# Baseball Statistics - Calculating The Game

Baseball Statistics have been kept since the game of baseball began, and with the advent of the computer and increasingly sophisticated technology, there seems to be Nothing which is not kept track of.

Stats are important in measuring a player’s performance and improvement, or non-improvement, which allows a scout or coach the ability to analyze a player’s potential to help the team.

As with many things in MLB the technology has outpaced the ability of the average youth baseball coach to keep equal stats, which are important to the players as far as seeing their strengths and weaknesses, and just plain feeling like a Big Leaguer.

We’re going to teach you, the coach, the methods for figuring and keeping the most basic and important Baseball Statistics, which will help you and your players feel like a big time big league player.

Figuring Earned Run Average - ERA  and Baseball Statistics

All pitchers are critically judged on their ERA, which represents the average number of runs a pitcher allows in a 9 inning period. The Earned portion of the equation refers to runs scored that the pitcher was solely responsible for, such as a Home Run.

Home Run = Earned Run

Runs scored as the result of errors or walks are not included as far as determining the pitcher’s ERA.

For example, if a pitcher allows 3 solo home runs in a game, but because of errors by his team mates, 3 additional runs score, only the 3 home runs are included in figuring the ERA.
The formula for figuring a pitcher’s ERA is Earned Runs / by Innings Pitched x 9.

For example: Your Ace pitcher has allowed 19 earned runs through 89 innings. To find his current ERA:

19 ( number of earned runs) is divided by 89 ( the number of innings pitched) which equals .2135 multiplied by 9 equals 1.92 earned runs per 9 innings. Just under 2 runs per game, which is an excellent ERA.

*** Caution: Do not forget to multiply by 9. Number of earned runs divided by innings pitched gives you the ERA of 1 inning, but an official game is 9 innings. Therefore you must multiply by 9 to achieve the ERA for a game, not an inning.

Example 2: Your best relief pitcher has allowed 66 earned runs in 234.33 innings. Formula = 66 / 234.33 = .281 x 9 = 2.529 round up =  ERA of 2.53.

Walk

Figuring WHIP: W+H=Whip ( Walks + Hits ) and Baseball Statistics

The first item to understand is what constitutes an inning pitched. Innings are divided into thirds, with one out representing 1/3 of an inning. So if a pitcher pitches 6 full innings, then gets 1 out in the 7th inning before being pulled, he pitched 6.33 innings that day.

If the pitcher pitched 6 full innings, then faced 5 hitters in the 7th inning without recording an out in the 7th inning prior to being pulled, the pitcher pitched 6 innings that day.

To calculate a pitcher’s WHIP add the number of walks and hits allowed and divide by the number of innings pitched. The lower the number, the better the pitcher is performing, and Usually a pitcher with a low WHIP score will also have a low ERA.

Example: Pitcher 1 has allowed 34 hits & 14 walks in 23.33 innings.

Formula: 34 (hits) + 14 (walks) = 48 / by 23.33 = 2.06

Example: Pitcher 2 has allowed 46 hits & 22 walks in 24 innings.
Formula: 46 + 22 = 68 / 24 = 2.83

The Whip statistic is not mentioned as much as ERA, Ks or Wins, but it can be a key statistic in foreseeing pending problems. A pitcher may have a record of 9-0, but has a very high WHIP score, which means eventually all the hits and walks he is currently allowing per game will turn into runs allowed.

By the same token the WHIP number can help indicate the true performance of a pitcher. If the pitcher has a 1-6 record, but a very low WHIP score, it indicates the pitcher is performing quite well, but either the team is not providing run support or has a very high fielding error percentage, which is allowing excess Unearned Runs being scored.

Figuring Fielding Percentages:

It’s only human to remember  Fantastic  defensive plays which result from extra effort, but sometimes these few and far between plays mask a player who is actually a poor defensive fielder.

Regular Catch ? No Way - Baseball Statistics

That’s why it’s important, along with other reasons of course, to have a method for analyzing the actual fielding ability of a player. A few terms must be defined before continuing.

A Put Out means the player makes the out by himself, such as catching a fly ball or the second baseman fielding a ground ball and stepping on the base for a force out. The second baseman would be credited with a put out.

An Assist  means you were part of the put out by receiving a throw from another player, such as the shortstop fielding a ground ball and throwing to the second baseman, who steps on second for a force out. The second baseman is credited with an assist.

An Error  which means a player has mishandled a ball which allowed an opponent to reach base safely or advance safely, which would not have occurred had the player fielded the ball correctly.

The formula used to find a player or team’s Fielding Average is:

Number of Assists + Number of Putouts / by Number of Chances

When computing fielding percentage, it’s taken to the 3rd decimal and rounded up or down, and the higher the percentage, the better the fielder is.

Example: During a ball game the player’s performance was:

7 Assists

8 Put Outs

1 Error

Fielding Percentage = Number of Assists + Number of Putouts divided by Number of Chances

Number Of Chances = Number of Assists + Number Of Putouts + Number Of Errors

Number Of Chances = 7 (assists) + 8 (put outs) + 1 (error) = 16

Fielding Percentage = 7+8 / 16

Fielding Percentage = 15 / 16

Fielding Percentage = 0.9375 rounded to .938

Player’s Fielding Percentage = .938

This method of analyzing a fielder must always be tempered with other factors. For instance, one fielder may be much quicker than the other, which will have him involved in more plays, or one player totally disregards his body as he dives or leaps after balls, while another player may not perform quite so enthusiastic. Numbers are good, but common sense is also required.

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Calculating Batting Averages: and Baseball Statistics

Figuring a player’s batting average is easier than you may think.

Formula:  Hits divided by At Bats = Batting Average

Example: A player gets 195 Hits out of 535 times at bat.
195 / 535 = .364% batting average. It’s just that simple.

The only issue which can complicate the formula is, What Constitutes an At Bat?

Plate appearances which result in a  Walk, Hit By Pitch or Sacrifice  does not count as a “At Bat” and is not included in the Batting Average computation.

Extra Bases Hit

Slugging Percentage: and Baseball Statistics

In addition to a player’s batting average, which indicates how well a hitter sees and makes contact with the baseball, is the Slugging Percentage, which reveals a player’s power as a hitter.

The Formula for Slugging Percentage is:

(1B) + (2 X 2B) + (3 X 3B) + (4 X 4B - Home Run) Divided by At Bats.

Or

SLG = Total Bases / Total At Bats

Example: A player has 73 Singles, 36 Doubles, 9 Triples and 54 Home Runs out of  458 times at bat.

(1 X 73) + (2 X 36) + (3 X 9) + (4 X 54) = 388

388 divided by 458 = a .847 Slugging Percentage.

Think that’s impossible? Babe Ruth did it in 1920.

Calculating On-Base Percentage  and Baseball Statistics

On base percentage or on base average is the measurement of how many times a player gets on base by whatever means, hit, walk or hit by pitch as a percentage of his total number of plate appearances.

Many baseball people feel this number is the true number when analyzing how good a player actually is on offense. For instance, a 270% hitter, who also draws 100 walks a year, has an on-base average of 400, while a 310 hitter who draws 20 walks will only have an on-base percentage of 333%.

If you can’t get on base … you can’t score runs … and that’s what it’s all about.

These are only a thimble full of the Baseball Statistics which are being kept, but these are the important ones which will help you and your players analyze their improvement or identify areas which require work.

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