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01-30-2019, 05:38 PM | #41 |
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01-30-2019, 05:39 PM | #42 | |
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It would be best to see how pronounced it is around the extremes, like comparing a 40 something rated Piazza to a 108 rated Bench. Last edited by zrog2000; 01-30-2019 at 05:41 PM. |
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01-30-2019, 05:40 PM | #43 |
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01-30-2019, 05:44 PM | #44 | |
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01-30-2019, 05:45 PM | #45 | |
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Seems like a card based on his 1997 season would be as near a perfect card for a catcher as you can find. His OPS+ for that season was the highest for a catcher I could find on BB reference. |
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01-30-2019, 05:49 PM | #46 |
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01-30-2019, 05:50 PM | #47 | |
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01-30-2019, 05:51 PM | #48 |
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01-30-2019, 05:53 PM | #49 | |
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01-30-2019, 06:00 PM | #50 | |
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But even playing for the same team, there's differences. Molina comes in as a defensive sub ~40 times a season, so there's probably 60-100 innings (of his ~500) per year that he's now catching a different quality pitcher than starting the game. Given my team, I'd think that should help him, but maybe not. Also, the fact that this is over 4 seasons with a much changed rotation, and through 3 different league levels. I'm not going to say it doesn't matter, because I've looked at the code and it does But how much it matters, that is very hard to quantify. |
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01-30-2019, 06:07 PM | #51 |
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01-30-2019, 06:08 PM | #52 |
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The question is does it matter enough to offset the runs lost with a poor offensive catcher like Tony Pena vs. someone like McCarver or Cochrane?
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01-30-2019, 06:14 PM | #53 |
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01-30-2019, 06:27 PM | #54 |
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The whale in my division has Cochrane with a perfect Campanella as his backup. Cochrane only has an 80 OPS+ for him. Good.
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01-30-2019, 06:29 PM | #55 | |
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01-30-2019, 06:35 PM | #56 |
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I recall reading somewhere that catching ability is a composite rating built off several different hidden values. If this is true, can we even assume that two equal catching ability ratings for two different cards would exert the same influence on CERA specifically?
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"And, Masters, do not forget to specify, when time and place shall serve, that I am an [censored]." (Much Ado About Nothing 5.1.255-256) Primary Team Collection Rewards (Cards & Packs) F2P Theme Team Movers F2P Theme and Adam Schlesinger Memorial Team Last edited by Dogberry99; 01-30-2019 at 06:36 PM. |
01-30-2019, 06:43 PM | #57 | |
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In real life 1997 Mike Piazza had a line of .362/.431/.638 with a OPS + of 185 IMO that is a 'perfect' card since that is the best offensive season by a catcher I could find that was not in the 19th century. But it does seem that even elite hitting catchers have a hard time getting an OPS+ of over 100 even down in the bronze leagues where I am still out. That Piazza card is not super expensive so I may purchase one and give it a try. I have tried many different catchers with dissaponting results. For a while I was using Grandel and his OPS+ was anywhere between 70-85 and downright unplayable. Now I am using Realmuto and while a bit closer to league average he is still up and down a lot. My best catcher has actually been the silver Sanzhez card I got in my starting packs. He is not a good catcher but in his backup role his one elite skill (HR power) and average other hitting skills make him pretty consistent at the bottom of the order. Last edited by rudel.dietrich; 01-30-2019 at 06:48 PM. |
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01-30-2019, 10:40 PM | #58 | |
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Yeah, I think if you're better off with a pitcher hitting, then you may look at replacing him. Though I'm the kind of guy who will let his players "play through" their slumps because I'm a firm believer in that the Random Number Gods are blind and have no memory. |
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01-30-2019, 10:43 PM | #59 |
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I value and rely on my pitching way too much to take a chance on a catcher without a high catcher ability. I figure I can afford to carry one weak bat.
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01-31-2019, 12:29 PM | #60 |
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I still think it would be nice to have the catcher ERA and other defensive stats exportable for the entire careers for all the players in your league, like the offensive stats are.
Of course there are many variables. All baseball stats are like that. That's exactly why we need larger datasets, to help separate the noise from the signal. I mean, everyone can edit their ballpark factors for home runs so a direct comparison between HR hitters is certainly unfair, no? But still, with a large enough sample of data, that all evens out and you will see a direct correlation between "POWER" (ratings) and SLG (results). I would bet money with a large enough sample, we would see a direct correlation between "catcher ability" and CERA as well. |
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