Well, I determined early on that there is zero chance that I can build all 700 team groupings, even if I rely solely on the player database spreadsheet. So my new strategy is to use the spreadsheet to rank all the pitchers & hitters (min PA/IP) within each league, then indicate the top X% (X varies) in each league, then count how many of the Top X% of players each team grouping has, include total salary of those players. Sum this up for each team and sort within each league.
Then using this list as a general guide, start building rosters from those groupings near the top. Obviously, this is far from perfect, since there is duplication of players (can only use one clone), as well as no accounting for the "max 10-players from the top-team" rule. Regardless, I start building roughly 10-15 rosters (in each league) from the top team groupings of this list, but often scrap the roster in mid-build, usually due to too many players from one team. I end up with only about 5-6 rosters per league. I am almost through League #4. Hoping to get one league done per day.
Of course, once those 5-6 team groupings are selected from any specific league, I will need to do more roster building, but at least I have a starting point, especially for league selection for the top 30 overall round 1 teams. I will certainly miss some good options, especially if their team's total salary doesn't rank high, but maybe there is little duplication and their players fit together more perfectly. The top teams typically have the expensive studs, but the really bad teams have very little to offer. There may be better choices of team groupings that are more balanced (i.e., 8th/9th grouping may be a better option than 1st/16th).
This was a really cool theme idea than juice came up with.
12/13/2022 3:36 PM (edited)