Quote:
Originally Posted by Sweed
Thanks for posting and adding screens in your other posts to "show your work". It's a lot easier to have a discussion, whether we agree or disagree with each other, when we are all on the same page and not guessing at the data.  |
Sweed, you are 100% right. I wanted to post data so that we could examine what is going on. I do feel after my test that the number of home runs in a season directly correlate to the top end guys in a league. The higher the season total, the more likely it is that the upper end guys have historical seasons. I wonder if that is because evidence from history is inclined to support this premise. Take the late 1990s and the early 2000s for example. When record numbers of home runs were hit, all of a sudden you have guys like McGwire going for 70, Bonds 73, and Sosa with a bunch of 60 home run seasons. I wonder if the game's distribution curve is modeled after historical data to replicate that.
On a side note, from my test, I have found that using the real stats for the 2022 season helps to keep the high end power guys from setting individual and career records. It seems the league leaders top out at the low 50's and some years end up in the mid-40s. The highest I saw was 57, which seems plausible. Since the stats are based off of the real life season, with approximately 5200 home runs being the current pace, I have finally found the setting that I am happiest with when playing out games.