   0.979    2.8%   1.210   13.0%    0.231
1997   0.954   -2.6%   1.094   -9.6%    0.140
1998   0.988    3.6%   1.102    0.7%    0.114
1999   1.117   13.0%   1.163    5.6%    0.046
2000   1.159    3.8%   1.187    2.0%    0.028
2001   1.139   -1.7%   1.106   -6.8%   -0.033
2002   1.003  -12.0%   1.088   -1.6%    0.085
2003   1.046    4.3%   1.101    1.2%    0.055
2004   1.099    5.1%   1.150    4.4%    0.051
2005   0.995   -9.5%   1.075   -6.5%    0.080
2006   1.097   10.3%   1.123    4.5%    0.026
2007   1.043   -4.9%   0.993  -11.6%   -0.050
2008   1.008   -3.4%   1.001    0.8%   -0.007
2009   0.958   -4.9%   1.128   12.7%    0.170

In the National League, home runs declined for the third straight year, falling to levels not seen since the late 1990s, and falling back below American League rates for the first time since 2006, though lower rates in the Senior Circuit are actually the norm. In the AL, home runs rose sharply to their highest level since 2004, that via the sharpest increase in per-game rates since 1996. The gap between the two leagues, expressed above as the AL’s advantage, was the widest seen since 1996, after several years of the two leagues tracking fairly closely:

Above and Beyond

Of course, there’s a fairly obvious reason for the current split. You may have heard somewhere that 2009 featured the introduction of two new ballparks in the Big Apple, two parks that had very different effects on home-run rates. An MLB-high 237 homers were hit at Nu-Yankee Stadium, 1.463 per team per game-a staggering rate, but nonetheless a far cry from the 2.0 per game in April which prompted meteorologists to chip in their two cents about wind tunnels. Meanwhile, just 130 homers were hit at Citi Field, the majors’ sixth-lowest total. Isolating the impacts of the new parks and their predecessors from their leagues:

Split        2009    2008   Change
MLB         1.037   1.005    3.3%
MLB - NYs   1.031   1.003    2.8%
AL          1.121   0.997   12.4%
AL - NuYank 1.094   0.998    9.7%
NL          0.964   1.011   -4.6%
NL - CitiF  0.975   1.007   -3.1%

Note that the league figures here differ from the ones above because they’re tallied by ballpark, not by team offense. Controlling for the new venues, we see that homers in AL parks increased by almost 10 percent in 2009, while those in NL parks fell by just over three percent, which means that the split is more than just an effect of the two new parks. As it turns out, those parks didn’t even produce the largest year-to-year changes at either end of the spectrum:

Split        2009    2008   Change
Yankees     1.463   0.988   48.1%
Rangers     1.327   1.259    5.4%
Phillies    1.278   1.167    9.5%
Orioles     1.265   1.275   -0.8%
Brewers     1.241   1.084   14.4%
Angels      1.198   0.951   26.0%
Blue Jays   1.198   0.772   55.2%
White Sox   1.185   1.378  -14.0%
Reds        1.154   1.321  -12.6%
Twins       1.152   0.852   35.3%
Red Sox     1.148   0.907   26.5%
Rays        1.142   0.987   15.7%
Tigers      1.105   1.247  -11.4%
D'backs     1.074   0.975   10.1%
Rockies     1.062   1.074   -1.1%
Marlins     1.043   1.049   -0.6%
Astros      1.012   1.218  -16.9%
Nationals   1.000   0.925    8.1%
Cubs        1.000   1.148  -12.9%
Mariners    0.963   0.833   15.6%
Pirates     0.883   0.944   -6.5%
A's         0.864   0.791    9.2%
Indians     0.852   0.951  -10.4%
Royals      0.827   0.759    8.9%
Mets        0.802   1.074  -25.3%
Giants      0.796   0.741    7.5%
Padres      0.796   0.840   -5.1%
Dodgers     0.784   0.741    5.8%
Braves      0.765   0.889  -13.9%
Cardinals   0.741   0.994  -25.5%

Home runs in the Blue Jays’ Rogers Centre domicile saw the majors’ sharpest increase, as a team that lacked a player with more than 20 homers in 2008 suddenly found itself with two who had at least 35 in Aaron Hill and Adam Lind, neither of whom spent the full 2008 campaign with the Jays. Meanwhile, homers in Busch Stadium III fell by a slightly larger margin than they did in Queens-one homer on either side of the ledger would have been enough to turn things. That drop had much to do with a Cardinals staff which, thanks to the return of Chris Carpenter and the development of Joel Pineiro‘s sinker, had the majors’ highest ground-ball rate and yielded just 54 homers at home. The team also lost nearly 40 homers from 2008 to 2009 via injuries and falloffs from Troy Glaus, Rick Ankiel, and Ryan Ludwick. Both extremes serve to remind how volatile year-to-year home-run rates can be from park to park, as personnel changes, weather, and the kind of good ol’ randomness inherent in even an 81-game sample can have their effects. That’s why useful park factors rely upon multiple years of data.

Excluding the New York parks, the correlation between 2008 and 2009 per game rates is just 0.59, and the standard deviation of the percentage changes is 17.2 percent. That’s fairly typical of recent years; the correlation from 2007 to 2008, excluding the new Nationals Park and its predecessor, RFK Stadium, was just 0.45, and the standard deviation of the annual changes was 16.8 percent.

Also worth revisiting are the distance numbers from Hit Tracker, which reports both True Distance (actual home-run distance) and Standard Distance (normalized to remove the influence of wind, temperature, and altitude). Alas, this is a bit more slippery, since the data for previous years that’s currently available at the site differs from what I reported in April. Hit Tracker site domo Greg Rybarczyk told me that after analyzing data provided by Sportsvision (the PITCHf/x and HITf/x folks), he made subtle revisions to his aerodynamic model, incorporating spin modeling and lift coefficients, then went back and reanalyzed his old observations, resulting in slightly different figures. Here are the revised ones:

Year      Avg True Dis   Change    Avg St Dis   Change
2006         399.1         N/A        395.2       N/A
2007         397.3       -0.45%       394.9     -0.08%
2008         397.1       -0.03%       393.8     -0.28%
2009 Apr     399.5         N/A        396.5       N/A
2009 Full    398.8        0.43%       395.7      0.48%

As with overall home-run rates, True and Standard Distances showed a year-to-year increase for the first time during the period of Hit Tracker coverage, doing so by nearly two feet in both categories. Even so, those final numbers fell off considerably from April, when the increases over the previous year were closer to 2 1/2 feet. Based on Rybarczyk’s previous statements, we actually might have expected a sharper increase. He previously offered the rule of thumb that every foot added to the average fly-ball distance-not just homers, but all flies, a number unreported in the public domain but the kind of data the forthcoming HITf/x should offer-increases homers by about three percent. He also stated that the eight percent drop in home runs from 2006 to 2007 corresponded with a three-foot reduction in average fly-ball distance. From the figures above that turned into a 1.7- or 1.8-foot drop in homer lengths (depending upon category). Given a change of similar magnitude (but the opposite direction) from 2008 to 2009, an eight percent increase might not have been unreasonable to expect.

What’s also at least somewhat surprising is that we didn’t see an increase in what Rybarczyk calls “Just Enough” homers, balls which clear the fence by less than 10 vertical feet or landed less than one fence height beyond the fence. Instead, we saw a considerable increase in “No Doubt” homers, balls that cleared by at least 20 vertical feet and landed at least 50 feet beyond the fence.

Type          2009    2008    2007    2006
Just Enough   31.2%   31.4%   33.0%   30.7%
Plenty        48.2%   50.4%   46.4%   48.6%
No Doubt      20.3%   16.8%   16.5%   19.6%
Inside Park    0.2%    0.2%    0.3%    0.2%
Unknown        0.1%    1.2%    3.8%    0.8%

In other words, it appears that the increase in homers is from an uptick in balls that were crushed, not ones that barely cleared-consistent with the finding that the new parks really didn’t have all that much to do with the annual changes.

Which, if we’re trying to pin the increase on something, basically leaves us in the realm of speculation about juiced players (increasingly unlikely in this age not only of testing, but expanded powers of investigation; see Ramirez, Manny) and juiced balls. While the ‘No Doubt’ spike does pique my curiosity a bit, I’ll avoid rehashing the ball-based explanations I’ve offered in the past and note that it’s significantly more fun to see advances in the science of measuring what’s happening than it is to speculate about steroids or MLB conspiracies. Perhaps a year from now or even sooner, we’ll be able to look back on HITf/x data and match the varying fly-ball distances in each park with the changes in home run rates, expanding our understanding of the game by, oh, another 400 feet or so.

Special thanks to Greg Rybarczyk of Hit Tracker for his generous data assistance.

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Great stuff!!!
"The matchup between the Yankees and Phillies marked the first time since 1926 (Yankees vs. Cardinals) that the two teams who led their respective leagues in home runs faced off in the Fall Classic."

I think it's happened a few times since 1926. 1937, 1941, 1954 and 1955 all match as well.
OK, then shame on me because I parroted a statement that I first saw in a Tom Verducci piece without fact-checking it ( That same assertion made it into his piece in the magazine as well.

More correct was an assertion made in the Sporting News ( "It's a power-packed matchup, marking the first time since 1926 the World Series pits the teams that finished 1-2 in the majors in home runs, according to STATS LLC." There's room for a quibble there in that the Rangers tied the Phillies at 224 homers in far fewer plate appearances. But it wouldn't surprise me if that's where Verducci got his info from, then garbled it in a subsequent game of telephone.

Doesn't change the fact that I'm pissed for making an incorrect assertion in the opening graf here without fact-checking, but better here than the far-more-read preview, I guess. And good eye on you for bringing it to my attention.
Kinda curious to see how much of a factor the health of groundball pitchers like Wang, Webb, Cook etc affected home run rates.
Well, Cook's innings were down about 50 from 2008 and his homers were up, but the Rockies allowed seven fewer homers on the year. The Diamondbacks' homer allowed total rose by 21, and while Yusmeiro Petit (1.9 per nine) certainly had something to do with replacing Webb's innings, Dan Haren and Doug Davis both rose from 0.8 to 1.1 per nine last year. The Yankees' homer total rose by 38, but their road total allowed rose only by 5. And remember that Wang only made 15 starts in 2008.

So combined, the three teams' totals had a net increase of 81 homers. Roughly speaking, I doubt you could credit more than half of those to the three missing groundballers. So, lop 40 homers off this year's total and you get 1.029 HR/G, a 2.4% increase over 2008, 0.9 percent less than the actual increase.

That's not insignificant, if you start down this path you're going to have to account for Eric Milton's innings reduction as well.
Very interesting. Thanks for the drilldown!

Along the Milton idea, on the NL side you might also need to account for the injuries to Delgado and Aramis Ramires, half a season less of Teixiera and Holliday and other events that either led to NL injured home run hitters or NL to AL player movement.

Complicated, but might explain more about why the AL - NL gap widened.
Readers may be interested in the early-season analysis I did of how ball parks differ in the carry of a fly ball. The analysis combined hitf/x data for the initial trajectory with hittracker data (thanks to Greg R.) for the landing point and flight time. See my writeup at
So, HR are up in the AL because the richer players there can afford designer juice, but down in the NL because of steroid testing, right?

(I just finished reading "Fooled by Randomness", which probably needs to be on the BP recommended reading list. The book drips with contempt for people who make a living offering explanations for random noise...)