Quote:
Originally Posted by clamel
Just a memo on my playresults on your old DB Gambo.
I take the Cards as an example and the starting year 1987.
Todd Zeile was already in the roster since he had some minor league years before he became a major. Unfortunately the stats you put on him was so great he was directly moved into the active roster. Thus creating sort of historical problems with Tony Pena and the next first catcher Tom Pagnozzi. Zeile wasn´t a catcher later on very much, but more replacing Terry Pendleton on 3B.
Many more players came into the majors very much earlier than historical much because overrated stats. This affects only players that had more than a couple of years in the minors. They just popped up directly in the active roster. That is a miss IMHO. No way to groom them for the future.
Another problems that might be just an opinion is that some BIG time players actually started their career in the minors in other clubs than they actually became stars and famous.
Just a feeling on this Gambo..... I can live with this since many trades in a dynasty will reck any history along the years.
Will any fixing with Neutralized stats fix the problem with these much to early players....
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I addressed this issue with number 3 in my post. But yes I do believe this was an issue. I made a few tweaks to take into account this but the problem is more with the generation of ratings and not the database. Players already existing in the league are recalculated, however, players who are created are not recalculated and are left with rating based purely on their initial import while the existing players are calculated. If you look at you league you will see that often "Zeile(s)" will play significantly when they are imported but then will decline and maybe not play in the majors for a couple of years.
I'm hoping the player evaluation tweaks Markus made improves this situation.
Here is a look at Zeiles basic stats from my DB. He was a career average .265 hitter (neutralized). In 1987 he should only be rated to hit .186. As I said it is more of a program than database issue. But I do hope it improves. I'll know better when I test it.
Average 139 489 130 = .265
1988 1 SLN NL 139 489 98 = .200
1987 1 SLN NL 139 489 91 = .186
1986 1 SLN NL 139 489 78 = .160