Quote:
Originally Posted by Eumel
Just to make sure:
Is it known that AI evaluation settings also affect the player's decisions when signing extensions? For some reason I always though they only applied to the way the AI manages teams.
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From the manual.
"These options control how the game's artificial intelligence evaluates players.
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In OOTP 10, the computer considers both a player's ratings and his statistical performance over the past 3 years when evaluating players. By changing the values here, you can adjust the formula the computer uses to evaluate players.
I assume it does AI evaluation does affect how much teams will offer a player. "
I does not say that it affects contracts. However, I would think that AI evaluation should have an effect on what the computer offers for a player. I can not confirm this though. If that is true then player demands should be a function of average salary in the league and the player's evaluation of himself. So ratings and performance should have an impact on demand.
I am not sure that player demands work like initial contracts but I have a suspicion they might. From the manual.
"To calculate initial contracts, the league calculates the average player quality at each position. Then it compares each player to that baseline, and based on the difference assigns a contract that is based on the salary steps (above average, good, star, and so on) in the
league financial rules. Also factored in are
service time (which is generated randomly), age, and a certain amount of randomness.
Arbitration-eligible players get less money, and players who are eligible for the league minimum get that amount.
Warning! Due to the flexibility of the financial model, player contracts might be structured differently from what is written here, depending on which financial options are enabled.:"
So if player demands are similar to this then AI evaluation would affect the demand. It would affect where players stand in the step system. So if a player's average quality declines then he would demand less. That still leaves an open question as to how average quality is calculated. Hopefully, this gives some insight but I could be grasping at straws here because there is little documentation, in the manual on how this works.
So I guess that is the next question where are the player's stats and ratings rankings as compared to the league. If you have actual stats turned on for overall evaluation then you can easily see if the player is a star or slightly above average, according to ratings if you use the 20 to 80 ranking scale and have compare overall rating by position turned on. It is a lot harder to tell if stars are on. Some 5 stars are superstars and some are a tier below and really close to be being 4 stars. Just as some 3 stars are close to 4 stars and some close to 2 stars.