player creation - it's good to be a batter

[NoOne]

what i noticed about Ratings compared to 2015 players:

batters - significantly better, beyond a doubt (excluding contact).

Starters - there seems to be ~50% more 51+ starters available (not enough to offset the offensive juggernauts created

relievers - there seems to be ~50% less 61+ relievers.

so you end up with +12% 2b, +16-20% hr , -9% 3b, -30% k's, and +6% bb.

all this amounts to a 4.60-4.90ish ERA and a .260-.280ish avg. with league total modifiers i found to match current 2015 players to recent performance. they are very similar to the default and they only account for a small portion of the increase. in fact i have higher k mod and lower bb rate by nearly +/-.060ish on both mods. and it doesn't slow it down much.

the walks, k's would be exagerrated quite a bit more with default settings.


i've simmed out to 2040 on 2 different occasions and both times had similar results. this time i noted how many players relative to some important ratings.

(the screenshots are in a zip if you want to look at the players that fit on first page. you may need to rename and fix the extension: .zip, .z01, .z02, .z03 instead of the "parts." this forum has some odd file restrictions lol.)


2015, number of players with 61+ rating:
Contact ----- 65
Gap Power - 63
Power ------- 87
Eye ----------- 68
K's ------------ 43

51+ SP ------ 59
61+ RP ------ 81

2040, Batting, 61+ Rating:

Contact - 62 ---------- -3 players
Gap Power - 134 ---- +71 players
Power - 177 ----------- +90 players
Eye - 175 ---------------+107 players
K's - 191 -----------------+148

51+ SP - 94 ------------+35
61+ RP - 41 ------------ -40

[NoOne]

this continued for 2050, 2060, 2070 - roughly the same proportions of the ratings.

2050, Batting, 61+ Rating:
Contact - 79
Gap Power - 153
Power - 216
Eye - 176
K's - 230
51+ SP - 87
61+ RP - 54
*******************
2060, Batting, 61+ Rating:
Contact - 81
Gap Power - 150
Power - 199
Eye - 187
K's - 227
51+ SP - 95
61+ RP - 46

so, has anyone worked with player creation mods to make them a little more realisted than a league full of players that hit 6000 home runs and 9000+ doubles every year?

i want it to fluctuate as player creation does its thing. i don't want to use the "adjust each year" because that's really not much different than forcing the game engine match totals (whatever that other option says, you get idea).

any experiences or anecdotes would be appreciated. i'd like to cut my learning curve down a bit before delving into it. it takes quite a while to sim 20-50years - i'd rather do it once than many times.

like if i drop from 1.000 to 0.900 power what can i expect? how does it affect distribution. evenly? more so with top end? any tip/concept would be appreciated.

[RchW]

Originally Posted by NoOne

so, has anyone worked with player creation mods to make them a little more realisted than a league full of players that hit 6000 home runs and 9000+ doubles every year?

I haven't touched PC settings at all. The reason; I haven't seen the offensive explosion you see. I have two main leagues with 65 and 90 seasons, one in v8 and the other v10 or v11. I set them up with different MLB "looks" or stat output for want of a better word. Before Autocalc I manually adjusted league total modifiers to get what I wanted. More below.

Originally Posted by NoOne

i want it to fluctuate as player creation does its thing. i don't want to use the "adjust each year" because that's really not much different than forcing the game engine match totals (whatever that other option says, you get idea).

Correct me if I'm wrong but isn't that what you're getting by not adjusting stat output? The offensive growth you see is likely a response to complaints from me and other old timers several years back that player creation/development dropped off or stagnated too much. The result was that batting and pitching records were set in the first 10 seasons or so and never surpassed. In my 90 season league (dormant for 2/3 versions) I'm seeing more new players climb the all time leaderboards. This is a good thing. This is what we wanted. Additionally one can use these adjustments to create mini eras like high SB and more CG or HR.

Originally Posted by NoOne

any experiences or anecdotes would be appreciated. i'd like to cut my learning curve down a bit before delving into it. it takes quite a while to sim 20-50years - i'd rather do it once than many times.

You probably know more than me. You could play it 50-50. Take the PC mods that you think are too high and cut back by 1/3 to 1/2 then use LTM or actual LT to fine tune your stat output.

It's hard for me to say because I'm happy with the status quo. One caveat; I see significant differences in v16 (small sample) and may have to interfere more than usual. It might take me until v17 is released.

Originally Posted by NoOne

like if i drop from 1.000 to 0.900 power what can i expect? how does it affect distribution. evenly? more so with top end? any tip/concept would be appreciated.

Speaking with no special knowledge, I would normally assume even distribution, however I have made the case several times that OOTP needs to push distribution of talent to widen the gap in stat output. The distribution of certain stats like HR and SB (others too) look good on the totals but don't always show that the best players are better by a larger margin.

I suspect that v16 may be trending in that direction. Not enough data yet.

I hope this makes sense. Learn to love LTM adjustments and autocalc a little more. However once you do you will find that you can still do a better job with certain outputs manually. That can be a chore.

[NoOne]

thanks for the reply.

yeah, there are fluctuations, but its average is way too high, and it's not going away.

that's why i posted those pics. players arent just slightly better than 2015 they are WAY better - and not just for a short time. the distribution is out of whack with above average players. just take a peak at the power pictures from the first post (there are 14 images, so i archived them). the lil summaries i wrote describe it well too. the whole first page is 77+ power. and there are 20 81+ guys. this isn't just a temporary influx of power. it remains consistently this way.

we are talking about 100 or so extra players each year with above average power (61+). that's an extra 3 guys per team hitting 25-35+ home runs relative to what you see in 2015.

K's are an even more exagerrated issue. once you get out far enough it hovers around 225-230 extra players relative to 2015 with an avoid k rating of 61+.

i believe 2013-2015 is a downward swoon in offense. i'd set it up as not the minimum but toward the minimum. so, i do expect an uptick and will make it do that. just not quite this much.

i do have normal scouting on with ai eval on (35-35-20-10), since it has a significant affect on statistical output - settings match my LTM thread. the numbers support the ratings even if some are off a bit.

and definitely check back on my other thread, if you experience the same explosion in offense in ootp '16. i'll be adding to that until i have things perfect for me - which will then be easy for others to make minor adjustments to make it perfect for them. i have no problem using other people's ideas to accomplish what i want. please add all the knowledge you want from your potential experimentation. i'm pretty sure you will experience the same phenomenom.

i don't change the totals because that's a bad bad idea - i read that in the forums then continued to find out on my own, LoL. trying to avoid that same problem this time. i think those are more about the ratios and affects the game engine in additional ways than just output from what i read. the LTM affects statistical output more easily.

quote:"Speaking with no special knowledge, I would normally assume even distribution, however I have made the case several times that OOTP needs to push distribution of talent to widen the gap in stat output. The distribution of certain stats like HR and SB (others too) look good on the totals but don't always show that the best players are better by a larger margin."

yeah, check out my LTM. i think i've created a better spread. i think using a mix of ratings and statistics makes this work better. since the ai will make worse decisions (fact), some better rated players will lose playing time to lesser players due to luck (better short-term stats). due to this, LTM must be increased to match real-life totals. so, the best players get the greatest benefit from increased LTM, since they are less likely to lose playing time to lesser players.

notes on attachment: i have hr a bit higher than what is 'expected' on this report. so, that particular column is off by 20-some, not 30-some. everything else should be about what the program expects to be a real-life total. blips from temporary influx of talent can be seen here - no problem with that except for the average it floats around. i don't know how many years of pre-made amateurs are included for the draft before PCM takes over. so, 2035 may not be out far enough.