Okay, so if you followed my series on the Homogeneous model, you know that we already have the expected values of runs for the perfectly balanced lineup. What about a ‘perfectly imbalanced’ lineup? On problems like this, I like starting at the extremes and working my way towards the middle and more normal considerations. Okay, so the easiest thing on this side is to have players who have OBPs of 1 or 0. With 8 guys who have an OBP of 1 (one guy who’s at 0), we cycle through the lineup 3 times every inning, and have 24 successes every inning and cycle through the lineup every inning as well. If all these guys walk, that means 21 runs. Seven guys with OBP of 1 and two with OBP 0 gets you a cycle over two innings – all the way through the order twice in the first inning, and only once in the second inning. We get a two cycle inning, with 21 successes per cycle, 10.5 per inning; all walks yields 15 runs a cycle, or 7.5 per inning. If we continue, we get the following chart:
# OBP 1 guys
|
Innings/Cycle
|
Successes/Cycle
|
Successes/inning
|
Runs/Cycle
|
Runs/Inning
|
8
|
1
|
24
|
24
|
21
|
21
|
7
|
2
|
21
|
10.5
|
15
|
7.5
|
6
|
1
|
6
|
6
|
3
|
3
|
5
|
4
|
15
|
3.75
|
6
|
1.5
|
4
|
5
|
12
|
2.4
|
3
|
0.6
|
3
|
2
|
3
|
1.5
|
0
|
0
|
2
|
7
|
6
|
.857
|
0
|
0
|
1
|
8
|
3
|
.375
|
0
|
0
|
0
|
3
|
0
|
0
|
0
|
0
|
And if we compare to the number of runs we score from walking in a totally homogeneous environment, we see this:
# OBP 1 guys
|
Equivalent OBP
|
R/Inn (Homogeneous)
|
R/Inn (Stacked)
|
8
|
.889
|
21.018
|
21
|
7
|
.778
|
7.624
|
7.5
|
6
|
.667
|
3.358
|
3
|
5
|
.556
|
1.469
|
1.5
|
4
|
.444
|
0.575
|
0.6
|
3
|
.333
|
0.179
|
0
|
2
|
.222
|
0.035
|
0
|
1
|
.111
|
0.002
|
0
|
0
|
0
|
0
|
0
|
# OBP 1 guys
|
Successes
|
Successes/inning
|
Runs/Inning
|
8
|
216
|
24
|
21
|
7
|
98
|
10.88888888888
|
7.5
|
6
|
54
|
6
|
3
|
5
|
35
|
3.888888888888
|
1.5
|
4
|
24
|
2.666666666666
|
0.6
|
3
|
15
|
1.666666666666
|
0
|
2
|
8
|
.8888888888888
|
0
|
1
|
4
|
.4444444444444
|
0
|
0
|
0
|
0
|
0
|
# OBP 1 guys
|
Equivalent OBP
|
R/Inn (Homogeneous)
|
R/Inn (Stacked)
|
R/Inn (Stacked, Adj.)
|
8
|
.889
|
21.018
|
21
|
21
|
7
|
.778
|
7.624
|
7.5
|
7.778
|
6
|
.667
|
3.358
|
3
|
3
|
5
|
.556
|
1.469
|
1.5
|
1.556
|
4
|
.444
|
0.575
|
0.6
|
.667
|
3
|
.333
|
0.179
|
0
|
0
|
2
|
.222
|
0.035
|
0
|
0
|
1
|
.111
|
0.002
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
Clearly, we still have a long way to go before we get data that’s of much use. First of all, we have to overcome using only walks. That’s not too hard. We just need to come up with the distributions of successes for the final three successes in any given inning – since we have a stacked lineup, the last three guys in our stack. But ok, making specific calculations here is sort of pointless. Still, before we switch off this method, I think it’s somewhat instructive to look at for the opposite end of the spectrum from walks– every success is a home run. In this case, we get the following chart:
# OBP 1 guys
|
Equivalent OBP
|
R/Inn (Homogeneous)
|
R/Inn (Stacked)
|
R/Inn (Stacked, Adj.)
|
8
|
.889
|
24
|
24
|
24
|
7
|
.778
|
10.5
|
10.5
|
10.889
|
6
|
.667
|
6
|
6
|
6
|
5
|
.556
|
3.75
|
3.75
|
3.889
|
4
|
.444
|
2.4
|
2.4
|
2.667
|
3
|
.333
|
1.5
|
1.5
|
1.667
|
2
|
.222
|
.857
|
.857
|
.889
|
1
|
.111
|
.375
|
.375
|
.444
|
0
|
0
|
0
|
0
|
0
|
As we can see, the ONLY benefits of hitting someone up in the order when all you’re doing is hitting home runs come from those people coming up to bat more often. But this still doesn’t address the larger problem with this approach – it tells us very little when we have more realistic lineups, where every batter has an OBP between 0 and 1 rather than at the extreme.
It’s time for conclusions, and there aren’t many of them that are great, because it’s such a wacky, sideways (but, I think, fun) way of looking at things. But there’s some stuff we can gleam, and here they are:
- It makes pretty little difference where your OBP and SLG points are distributed, as long as they’re in the lineup somewhere
- There are two major reasons why stacking your lineup can be good – inter-batter synergy (i.e. you want your good hitters to have somebody to drive in), and earlier guys in the order come up more often than later guys
- In the extreme, all-power case, synergy is irrelevant; it’s most relevant when more of your offense comes from OBP
- You want your OBP to be spread out at least somewhat, because for it to produce a run at all, you need to string 3 or 4 successes together in a row
As for the question of lineup construction, it’s probably better to have an unbalanced lineup than a balanced one, to the extent that you can get it. Once again, though, a fuller analysis will require a different method of looking at things. Watch for it here soon!
Edit 2: On the site's suggestions, I switched to the 'new interface' which seems to work fine, at least for the tables and bulleting. We'll see about the other stuff when I do the next post, soon.
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