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actionjackson · 10-01-2020, 03:10 PM

I'm not going to minimize this because that would be an assholish thing to do, but this may be a cosmetic issue rather than a broken game issue. I'm seeing something similar in my OOTP21 game in terms of a ton of neutral/flyball/extreme fly ball pitchers, and single digit ground ball pitchers, however when I sort by Movement (better Movement = fewer HR), I have zero pitchers rated as 1s (on a 1-5 rating scale). There are a few fives, and more than half are at 3 and up (average to above average Movement), which suggests to me that there may in fact be more groundball pitchers than neutral/fly/extreme fly ball pitchers in this inaugural draft class (704 players, about 200+ are pitchers). The only way to figure it out is to try out a test season, and see if the stats line up with where they should be. Another thing you can do is tailor the stats output to an MLB year that featured the kind of stats output you want to see. I use 1984 stats output for all my games, and it hits the sweet spot for me. Sort of in the middle between deadball, and crazyball.

See this thread, and more specifically this post for information on how to do this, and come very close to what you're looking for regardless of what types of pitchers are in your game. I got very good results using this method in OOTPXX, which is one iteration beyond where you're at in OOTP19. Just quickly scanned through my pitchers, and in my entire game, there's a grand total of 4 groundball pitchers, and two extreme groundball pitchers in a 16 team league (8 teams per sub-league), so these are similar ratios to what you're seeing in your OOTP19 league. As this feature is not functioning optimally (to put it mildly), I would suggest looking for pitchers with strong Movement ratings if you want more ground ballers on your staff. Whatever the case may be, I can tell you that your league wide stats output shouldn't be affected by this feature, which appears to have been around for at least three versions now.

Just for comparison's sake:

1984 RL: 4.26 R/G, .043 2B/AB, .007 3B/AB, .023 HR/AB, 66.74 SB%, .083 BB/PA, .156 K/AB (not sure why OOTP uses BB/PA, and K/AB, but since it does, that's what I do as well), .260/.323/.385/.708, 3.81 ERA, 15.02 CG%, 1.34 WHIP, 8.9 H/9, 0.8 HR/9, 3.2 BB/9, 5.4 K/9, 1.69 K/BB, .286 BABIP, .699 DEF, .978 FLD%

1902 OOTP (based on 1984 stats output): 4.33 R/G, .045 2B/AB, .007 3B/AB, .022 HR/AB, 68.11 SB%, .084 BB/PA, .160 K/AB, .258/.321/.382/.703, 3.95 ERA, 17.09 CG%, 1.34 WHIP, 8.9 H/9, 0.8 HR/9, 3.2 BB/9, 5.5 K/9, 1.74 K/BB, .286 BABIP, .698 DEF, .981 FLD%

That's probably as good as it gets, as far as getting the kind of stats output I want to see in my game. The CG% is a bit high, but this is a historical random debut, and there are 19th century pitchers in it. Those guys didn't get the luxury of solid bullpens, so they tend to go deep. That those numbers are reasonably close together suggests the method is working.

So, why do I focus on the league wide numbers so much? Because, if you get them right, the individual players should perform close to where you want them to be. Any questions? Fire away, 'cause it's complicated.

10-01-2020, 03:10 PM	#5
actionjackson Hall Of Famer Join Date: Apr 2009 Location: Toronto, ON Posts: 6,179	I'm not going to minimize this because that would be an assholish thing to do, but this may be a cosmetic issue rather than a broken game issue. I'm seeing something similar in my OOTP21 game in terms of a ton of neutral/flyball/extreme fly ball pitchers, and single digit ground ball pitchers, however when I sort by Movement (better Movement = fewer HR), I have zero pitchers rated as 1s (on a 1-5 rating scale). There are a few fives, and more than half are at 3 and up (average to above average Movement), which suggests to me that there may in fact be more groundball pitchers than neutral/fly/extreme fly ball pitchers in this inaugural draft class (704 players, about 200+ are pitchers). The only way to figure it out is to try out a test season, and see if the stats line up with where they should be. Another thing you can do is tailor the stats output to an MLB year that featured the kind of stats output you want to see. I use 1984 stats output for all my games, and it hits the sweet spot for me. Sort of in the middle between deadball, and crazyball. See this thread, and more specifically this post for information on how to do this, and come very close to what you're looking for regardless of what types of pitchers are in your game. I got very good results using this method in OOTPXX, which is one iteration beyond where you're at in OOTP19. Just quickly scanned through my pitchers, and in my entire game, there's a grand total of 4 groundball pitchers, and two extreme groundball pitchers in a 16 team league (8 teams per sub-league), so these are similar ratios to what you're seeing in your OOTP19 league. As this feature is not functioning optimally (to put it mildly), I would suggest looking for pitchers with strong Movement ratings if you want more ground ballers on your staff. Whatever the case may be, I can tell you that your league wide stats output shouldn't be affected by this feature, which appears to have been around for at least three versions now. Just for comparison's sake: 1984 RL: 4.26 R/G, .043 2B/AB, .007 3B/AB, .023 HR/AB, 66.74 SB%, .083 BB/PA, .156 K/AB (not sure why OOTP uses BB/PA, and K/AB, but since it does, that's what I do as well), .260/.323/.385/.708, 3.81 ERA, 15.02 CG%, 1.34 WHIP, 8.9 H/9, 0.8 HR/9, 3.2 BB/9, 5.4 K/9, 1.69 K/BB, .286 BABIP, .699 DEF, .978 FLD% 1902 OOTP (based on 1984 stats output): 4.33 R/G, .045 2B/AB, .007 3B/AB, .022 HR/AB, 68.11 SB%, .084 BB/PA, .160 K/AB, .258/.321/.382/.703, 3.95 ERA, 17.09 CG%, 1.34 WHIP, 8.9 H/9, 0.8 HR/9, 3.2 BB/9, 5.5 K/9, 1.74 K/BB, .286 BABIP, .698 DEF, .981 FLD% That's probably as good as it gets, as far as getting the kind of stats output I want to see in my game. The CG% is a bit high, but this is a historical random debut, and there are 19th century pitchers in it. Those guys didn't get the luxury of solid bullpens, so they tend to go deep. That those numbers are reasonably close together suggests the method is working. So, why do I focus on the league wide numbers so much? Because, if you get them right, the individual players should perform close to where you want them to be. Any questions? Fire away, 'cause it's complicated. Last edited by actionjackson; 10-01-2020 at 03:12 PM.