Retroplay: MLB, NLB All Years

Retroplay: MLB, NLB All Years

9/17/19: And it begins….(the hiatus, I mean). Don’t expect much in the way of updates (site-wide) until I get my current work out of the way and put the finishing touches on the sprawling Retroplay baseball history replay project. By MLB Opening Day, 2020, I hope to have a definitive set of data and the first publications that result from the many years of time-consuming research, organization, and findings.

Within a day or two, the status of all of my web pages will be changing, as any premium plan features will go away (at least until I renew as a paid subscriber, likely sometime in 2020). Take care, and circle back later…

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TTL/ERL Champions For All Replayed Seasons










ERL PENNANT POINTS FOR 1991 THROUGH 2018, AND TOTALS FOR 1901-2018:Pennant Pts. (2018)KEY: PP=Pennant Points, with 100 going to the champs, and all other qualifying teams each receiving an amount expressing their relative strength as a percentage of the Core WAR total for the title-winners (rounded, and in whole numbers <100).

QY=Qualifying Years (years in which an area team met the minimum requirements and was able to put a team on the field for the season replay).

APQY=Average Points per Qualifying Year (good quick-glance gauge for determining the usual quality of teams fielded; contenders or mere pretenders?).

TITLE=What they all played for, the championship; only one title issued per year!


The graphics below summarize True Test League (TTL) totals





NEW, as of 5/31/2019. Download for free some of the all-era summary files (covering all years from 1871 through 2018). These are columnar Excel files, so they run on for thousands of rows. But by my leaving them in this form, the user is able to more easily sort by various criteria and manipulate data-groups at will. The main, alphabetical file of all participating players starts things off here:

++++ All of the 12,288 MLB and NLB players qualifying for the system in an Excel file: ALPHA-ALL

+++ Excel file showing the 5,784 qualifiers who were primarily pitchers: ALPHA-ALL PITCHERS

+++ Excel file with 6,504 primarily “position player” qualifiers: ALPHA-ALL BY POS. (non-P)

++++ All qualifying players, ranked by career WAR (through 2018 season only; NLB-only players given full credit as if MLB WAR figures; players with both NLB and MLB WAR numbers simply have totals added together (Campanella, Doby, Paige, etc.); WAR totals of 100 or more may be rounded off (e.g., Walter Johnson = 164.3, Cy Young = 163.6, but both show a career WAR of 164); career WAR totals below zero are all denoted by “<0” without distinction/not ranked. This file available here: ALL by WAR

++++ By primary position AND then ranked by career WAR (note: the position of “IF” — for “infield” — designates those who were multi-positional infielders, all of whom logged some MLB/NLB game experience at the “master position” of shortstop (SS). For most purposes, IF=SS plus, and the two could be lumped together and ranked as well. Because Honus Wagner, probably the greatest all-around SS of all time, played several positions in the infield and outfield, he’s included in the IF group (at the very top, with a WAR of 130.8, rounded to 131). The file is ordered by scorekeeper position numbers (1 for P, 2 for C, 3 for 1B, 4 for 2B, 5 for 3B, 6 for SS, (IF comes next here), 7 for LF (or LRF for such corner OFs), 8 for CF (in this case, any outfielder who could handle any OF position, 7 through 9), and 9 for RF (or RLF for those corner outfielders who spent more time in RF than LF).

With regard to positioning, the governing assumptions here are that 1) A good MLB/NLB SS could man any IF position, and 2) A good MLB/NLB CF could man any OF position. We could add that many master infielders (SS or 2B) have performed very capably in the outfield, too; above-average athleticism and adaptability are the keys in this regard. This Excel file available here: ALPHA-ALL BY POS. and WAR

Some oh-by-the-way stats

  1.  7,195 of the 12,288 qualifying players had a career WAR of 1.0 or better (58.55%)
  2.  2,514 had a career WAR between 0.1 and 0.9 (20.46%)
  3.  262 (2.13%) were right at 0 WAR for their career
  4.  While 81.14% posted a career WAR of neutral or better, 18.86% found themselves  on the wrong side of zero (2,317 players, denoted by “<0”)
  5.  Even when we’re talking about “subpar” MLB/NLB players, these fellas did play the  game at a level this reporter could never have attained. If memory serves, I hit  .323  or so in Little League one year, but lest you find that even slightly impressive,  the league leader hit .700! A tip of the hat to my teammate, Steve Knop; un-fortunately, … we don’t have enough data to calculate his WAR. Or mine. [Ahem.]

This page updated 5/31/19. Check out the other pages site-wide as the updating continues.