My teams did a lot better than I thought. Tied for first in regular season wins! Surely some luck sprinkled in. I'm pretty new to this (about a year), and I'm sure most of you have forgotten more things about this game than I know, although I have definitely immersed myself in everything SImleague over the past 6 months. My first few teams last winter didn't make it to .500. I started doing better when I downloaded the data in late spring. I'm sure many (most?) of you have done the same.
The sortable and filterable collums are great for theme leagues. I didn't have any grand overarching strategies for any of the 6 leagues. Just tried to pick the best players available for the $$$. In most cases, I built two + teams in each league and had them square off in the sim matchup tool. This helped in every league except probably the 110 million team league, which was my favorite. I'd love to play it (and the Coors/MIle High draft league) again. I think that forcing the team to have 50% the payroll from the originals added a great touch to it. I may create a league like it soon. I'll probably lower the cap to 100 million. Call it the 50/50 league or some such.
The thing I tried to do (imperfectly) with my spreadsheet is create a single column that combined offense and defense (weighted for position). Obviously, I used the errors and +/- to do that. The shortcoming is that there is nothing about speed or SBs in my formula. That's about it. Nothing exciting. The pitching excel file is obviously more straightforward.
For the All-Star team, I thought there would be a lot of homers hit so I was looking for low HR/9# guys with a lot of IP that fit the budget, which is why I got Hubbel and Groves. My 60 million team is not worth talking about. In the Coors/Mile High league I was looking for batting average and low OAV and defense, just like the rest of you guys. I probably over-valued homers with picks like Pujols and JD Martinez (who absolutely annihilated the tired team but that was about it..)
11/30/2023 1:07 PM (edited)