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Old 05-06-2015, 11:27 PM   #21
majesty95
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With development off and recalc on he should be pretty close to his real life self. Kind of the point...
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Old 05-06-2015, 11:31 PM   #22
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Quote:
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So if Nolan Ryan is a soft tossing pile of beef, you would be alright with that?
Do you really take a guy seriously who's signature is 10x longer than the average post?

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Old 05-07-2015, 08:27 AM   #23
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Very interesting. I have a question in regards to your statement about recalc and players that reached the end of the recalc years. So you're saying that when a player reaches the end, the game recalcs his final year over and over each season? So even with development on, guys will be brought back to their final season ratings? I guess what I'm asking is, the player is brought back each offseason to his final recalc ratings even if he takes OOTP development hits? I'm stunned by this if that's how it works.
Ping Sprague.....really hoping you can answer the above. Thanks
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Old 05-07-2015, 09:46 AM   #24
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What year did you start the season's in game? Was it retire by actual year, or AI decides when to retire players?

My speculation would be if you started in say 1966 (or whatever was Ryan's first year) and by actual retirement, his numbers will be better than say a game begun in 1940 with AI in control of the retirements (ie long careers for guys who never had them in real life)
Both started in 1966. I did not have retire due to history checked and gave up both leagues by 1982.
See more of it here,
http://www.ootpdevelopments.com/boar...olan-ryan.html
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Old 05-07-2015, 09:49 AM   #25
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Do you really take a guy seriously who's signature is 10x longer than the average post?

No comment.
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Old 05-07-2015, 01:01 PM   #26
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With development off and recalc on he should be pretty close to his real life self. Kind of the point...
The problem is if you don't retire historically the league totals don't adjust for more elite pitchers in the game if that occurs. Back to the example if an another elite K pitcher sticks on later than he should then there are more elite K pitchers to divide the Ks from the totals between. Since the game somehow changes probabilities to get overall stats right that means Ryan loses some Ks a year since the pool of elite pitchers is bigger but the number of Ks to hand out is the same.

More modern lets assume Carlos Hernandez who played for the Astros is your game. He only played 2 years for the Astros until he tore his shoulder sliding into second. He was good but lets assume he was elite. So instead of playing 2001 and 2002 he is playing up to 2015. He might affect Kershaw's numbers in 2014 because there is an extra high rated pitcher who shouldn't be there who has to take up a portion of the historical pitching stats. You get 10 Carlos Hernandez types and it could be a real problem.

That is the irony of the game. The ratings should reflect certain levels of performance but the league totals can stunt people's performance if they are too many players wtih very high ratings. For instance I had way too many feeders in a fictional league way back. My average hitter in the majors had a contact of 15 or 16. There guys were not hitting .300 plus but toward average because the hits total was spread out among them. So a 10 guy might hit below the Mendoza line in this league while a 16 guy was around .260.
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Old 05-07-2015, 01:29 PM   #27
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So the issue is figuring out how to get the game to retire guys somewhat logically without having to retire than just like the game. I've tried using the dev engine and still not liking the results. Ted Williams stays on for 3-4 years hitting around .250. Anyway to make guys want to retire when they start to suck? Lol
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Old 05-07-2015, 01:30 PM   #28
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No comment.
At least I contribute positively to threads
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Old 05-07-2015, 01:40 PM   #29
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History is general is so carefully strung together that if you go back to one battle or event and try to recreate it, it would never be completely the same. The ebbs and flows of any event can change anything. Each pitch changes history in OOTP so Nolan Ryan might have the joy of facing a Don Drysdale because the computer does not recognize that Don left the game at 32 or Don was not as good and some of the players he faced became better because Don has a few off games that he did not have in real life so down the road when a Manny Mota face Ryan later on in his career. And so on...
You get the idea, you can not recreate what has been done exactly, the odds of that happening or even coming remotely close are beyond rationale thought and the space/time continuum.

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Old 05-07-2015, 05:14 PM   #30
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I don't think anyone wants "exact" (even those who try to keep things as close to real life as possible). However, with development off the idea is to get players to perform as close to real life as possible (with some obvious variance).

The more we have discussed though, I think the problem (most likely) has to do with guys who never retired skewing the stats. However, that doesn't really explain why myself and The Game ran other tests and got his stats more in line with what one would expect using the same basic setup. I guess it could have just been a one-off year where several scrubs turned into stars and played much longer than normal which really threw the stats out of whack. Since we haven't been able to recreate it that probably serves as the most likely explanation...
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Old 05-07-2015, 05:17 PM   #31
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With that being said, I would think that recalc setups could be adjusted so that guys who played 2-3 seasons don't turn in 15-year All-Star careers and guys who had their careers ended early (like Clemente) don't keep playing at that last season's level for 10-15 more years...
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Old 05-07-2015, 05:40 PM   #32
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I don't think anyone wants "exact" (even those who try to keep things as close to real life as possible). However, with development off the idea is to get players to perform as close to real life as possible (with some obvious variance).

The more we have discussed though, I think the problem (most likely) has to do with guys who never retired skewing the stats. However, that doesn't really explain why myself and The Game ran other tests and got his stats more in line with what one would expect using the same basic setup. I guess it could have just been a one-off year where several scrubs turned into stars and played much longer than normal which really threw the stats out of whack. Since we haven't been able to recreate it that probably serves as the most likely explanation...
The explanation is the game is RNG. You can't recreate it again because you hit an extreme. You might be able to hit it again in XXXXX more tests Extremes are rare but they happen. Even with every setting set to most accurately mimic real life I doubt any player will every exactly match real life.
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Old 05-07-2015, 08:01 PM   #33
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