Content

• Steps
• Method 1 of 2: Statistics of serves in the points table
• Method 2 of 2: WHIP - Number of Waxes and Hits per Serve Completed

Baseball fans and analysts use statistics as their primary way of evaluating players. While traditional statisticians are still in greatest demand today, new statistical analysis techniques are incredibly effective in examining records and predicting player achievement. By learning to understand baseball statistics, fans can classify players into imaginary ranks, or simply expand their understanding and increase their interest in the game.

Steps

1. 1 Let's examine the standard score table. This table gives a statistical idea of ​​how the players performed in certain games, you can find this data in the Sports section of the newspaper or on the sports website. Standard lists of tables with scores are displayed in the form of tables, 4 statistics of attacks and 6 categories of ball service.
2. 2 Let's look at the composition of the team. The entire roster is presented in the offense column, or serve in the scorecard. Players are listed in the order in which they will serve from the position they were in during the game following their names. The substitutes' names are listed separately from the main players and are listed below in the list. The four categories noted in the attack table are:
   • AB: exit to beat
   • R: points for runs
   • H: hit on the beat
   • RBI: Race Battad In
3. 3 Let's study the player's movement around the field and information about the serves on the attack table in more detail. Personal achievements are highlighted in this section. For example, if a player named Smith made his sixth home run of the season, the leaderboard would say HR: Smith (6). Other statistical categories in this section of the scorecard include:
   • E: Errors, LOB: Found Down (Command Statistics), and DP: Double Feed (Command Statistics).
   • 2B: the ball goes over 2 bases, 3B: over 3 bases, and HR: home runs (all season).
   • SB: Stolen Bases, SF: SECRIFICE FLIES, and S: SECRIFICE.

Method 1 of 2: Statistics of serves in the points table

1. 1 Let's look at the statistics of feeds. The servers are recorded in the order in which they will enter the field. If the pitcher decides in the course of the game - victory, defeat or safety - all this will be shown on the scoreboard opposite his name: W, L or S. Such a symbol is accompanied by his current records of victories and defeats or the number of rescues to date. There are 6 categories indicated in the table of feeds, such as:
   • IP: Serving Queue: This can be a decimal value or 0.1 or 0.2, which is part of the entire half. For example, the first server completes 6 full innings and takes the batter off the field to 7th. Then his IP indicator will be 6.1.
   • H: heats elaud
   • R: rans elaud
   • ER: Ernd Rans Elaud
   • BB: vox elaud
   • K: strikeout
2. 2 In-depth analysis of the facts about feeds. Below the pitch table is a list of additional pitch statistics.This data may include:
   • WP: wild pitches, BK: misses, HBP: hitters, and PB: conceded goals (match statistics).
3. 3 Let's study seasonal statistics. Such statistics include all the categories listed in the player points table, as well as many other important data. The most notable of these are:
   • OBP: To figure out a player's base percentage, or OBP, add up his hits, walks, and service hits, and divide that total by the combination of all his hits, walks, service hits, and safety flies. (H + BB + HBP / AB + BB + HBP + SF)
   • Slg .: In order to find out the percentage of a player's slug, divide the sum of his base achievements by the sum of the hits to the beat. The sum of the bases is the sum of the player's home runs x 4, triples x 3, doubles x 2, and a single.
   • Avg .: Divide the number of strokes by the number of times the player hits the bat to calculate the average, which is the average number of times the player serves.
   • ERA: Average Ernd Runs, or ERA, shows how many runs a pitcher misses in an average of 9 innings. You can calculate the ERA in the following way: divide the ernd of the pitching pitchers' run, and multiply that quotient by 9.
4. 4 Explore other statistical applications. Over the past decades, many different methods of statistical analysis in baseball have emerged. Only a few, namely Sabermetrix, have revolutionized the very process of evaluating baseball talent. While many of Sabermetrix's installations have gained widespread acceptance among fans and analysts, the two below have distinguished themselves.
   • OPS: Based + Slugging. Bill James, creator of Sabermetrix, was looking for simple, defining statistics that would measure a player's ability to score points for a team. After compiling the OPS numbers based on hundreds of players' play over the years, the player's value project was finally validated as effective for his team. The Major League average OPS is 0.728. For a superstar, this value is 0.900.
   • Pitch Analysis: After performing various complex calculations, Sabermetix has developed innovative methods for testing pitchers. Nomenclatures are as unusual as their formulas, BABIP, dERA and DIPS measure the productivity of innings, excluding the luck factor and established defenses, including the so-called stadium effect.

Method 2 of 2: WHIP - Number of Waxes and Hits per Serve Completed

This figure gives an idea of ​​how many times a pitcher will be able to reach base per inning. Many statisticians believe that this formula gives a better idea of ​​how to prepare a pitch check than an ERA.

1. 1 Add walks and hits delivered by the pitcher during his absence from the field.
2. 2 Divide the total by the total number of innings. For example:
   • Kershau has no walks and relies on each hit for 7 innings, 1/7 = 0.143 WHIP. If that hit ends up being a home run, his ERA will be 1.28. Otherwise, his ERA will be 0.00, which will not clarify what happened. To make the difference more clear, let's say he ran 3 walks and 4 hits, but not a single wound. His ERA is still 0.00, but now his WHIP has jumped all the way to 1.00. So you might think that he got away with unnecessary trouble, or that he was lucky and did not heal all the wounds.