Refactor update pass quality #481
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| However, what if a pass comes from a 'bad' passer? Or what if the pass is from a 'great' passer, but external factors | ||
| (such as the pass being contested) make the pass less effective? We will set the lower bound to -2.5% for now, and 4% for the upper bound. |
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Do we actually need to consider this? Obviously that's how it happens IRL, but when you're just looking at text play-by-play you're never going to notice if this pass gave a 4% bonus but the next one gave a 2% bonus. You would only maybe slightly notice the bonus in overall season stats and team performance being slightly better. But that'd look the same as if both passes had a 3% bonus.
For stuff like that, where it's something realistic but not noticeable in the game, I tend towards just leaving it out of the simulation. Makes things faster and simpler!
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Okay! took your suggestions here and removed some of the complexity for this function. Now its just a flat -0.015 - 0.03, with the passingAtr divided by 5000, so that a 100 passAtr would give 2%, 50 would be 1%, and this is added onto the random number generated between the range
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I am skeptical we even need the random number. Nobody will notice that either. Just make it scale compositeRating.passing between those limits. Then the only thing to do would be testing to make sure it didn't change stats too much, but I can do that.
Besides this, do you think this is done? I should proceed with testing?
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Yup, id classify this as done! I scale it now between the limits. I think the only thing that needs to be checked is if this somehow makes the shot prob negative or positive
| /* | ||
| We want the % chance for better shot to be a higher number, as there are ~ 1.5-2 AST/TOV ratio for NBA teams | ||
| https://www.basketball-reference.com/leagues/NBA_2025.html#per_game-team | ||
| */ |
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Can you replace this comment with a quick explanation (doesn't have to be any longer than what you have already) about the effect of pass quality on FG%, including some source ideally? On Discord you linked to https://www.nba.com/stats/players/passing?dir=D&sort=POTENTIAL_AST but like where are you getting the (-0.015, 0.03) range from?
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Originally I only did a few players on this list and it averaged to about a 4% increase, but as I did more on the list, it jumps up to about 7%. I don't know if 7% seems like a bit too high of a number? And the -0.015, that isn't as easy of a percentage to calculate since this same calculation won't hold with worse passers, since the sample size would be lower
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Okay I see. What is league average, can you do that? Or per team average, does it vary much?
I'll have to do some testing to see, but it could be that we also need to decrease the FG% for non-assisted shots to compensate.
| const upperBound = 0.03; | ||
| const lowerBound = -0.015; |
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In a random players league, since ratings don't go all the way from all 0s to all 100s, the actual min/max passing composite rating results in output values of like (0.005, 0.02). So if (-0.015, 0.03) are derived roughly from the current NBA, the absolute limits here should be wider because current NBA players do not correspond with all 0 ratings or all 100 ratings in BBGM.
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Right, I widened the ranged to go from (-0.015,0.08), but this could break things a bit
update pass quality. notes r in the commit, ill take them out later