Constructing a Hall-of-Merit Ballot Using Player Won-Lost Statistics
CaveatsPlayer won-lost records are calculated using play-by-play data from Retrosheet. To date, Retrosheet has only released complete play-by-play data back to 1939 along with play-by-play data for the majority of games from 1921 through 1938. The details of this, as they relate to Player won-lost records, are described here.
Hall-of-Merit Specific WeightsThe Hall-of-Merit ballot page differs from my regular Uber-Statistic page in two primary ways. First, one can select the year for which the HOM ballot is for (the default is 2019) and the resulting table will exclude any players who have already been elected to the Hall of Merit as well as players not yet eligible for the Hall of Merit.
As I said above, this table will not make adjustments for time which players missed due to World War II. I have, however, allowed for the reverse: adjusting player performance during World War II down to reflect the lower quality of play in those seasons. One can enter an adjustment factor for each of the final three years of the war: 1943, 1944, and 1945. A player's value statistic will be adjusted the number entered here treated as a percentage. To reduce player performance in these years (as I think makes the most sense) the numbers entered here should be negative.World War II
Adjustments of the same general type can be made for two other time periods: prior to 1947 across both leagues and between 1947 and 1965 in the American League. The former of these is, of course, the time period when Major League Baseball was segregated. In the same way that Negro League performance is typically downgraded somewhat to reflect the lower quality of that league, I think it also makes sense to downgrade the white major leagues over the same time period for the same reason. We have to take a bit of the air out of Josh Gibson's numbers because he never had to face Lefty Grove or Carl Hubbell or Bob Feller. But we also need to take a bit of the air out of Babe Ruth's numbers because he never had to face Satchel Paige or Smokey Joe Williams.Integration
General WeightsThe additional weights here mirror those which can be found on my Customized Value Statistic page. These weights are described in an article found elsewhere on my website. The bulk of that article is repeated here for convenience.
I calculate Player won-lost records two ways: pWins are tied to team records while eWins control for context. One can enter any numbers one wishes in the two boxes on this line.pWins vs. eWins
Wins are simply raw wins - a pure counting stat. WOPA stands for Wins over Positional Average and measures value relative to average. WORL stands for Wins over Replacement Level. Replacement Level is set one standard deviation below positional average. WO*, or Wins over Star, is a new measure introduced here as a way to give greater weight to "star" seasons vis-a-vis merely good ones. Star level is set equal to one standard deviation greater than positional average.Wins vs. WOPA vs. WORL vs. WO*
Approximately half of all WOPA and a majority of WO* values will be negative, by construction. It is even possible, although fairly rare, for WORL to be negative for a season. If a "y" is entered in any of these boxes, negative seasonal values for WOPA, WORL, and/or WO* will be treated as zeroes in calculation. A value of "n" will rely upon raw WOPA, WORL, and/or WO* values, regardless of sign.Zero Out Negative Values?
There are 14 separate positions to which one can apply distinct weights: the 8 fielding positions, designated hitter, pinch hitter, pinch runner, a pitcher's offensive contributions, starting pitching, and relief pitching. One can enter any numbers one wishes in these fourteen boxes.By Position
Player won-lost records are calculated for postseason games exactly the same way as they are calculated for regular-season games. One can assign whatever weights one would like for postseason wins, WOPA, and WORL. The weights chosen earlier for pWins vs. eWins and for Wins vs. WOPA vs. WORL will be applied to postseason records as well.Weights for Postseason
Entering a positive number, p, in this box will normalize all team seasons to p games. So, for example, if a player played in 120 of his team's 162 games in a season and p was set equal to 100, the player's statistics would be scaled down by (100/162), which would reduce the player's effective games played to 74 games (120*[100/162]). Leaving this box blank, or entering the number zero, would use the actual number of team games for all seasons.Normalize seasons to _ Games
For seasons before 1939, Retrosheet is missing play-by-play data for some games. In these cases, Player won-lost records are calculated only for games for which Retrosheet has released play-by-play data.Extrapolate missing player games?
The number entered in this box will be the number of players presented in the final table of players. The table is constructed on the fly and the larger the number entered here, the longer the table may take to be built. Please be patient.Show top _ players
+ pWins vs. eWins
+ Normalizing Season Length
+ Wins vs. WOPA vs. WORL vs. WO*
+ Treatment of Postseason Wins
+ Differences by Position