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VanillaGorilla · 12-20-2012, 05:42 PM

209 players are in the Hall of Fame. 52 of them entered in their first year of eligibility. An additional 10 players were inducted on the First Ballot Screening that did not get screened on their first year of eligibility.

I did a weighted random determination for settings. Middle settings were more likely to be used than extreme ones. I did not randomly choose to use a recalc or player development. I used both of these by design. I also left player dev/aging rates at the default of 1.0.

Settings I used:

Started in 1879
Luxury Tax
Recalc of 5 years
Neutralized Stats
Potential Ratings on recalc period
Rookie Fielding ratings based on career
Pitcher Stamina based on 3 years
Scouting: Low
Lineups: Traditional
AI Trade: Low
Trade Difficulty: Easy
Trade Preference: Heavilly Favor Veterans
Suspensions: High
Injury: Very Low
Delayed Diagnosis of Injury
Fatigue: Low

AI Player Eval: 20/55/20/5

The injury and fatigue settings in use are probably responsible for the high career totals in the HR (and other) categories. The point of the exercise was not to recreate history, but to use this altered history for a HOF induction method that works based on relative performance to the league itself, whatever settings are in use.

How much impact the Heavily Favor Veterans setting had on keeping guys around longer, I don't know. I do know my magic numbers of 3500, 550, 350, 3500 are all evidence of this combination of settings resulting in longer and more productive careers than seen IRL.

12-20-2012, 05:42 PM	#133
VanillaGorilla All Star Starter Join Date: Dec 2011 Posts: 1,371	First Ballot Entries and Settings 209 players are in the Hall of Fame. 52 of them entered in their first year of eligibility. An additional 10 players were inducted on the First Ballot Screening that did not get screened on their first year of eligibility. I did a weighted random determination for settings. Middle settings were more likely to be used than extreme ones. I did not randomly choose to use a recalc or player development. I used both of these by design. I also left player dev/aging rates at the default of 1.0. Settings I used: Started in 1879 Luxury Tax Recalc of 5 years Neutralized Stats Potential Ratings on recalc period Rookie Fielding ratings based on career Pitcher Stamina based on 3 years Scouting: Low Lineups: Traditional AI Trade: Low Trade Difficulty: Easy Trade Preference: Heavilly Favor Veterans Suspensions: High Injury: Very Low Delayed Diagnosis of Injury Fatigue: Low AI Player Eval: 20/55/20/5 The injury and fatigue settings in use are probably responsible for the high career totals in the HR (and other) categories. The point of the exercise was not to recreate history, but to use this altered history for a HOF induction method that works based on relative performance to the league itself, whatever settings are in use. How much impact the Heavily Favor Veterans setting had on keeping guys around longer, I don't know. I do know my magic numbers of 3500, 550, 350, 3500 are all evidence of this combination of settings resulting in longer and more productive careers than seen IRL.