Hockey nets are 178 feet apart. Basketball hoops are 10 feet above the hardwood. And American football fields are 100 yards long. In any professional sport, the playing surface and goal size is the same everywhere you play. Any professional sport, but baseball, that is. Sure, the MLB has rules about sizing: the pitcher’s mound is 10 inches high and 60 and a half feet from home plate, and home plate is 90 feet from first base, but once you leave the infield it’s a bit of gong show. Take a look at the overlay of every Major League stadium above – there’s thirty of them, and none of them are the same.

This isn’t really an issue for most fans; in fact, it’s part of the charm. You see, baseball stadiums are so different because the eras in which they were built were so different. The game was quickly increasing in popularity when the old parks were built in the early 1900s. They were stuffed in wherever they could fit, amongst busy transportation networks, commercial districts, and residential areas. Each slot was different and the fields just kind of *had* to fit. There’s only three of these relics still in use, and not surprisingly, two of them have the smallest outfields in the majors, while the third (Yankee Stadium) is not exactly huge. Have a look at this graph showing outfield sizes in acres:

After World War II, careful urban planning began to shape the American city. Combined with suburban sprawl, this meant that professional ballparks were pushed to the burbs, build on vast land parcels with plenty of room for parking. The resulting stadiums lacked the character and charm of the ones that came before them. Large concrete, multi-purpose, bowls like the Rogers Centre in Toronto and Tropicana Field in Florida removed any semblance of tradition.

It’s this tradition that baseball prides itself in maintaining, and it’s what modern parks like Baltimore’s Camden Yards and San Diego’s Petco Park acknowledge. Although the design quirks are artificial, they give the fans that feeling of nostalgia that comes with watching your boys play in the middle of summer.

It’s not just outfield sizes that vary, though. Wall heights change from park to park too. Some will argue that this is based on the home team’s strengths (fewer power hitters means fewer home runs while a lower wall means a higher chance the ball will reach the crowd), and some say it’s just aesthetics. I don’t know why there’s no standard wall height, but I can tell you the difference between stadiums is huge. Look at Fenway Park, for example, home to both the highest wall and the shortest wall – the 37-foot Green Monster in left field towers over the mere 5’ wall to the right. Then there are parks like Safeco, Kauffman, U.S. Cellular, and the Rogers Centre that maintain a standard height all the way across.

The following graphs chart the outfield wall height and distance from home, from the third baseline to the first baseline, in each stadium, where 135° is third base and 45° is first. 90°, in this case would be straight down centre field.

So what does this mean for offensive statistics? Well, I’ll show you. In 2015 there were **203** home runs at the Rogers Centre – we’re talking Toronto because the Blue Jays are my boys. If Rogers Centre was the same size and shape as Coors Field, home to the Colorado Rockies, we’re looking at just **118**. 33 of the 85 lost homers wouldn’t reach the outfield wall while the rest would hit it – and Colorado’s outfield walls aren’t particularly tall at 8 feet almost all the way around. If the boys played in Fenway, the number of HRs is lowered to **192**, mostly due to the Green Monster.

If we say that, theoretically, all MLB parks were standardized, using the average dimensions as our standard, there would have been only **163** home runs at the Skydome (the original name of the Rogers Centre for those non-Torontonians). 6 wouldn’t reach the wall while 34 would hit it. Take a look:

The **167** balls knocked out of the park at Fenway would decrease to **102 **– 31 not reaching the wall and 34 hitting it. The **204** at Coors Field would become **187**, a difference of 17, only one of which wouldn’t reach. This is taking into account the change in altitude, but not other atmospheric data that would affect hit distance as it’s not readily available. I’m also only tracking actual home runs, as HITf/x data isn’t publicly available for anything but (i.e. singles, doubles, and triples that could conceivably have become home runs on a standardized field).

Here’s the thing, though, I’m sure most fans would be 100% opposed to the idea of standardizing the field – remember that whole charm and tradition thing? Yeah, me too. It’s pretty safe to say that’s not going to happen. It’s fun to think about, though. And you have to admit that guys playing for the Red Sox have a clear advantage when it comes to home run potential, compared to the fellows on, say, the Mets, where the outfield is huge, the walls are pretty high, and they’re missing the mile-high air of Colorado. What if we gave someone from the Jays, whose field is fairly average sized, the advantage of Fenway’s short outfield or the disadvantage of the Rockies’ huge fair territory? Let’s see:

Above is every one of AL MVP Josh Donaldson’s hits in 2015. 41 homers, 2 triples, 41 doubles, and 100 singles. The thick blue line is a scale drawing of his home turf (literally) at the Rogers Centre while the 29 other parks are overlaid behind. If he played on that standardized field we created earlier, he would only have knocked it out of the park **33** times. Not surprisingly, it’s his homers from smaller parks that are no longer homers.

Look again at that map. See the two thin lines in left field, closest to home plate, one red and one blue? That’s Boston and Houston, respectively, and it looks like there 4 or 5 balls in there. So if he played for Boston, each game converted for the Red Sox schedule, he’d gain a few dingers, right? Nope. He’d actually get 5 *fewer*. 3 wouldn’t make it to the wall and 2 would hit it. None, however, would hit the Monster -surprising until you notice that most of his round-trippers at less than 37 feet high in left field happened on the road.

Let’s pretend for a moment he played for the Rockies, with their schedule. Just as you probably expected, he’d have even fewer quadruples. 28 to be exact, and that even factors in that rocky mountain air (when data allowed).

Hopefully, we won’t get a chance to see how the bringer of rain would do on any other team – we won’t for two more years anyway, – but it’s fun to look at how the irregular outfields of major league baseball affect offensive production. There’s a whole lot more to it of course and I won’t pretend to be any sort of expert on the matter, but the data available makes for some sweet visualizations.

### Now for the fun part…

Here is where the math gets pretty intense, and honestly a little tedious. To find out if a homer at Rogers Centre is a homer at Fenway, we need to do a few things. The first is to find our given data, the first part of which involves the actual stadium. Remember when I said that no two parks are alike? Well, that makes this a real bitch. For every stadium in the MLB, a measurement from home plate to left field, center field, and right field is provided. That’s great, but it’s not enough. Each park is an odd shape, some with strange angles and others with protruding outfield walls. So I went ahead and digitally drew a scale plan of each park and then took measured from home plate to every point in the outfield where the wall changes direction, as well as the angle of each section of the wall relative to the one before it. This means that we can find the distance from the plate to the wall, as well as the wall height, at any given horizontal angle using a bit of Pythagoras and trigonometry. We also add in some details about field altitude, gravitational pull, and latitude/longitude, and we’re on our way. Perfect.

Next, we gather data about the pitch and the hit. The Major Leagues track a ton of data about this stuff, and it’s known as PitchFX and HitFX. It’s not always readily and freely available, but websites like ESPN’s Homerun Tracker help a lot. Here’s what we need: pitch type; pitch velocity; horizontal angle of the hit, telling us which direction the ball went; the distance the ball travels, or would have traveled had it not hit the seats; the vertical launch angle off the bat; the height of the swing, the exit velocity, telling us how fast the ball is moving right after it leaves the bat; and the time the ball spends in the air. Not all of this is available for every homer, but if we know a couple of things, we can figure out the rest.

Okay cool. We’ve told Excel the details of each park and the details of each hit. Now we let Excel tell us if it’s a homer or not. There are two things the ball needs to do. Most importantly, it needs to reach the edge of the outfield. Referencing the scale drawings of each park and the measurements we took earlier, Excel can tell us the distance to the wall at the ball’s horizontal angle. The formula to do this first tells Excel to decide which section of the outfield wall it’s aimed at and then does some Pythagoras to spit out the exact distance the ball needs to travel.

The ball also needs to be higher than the wall when it gets there. We can determine this in five steps. Firstly, we find the vertical launch angle, if it’s not provided . Then we factor in the vertical component of the ball’s initial velocity to find the total time the ball is in the air , where g is equal to gravity and h is the height of the swing). Thirdly, we calculate the horizontal acceleration using , where hit distance. Next, we find the time it takes the ball to reach the wall , where =distance to the wall.. Lastly, we use all of the above to find the vertical displacement at the time to the wall .

I could go on and on about this, but I think you get the point. Check out my data here..

**Notes and Sources**

Designed with ♥ by Sam Vickars (www.samvickars.is).

© Copyright 2015, all rights reserved. Trademarks property of their respective owners.Designed with ♥ by Sam Vickars (www.samvickars.is).

© Copyright 2015, all rights reserved. Trademarks property of their respective owners.

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