Sunday, February 18, 2007

Paul Hines

Paul Hines (1898)cf
336/375/456



Sim Score A
HoF Standard A
Grey Ink A
Keltner A
HoF Monitor A
Pitcher LWTS n/a
Relative RC/27 C
Win Shares A
WS-Defense B
WARP1 A
Fibonacci n/a
Score 97(189)

George Wright

George Wright (1898)ss

335/352/446



Sim Score B
HoF Standard A
Grey Ink B
Keltner A
HoF Monitor A
Pitcher LWTS n/a
Relative RC/27 B
Win Shares A
WS-Defense B
WARP1 A
Fibonacci n/a
Score 97(188)

Ross Barnes

Ross Barnes (1898)2b
393/424/512



Sim Score B
HoF Standard A
Grey Ink A
Keltner A
HoF Monitor A
Pitcher LWTS n/a
Relative RC/27 A
Win Shares A
WS-Defense A
WARP1 A
Fibonacci n/a
Score 105(203)

PHoM-Open Method Inductees

#ElecteePos
1.Ross Barnes2b
2.Paul Hinescf
3.George Wrightss
4.Deacon White3b
5.Al Spaldingsp
6.Ezra Sutton3b
7.George Gorecf
8.Hardy Richardson2b/of
9.Charley Radbournsp
10.Charley Jonesrf
11.Lip Pikecf
12.Cal McVeyc/1b

PHoM-Quota Method Inductees


#ElecteePos
1.Ross Barnes2b
2.Paul Hinescf
3.George Wrightss
4.Deacon White3b

1898 Election Results




PHoM Quota Method
#ElecteePos
1.Ross Barnes2b
2.Paul Hinescf
3.George Wrightss
4.Deacon White3b






PHoM Open Method
#ElecteePos
1.Ross Barnes2b
2.Paul Hinescf
3.George Wrightss
4.Deacon White3b
5.Al Spaldingsp
6.Ezra Sutton3b
7.George Gorecf
8.Hardy Richardson2b/of
9.Charley Radbournsp
10.Charley Jonesrf
11.Lip Pikecf
12.Cal McVeyc/1b

Saturday, February 17, 2007

Alternative Hall of Fame -- Methods (Pitcher LWTS)

In "The Hidden Game of Baseball," Pete Palmer and John Thorn developed a linear weights system for valuing players. Linear Weights assigns a weight to each stat, based on that stat's likelihood of producing runs. Although calculated differently, it works similarly to Bill James' Runs Created.

Runs Created, however, did not address pitchers. Linear Weights did. The oversimplified LWTS for pitchers is to divide League ERA by the pitcher's ERA and multiply it times innings pitched. The average pitcher scores 0, since if the pitcher had a league average ERA you would be multiplying 0 times the innings pitched. Negative scores occur if the pitcher's ERA exceeded the league ERA. There's a park adjustment in there too.

I calculate linear weights for each pitching season. I calculated the career LWTS totals for all pitchers in the Hall of Fame and developed a grade scale.

I also wanted to take into account the effect of defense behind the pitcher. Baseball Prospectus includes a pitcher's DERA, which is what the pitcher's ERA would be if he had an average defense behind him. After doing the initial raw LWTS career grade above, I separately grade the pitcher on what I call his DERA LWTS. I the 3-year peak, 5-year consecutive peak, 7-year peak, LWTS per 100 innings pitched, and career linear weights, much like I do for Win Shares and WARP1. I did the same LWTS calculations for all Hall of Fame pitchers to develop a scale for measuring whether a pitcher fits within the Hall based on these DERA LWTS scores. I then average the LWTS career grade with the DERA LWTS grade.

I did a separate calculation for Hall of Fame (or near Hall of Fame relievers), because their LWTS and DERA LWTS totals are lower than starters. Therefore, relievers get a different grade scale.

This test gets normal weight in a pitcher's GPA.

Alternative Hall of Fame -- Methods (Fibonacci Wins)

Bill James' Fibonacci Win Points are a pitcher's wins, times his winning percentage, plus his games over .500. He posited that win point are a better way of looking at won-lost records than simply wins, because they do a better job of separating the wheat from the chaff. Pitchers with win percentages that exceed Fibonnaci's number (0.618) get a boost to their win totals.

I set up a grade scale, based roughly on Bill James' findings of Hall of Fame pitchers' Fibonacci scores. For instance, he found 86% of those with 207 or more Fibonacci win points were in the Hall of Fame.

I am not 100% convinced this method tells us much, but I need a separate test for pitchers. So it gets 1/2 the normal weight in the GPA.

Alternative Hall of Fame -- Methods (Relative RC/27)

This one is straightforward. After normalizing the stats, I measure the player's career runs created per 27 outs to the weighted league average runs created per 27 outs for the seasons he played, to develop a relative number.

For each position player in the actual Hall of Fame, I examined their relative quotient and developed a range for the grading system. For instance, catchers get a "C" if the quotient is between 1.06 and 1.16, which means they hit 6-16% better than the league. But a right fielder who gets a 1.06 to 1.16 would score an "F".

The Relative RC/27 score gets normal weight in the GPA.

Alternative Hall of Fame -- Methods (Win Shares Defense)

See the Win Shares post for more about Win Shares and the defensive adjustments I make through 1909.

For each position played, I examined the rate of defensive Win Shares per 1,000 innings achieved by actual Hall of Famers (categorized by position) and developed a scale to apply to the players under evaluation. Based on that, I give the player a grade for his defense.

Because the rest of the tests for position players are focused primarily on hitting, my Win Shares Defense grade gets the normal weight in the GPA.

Alternative Hall of Fame -- Methods (WARP1)

This one is based on the system used at Baseball Prospectus. I adjust WARP for season-length, as described in the normalization post.

WARP stands for Wins Above Replacement Player, and you can read more at Baseball Prospectus. They have three versions of WARP: 1, 2 and 3. WARP1 is the basic measure. WARP2 "timelines" the WARP1 score, to account for the higher talent levels in modern baseball. WARP3 then adjusts WARP2 for season-length.

I do not timeline. I measure players in the context in which they played, not the modern context. That's why I use WARP1, and then independently apply a season-length adjustment. In a way, it is like WARP3, but skips WARP2.

I give an individual grade for each of the following: 3-year peak; 5-year consecutive peak; 7-year peak; WARP1 per 162 games (or WARP1 per 100 IP for pitchers); and career WARP1. My goal is to blend peak measures with career totals. So in addition to giving grades in those areas, I also have a combo formula that gets a grade. The combo formula consists of taking the square root of the product of WARP1 per 162 games (or WARP1 per 100 IP) times career WARP1.

For each position played, and each of those WARP1 categories, I examined the numbers achieved in those categories by actual Hall of Famers (categorized by position) and developed a scale to apply to the players under evaluation. After applying the grades in those categories, I end up with a WARP1 GPA, which determines the grade that goes into the player's overall GPA.

My WARP1 grade gets 1.5 times the normal weight in the GPA, because it is one of the preeminent uber-systems. Unlike Win Shares, I do not give a separate grade for WARP1 defense. Maybe someday I will.

Alternative Hall of Fame -- Methods (Win Shares)

This one is obviously based on Bill James' Win Shares system. I adjust the Win Shares for season-length, as described in the normalization post.

I give an individual grade for each of the following: 3-year peak; 5-year consecutive peak; 7-year peak; WS per 162 games (or WS per 100 IP, for pitchers); and career WS. My goal is to blend peak measures with career totals. So in addition to giving grades in those areas, I also have a combo formula that gets a grade. The combo formula consists of taking the square root of the product of WS per 162 games (or WS per 100 IP) times career WS.

For each position played, and each of those WS categories, I examined the numbers achieved in those categories by actual Hall of Famers (categorized by position) and developed a scale to apply to the players under evaluation. After applying the grades in those categories, I end up with a Win Shares GPA, which determines the grade that goes into the player's overall GPA.

I made some special adjustments up through 1909. From 1871-1909 the ball was put in play a lot more than today, because pitchers essentially started the action. Win Shares assumes that defense is 48% of the game. Defense is split into pitching and fielding, but pitching gets twice as much weight as fieldign. That is not appropriate for the earliest years in baseball.

In my system, from 1871-1880, I recalibrate Win Shares to treat pitching and fielding as 50-50 on the defensive side. That means a reduction in Win Shares for pitchers, and increases in Win Shares for fielders (shared with teammates). From 1881-1886, I recalibrate Win Shares to treat pitching and fielding as 57-43 on the defensive side. From 1887-1893, I recalibrate Win Shares to treat pitching and fielding as 60-40 on the defensive side. From 1894-1909, I recalibrate Win Shares to treat pitching and fielding as 63-37 on the defensive side. Beginning in 1910, I leave the split "as is" at 67.5-32.5.

My Win Shares grade gets 1.5 times the normal weight in the GPA, because it is one of the preeminent uber-systems.

Alternative Hall of Fame -- Methods (Keltner Test)

In "Whatever Happened to the Hall of Fame" Bill James explained the "Keltner List," named after former Cleveland third baseman Ken Keltner: "I drew up a lits of questios that might be used to evaluate where a player stands as a potential Hall of Famer...but, because it involves a series of subjective questions, it doesn't necessarily work as a formal methodology."

There are 15 questions, and they require yes/no responses. I formalize the methodology for this project, by giving some of the questions greater weight, and some lesser weight. For instance "Do most players with comparable stats get elected" is given 1/2 the weight, because in my system Sim Scores get 1/2 the normal weight in the GPA. So a "yes" to that question earnst he player 0.5 points.

A question that gets 1.5 times the weight is "Was he arguably the best player in the league at his position?" because I think this is a very important part of evaluating Hall of Famers.

I then developed a scale that gives an A to anyone with 8 points or more, a B for 6-7 points, a C for 4-5 points and a D for 2-3 points.

It is subjective, but because it is arguably the real test of whether someone should be in the Hall, the Keltner Test gets the normal weight in the GPA.

Alternative Hall of Fame -- Methods (HoF Monitor)

Bill James created the Hall of Fame Monitor test in his "Baseball Abstract" to address an issue not addressed by the Hall of Fame Standards test. Whereas the Standards measured career performances, the Monitor evaluates how many individual seasons a player hit a certain benchmark, like a .300 batting average, 25 wins, or winning an MVP award. It does so for purposes of predicting whether a player will make the Hall of Fame based on what seems to impress the voters. For instance, James included number of seasons of 200 hits because that seems to impress the voters, even though it is essentially meaningless.

The Standards is a 100 point system with an average Hall of Famer getting 50. The Hall of Fame Monitor has no limit, but most players who hit 100 are likely Hall of Famers. A player's Hall of Fame Monitor score is reported on Baseball Reference.com.

I took the system as it is, with a few modifications. First, all of the numbers I plug into the Hall of Fame Monitor are normalized. And second, instead of measuring how many All-Star games a player actually played in, I evaluate how many times the player was worthy of being an All-Star by reference to his Win Shares and WARP1 scores (adjusted for season-length). Win Shares seasons of 25 or better qualify. WARP1 scores of 8.0 or better qualify. This makes up for the pre-All Star period, where players would be at a disadvantage in the system and for the fact that some players continue to be elected to the All-Star game well after they should be.

The last thing I did was develop a grade scale for each position. Like the Hall of Fame Standards, I evaluated the Hall of Fame Monitor scores for current Hall of Famers to develop the grade range. A player who gets an "F" might be a very good player -- he is not a failure relative to all baseball players -- but the "F" represents how he compares to solid Hall of Famers.

The Hall of Fame Monitor test gets normal weight in the GPA.

Alternative Hall of Fame -- Methods (Grey Ink)

Bill James created the Black Ink test in "Whatever Happened to the Hall of Fame." The test awarded points for players who were first in key statistical categories.

Hitters received 4 points for leading the league in batting average, RBI or home runs; 3 points for leading the league in runs, hits or slugging percentage; 2 points for leading the league in doubles, walks or stolen bases; and 1 point for leading the league in games, at bats and triples.

Pitchers received 4 points for leading the league in wins, ERA or strikeouts; 3 points for leading the league in innings, win pct or saves; 2 points for leading the league in complete games, fewest walks per 9 innings or fewest hits per nine innings; and one point for leading the leauge in games, starts or shutouts.

At some point, sabermetricians developed grey ink, which awarded the same points, but based it on a top ten finish, rather than leading the league. A player's career black ink and grey ink appears as part of Baseball Reference.com.

I went with the grey ink test, but faced three problems. First, because James was trying to predict who would be in the Hall of Fame, not who should be in the Hall of Fame, he used categories the Hall of Fame considered important. In some cases, the stat categories do not do a good job representing player quality. I changed the categories in some cases, although not in a purely sabermetric way.

For hitters, the four point categories and two point categories are the same. In the three point category, I replaced hits with on-base percentage. In the one point category, I replaced games with hits, and at-bats with Power/Speed number, another Bill James "toy" for which you can see the leaders on Baseball Reference.com. I made no category changes to the pitchers.

The second problem was that the numbers were not park-adjusted when developing league leaderboards. I adapted my database to this problem, using the park factors on Baseball Reference.com. I can now generate park-adjusted leaderboards for every category except stolen bases, power/speed number, saves, complete games, games pitched, starts and shutouts.

The third problem was figuring out how to assign grades. Again, those on the left end of the spectrum get higher grades with lower grey ink scores. I informally calculated the grey ink for Hall of Famers and developed ranges for my grading system. There's a separate scale for each position.

Before my Grey Ink test was park adjusted, it got 1/2 the normal weight in the GPA. Now that it is park-adjusted, it gets the normal weight in the GPA. This is the test that takes the longest for me to calculate, because I have to generate leaderboards for every year after making the park-adjustments.

Alternative Hall of Fame -- Methods (HoF Standards)

In "Whatever Happened to the Hall of Fame," Bill James created the "Hall of Fame Standards." The method was not designed to say who should be in the Hall of Fame in any absolute sense, but rather to determine who is likely to be elected to the Hall of Fame based on the standards that the Hall of Fame seems to apply -- assuming there are any. The idea is that if a player's Hall of Fame Standards score is in the range of the Hall of Fame Standards scores of players actually elected, he too is likely to be elected.

The system was designed so that the average Hall of Famer scored a 50. For hitters James evaluated hits, batting average, runs, RBI, slugging percentage, on-base percentage, home runs, extra base hits, stolen basis and walks, plus a defensive adjustment. For pitchers James evaluated wins, win pct., games, ERA, strikeouts, walks per nine innings, hits per nine innings, innings pitched, complete games and shutouts. All this was done with career numbers. You can get a player's Hall of Fame Standards score on Baseball Reference.com.

I took the system "as is," with the following changes.

(1) The numbers I use are not actual totals, but the normalized totals I develop for each player. That means they are adjusted for run scoring environment, park factors and season-length. A few are not adjusted that way. Games played, complete games and shutouts are not adjusted at all. Pitcher strikeouts, BB/9 and H/9 are park-adjusted, but not adjusted for run scoring environment or season-length.

(2) Because a typical HoF Standards score differs among positions played, the HoF Standards totals required to get a particular grade are lower for players on the left end of the defensive spectrum (and relief pitchers) than players on the right end of the spectrum (and starting pitchers). For instance, it takes 56 points to get an "A" if you are a right fielder, but only 50 to get an "A" if you are a shortstop (and the shortstop also gets some positional points under the Bill James system).

The ranges I use for each position are based on a study I did of the HoF Standards scores of players in the Hall of Fame, categorized by position played.

The Hall of Fame Standards test gets a normal weight in the GPA.

Alternative Hall of Fame -- Methods (Normalization)

General

Most of the measures I use to determine the PHoM are centered around normalizing a player's stats, so I can compare them across different eras, and ballparks. The basic method I use is what Bill James called the "Willie Davis" method in his book "Win Shares."

If you are reading this blog, you probably know what park-adjustments are. I use the park adjustment factors found on Baseball Reference.com, which are derived from Pete Palmer's method in "Total Baseball.

Hitters

For hitter normalization, I took a slightly different approach to account for different run scoring environments. First, I calculated the value of an out under Palmer's linear weights method, for each year and each league in baseball history. The values range from a low of .185 in the 1875 National Association, to a high of .335 in the 1894 National League. I tried to find a relatively modern year in which both the NL and AL had the same out figure. The closest year was 1974, where the NL had a .271 and the AL had a .273. I wanted a more round number, so my baseline for the Willie Davis method is an out value of .270.

I apply this to runs created, and then back into the raw stats. In short, I normalize the hitting stats by: (1) park-adjusting runs created, (2) calibrating the actual season's out value to the baseline value of .270 and applying that to runs created and (3) using the calibrated runs created figure to proportionally adjust the actual raw stats. The goal is to leave at-bats roughly the same as in the actual season, but normalize the other stats.

There's another problem, and that has to do with season-length. Comparing the stats of someone who played 80 games in an 81 game major league season to someone who played 150 games in a 162 game major league season has some obvious disadvantages for the short-season player. Rather than just multiply the first player's stats by two, I use an exponential method to calibrate the seasons to a 162 game schedule. I divide 162 by the average number of games that a team played in the subject season, and raise it to the 2/3 power to get an adjustment figure. I use that figure to make season-length adjustments.

Pitchers

What about pitchers? For pitchers I normalize their linear weights by comparing the league average ERA for the year to a baseline ERA of 3.75. That helps with normalizing the ERA, but it does nothing for Wins.

Here's the method for Wins. First, I calculate the pythagorean win pct based on the normalized ERA, using an exponent of 1.83. I compare the number of wins in this method, to the number of pythagorean wins a player would have with his un-normalized ERA. I then add (or subtract) the difference in pythagorean wins to the actual wins to get a new wins figure. Thus, I'm not using normalized pythagorean wins as the number of wins; I'm using actual wins, plus the difference in pythagorean wins between normalized ERA and actual ERA. I also add to those wins 1/2 of the Wins Above Team the pitcher achieved.

Finally, for pitchers, there is a separate kind of season-length disparity that is not based on the number of games a team plays. With current five man rotations, the opportunities for wins are much less than when a team had two starters. It is difficult to compare Greg Maddux to Mickey Welch when it comes to wins. So I developed a separate season-length adjustment for pitchers.

This adjustment is based on the average number of starts earned by starters with at least 24 starts during a season. The baseline for this is right around 1974-1975, where the average "regular" starter started 34 games. Pitchers in early baseball who started a lot more games have their wins ratched down. For instance, in the 1873 National Association, the average regular starter started 47 games. Normalizing that to 34 games means I multiply the pitcher's starts by .723, in both the wins and losses columns. By contrast, in the 2005 American League, teh average regular starter started 31 games, so those pitchers get a boost to their starts by 1.0968.

League Quality

One last normalization point. Some leagues are weaker than others, and that must be accounted for. After much discussion, I have determined there is no way to accurately measure weakness. At best we can make well-reasoned guesses. I have decided to ignore small indications of weakness, where one league is less than 5% weaker than another. Also, I ignore era-related weaknesses. I do not "timeline" -- that is, adjust for the fact that every player in major league baseball today is probably a better athlete than 95% of the players in 1900. I treat all eras equally. Accordingly, players during WWII are not dinged for the lower quality competition. They played against the best players available.

Still, there are some obvious instances of league weaknesses, primarily for the National Association, American Association, Federal League, and Union Association. I ignore any subtle weaknesses, like the American League weaknesses in the first few years of its creation relative to the National League. With no real way to peg a number, and because there were quality players in the league, such an adjustment would be as likely to distort as to elucidate.

Here are my league quality adjustment factors.

Union Association 0.65
Federal League 0.76 (both years)
American Association 0.78 (1882), 0.84 (1883), 0.89 (1884), 0.90 (1885 & 1889), 0.95 (1886-1888), 0.79 (1890), 0.76 (1891).
National Association: 0.90 (1871), 0.97 (1874), 0.72 (1875)

Friday, February 16, 2007

Alternative Hall of Fame -- Methods (Sim Score)

The first item on my grade sheet is for Similarity Score. This is a Bill James creation from his book "Whatever happened to the Hall of Fame." It takes two players' career stats in a few categories, compares the differences, and assigns a value to those differences.

The stat categories for hitters are: games, at bats, runs, hits, doubles, triples, home runs, RBI, walks, strikeouts, stolen basis, batting average and slugging percentage. You start with 1,000 points, and then subtract based on the differences between two players. For example, for each .001 difference between two players' batting averages, you subtract 1 point. For each difference of 4 triples, you subtract one point, and so on. There's also a positional adjustment, on the theory that shortstops (for example) are a lot different than DHs, but not that much different than second basemen.

The method is the same for pitchers, and the categories are: wins, losses, win percentage, ERA, games, starts, complete games, innings pitched, hits allowed, strikeouts, walks, shutouts and saves. There's an adjustment based on which hand they throw with, and whether they are starters or relievers.

The idea is that if the player being evaluated has a high similarity score with other players who are worthy of induction, then the player being evaluated may be worthy of induction. You can find Sim Scores for every player on Baseball Reference.com. James invented it only as a fun little test.

From an evaluation standpoint, it has three principal flaws, in my opinion. First, the career stats are not park-adjusted or era-adjusted. I have a partial remedy that, described below. Second, it uses only career stats, so very good players with long careers may be similar to awesome players with shorter careers. Third, it ignores defense, although can take into account a position value. My remedy for the second and third flaws is to give Sim Scores grades only 1/2 the weight of a normal measure.

My remedy for the first flaw is more complex. I take the career numbers after the "normalization" process described in another post on this blog, and enter them into the spreadsheet that does the Sim Score calculations. Accordingly, a player's Sim Scores are based on park-adjusted normalized career stats.

How does this produce a "grade"? I find the 10 most similar players to the one being evaluated. For each one that is HoF-quality, I assign 4 points to those with a score of 950 or better (James called this ("unusually similar"); 3 points if the score is 900 or better ("truly similar"); 2 points if the score is 850 or better ("essentially similar"); and 1 point if the score is 800 or better ("somewhat similar"). I also give 3 points if there are no unusually similar players. For instance, no one is truly similar to Babe Ruth, but he should not get a lower grade for being better than everyone else.

If a similar player is no HoF-quality, there are no points given. How do I determine HoF-quality players? It is subjective. I count everyone in the HoF, even if I think their election was a mistake. I count everyone in the Hall of Merit, even if I think their election was a mistake. And I count everyone I've put in my PHoM, in which I make no mistakes. :)

The most points anyone could get would be 40. That's 10 unusually similar HoF-quality players. No one has 40 points. I give an A for 16 points or better, a B for 12 points or better, a C for 8 points or better and a D for 4 points or better. Everything else is an F.

One more thing: I do not use the positional adjustment, except for those players on the left end of the defensive spectrum: catchers, shortstops, second basemen and third basemen.

As stated earlier, the Sim Score grade gets 1/2 the normal weight in the GPA.

Alternative Hall of Fame -- Methods (Overview)

Although the details of my system have changed several times -- constantly being tweaked -- the system has always revolved around a "report card" for the players. The Report Card includes the following categories, and the categories are weighted as indicated:

Similarity Score x 0.5
Hall of Fame Standards x 1.0
Grey Ink Test x 1.0
Keltner List x 1.0
Hall of Fame Monitor x 1.0
Win Shares x 1.5
WARP1 x 1.5

For position players, I add:

Runs Created relative to League Average Runs Created x 1.0
Defensive Win Shares x 1.0

For pitchers, I add:

Pitching Linear Weights x 1.0
Fibonacci Win Points x 0.5

In each category, a player gets a grade, based on an A to F scale. An A is worth 4 points, a B is worth 3 points, and so on. Those grade points are weighted, as described above, and produce a GPA. I then compare the player's GPA to a perfect score (a 4.0).

I calculate two GPAs. The first, base score is the player's GPA as a percentage of a perfect score, dropping the lowest grade. That number generally will be between 0 and 100, although because of the weighting system players can score as high as 106.

The second score is the tiebreaker. It is the player's GPA as a percentage of a perfect score, with all the grades included, and then added to the base score. Because I will only be posting for those players who make good enough grades, the second number will not be lower than 100 and may be as high as 206.

As mentioned in the earlier posts, I'll be posting two lists: one based on the Hall of Merit quota system, which limits the number of electees each year (the PHoM-Quota list); and another based on which players meet 75% of the standards (the PHoM-Open list). For this second list, any player whose base score is 75 or higher will make my PHoM-Open list.

For each of the categories on the grade sheet, I will add a separate post explaining how I calculate the grades.

Alternative Hall of Fame (Repost)

Since its inception (more than 2 years ago), I have been participating in a project for an alternative baseball Hall of Fame, known as the Hall of Merit. A collection of baseball sabermetricians (about 50 of us) hold an election every two weeks, representing another year in baseball history. It is hosted on the Baseball Think Factory site. The first election was for players retiring 1892 and before. Then every two weeks we have an election for the players becoming eligible for the next year. Consideration is given to players who spent considerable time in other leagues. The most obvious example is the Negro Leagues, but there were also a number of players who played professionally before what we consider the major leagues (the National Association) became official in 1871.

I thought it might be interesting to post here, from time to time, my proposed selections for the Hall of Merit, because although I get a vote, it is only one of 50. Often the players I believe should be elected are not (although many times they are elected eventually). That's true for all of the voters, of course. Most of us keep track of our Personal Hall of Merit, or PHoM for short.

One word about the Hall of Merit system. There are a specified number of players elected each year. In the first election, since we were covering 21 years of baseball, there were 4 electees. In most years there are 2, but in some years there are 1 and when we get to the modern years it will be 3. The numbers were determined by the baseball "population" for the given years, and the final number elected should approximate that of the actual Hall of Fame.

When I post my PHoM selections here, I will post two lists. One will use the quota system of the HoM (call it PHoM-Quota Method) and the other will list those who meet 75% of my standards for induction (call it the PHoM-Open Method). Almost everyone on the first list will be on the second, but not necessarily vice versa. For that reason, I will give brief descriptions of the elected players only for the Quota Method, along with a link to their baseball record.

The PHoM posts will happen periodically. I also will post a guide to my methods.