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Below is a table called the "run expectancy matrix" or some call it "baseball's 24 states". This data tells us the average runs that are scored for a certain situation. In other words with a runner on first and second and no outs, the MLB average runs scored was 1.43.
Base Runners
|
0 outs
|
1 outs
|
2 outs
|
Empty
|
.48
|
.258
|
.096
|
1st
|
.85
|
.502
|
.217
|
2nd
|
1,06
|
.649
|
.313
|
3rd
|
1.31
|
.899
|
.354
|
1st_2nd
|
1.43
|
.893
|
.434
|
1st_3rd
|
1.68
|
1.14
|
.475
|
2nd_3rd
|
1,89
|
1.29
|
.571
|
Loaded
|
2.26
|
1.53
|
.592
|
source - Baseball Prospectus
Take a closer look at the table. Was the sac-bunt really worth it? The data says "No" with a capital "N". The average runs scored with a runner on first and no outs is .85. The average runs scored with one out and a runner on second - .65.
As the great Earl Weaver once said - "Your most precious possessions on offense are your twenty-seven outs"
As the great Earl Weaver once said - "Your most precious possessions on offense are your twenty-seven outs"
So that's it then. The sac bunt is the stupidest thing since antenna balls. OK, before you go throwing empty beer cans at the TV and cursing the manager, let's look at numbers and how they can sometimes slightly fabricate. Then we'll talk about context.
As we all have heard - numbers can lie. The numbers in the matrix are an average, and they are just that - an average. Take an average of three test scores - 100, 75 and 40, the average being ~71. This student has a 71 average yet he was highly successful one time. He may have studied extra hard for that 100 or the material was easy for him to digest. In any case, that's how we need to look at those numbers in the matrix. There are certain times in which the mix of runners and batter will be the perfect storm to get a run via the sac bunt. There is also the situation where a pitcher is at bat. With a runner on first, less than two outs and a pitcher at bat, a big inning looks bleak and the best play is the sac bunt. If this "perfect storm" occurs in a low-scoring close game - the sac bunt may also be necessary. That's the context I was talking about.
To quote Coach Weaver again - "If you play for one run, that's all you'll get"
So there you have it. When your watching a game and you're thinking - "a sac would be good here", it may not be the case and the manager knows the numbers, and the context.
In the future I'll do an entry on the sac bunt in more detail.
Thanks for reading
-Tom
As we all have heard - numbers can lie. The numbers in the matrix are an average, and they are just that - an average. Take an average of three test scores - 100, 75 and 40, the average being ~71. This student has a 71 average yet he was highly successful one time. He may have studied extra hard for that 100 or the material was easy for him to digest. In any case, that's how we need to look at those numbers in the matrix. There are certain times in which the mix of runners and batter will be the perfect storm to get a run via the sac bunt. There is also the situation where a pitcher is at bat. With a runner on first, less than two outs and a pitcher at bat, a big inning looks bleak and the best play is the sac bunt. If this "perfect storm" occurs in a low-scoring close game - the sac bunt may also be necessary. That's the context I was talking about.
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So there you have it. When your watching a game and you're thinking - "a sac would be good here", it may not be the case and the manager knows the numbers, and the context.
In the future I'll do an entry on the sac bunt in more detail.
Thanks for reading
-Tom
Generally I agree the sac bunt is a poor percentage play. As you said it's all about context - and who's batting after the dude who lays down the sac bunt.
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