| Data Set/Description |
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All MLB Salaries (1985-2015)
This data has all MLB player salaries between 1985-2015 including the team played for, the city, and a unique ID for each player. Total this includes 25,575 salaries for 4,963 different baseball players.
The player ID is the first 5 letters from the last name, followed by the first two letters from the first name, followed by a number in case of duplicate names. For example, bondsba01 stands for Barry Bonds with "01" because he's the first with the "bondsba" name ID. | statcrunch_featured | Jun 27, 2017 | 1MB | 681 |
2014 MLB Top 100 Batters
This data came from ESPN.com and has the top 100 batters by WAR (wins above replacement).
AB: At bats
R: Runs
H: Hits
2B: Doubles
3B: Triples
RBI: Runs batted in
SB: Stolen Bases
BB: Walks
SO: Strikeouts
AVG: Batting average
OBP: On Base Percentage
SLG: Slugging Percentage
OPS: OBP + SLG
WAR: Wins Above Replacement | statcrunch_featured | Apr 3, 2017 | 9KB | 193 |
Major League Players Elected to Hall of Fame as Players
Includes 2017 inductees Jeff Bagwell, Tim Raines, and Ivan Rodriguez. 31 variables for each player. Team=primary team; BBWAA=Baseball Writers Association of America; Bat: R=right, L=left, B=both;
WAR=Wins Against Replacement: number of wins the player added to the team above what an "average" replacement player would add.
CS=caught stealing.
OPS=On-base Plus Slugging; as a rule of thumb, a "good" OPS is a value that when divided by 3 results in a value that would be considered a "good" batting average.
Other variables are hopefully self-explanatory. | treiland | Jun 5, 2017 | 34KB | 2889 |
2014 MLB Top 100 Batters
This data came from ESPN.com and has the top 100 batters by WAR (wins above replacement).
AB: At bats
R: Runs
H: Hits
2B: Doubles
3B: Triples
RBI: Runs batted in
SB: Stolen Bases
BB: Walks
SO: Strikeouts
AVG: Batting average
OBP: On Base Percentage
SLG: Slugging Percentage
OPS: OBP + SLG
WAR: Wins Above Replacement | ntorno8 | Apr 6, 2015 | 9KB | 1237 |
Baseball2013.xlsx
Stats from the major league baseball teams for 2013. The last column I added denotes AL for American League and NL for National League. One could possibly conduct a two-sample means test, for example, to find out whether the average runs for the two leagues are equal. Or there are of course lots of regressions one could run. | eykolo@stat.tamu.edu | Nov 4, 2013 | 3KB | 1749 |
MLB Home Attendance vs. Runs Scored 2015
This data comes from the 2015 baseball season and tracks the number of home games, the total attendance at home games, the number of runs scored by that team, the runs scored on that team, the league they play in, and the number of wins the team recorded in the regular season. | frompearsonbooks | Jun 14, 2016 | 1KB | 1142 |
All MLB Salaries (1985-2015)
This data has all MLB player salaries between 1985-2015 including the team played for, the city, and a unique ID for each player. Total this includes 25,575 salaries for 4,963 different baseball players.
The player ID is the first 5 letters from the last name, followed by the first two letters from the first name, followed by a number in case of duplicate names. For example, bondsba01 stands for Barry Bonds with "01" because he's the first with the "bondsba" name ID. | statcrunchhelp | Mar 15, 2016 | 1MB | 1064 |
Home Runs and Strike Outs for 2004 Boston Red Sox by Handedness
These data show home runs and strike outs for the 12 players from the Boston Red Sox who had more than 200 at-bats in the 2004 season (the first year they won the World Series after the 86-year Curse of the Bambino). It also shows whether the players bat left-handed or as switch hitters, both of which are coded as 0/1 (No/Yes, respectively) indicator variables (also known as dummy variables), as well as a text L/R/LR variable. These data were used for a demonstration for bivariate and multiple regression. | bartonpoulson | Nov 3, 2009 | 375B | 1066 |
2015 MLB Team Data
Team stats for MLB 2015 in early October; includes team opening salary, wins, losses, pitching, batting, fielding stats, playoff appearance, world series wins/losses (does not include 2015 WS winner) | je175 | Jul 25, 2016 | 8KB | 952 |
nlbatting2009.txt
This dataset contains batting statistics for all National League teams in the 2009 baseball season. The goal of batting is to score runs and the dataset contains the number of runs scored per game. An interesting activity is find which offensive measures (batting average, OBP, SLG, OPS) are most helpful in predicting runs scored. | bayesball | Jun 8, 2010 | 958B | 935 |
Home Runs 2016
Data on all home runs hit during the 2016 baseball season. If the home run flew uninterrupted all the way back to field level, the actual distance the ball traveled from home plate, in feet. If the ball's flight was interrupted before returning all the way down to field level (as is usually the case), the estimated distance the ball would have traveled if its flight had continued uninterrupted all the way down to field level. Horiz. Angle - the initial direction of the ball as it left the bat in degrees, where 45 degrees is straight down the right field line, 90 degrees is straight over second base and 135 degrees is straight down the left field line. Apex - the highest point reached by the ball in flight above field level, in feet.
Three types of home runs: "Just Enough" or "JE", which means the ball cleared the fence by less than 10 vertical feet, OR that it landed less than one fence height past the fence. These are the ones that barely made it over the fence...
- "No Doubt", or "ND", which means the ball cleared the fence by at least 20 vertical feet AND landed at least 50 feet past the fence. These are the really deep blasts...
- "Plenty", or "PL", which is everything else.
Source: http://www.hittrackeronline.com/index.php | mcack1 | Feb 7, 2017 | 566KB | 814 |
Baseball data for correlation and regression
This table shows the total number of runs scored, at bats, hits, etc for each of the 30 MLB teams for the 2009-2011 seasons.
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Correlations and linear regression models can be calculated between the different numeric variables. A good exercise is to see which variables correlate most strongly with runs_scored.
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As emphasized in the movie Moneyball, some of the classic metrics such as batting_avg is not as good as the newer metrics like OBP (on base percentage), SLG (slugging percentage), or OPS (on base plus slugging).
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A guide to a few of the variables that may not be self explanatory.
Runs_Scored: The total of all runs (points) the baseball team scored by the end of the season.
Batting_avg: This is equal to the number of hits divided by at_bats
OBP: On Base Percentage. Similar to batting average, except that it takes into account walks and hit-by-pitch. Some players who don't have high batting averages, manage to get walked quite frequently.
SLG: Slugging - This weights hits to first base as 1 point, hits to second base as 2 points, third as 3, homeruns as 4, and divides the total by the number of at bats.
OPS - On Base Plus Slugging - this is just OBP added to the SLG numbers. | mileschen | Apr 17, 2012 | 6KB | 2558 |
Time of Baseball Game (Fall 2015)
This dataset has information the length of baseball games, along with characteristics of those games, from August 24 to August 31, during the 2015 Major League Baseball season. | jpalmateer@towson.edu | Sep 28, 2015 | 5KB | 3777 |
2017 MLB Salaries and Contracts
2017 major league baseball salaries by team and position; includes contract years, total value of contract, and average annual salary of the contract. | treiland | May 17, 2017 | 56KB | 291 |
2014 MLB Top 100 Batters
This data came from ESPN.com and has the top 100 batters by WAR (wins above replacement). AB: At bats R: Runs H: Hits 2B: Doubles 3B: Triples RBI: Runs batted in SB: Stolen Bases BB: Walks SO: Strikeouts AVG: Batting average OBP: On Base Percentage SLG: Slugging Percentage OPS: OBP + SLG WAR: Wins Above Replacement | statcrunchhelp | Jan 5, 2016 | 9KB | 723 |
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