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How much (negative) WAR would I accrue playing on a Major League team for a full season?

I heard Sam Miller mention on a recent episode of Effectively Wild that you have to figure the WAR of a civilian would be considerably less than zero, possibly up to negative 20.
Let's do the math.
We'll assume a few things before we start. I am mandated by law to play every inning of every game. I am me, an overweight 30-year-old. This thought experiment doesn't put me on a specific team, just a general baseball season.
WAR is composed of six parts. Batting, fielding, baserunning, positional adjustment, league adjustment, and replacement level. I'm going to skip league adjustment because it requires me to do calculations for the whole league and it doesn't really change the player's final WAR that much. We'll assign values to these from simplest to hardest.


I will not be allowed to take the field. This is simple. 0 runs.

Positional Adjustment

As I won't be taking the field, I'd be relegated the the Designated Hitter position. The positional adjustment for 162 games of DH is -17.5 runs.

Replacement Level

The formula for replacement level runs is Replacement Level Runs = (570 x (MLB Games/2,430)) x (Runs Per Win/lgPA) x PA
If I play 162 games and bat 9th (because duh) I figure I'd get ~600 PA. I came to this conclusion thusly: The two players with the most PA in 2019 were Marcus Semien with 747 and Whit Merrifield with 735. They were both leadoff hitters who played 162 games. So if I average that number, a leadoff hitter would get ~741 PA over the course of the season if he plays every game. The difference between a full season of a leadoff hitter and a number 9 hitter is 1 PA per game minus 1 PA every 9 games. This is because the leadoff hitter will always have one more PA than the number 9 hitter at the end of a game, unless the number 9 hitter wat the last batter to come up in the game. This would happen roughly once every nine games. So 741-(162-(162/9))= 597 PA. So let's do the calculation based on that. (We'll use 2019 numbers.) (570x(2430/2430))x(10.296/186516)x600= 18.9. This brings me up to 1.4 runs.


In response to a Chris Hayes tweet musing on whether or not he'd get a hit against a full season of Major League pitching, Eno Sarris wrote an article for Fangraphs discussing the idea. He concludes that Hayes would get about 2 hits in a season. If we assume I'm roughly at the level of Hayes (he's ten years older than me, but seems to be in better shape), I'm going to say nah. If they pitch to me like a regular Major Leaguer, there is no way in hell I would make contact, let alone get a hit. However, they will quickly realize they don't have to pitch to me like a Major Leaguer. This will change two things, to varying degrees, depending on how far they go with it. The first is whether or not I actually end up getting a hit. If I'm pitched somewhere around 70 MPH with few breaking pitches, I'm sure I'd get a couple of hits. However, I doubt this would happen, for a couple of reasons. This brings me to the second thing, walks. If I were pitched to as a big leaguer, I'd get on base via walks. It wouldn't be close to Major League average, as my eye is not close to Major League average, but at the same time I have much less incentive to swing, so I'd probably be doing that less. Which brings us back to pitchers throwing softer in order to avoid walks.
First, let's analyze how that works in real baseball. I think that while taking something off your fastball does improve a pitcher's control, it hits diminishing returns quite quickly. My reasoning for this is twofold. First, pitchers are conditioned to throw the way they throw. Slowing down too much changes everything. It messed with their mechanics in ways that wouldn't necessarily be positive. The second point is that throwing a ball from 60 feet six inches away into a box roughly 500 inches square is really hard, even for a Major League pitcher.
Take 2019 for example. In 2019, non-pitchers batted .256. Pitchers, on the other hand, batted exactly half that, .128. As a result of pitchers being that much worse at hitting, the average fastball thrown to them was 92.4 MPH, as opposed to 93.2 MPH thrown to non-pitchers. While their walk rates were only 3.1%, well below the non-pitcher rate of 8.7%, I believe this is due mostly to pitchers' ineptitude at taking walks. This is because the drop in velocity only improved their Zone% from 41.6% to 49.9%. Not an insignificant difference, but still really close in context. You'd think pitchers would take off even more than the less than 1 MPH they do when throwing to pitchers, all it does is improve Zone% by 8.3%, but they don't.
So let's assume the average fastball I see is 89 MPH. I still have a hard time believing I'd get a hit on one of the slower pitches in that range. If all I saw was the lower bounds of this range over the course of a full season, sure. But that wouldn't be the case. I'd be seeing very few of those lower bounds pitches, not to mention a nice amount of breaking balls to keep me honest. I'm going to stick with 0 hits. I'm going walk rate will probably be somewhere around pitchers' walk rates. Again, my guessing pitches would be abysmal, but if I'm smart, I'd swing as little as possible. Working the count won't be a thing, and I probably won't be able to stick to my 'swing as little as possible' rule as well as I'd like, so 3% seems reasonable. 3% of 600 PA is 18 walks.
That gets me to a .000/.030/.000 slash line. Yeah, that looks about right.
The first thing we have to do to determine my batting runs is calculate my wOBA. Using 2019 numbers, that would be (18walks x.69walk constant +0didn't do anything else )/600PA =.021 wOBA
We then determine wRAA ((.021wOBA -.320lg wOBA )/1.157wOBA Scale )x600PA = -155.2 wRAA
There is a further adjustment based on league, but since I won't be putting myself on any specific team, I don't need to do this part.
-153.8 runs


Well the good news is that I'd only get on base 18 times. Simulating baserunning stats isn't exactly easy. Luckily, I noticed that players' sprint speeds are fairly strongly correlated with their BSR. When I put all the 2019 sprint speeds and BSR into excel, the conversion equation it gives me is (Sprint Speed x 0.0086-0.2348)=BSTimes on Base
Great. So now all there is to figure out is my sprint speed. I asked my wife to clock me running down the block at full speed, but she didn't seem so jazzed about the idea. Well if you want something done, you gotta do it yourself. Before I get into the numbers, bear in mind I was running down a 40 ft driveway with a flip phone in my hand, only gave myself about 5 feet to get to full speed, pressed the button at the starting point, probably started slowing down early, and then pressed it again at the ending point. Science.
I clocked myself at 2.08 seconds. I measured out the distance and it came out to 485 inches. Which is 233.2 in/sec. Convert that to feet, and I was running at 19.4 ft/sec. Which was below Brian McCann's 2019 league minimum speed of 22.2 ft/sec, but not so far off that it would make me think I did something wrong. Good enough for me. So if we plug my 19.4 ft/sec into the equation, we get -0.07 BSR per times on base. I expect to get on base 18 times, so it comes out to a -1.2 BSR for the season.
-155 runs.


Finally, the last step is to convert runs to wins. The 2019 Runs/Win number was 10.296. So if I divide -155 by 10.296 I end up with -15.1 WAR. Yikes. Let's put that in context. According to Fangraphs, I would cancel out any season of any great player if we were on the same team and then some. 1923 Ruth? Gone. 2002 Bonds? We would net -2.4 WAR. 2013 Trout? Not even close. If I were were to replace Edgar Martinez on the 2001 Mariners, the winningest team in modern history, they'd only win 96 games, but hey, we'd still make the playoffs! Same with the 1998 Yankees. And this is the conclusion we should come out with. I would not necessarily ruin the greatest teams of all time. So I deserve a shot.
TL;DR -15.1 WAR, but I deserve a shot.
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