Is offensive consistency better?
We've heard about how inconsistent the Yankee offense is, but is it true? They went from scoring 15 runs against one of the best pitchers in baseball to scoring seven runs in three games against the god-awful Nationals.
Using Standard Deviation, I studied the offensive consistency of AL teams. The lower the STDEV, the more consistent the scoring is.
Through Sunday, June 21 -
From most consistent to least consistent
M's: 2.63
A's: 2.66
Angels: 2.82
Royals: 2.88
O's: 2.93
Yankees: 3.14
Red Sox: 3.20
Rangers: 3.24
White Sox: 3.35
Jays: 3.43
Tigers: 3.49
Rays: 3.68
Twins: 3.70
Indians: 3.74
As you can see, the better offensive teams are grouped toward the bottom, but does this correlate with actual runs scored?
Overall runs/game:
1. Rays (5.59)
Yanks
Red Sox
Indians
Jays
Angels
7. Rangers (4.91)
Tigers
Twins
O's
A's
White Sox
Royals
14. M's (3.78)
So while Seattle has the most consistent offense, it doesn't help them score. Conversely, Cleveland has the least consistent, yet one of the highest-scoring offenses.
Unfortunately, Standard Deviation doesn't tell the whole story. Because while Seattle or Chicago score consistently, it's often low (usually 1-5 runs), whereas teams like Cleveland or Tampa also have those stretches, but then they'll put up nine, 11, 15, even 22 on occasion, which throws their consistency off; but those high-run games are (needless to say) more valuable than low-run games.
What might be more helpful is scoring 5-6 runs consistently rather than 2 one day and 10 the next.
Stay tuned for Part II in the coming days.
(Couldn't be done without BRef and MS Excel)
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this is a good idea and worth trying to measure
i don’t think SD is the way to go- we need binned histograms showing number of times in a row that the team scored 3, 4, 5, or 6 runs or more. Then we can compare the distributions.
the key question is how consistently the team scored more than lets say 4-5 runs every time. That team is going to dominate. Standard deviation won’t tell you that.
Here you go...
3 or fewer runs: 19 times
4 or 5 runs: 23 times
6+ runs: 26 times
by New York Sports Jerk on Jun 22, 2009 1:58 PM EDT up reply actions
Interesting
post. Just some points:
a)SD is only a good measure of variability if the distribution under question is Gaussian. Runs scored cannot be gaussian since it can only take on positive values. However it may approximate Gaussian near the center. It would be good to look at the full distribution.
b)It would be interesting to look at “consistency” vis deviation from expected runs score via Pythag.
I would rather
Score 5 runs a game in a 3 game series than 13 runs in one game and 1 a piece the other two. Wouldn’t that average to be the same? 5 runs per game on paper? But the first example probably would give you a better winning % over a longer period than the latter.
by HappyLuckyGoldenDragonNumber1! on Jun 22, 2009 2:16 PM EDT reply actions
Hitting
I feel as if our team always starts slow and we always have that late 8th and 9th inning push but end up losing. I think its time for a change Girardi
A win only counts as 1 win
and a loss as 1 loss, regardless of the margin of victory. Sure it’s more encouraging if you see your team has the firepower to post big innings and big game totals but it’s really immaterial. When the Indians beat us 22-4 the W-L column the next day looked the same as if it were 5-4. I’d like to see the statistics on STDEV from series to series on BA w/ RISP. I feel like the Yankees bat .750 with RISP one series and then .050 the next.
by ScottBrosiusWSMVP on Jun 22, 2009 3:52 PM EDT reply actions
BTW
Consistency in pitching and defense is also equally important…not just hitting.
consistency in BOTH
at the SAME TIME is what causes gigantic win streaks.
by FreeBradshaw on Jun 24, 2009 8:59 AM EDT up reply actions

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