The Baltimore Orioles and Home Runs

Anti-List is the satire and entertainment section of Pitcher List. Enjoy this article as it’s all in good fun.

 

A Simple Question

 

The Baltimore Orioles give up a lot of dingers. To clarify, in this instance, “a lot” means “an ungodly amount that smashes all previous historical context for home runs allowed.” With 94 HR allowed through 46 games (as of May 20) – a rate of 2.04 per game – the Orioles are on pace to allow 331 HR in 2019. This is more than their league-leading 234 HR allowed in 2018 and, incredibly, a massive 73 bombs more than the record-setting 258 allowed by the 2016 Cincinnati Reds.

The rate of 2.04 actually exceeds the rate of home runs hit in the notoriously hitter-friendly Pacific Coast (AAA) and California (A+) leagues and would even place the Orioles second in the Mexican League (which, as near as I can tell, is having its most home run-friendly season ever, as well) behind Rieleros de Aguascalientes. The team plays in a stadium at 6,190 feet above sea level with a similar climate profile as Denver from April to September.

The amount of home runs Baltimore gives up is naturally a topic of conversation among Orioles fans. One such conversation at Camden Chat led to the question, “What would the Orioles’ Pythagorean record be if they gave up a league average number of home runs?”

 

Data and Analysis

 

There are a few steps to answering this question. It does not seem reasonable to assume that every HR not hit is converted into an out. As such, we will need to understand at what rate various plate appearance results occur. Note: BB includes HBP and IBB, as they have the same net impact and Sac includes SH and SF. The following data is from Baseball-Reference. Rates are determined by dividing the number of events by the number of plate appearances.

Runners PA AB R BB H 1B 2B 3B HR Sac
989 880 54 109 247 137 53 3 54 0
1– 364 329 43 34 76 44 14 1 17 0
-2- 153 135 32 19 32 21 4 1 6 0
–3 48 41 20 4 13 6 3 0 4 3
12- 121 105 36 14 23 13 4 0 6 2
1-3 43 37 31 3 12 4 2 0 6 2
-23 37 27 27 7 10 6 3 0 1 5
123 35 25 28 6 6 6 0 0 0 4

Additionally, because these events have different runs scored results than a home run, that will have to be taken into account, too. I have used the following runs scored per event values based on historical data. They are somewhat simplified, but are reasonable expectations for our purposes here.

Runners R/1B R/2B R/3B R/HR R/BB R/Sac
0 0 0 1 0 0
1– 0.01 0.41 0.99 2 0 0
-2- 0.59 0.99 0.99 2 0 0
–3 0.99 0.99 1.00 2 0 1
12- 0.60 1.40 1.98 3 0 0
1-3 1.00 1.40 1.99 3 0 1
-23 1.58 1.98 1.99 3 0 1
123 1.59 2.39 2.98 4 1 1

The next step is to determine the number of adjusted events that would occur if HR were reduced by a certain rate. This is calculated by (for example): ((HR * HR Reduction Rate) * 1B/PA) + 1B. In this example, the Orioles allow 75% as many HR as actual.

Runners adj_1B adj_2B adj_3B adj_HR adj_BB adj_Sac
142.6 55.2 3.1 40.5 113.5 0.0
1– 45.5 14.5 1.0 12.8 35.2 0.0
-2- 21.6 4.1 1.0 4.5 19.6 0.0
–3 6.4 3.2 0.0 3.0 4.3 3.2
12- 13.5 4.1 0.0 4.5 14.5 2.1
1-3 4.4 2.2 0.0 4.5 3.3 2.2
-23 6.1 3.1 0.0 0.8 7.1 5.1
123 6.0 0.0 0.0 0.0 6.0 4.0

By multiplying the number of R/event by the number of adjusted events, a new team Runs Allowed can be calculated or each event and situation. Again, the following table is for a 75% HR rate.

Runners R_adj_1B R_adj_2B R_adj_3B R_adj_HR R_adj_BB R_adj_Sac
0.00 0.00 0.00 40.50 0.00 0.00
1– 0.46 5.94 1.02 25.50 0.00 0.00
-2- 12.71 4.08 1.02 9.00 0.00 0.00
–3 6.31 3.16 0.00 6.00 0.00 3.19
12- 8.06 5.81 0.00 13.50 0.00 0.00
1-3 4.42 3.09 0.00 13.50 0.00 2.21
-23 9.66 6.06 0.00 2.25 0.00 5.10
123 9.53 0.00 0.00 0.00 6.00 4.00

If the Orioles allowed 75% of their actual HR, which would be 70.5 instead of 94, they would have been expected to give up 212.1 runs (RA) instead of 271. With 176 runs scored (RS) on the season, that would translate to a Pythagorean win% of .408 or a 19 – 27 record. That’s not exactly competitive, but certainly an improvement over the Orioles’ actual .326 and 15 – 31 numbers. Here is a look at various reduced HR rates and the impact on the Orioles’ Pythagorean record.

HR 94 94 94 94 94
HR Rate 90% 75% 64% 50% 25%
adj_HR 84.6 70.5 60.0 47.0 23.5
adj_RA 234.8 212.1 195.2 174.2 136.4
RS 176 176 176 176 176
Pyth Win% .360 .408 .449 .505 .625
Pyth Rec 17 – 29 19 – 27 21 – 25 23 – 23 29 – 17

 

Conclusion

 

The Baltimore Orioles, regardless of how many home runs they allow, are not a particularly good team. It would take being historically good at preventing HR for the Orioles to approach first in the AL East, all else being equal. However, if the team could keep balls in the park at even a league average rate, they would be much closer to .500.

It is probably unlikely that the current crop of pitchers in Baltimore will suddenly start reducing the rate at which they give up dingers over the rest of the season, especially with more hot and humid air headed into Camden Yards soon. Dylan Bundy is giving up long balls at exactly the same 2.1 HR/9 rate as he did in 2018. The same is true for Andrew Cashner and his more reasonable 1.5 HR/9 rate. David Hess and Dan Straily are allowing home runs at significantly higher rates than last year or for their careers, so there may be room for improvement there.

To avoid smashing the single season HR allowed record, the Orioles would have to reduce their HR allowed rate from 2.04 to 1.41 per game over the rest of the year. That would put them squarely between Colorado and Philadelphia in terms of HR/G so far. Even if that happens, and it seems unlikely, the Orioles will continue to be one of the worst teams in MLB as the franchise is currently facing a number of issues standing between it and contention.

(Photo by Tony Quinn/Icon Sportswire)

Ryan Fickes

Ryan is the most Marylander Marylander that ever Marylander'd, having been born, raised, educated, worked, and vacationed in Maryland. As an Orioles fan, he knows that all life is suffering and, as such, has dedicated his fandom to developing a variety of insanely complex spreadsheets for tracking fantasy baseball statistics and answering random baseball questions.

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Comments


theKraken

All those broken records are in the juiced ball era. The context of these achievements is unclear, but it certainly isn’t the historic significance that one might think. MLB passed AAA in terms of HR hitting ease a while ago – by the end of the year there will be yet another trash data set – AAA with juiced baseballs. Its all so crazy. I don’t claim to know the rates, but you can see it in the individual players which is the better data IMO. To hit more HR vs better competition is nuts.

As of this moment, the Marlins are getting all of the credit for being historically bad, but BAL isn’t very far behind at all. The end of year standings are going to be pitiful. Its especially bad when you consider that there are so many teams not trying to compete – you have to lose to those teams! Just look a the staffs on some of these teams like BAL, KC, DET – this isn’t baseball as we have ever known it. Expect records to continue to fall. The league is screaming for contraction, yet I am sure they will expand soon – MLB ownership is a gold rush funded by the fans.

Ryan Fickes

The ball is certainly flying out of the park at record rates, as the current league-wide HR/G rate of 1.31 is the highest ever. 2017 sits in 2nd at 1.26 followed by 2000 at 1.17, 2016 at 1.16, and 2018 at 1.15.

However, even when considering the overall increased rate of HR allowed, the Orioles are doing something… historic. Baltimore is currently allowing 58% more HR/G than league average and 63% more per HR/9. Going back to 1998 (the thirty team era), that is by far the highest difference. In 2011, the Orioles gave up 38% more HR/G and 45% more HR/9. In the 21 seasons from 1998 to 2018, the average values for the team leader in HR allowed and the league average was 28% more HR/G and 29% more HR/9.

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