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el_habes · 05-20-2017, 09:58 AM

I'm playing through a standard 2017 MLB season (currently in mid-May in game), and I've noticed that especially in my minor league affiliates, the pitchers' BABIPs are really high. For example, on my AAA affiliate, just 4 of 14 pitchers have a BABIP below .300 and 3 have a BABIP above .400. My AA team has 10 pitchers with a BABIP above .300 (and again, with many more much higher). The trend continues with my single-A teams as well. The result is that my minor pitching staff ERAs are sky-high, despite some better peripheral numbers like strikeout and walk rates.

On a possibly related note, I called up a AAA starter to make a spot start for an injured SP, and noticed that despite having a velocity range of 91-93, he was sitting mid-80s all start long (needless to say, he got shelled).

I've never messed with any of the sliders or coefficients that would affect anything like this - it's a standard start-up. I do cap pitch counts for my minor league starters. Is there any setting or anything to do with the coaching staff that might affect this? Or should I ride it out and let the regression gods do their work?

05-20-2017, 09:58 AM	#1
el_habes Minors (Rookie Ball) Join Date: Jun 2014 Posts: 23	Super High BABIPs? I'm playing through a standard 2017 MLB season (currently in mid-May in game), and I've noticed that especially in my minor league affiliates, the pitchers' BABIPs are really high. For example, on my AAA affiliate, just 4 of 14 pitchers have a BABIP below .300 and 3 have a BABIP above .400. My AA team has 10 pitchers with a BABIP above .300 (and again, with many more much higher). The trend continues with my single-A teams as well. The result is that my minor pitching staff ERAs are sky-high, despite some better peripheral numbers like strikeout and walk rates. On a possibly related note, I called up a AAA starter to make a spot start for an injured SP, and noticed that despite having a velocity range of 91-93, he was sitting mid-80s all start long (needless to say, he got shelled). I've never messed with any of the sliders or coefficients that would affect anything like this - it's a standard start-up. I do cap pitch counts for my minor league starters. Is there any setting or anything to do with the coaching staff that might affect this? Or should I ride it out and let the regression gods do their work?