One major difference is my list excluded pitchers and judged players only on their ability to get on base, to hit with power and to produce runs for their team. The other 2 lists included pitchers and for hitters also looked at defense and running. My list also includes a point total for each player. Points were awarded to players based on the following accomplishments:
If you are interested in how each player got their points, please read Chapter 18 in my book.
So how do these three lists compare? To no one’s surprise the BABE is number one on all 3 lists. My list has Ted second while the other 2 lists put Willie second. I can understand this since if you combine hitting with fielding and running there is a good argument that Willie was better allaround than Ted. But if you just look at hitting there can be no argument that Ted is number two. The only active player on any of the 3 lists is Albert Pujois who is on my list. Mantle appears on the other 2 lists but ranked 13th on my list with a total of 5 points. I object to the exclusion of Lou Gehrig from the top 10 ESPN list. Another objection is the exclusion of Rogers Hornsby from the other two lists. From 1921 to 1925 Hornsby had a cumulative batting average over .400. Note that even though the other two lists included pitchers only one pitcher made it on each of their lists.
2 Comment(s):
Dr. Stan “The Stats Man” said…
Thanks Matt R for your praise. It is amazing how close my list is to the ESPN list considering I excluded pitchers and running and fielding for hitter. July 25, 2016 11:35:58

Matt R. said…
Great work! July 25, 2016 11:00:10 
Let’s fast forward to 2016 Spring Training. Bonds signed a contract to be the cohitting coach for the Miami Marlins. In his first news conference, appearing for the first time in a baseball uniform in nine years, he was asked about the Hall of Fame. He responded by saying that God knows and he knows he should be in the Hall of Fame. I don’t know what God is thinking but I agree with Barry that he should be elected to the Hall of Fame. Remember the Hall of Fame is not the Hall of Saints. Let’s look at a few such flawed players in the Hall of Fame. Some of these include Ty Cobb (supposedly a racist), Tris Speaker (supposedly a member of the KKK), and Gaylord Perry (cheater with Vaseline on baseball)
I would add a few more character flawed players to the Hall of Fame. Two such players that come to mind immediately are Joe Jackson, implicated in the Black Sox Scandal of 1920, and Pete Rose, accused of betting on baseball and then lying about it.
Shoeless Joe Jackson played 13 years in the majors (19081920). He career ended prematurely due to the Black Sox Scandal. Some of Joe Jackson’s notable baseball statistics include batting .408 in his first season as a rookie, second only to Ty Cobb with .420 and the highest ever by a rookie. In 1912, Joe batted .395 and led the league with 26 triples. In 1913, he led the league with 197 hits. He has the third highest career batting average at .356. Bill James ranks him as the 33^{rd} greatest nonpitcher in Major League History.
Now everyone knows the story of Pete Rose, the career hits leader at 4256 hits. He played 24 years in the majors (19631986). He was a 17time AllStar, Rookie of the Year, and MVP in 1973. Added to these notable statistics is the way he played the game. His nickname “Charlie Hustle” tells that story. Because of his lack of power numbers he was only an Honorable Mention on my AllTime list in my book.
The time has come to change the Hall of Fame selection method. We now have the ability, as I did in my book, to base selection on actual player statistics. The Hall of Fame should not be a popularity contest or a judgement process on a player’s personal life and transgressions. Let’s face it when we are young many of us, including myself, make bad decisions. Let a player’s work between the lines determine his selection to the Baseball Hall of Fame.
Please comment on your thoughts about my blog.
]]>Today, Billy Beane believes the next frontier of analytics is not about statistics measuring onfield performance but instead on keeping players on the field. In fact Billy Beane, now vice president of baseball operations for Oakland, has been one of the loudest voices touting player injury prevention.
The term PHM (population health management) has now appeared in baseball circles. Healthcare metrics are being introduced to analyze the causes of injuries which will hopefully lead to their prevention. Healthcare data mining and baseball Sabermetrics have more in common than one might think. Both want to notch some big wins and both healthcare and baseball are faced with greatly increased costs which must be controlled.
Neil Kudler, MD, showed how healthcare can learn from Moneyball how to use large amounts of data to make objective decisions on injury prevention. Like baseball, for many years healthcare was dictated by handeddown wisdom of the past without using newer available data. Kudler’s novel approach is to create measurements in a way similar to baseball. In baseball, some of these metrics are OBP (onbase percentage), SLG (slugging percentage), and OPS (onbase plus slugging). Dr Kudler argued that population health management has to be an evidencebased team sport. Some of Kudler’s metrics are POP, AC, RM, and ERR. Below is how Kudler links his health statistics to baseball statistics.
POP is the population health management (PHM) team’s win/loss percentage equal to their total patient population kept under control divided by their total patient population.
The players on a PHM team are the primary care physicians (PCPs). Their statistics are: AC is the PCP’s onbase percentage equal to their total number of patients that did not get better or worse (stayed the same) divided by their total number of patients.
RM is the PCP’s slugging percentage equal to their total number of patients that got better divided by their total number of patients. ERR is the PCP’s error percentage equal to their total number of patients that got worse divided by their total number of patients.
These metrics are applied to two physicians in a PHM group. Dr. Smith handled 250 patients from period 1 to period 2; his AC=146/250 =.584; his RM=44/250=.176; his ERR=60/250=.240.Dr. Jones handles 300 patients from period 1 to period 2; his AC=215/300=.717; his RM=45/300=.150; his ERR=40/300=.133.
The performances of these two doctors can then be compared. Yes, moneyhealth
]]>A reader of this blog sent me an email asking the question: How would Bill James rank Derek Jeter against all Hall of Fame shortstops? For those of you unfamiliar with the name Bill James, his baseball formulas form the underpinnings for the book “Moneyball”. One method of answering this question is to apply Bill James’s Hall of Fame Standard Test to Jeter and the 22 Hall of Fame shortstops.Table 2 below ranks these 23 players using Bill James’s Hall of Fame Standard (HOF STD) Test. James’s HOF STD Test awards points based on certain batting and baserunning statistics. Some examples of how points are awarded are: a player is awarded one point for each 150 hits above 1500, a player is awarded one point for each 100 stolen bases, and a player is awarded one point for each 200 home runs. You can read the complete list of how points are awarded in my book “Sandlot Stats” on pages 261262. For the HOF STD Test the higher a player scores the higher his ranking. In Table 2 the column called HOF STD gives a player’s total points and the column called FR gives his final rank.
Some of my observations in comparing these two tables are:
Both tables show that Honus Wagner is clearly number 1 and Derek Jeter is clearly number 2. This is evidence that when people discuss the greatness of Jeter they need not preface it by emphasizing his intangibles. Derek Jeter’s statistics alone say that he probably is the second greatest offensive shortstop of alltime. One may argue that my study is too limited since I only included Hall of Fame shortstops. I would welcome anybody to compare Jeter to all shortstops that played in at least 1500 games. To be considered a shortstop that player should have played a majority of his games at shortstop. Of course this would disqualify such players as Alex Rodriguez, who after returning from his suspension will eventually play more games at DH and third base than at shortstop.
Original Comments:
Vince Burke said…
As an Orioles fan, even I am glad to see Jeter cuts it. He makes it hard for Orioles fans to hate the Yankees!
February 21, 2014 07:44:56
]]>My current research done with the help of Kevin Faggella, a math major at QU, introduces a new alternative formula to Bill James’ formula to accomplish the same goal. My formula is Expected W% = .000683*(RS – RA) + .500 and is called the Linear Theorem of Baseball. This formula is developed by applying the statistical techniques of linear regression and correlation analysis to the sample of MLB years 19982012. For those interested in learning these important mathematical tools and seeing the derivation of these theorems go to Chapter 5 of Sandlot Stats. In fact, my Expected W% formula would have correctly predicted the fate of the 2005 Washington Nationals. On July 5, 2005 the Washington Nationals were in first place with a record of 5132 having RS = 340 and RA = 340. According to my formula their Expected W% = .000683*(RS – RA) + .500 = .500. This clearly sent a message about how their season would end. In fact, their final record for 2005 was 8181 with RS = 639 and RA = 673.
Let us now look at the midpoint of the 2013 season and use my formula to make predictions on which teams will make the playoffs. Using 90 wins as the milestone for a team to either win their division or become a wild card, this equates to a final record of 9072 and a winning percentage of (90/162) = .556. Using my formula, we have .556 = .000683*(RS – RA) + .5000. Solving we get (RS – RA) = 82 (rounded). Of course, one might choose 95 wins or some other amount instead of 90. Based on the closing records before the 2013 AllStar game and using my formula, I created a table of all the teams whose Expected W% = .000683*(RS – RA) + .500 is now greater than .500. I also included the Dodgers because they finished the first half winning 18 of their last 23 games.
Using this table along with other data, these are my playoff predictions for 2013. First, the division winners are for the ALEast Boston, for the ALCentral Detroit, for the ALWest Oakland, for the NLEast Atlanta, for the NLCentral St Louis, and for NLWest the Dodgers. My two wildcard choices are for the AL Tampa Bay and Baltimore or Texas (a tossup) and for the NL Pittsburgh and Cincinnati. I pick Detroit for the ALConference winner and St. Louis for the NLConference winner. The last time Detroit won a World Series was in 1984 under the leadership of Sparky Anderson. Detroit’s current manager Jim Leyland managed the 2013 AllStar game to win and the AL won. Yes, with the help of home field advantage the Detroit Tigers will win the 2013 World Series. Sadly, I predict my beloved Yankees will be on vacation during the playoffs.
Original Comments:
2 Comment(s):
Dr. Stan said…
Thank you Dennis for your compliment. I just looked back at my posting on July 23 and it seems like all the teams I predicted to be in the playoffs have an excellent chance of making it.I believe that after a certain number of games looking at the difference between runs scored and runs allowed instead of the winloss record can give a better prediction of a team’s final record. My new formula seems to work and can be used at any point in the season. August 18, 2013 07:47:26

Dennis said…
Stan looks like you are spot on with this formula. Very interesting that you found the Dodgers shooting up before most fans or media! August 18, 2013 06:32:43 