**When Calculating Era In Baseball Why Do You Have To Multiply The Earned Runs Innings By 9** – ERA stands for Earned Run Average. This is one of the most important statistics that coaches, players or fans can use to gauge how well a pitcher is doing during the season. While it’s not the end all be all of cooking effectiveness, it does paint a solid picture.

ERA is one of the three primary statistics in calculating the major league triple crown, the other two being wins and strikeouts. This tells you that this is one of the most important pitching stats to calculate.

## When Calculating Era In Baseball Why Do You Have To Multiply The Earned Runs Innings By 9

The primary goal of any pitcher is to prevent runs from scoring, as this improves your team’s ability to win as many games as possible. How do you calculate ERA?

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The calculation is simple in ERA. Take the number of innings pitched (9 in pro ball, 7 in youth and amateur ball) times the earned runs the pitcher gives up, divided by the number of innings pitched during the game.

For example, if an MLB pitcher pitches 7 innings and gives up 2 earned runs, his ERA for that game will be 2.57. Use this simple ERA calculator to find a pitcher’s earned run average. Can anything affect ERA?

The reason I said you can’t rely on ERA as a definitive pitching stat is because there are so many different things that can affect its calculation.

ERA specifically calculates a pitcher’s earned runs, but as fans know, pitchers also give up unearned runs that don’t count in this calculation. Runs scored due to defensive errors will not count toward the pitcher’s final ERA.

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Defensive ability is a big factor in a pitcher’s final earned run average. A team with great defense will get more outs, turn more double plays and hit balls into space. This means there will be fewer inherent base runners to score.

Teams with bad defense won’t hit the same balls or score as many defensive runs, which will give your pitcher ERA, even if it doesn’t help that their defense isn’t as good as the other team’s.

Defense is a big reason why stat geeks look at advanced stats to measure how well a pitcher is doing, such as xERA, FIP, and xFIP. Who invented the ERA?

According to mlb.com, the invention of the ERA can be credited to late 19th century statistician and author Henry Chadwick. “His thinking was that a win-loss record didn’t go far enough to determine the mark of a good pitcher. The statistics continued into the 20th century, when relief pitchers became more common. Spring finally arrived, which for students and teachers.signals the final weeks of the school year as well as the start of the new Major League Baseball season.

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Of course, baseball, more than any other sport, is full of statistics. Even the casual fan understands the concepts of batting average, fielding percentage, and earned run average. Analysis of this data is used to evaluate player performance and has a major impact on rankings, contracts and awards.

Math teachers can capitalize on their students’ excitement for the new baseball season by teaching baseball-related math concepts like mean, probability, and sample size and popular statistics that apply to pitchers and hitters.

In fact, some MLB teams have put this idea into practice in baseball math and science summer camp programs for local students.

Fortunately, you don’t need to sign up for sponsored programs to share the benefits of learning math in a baseball context. Below is a guided step through activity, which can be done in the classroom or at home, that gives students the opportunity to calculate and analyze the most popular performance statistics of their favorite baseball players.

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The next section will walk you through a baseball statistical analysis activity. You can download the corresponding free PDF guide by clicking here.

For this activity, you will need to visit ESPN.com, where you can access the statistical profiles of the professional players (former or current) that you choose to analyze. You must select a hitter and a pitcher and you can access their profiles using the search function on the ESPN website.

From a player’s profile page, click on the STATISTICS tab to access their career performance data.

For this example, we will use Bryce Harper of the Washington Nationals as our hitter and Noah Syndergaard of the New York Mets as our pitcher.

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*Please note that all post statistics are available as of 04/21/2016. Any changes in data are due to games played after the publication date.

Once you have your player’s performance data in hand, you can calculate the following performance statistics:

Slug Percentage (SLG): Measures a hitter’s power based on total bases. For example, a triple would be three times more than a single.

Note that all these figures are based on locations spanning three decades. A player with an AVG of 300 is considered to have a batting average of three hundred.

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Now you are ready to do your calculations using the following formulas.

We’ll start by calculating Bryce Harper’s career batting average. To find this offensive stat, you’ll look at his career stats, which are compiled in the TOTAL row below the stats table in his player profile.

To find Bryce Harper’s career batting average, you have to divide his 544 career hits by his 1879 career hits.

And since batting averages are reported to three decimal places, you can confirm that his career AVG is .290. This stat tells us that Harper has 290 hits per 1,000 at-bats, or 29 hits per 100 at-bats, or 14.5 hits per 50 at-bats, etc.

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Isn’t it funny? hold on To find TB, you need to know the total number of singles, doubles, triples, and home runs he hit. From his profile, you can see that he has 102 doubles, 15 triples and 104 home runs, for a total of 221 extra hits.

To find the number of singles, subtract the number of extra hits (221) from the total of 544 hits to get 323.

Now you are ready to calculate the numerator of the formula. Remember that singles (1B) count only once, doubles (2B) count twice, triples (3B) count three times, and home runs (HR) count four times.

Finally, 988 total bases split between 1879 career at bats, for a .526 slugging percentage!

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In comparison, where does Bryce Harper’s slugging percentage rank against the likes of Dexter Fowler of the Chicago Cubs, Josh Donaldson of the Toronto Blue Jays and David Ortiz of the Boston Red Sox?

You will now be taken to your watch’s profile page. Pitchers play a unique position and have their own performance statistics, two of which you will learn how to calculate:

– Earned Run Average (ERA): The average number of earned runs scored against a pitcher for every nine innings pitched. An ERA of 3.00 would mean that, on average, a pitcher allows three runs per nine innings pitched.

-Walks Plus Hits Per Inning (WHIP): This indicates how difficult it is for a hitter to reach base against a pitcher. The lower a pitcher’s WHIP, the harder it is to get on base against him.

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Now we are ready to do our calculations with the help of the following formulas.

You will also need to check your pitcher’s statistical profile. I chose to analyze Noah Syndergaard of the New York Mets.

To find Syndergaard’s career ERA, you divide his earned runs (ER) by his innings pitched (IP) and then multiply that quotient by 9:

In comparison, where does Noah Syndergaard’s 2.96 ERA rank among pitchers Felix Hernandez of the Seattle Mariners, Clayton Kershaw of the Los Angeles Dodgers and Dillon Bettins of the New York Yankees?

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Finally, we can calculate Syndergaard’s WHIP by first adding up his total walks (BB) and hits allowed (H) and then dividing the sum by the total innings pitched (IP):

You can conclude that Syndergaard has a WHIP of about 1.04, which means, on average, he allows a batter to reach base.

Teaching math in the context of sports statistics is a great way to engage students and expose them to the real world.

Be sure to download the free lesson guide that comes with this activity and let me know which players you chose in the comments below.

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Anthony is the content creator and lead teacher at MashUp Math. You can often find me developing animated math lessons to share on my YouTube channel. Or spending a lot of time at the gym or playing on my phone. Earned Run Average (ERA) is one of the many statistics in baseball that help measure the effectiveness of pitchers. Along with Victories (W) and Strikeouts (SO), ERA is the most widely used