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- #81
Broncosballer32
Well-Known Member
You continue to put your head in the sand and ignore that there are stats that do in fact adjust for era. Even if you didn't have the adjusted stats, what you do is do a side-by-side comparison of the player's OBP (or SLG or OPS or AVG) and compare it to the league average. The player who exceeds the league average to the greater degree is the better player as it relates to that statistic.
This all seems pretty basic to me, yet it clearly eludes you. So you're either willfully ignoring it to suit your argument, or you're dumber than a sack of hammers.
Yeah, seems to me you still not get it. I know, the fact the top 15 OBP of all time, all but ONE were from a time when it was not uncommon to see a hitter bat over .400.
Hey, what is your best explanation as to why no one has hit over .400 since 1941? Give me your best explanation.
Also, as I said the OBP is not the end all and be all of all statistical analysis. There are factors that you yourself choose to ignore.
Out of the top 15 all time for OBP, how many would be in the top 15 if they played the majority of their career in the second dead ball era? BTW, during the first dead ball era, it was fairly common for a hitter to hit over.400.
Being that during the "second dead ball era" all numbers were down across the board for virtually a decade, from HRs to RBI to batting average, it was more than just the pitchers being great. Even though they were, they certainly had help on behalf of baseball. Most experts believe the actual SECOND DEAD BALL ERA ended in 1977.
You honestly do not take that into account? Considering that most every hitter in the top 15 (including Bonds) hit during periods of time that were the most hitter friendly condition in baseball history. You do not consider any of those things in the equation?
I consider the eras, and I believe that factor is that crucial. There is no way to ever know how those hitters that are in the top 15 for OBP would have done during this period. You don't. I don't. Period.
Plus there are other factors that statistics cannot show.