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Use our custom WHIP calculator to figure out you or your favorite pitcher's personal WHIP statistic. This site also has useful information and explanations about how WHIP is calculated and how it is used in baseball.
WHIP (Walks plus Hits per Inning Pitched) is a baseball statistic used to measure a pitcher's effectiveness in preventing batters from reaching base. It is calculated by adding the number of walks and hits allowed by a pitcher and dividing that number by the number of innings pitched. The resulting number represents the average number of walks and hits allowed by the pitcher per inning.
(Number of Walks + Number of Hits) / Number of Innings Pitched
WHIP is important for evaluating pitchers because it provides a simple and effective way to measure a pitcher's ability to prevent batters from reaching base. A low WHIP indicates that a pitcher is effective at getting batters out and limiting the number of runners on base, while a high WHIP indicates that a pitcher is struggling to get batters out and is allowing too many runners on base.
WHIP is often used in conjunction with other statistics, such as earned run average (ERA) and strikeouts per nine innings (K/9), to get a more complete picture of a pitcher's effectiveness. By evaluating a pitcher's WHIP along with other statistics, coaches, scouts, and analysts can make more informed decisions about how to use a pitcher in a game and how to evaluate their overall performance.
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The WHIP statistic was first introduced by baseball statistician and historian Daniel Okrent in the 1980s. Okrent was looking for a simple and effective way to measure a pitcher's effectiveness in preventing batters from reaching base, and he came up with the idea of adding the number of walks and hits allowed by a pitcher and dividing that number by the number of innings pitched. The resulting number became known as WHIP.
Over time, WHIP has become a widely used statistic in baseball, and it is now considered one of the most important metrics for evaluating pitchers. In addition to its simplicity, WHIP is also considered a more accurate measure of a pitcher's effectiveness than other statistics, such as batting average against (BAA) or on-base percentage against (OBPA), because it takes into account both walks and hits.
WHIP has also evolved over time to become more sophisticated. For example, some analysts now use a modified version of WHIP called FIP (Fielding Independent Pitching), which takes into account only the factors that a pitcher can control, such as strikeouts, walks, and home runs, and removes the effects of fielding and luck.
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WHIP (Walks plus Hits per Inning Pitched) is an important statistic for evaluating pitchers because it provides a simple and effective way to measure a pitcher's ability to prevent batters from reaching base. WHIP is calculated by adding the number of walks and hits allowed by a pitcher and dividing that number by the number of innings pitched. The resulting number represents the average number of walks and hits allowed by the pitcher per inning.
WHIP is important because it provides a quick and easy way to evaluate a pitcher's effectiveness at preventing batters from reaching base. A low WHIP indicates that a pitcher is effective at getting batters out and limiting the number of runners on base, while a high WHIP indicates that a pitcher is struggling to get batters out and is allowing too many runners on base.
WHIP can be used in conjunction with other statistics to get a more complete picture of a pitcher's effectiveness. For example, ERA (earned run average) is another important statistic for evaluating pitchers, as it measures the average number of runs that a pitcher allows per nine innings pitched. By looking at both WHIP and ERA, analysts can get a better sense of a pitcher's ability to prevent runs from scoring and keep their team in the game.
In addition to ERA, other statistics that can be used in conjunction with WHIP to evaluate a pitcher's effectiveness include strikeouts per nine innings (K/9), ground ball percentage (GB%), and home runs per fly ball (HR/FB). By looking at a combination of these statistics, analysts can get a more complete picture of a pitcher's strengths and weaknesses and make more informed decisions about how to use them in games.
Overall, WHIP is an important statistic for evaluating pitchers because it provides a simple and effective way to measure a pitcher's ability to prevent batters from reaching base. By using WHIP in conjunction with other statistics, analysts can get a more complete picture of a pitcher's effectiveness and make more informed decisions about how to use them in games.
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While the WHIP statistic is a useful tool for evaluating a pitcher's effectiveness in preventing base runners, it has some limitations that should be considered when using it to evaluate a pitcher's overall performance. Some of the limitations of the WHIP statistic include:
In conclusion, while the WHIP statistic is a useful tool for evaluating a pitcher's effectiveness in preventing base runners, it should be used in conjunction with other metrics and factors when evaluating a pitcher's overall performance and potential value.
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The WHIP (Walks plus Hits per Inning Pitched) statistic is widely used in modern baseball to evaluate pitchers and make decisions about how to use them in games. WHIP provides a simple and effective way to measure a pitcher's ability to prevent batters from reaching base, and it is often used in conjunction with other statistics, such as ERA (earned run average) and K/9 (strikeouts per nine innings), to get a more complete picture of a pitcher's effectiveness.
WHIP has influenced the way pitchers are evaluated and used in modern baseball in several ways. Here are some examples:
Overall, the WHIP statistic has had a significant impact on the way pitchers are evaluated and used in modern baseball. It provides a simple and effective way to measure a pitcher's ability to prevent batters from reaching base, and it is widely used by managers, coaches, scouts, and analysts to make decisions about how to use pitchers in games and how to evaluate their performance.
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The WHIP statistic, which stands for Walks and Hits per Innings Pitched, is a measure of a pitcher's effectiveness in preventing base runners. It is calculated by adding the total number of walks and hits allowed by a pitcher and dividing that number by the total number of innings pitched. This statistic has become increasingly important in contract negotiations for pitchers in the MLB, as teams use it as a key metric to evaluate a pitcher's performance and potential value to the team.
In recent years, the WHIP statistic has had a significant impact on the salaries of pitchers in the MLB. Pitchers with lower WHIPs are generally considered to be more valuable, as they are better at preventing base runners and thus have a better chance of keeping runs off the board. As a result, teams are willing to pay a premium for pitchers with low WHIPs, especially those who are consistent and durable.
For example, in 2019, the highest-paid pitcher in the MLB was Gerrit Cole of the New York Yankees, who signed a nine-year, $324 million contract. Cole had a WHIP of 0.895 in 2019, which was the best in the league, and he had a career WHIP of 1.129 at the time of his signing. This high level of performance made him one of the most sought-after pitchers in the league, and his contract reflected his value.
Overall, the WHIP statistic has become an important tool for teams and agents in contract negotiations for pitchers in the MLB. As the league continues to place a premium on preventing base runners and keeping runs off the board, pitchers with low WHIPs are likely to continue to command high salaries and be in high demand.
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The following is a list of the pitchers with the best WHIP statistics in MLB history. The list includes both active and retired players, and it is sorted by WHIP. It is current as of the end of the 2022 MLB season.
Rank | Name | WHIP | Innings | Hall of Fame? |
---|---|---|---|---|
#1 | Addie Joss | 0.9678 | 2327.0 | Yes |
#2 | Jacob deGrom | 0.9931 | 1356.1 | No |
#3 | Ed Walsh | 0.9996 | 2964.1 | Yes |
#4 | Mariano Rivera | 1.0003 | 1283.2 | Yes |
#5 | Clayton Kershaw | 1.0044 | 2643.1 | No |
#6 | John Ward | 1.0435 | 2469.2 | Yes |
#7 | Chris Sale | 1.0460 | 1733.1 | No |
#8 | Pedro Martinez | 1.0544 | 2827.1 | Yes |
#9 | Christy Mathewson | 1.0581 | 4788.2 | Yes |
#10 | Trevor Hoffman | 1.0584 | 1089.1 | Yes |
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