soul of baseball

Chapter 887
Shen Qin likes to watch analysis and discuss with his teammates, but he prefers to be alone while watching videos.

It is best to be in a dim environment, where a person can fast forward and backward at will, look wherever he wants, and it will not affect others if he likes it.

After watching it for a long time, he discovered a very interesting point. Are those players with low batting averages really not good at playing?

At least that's not the case in the video. They all hit the ball very strongly, but they are unlucky and always fail to get out because they get into the formation.

I wrote down the names of the players in the notebook at hand. After reading the collection, I went to the Internet to check the names of the teams and players, and sure enough!These players who can play well but don't know why they suddenly can't play well this season have a lot of hits. They are still solid starters, although they look a bit horrible.

The pull rate is arranged from high to low~
The names that I recorded by myself are all at the top.
.
The lineup is originally aimed at pull-type hitters, let alone those whose ratio is more than half.

Yuri has always been outstanding in this aspect, and he often ranks among the top hitters with similar batting numbers. It wasn't until these years that he gradually developed his ability to push and hit.

So Shen Qin really knows something about this area.Once the pull-type hitters are targeted by the formation, it will be really troublesome.

It's just that the college-level competitions are not as easy to find and record as the major leagues. A bunch of them here are not published at all, and the test is more about the ability to report.

It's just that the match between the two teams came too suddenly due to the suspension of the other team, so the data collected was insufficient.

For now, these are still provided by the scouting department of Honey Panda, which started operation a year earlier, otherwise the various "little resources" on UMBC's side will be abused in vain by Yazhou.

It's a pity that the data about BABIP cannot be seen, otherwise we can make a better judgment.

Which players can't play well because they have been deployed and have bad luck?Naturally, there are also a bunch of players who play well because of luck in various aspects.

The data is so interesting, no wonder Pan Yuan never tired of drilling in it.

Shen Qin sorted out a resident starting lineup of ASU players, and found that this team is very interesting, and their core is very clear.

This is a play line built around Vituga.

Vituga's permanent third bat, the first two bats are not fast legs.The first bat is a fast leg, the second bat is a strong bat, the stats of the fourth and fifth bats are also beautiful and outrageous, all of this is to protect the third bat Vituga, so that the pitcher can't face him. Avoid, so that only a head-on confrontation can be carried out.

This is also an important factor in Vituga's low walk rate for several seasons.

How do you match the ball in the face of such a line?
Vituga~
This guy would definitely sign a contract under normal circumstances, so he went to the rookie team that is being rebuilt, and his speed in the major leagues will not be too slow. I might see him often in the future.After all, although the Sugar Pandas and the Baltimore Orioles are in different divisions, they are still in the American League division, and they can play against each other several times a year.

……

By the way, let’s talk about how to look at the data, because there will be a lot of space to talk about this later, after all, it is the modern baseball of data flow.

1: BABIP is what I said before about the luck of the hitters. This data can basically exclude luck.

BABIP is basically a measure of the hitter's chances of making a hit when he hits the ball.Putting aside the 'luck' factors that can affect such as defense and formation.The pellet stats department loves this.So some players are still left in the big list even if their statistics are bad.

2: banjo hitter suicide stick!Made for catchers!Suicide stick catchers have been around since the late 20th century.This type of catcher's hitting ability is so poor that basically neither fans nor the team have hope.

But on the contrary, this type of catcher has a good defensive ability~ (I personally question the accuracy of this data.)
3: BB% walk rate, combined with ground ball rate, strikeout rate, and home run rate, forms the comprehensive statistical data of pitchers necessary for analysts.Can put aside the influence of the team on the pitcher to more accurately analyze individual ability. (Like fielding, wins, etc.)
4: beanball chicken pitcher.The rookies here mainly say that their psychology is too sensitive.If the batter runs a little slower, looks too much, or lifts the bat at arm's length, it will make them uncomfortable~ Then! boom~ touch the ball.

5: Bunting strikes to steal chicken~
6: Mr. clutch key.Refer to freese, which is the expression of coping ability at that time. (This example is due to the author's shameless personal emotions. Thank you.)
7: WAR It is easier to understand the number of wins directly measured by salary.Players who can bring 1 extra win are worth about $600-800 million, so get out the counter and start counting.

8: defensive efficiency The defense rate of different teams for the ball being hit.

9: FB% fly ball rate, applicable to both pitchers and hitters.This data is very interesting, it is clear and clear what kind of gun the shooter is.

10: DRS defensive contribution value, advanced defensive data, and defensive zone (UZR) can accurately measure the player's defensive range and ability.

This data is affected by the number of samples, and it will be better to accumulate and eat after N years.

11: FIP This pitching data does not consider fielding, so it is of little significance, but many fans like to play this, which has an element of luck, but the team will also use this to consider the possibility of future development of pitchers.

12: HR% is a simple and intuitive home run rate. The interesting thing about this data is that the team measures whether he is important.If a pitcher is bombarded with two good shots every game, but can win every game.Then another pitcher gives up two runs a game and gets five or six hits, what do you guys do?Which one to keep?
13: ISO absolute upswing rate, upswing rate-hitting rate, which can intuitively measure the batter's long-hitting ability.After all, Jing Mimi has a lot of first base hits, so it should be good to leave this aside.Just like some players run very slowly, but also hit a lot of doubles. (Yes, I'm just complaining)

14: K% strikeout rate.As we all know, the major leagues have a lot of strikeout machines, and this kind of peripheral data looks very cool.But the author really dislikes those fans who take a small sample to watch.Everyone likes to brag about their favorite players, but if you take a month or two of performance to blabla...others only compare it after looking at it for more than ten years. (After all, Tiger fans will not brag about Tiger King in 06~)

15: LD% level to flight ratio!Comparing the ground ball ratio and the fly ball ratio, you can intuitively judge the hitting skills of the hitter.

16: The thing that OPS fans talk about the most. Many fans think that this can intuitively see how the players are performing.Then I personally feel that in terms of contribution, this is useless.

(End of this chapter)