Last time, it was explained about the difference in the pitcher's striking power of Japan and U.S.
I referred a little about the difference in the baseball culture of Japan and U.S. in it.
I'd like to see more by one of data about the point.
The number of plate appearances of the year picked a pitcher of 16 or more than 24 out respectively, and investigated in 1995-2014 of NPB and MLB. *The number of season games of each team is 144(NPB), and 162(MLB) now.
80% of the number of plate appearances of all pitchers is covered by the pitcher picked out in this way.
Create a frequency distribution table in the OPS for these pitchers, it was displayed as a percentage for each class.
FIG.16
Directly, the following three points are understood.
1 The right hem is a long chart NPB and MLB.
2 A mode of OPS is 0.25-0.30 NPB and both of MLB..
3 There is difference from which NPB and MLB stand out in a part in the left end.
While less than 0.25 (OPS) accounts for 44.2% in NPB, it isn't 23.7% in MLB.
(While less than 0.20 (OPS) accounts for 31.1% in NPB, it isn't 13.9% in MLB.)
Blow to the NPB in the pitcher has not been almost expected, actually pitcher and I it can be seen that not running the blow.
The fielder's blow ability besides the pitcher (OPS) was being seen last time, and of course, it was also possible to compare at NPB and MLB about the blow ability of the pitcher.
And I noticed that there is a great difference which is to the extent it was marvellous, there.
First pitcher's OPS of NPB for these 20 years and MLB is indicated.
FIG.12
1. There is a significant difference in pitcher's OPS of NPB and MLB statistically(p value < 0.001). The absolute value of the difference is 0.071
2. Ill-balance is big more than MLB in pitcher's OPS in NPB. While a standard deviation of pitcher's OPS in NPB is 0.035, that of MLB is 0.019.
The difference in the pitcher's blow ability in NPB and MLB may be the one by which the difference in the baseball culture of Japan and U.S.
In consideration of the injury or throw, so as not to actively blow the pitcher is contemplated that the coach's intervention.
On the other hand, such small guidance may be the one which isn't done to a pitcher in the United States.
I, on the assumption the pitcher of NPB (Japan) has demonstrated the striking force of about MLB (America) pitcher, I think to try to calculate the contribution to the score here.
First a plot makes score/G OPS in CL for these 20 years, and a relational expression is calculated.
R/G = OPS×12.554 - 4.919
FIG.13
Something of CL and NL where I have no DH systems is used as data.
There is a difference in 0.072 in pitcher's OPS of pitcher's OPS and NL in CL.
It's shown on the next figure about the contents in detail.
For pinch hitter is issued, pitcher has less number of times that goes to bat compared to fielder.
Considering the fact that, it shows the results of a pitcher of CL (NPB) was replaced with a pitcher of NL (MLB).
FIG.14
When OPS calculates using a relational expression in next to 0.724, OPS and score/G from 0.720, it'll be 6.92 points by 144 games (the number of annual games).
When this difference is converted into the trade a fielder (put with the main focus on an attack) temporarily, it starts to be a figure.
It's equivalent to a trade between OPS=0.744 and the player of OPS=0.777.
The data DH system doesn't seem to be functioning as which like MLB (U.S.A.) in NPB (Japan) last time was indicated. (→last article)
I'd like to see using several data about its cause this time.
First fielder's (besides pitcher) blow results of a league of two, NPB and MLB are indicated (OPS).
FIG.10
Fielder's OPS of AL and NL is similar results mostly in spite of DH system by these 20 years in MLB.
OPS in AL is 0.760, and in NL is 0.763, and its difference is 0.003. There are no statistical differences at all (p value=0.739,1995-2014).
When the player doing entry (or he moves.) in MLB thinks the random percentage is assigned to each league mostly in spite of the ability, this result can be explained easily.
FIG.11
On the other hand, a little different situation is seen in NPB. The difference can be seen in fielder's OPS of CL and PL in NPB until it's significant but isn't statistically.
OPS in in CL is 0.744, and in PL is 0.729, and its difference is 0.015. P value isn't certain in 0.147 as the statistical significant difference, but it can't be ignored with 0.015 as the absolute value.
There is OPS of the fielder of PL who adopts DH system in a thing lower than a fielder of CL for the cause DH system doesn't seem to be functioning as which in NPB.
Low of the striking force of the entire fielder in PL has offset the advantage of DH system.
When I see into this cause by comparison with MLB, I make them imagine that the player joining NPB may not be assigned to each league at random.
This indicates a relation between the score/G of each team and a OPS game from 1995 to 2014.
OPS = On base percentage + Slugging average ( = OBP + SLG ) On base percentage (OBP) = ( H + BB + HP )/( AB + BB + HP + SF ) Slugging average (SLG) = TB / AB H : hit BB : base on balls HP : hit by pitch AB : at bat SF : sacrifice fly TB : total base (1B + 2B×2 + 3B×3 + HR×4) 1B : 1-bese hit 2B : 2-bese hit 3B : 3-bese hit HR : Home run
There are a score/G and correlation most in the easy index in OPS.
OPS in NPB and the coefficient of correlation of the mark from 1995 to 2014 are 0.952, in MLB same piriod are 0.955.
FIG.5
This slide indicates a change in OPS of NPB and MLB from 1995 to 2014.
MLB (=0.749) > NPB (0.723), difference is 0.026, which significant by a probability of 99% statistically (p-value = 0.004, 1995-2014).
Directly, the difference in OPS causes the difference in score/G. Attack > defence in MLB. Defence > attack in NPB.
FIG.6
FIG.7
These two slides show correlation of score/G clearly with OPS.
The score/G and a beautiful relation hang the easy coefficienton OPS, and are drawn by an added thing.
FIG.8
This slides indicate the difference in OPS by DH system of NPB.
PL (=0.727) > CL (0.720), difference is 0.007, which is not also significant statistically by a probability of 90% (P-value=0.499, 1995-2014).
If it's the simple cause that OPS by DH system is impartial, it's considered that there are no score/G differences by DH system.
FIG.9
AL (=0.758) > NL (0.741), difference is 0.018, which significant by a probability of approximately 99% statistically (P-value=0.013, 1995-2014).
It's clear that the cause of this difference is a DH system.
