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#21 (permalink) | |
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Quote:
This is something I posted in the beta forums regarding K's for pitchers. It's the same methodology Tango uses with adjacent pitching years (1 being the peak year). The only difference we have here is that for OOTP, I only used pitchers with greater than 60 IP (and I use the stuff rating while Tango uses the real thing). The n variable is the number of players tested over a 100 year test league (first 20 years being skipped). From all of my findings based on Tango tests, the stuff falloff (league-wide, of course... I'm sure outliers abound) is actually not steep enough. Those tests do, obviously, stop at age 40, but if you use Tango as a baseline, from about age 31, stuff ratings don't fall fast enough (but aren't too bad). Not saying I'm right and you're wrong, I'm just curious as to why we may have opposite results.
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#22 (permalink) |
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Interesting work, Neags. I'm not sure of all your methodology at its detail, but the thought sounds right enough. Not sure you really need to drop the < 60 IP players, you're really just trying to measure human beings, and the more the merrier. I'm running the same scripts I ran in beta last year. And I'll say that every test league I run shows pitcher's careers on the whole following the path that says K's fade quickly after age 37 when on default settings.
I've been doing more work on some AI settings that is looking positive. |
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#23 (permalink) |
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I forget why we dropped the guys with less than 60 IP. Injury Log's suggestion and guidance led me to do so. I'm sure there was a good reason, even if I can't remember (the beta process really takes a toll on your brain).
What baseline are you using for comparisons that show stuff is falling too fast?
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GM Washburn Sea Wolves Dog Days Baseball 1981 Kennel Cup Champions! GM Shreveport Sports SOBL Download my newest utility, ScoutingTracker! Development tracking for leagues that use scouting! And yes, there are graphs... Try out my Development Tracker... it's got graphs! and... stuff... Check out TeamRater Lite 1.2.2! No graphs, but it's got stuff, too! |
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#24 (permalink) | |
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#25 (permalink) | |
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Then for each test league I create a ratings chain for each player in each ability. Then I average those chains for all major leaguers and for all players in the universe. I've presented those two groups. I tried to describe that in my paper, though I probably screwed it up somewhere. ![]() I'm finding it hard to get many HoF pitchers, BTW. And when I pull up the stats page in game of pitchers with long careers, I don't generally need to have the ages next to the stats line to determine when the pitcher turned 38. So everything I see in every league I run says that pitcher's K-rates fall off too hard after age 38. Last edited by RonCo; 06-29-2008 at 09:32 PM. |
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#26 (permalink) | |
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#27 (permalink) |
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Scouting on or off? I'd like to try playing with scouts on, which is why I fear going that high on ratings.
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#29 (permalink) |
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I still see a pitcher's Ks falling too fast after 37-38, but at either of these AI settings, GMs aren't letting most of them pitch out into their 44-45 yo seasons. The 60/30/8/2 numbers are a little better, though...I think. Improves average career length another tenth of a year or so, too.
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#30 (permalink) |
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Well, I'll run a 100-year test overnight to see how 60-30-8-2 looks.
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#31 (permalink) |
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On the other hand, I think the MLB HoF consists of about 40% pitchers. My test leagues are routinely hitter-dominated...this last one is 52 hitters, 14 pitchers, or 21% pitchers. Some of this could be the criteria, I suppose (which is default), but I'm guessing that not enough pitchers are playing long careers because they lose their Ks too quickly. Just guessing, of course, but usually when things line up like this there's fire with the smoke.
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#32 (permalink) |
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RonCo, your effort here is tremendous. Are these settings appropriate for historical fictional sims (historical simming with era-based settings, fictional players)?
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#34 (permalink) | |
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I've not done any testing with historicals on these settings, but it seems logical to me that they would help any league that wants proper age peaks. If I get a chance next weekend I may play with historical/fictionals a little just to see. |
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#35 (permalink) | |
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#36 (permalink) | |
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Major Leagues
Join Date: Jan 2002
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Quote:
It certainly seems like a big part of this problem is the AI's proclivity to continue to give these guys innings, which can be marginally improved with the AI settings. |
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#38 (permalink) |
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Sub-5.00 ERAs are not really "finds", but if the league average ERA is 4.70-4.90 or so (semi-modern-era AL numbers, and structured like my test league was), a 4.85 is not a terrible pitcher, and can be considered successful, especially if he's a starter.
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#39 (permalink) | |
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Major Leagues
Join Date: Jan 2002
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It also seems that with development speeds halved, that the AI may be forced to play some of these God-awful older players in the absence of good young talent coming up through the ranks as fast as normal. This seems problematic on the face of it to me. Are any of my assumptions above logical? I assume these aggressive settings were put in place because players were peaking too soon and/or playing too long...Is that correct? Last edited by NomarHits400; 06-30-2008 at 10:46 AM. |
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LinkBack to this Thread: http://www.ootpdevelopments.com/board/ootp-9-general-discussions/167923-proposed-fictional-league-dev-aging-modifiers.html
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| Alright Boyz, Here We Go!!!! (OOTP9 First Impressions...) - Page 10 - Front Office Football Central | This thread | Refback | 06-29-2008 10:33 PM | |