Complete Outfield Dimensions (2024)

I’ve been consistently dismayed at how metrics such as park factors could be calculated when it seems as if the fundamental data for calculating such metrics, the actual size and dimensions of MLB parks, is unknown.

Any diagram or database of park dimensions I’ve found usually has LF, CF, and RF distances measured along with distances from home plate to the power alleys. A typical diagram is the following one of Fenway Park where five “important” distances have been marked.

The locations of these markings, particularly the power alleys, is extremely inconsistent across the different ballparks. In some parks the power alleys are measured at LCF and RCF (22.5° from each foul line), in other parks it’s where there is a corner in the outfield fence, and in other parks it’s just somewhere. In the Fenway image it’s impossible to tell where exactly any of those markings are and what any of the distances are between them. In any case, these five data points, plus any other distance markings, are not enough to define the shape and size of a ballpark.

We should be able to point in any direction in a ballpark and know the exact distance to the fence. Guessing by examining the proximity to the closest marked spot is insufficient for any real analysis. In order to understand the properties of a ballpark, to, for example, determine the ideal defensive positioning of the outfielders, we need to be able to mathematically define the boundaries, i.e. the location of the outfield fence.

These mathematical formulas defining the outfield fences are exactly what this article presents. If you look to the bottom of this article you’ll see the 30 equations that define the major league outfield fence distances from home plate. The equations are given in polar coordinates in terms of the angle θ from the right field foul line (RF=0°, LF=90°). The resulting distance, r, is given in feet.

The equations are all piecewise functions, with breaks between the sub-functions whenever the outfield wall changes direction. The sub-functions are given by linear functions or ellipses (all mapped to polar coordinates) where appropriate. Some ballparks are more complicated than others and that’s generally reflected in the number of required sub-functions. Some of the functions may seem intimidating, however, I would intend that any analysis with these functions would be done by computer, which makes the number of sub-functions in each piecewise definition generally irrelevant once the equations have been coded.

These equations were determined by examining the diagrams at ESPN Home Run Tracker, as well as park dimension data from Wikipedia, Clem’s Baseball, MLB team pages, and any otherpark diagrams I could find. These sources were not always in agreement and I used my best judgment when these situations arose, however I would guess that the standard error of the fence distance for any angle for any park is only a couple feet. There are also often many more precision digits that appear in the equations than necessary. This is for two reasons. The first reason is that it helps avoid discontinuities when transitioning between the functions and the second reason is that sometimes I just wrote down a lot of digits.

As a simple exercise of what can be done with this type of data, I’ve calculated the areas of the outfields of all the different MLB parks, as well as the respective sizes of left, center, and right field. The results are shown in Table 1 (sortable by clicking any of the header items). As an arbitrary start point, I assumed the outfield started 150 feet away from home plate and that each field spans 30°. Many of these results match our intuition (Yankee Stadium RF is tiny, Comerica Park CF is huge), but we now have numbers assigned to that intuition that can be analyzed.

Table 1: Outfield Areas (x1000 ft²)
City	Team	Stadium	OF	LF	CF	RF
Arizona	Diamondbacks	Chase Field	94.1	28.7	36.2	29.2
Atlanta	Braves	Turner Field	94.1	29.2	35.3	29.6
Baltimore	Orioles	Oriole Park at Camden Yards	87.8	27.1	34.4	26.3
Boston	Red Sox	Fenway Park	83.5	21.1	32.8	29.6
Chicago	Cubs	Wrigley Field	89.7	26.8	34.1	28.8
Chicago	White Sox	U.S. Cellular Field	87.8	26.5	34.2	27.2
Cincinnati	Reds	Great American Ball Park	87.1	26.7	34.5	26.0
Cleveland	Indians	Progressive Field	85.6	25.8	33.2	26.6
Colorado	Rockies	Coors Field	97.3	30.2	38.3	28.8
Detroit	Tigers	Comerica Park	95.8	28.5	39.9	27.4
Houston	Astros	Minute Maid Park	88.6	23.2	38.8	26.6
Kansas City	Royals	Kauffman Stadium	97.9	30.4	36.9	30.5
Los Angeles	Angels	Angel Stadium	89.2	29.0	32.7	27.5
Los Angeles	Dodgers	Dodger Stadium	91.1	28.8	33.8	28.5
Miami	Marlins	Marlins Park	93.4	28.3	36.9	28.3
Milwaukee	Brewers	Miller Park	91.1	28.9	34.6	27.6
Minnesota	Twins	Target Field	90.4	28.0	35.8	26.6
New York	Mets	Citi Field	91.5	27.1	36.0	28.4
New York	Yankees	Yankee Stadium	87.6	27.7	35.6	24.2
Oakland	Athletics	O.co Coliseum	88.4	27.5	33.4	27.5
Philadelphia	Phillies	Citizens Bank Park	86.2	25.7	34.9	25.5
Pittsburgh	Pirates	PNC Park	90.2	29.8	33.9	26.5
San Diego	Padres	PETCO Park	90.8	27.9	35.0	27.8
San Francisco	Giants	AT&T Park	92.2	27.3	36.2	28.7
Seattle	Mariners	Safeco Field	87.8	27.2	34.2	26.4
St. Louis	Cardinals	Busch Stadium	91.1	28.6	34.1	28.4
Tampa Bay	Rays	Tropicana Field	89.6	27.4	36.5	25.7
Texas	Rangers	Globe Life Park in Arlington	92.7	28.9	36.1	27.7
Toronto	Blue Jays	Rogers Centre	91.8	27.9	35.9	27.9
Washington	Nationals	Nationals Park	88.8	28.2	32.8	27.8

The previous definition of the different fields could be modified or determined based on theintended purpose. For example, for determining the outfield positioning, the relative speed of each fielder would determine the area for which each fielder is responsible. With these equations, those values can be exactly calculated. Also, just because two fields have the same area, does not mean they are of equal difficulty to defend. The shape of the fence determines how accessible the different parts of the area are. Again though, with these equations these shapes and values can be determined.