just what we dont need, yet another way to 'measure' qbs and 'rank' them.
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Have you tested all the inputs for if the normal distribution is reasonable? I would think for some of them it would be, but for others you might have a longer tail on the up side (the elite QBs are better than the bad QBs are bad) which might explain why your final scores seem to be skewed.
Yeah, each metric should be tested for normality. If non-normal, you need a fit that you can essentially correct things to being effectively normal (can use quantiles to create z-scores). Then each metric should be comparable. Once all are comparable, you can add a weighting factor depending on importance to generate your final QB score. Final score should have a normal distribution (can be converted at this point into some easier-to-digest number though, like quantiles, to give a percentage from 0-100)
My QB isn't 1st so I don't like this method
There’s already a stat that does what you’re saying. It’s called RATE+.
Mobile QBs are a thing; your only stat that even remotely reflects that is pct sacks.
Desmond Ridder is higher than I thought he’d be
Ffs Tua. Calm down.
I knew it.
Jared Goff > Patrick Mahomes
Any metrics including offensive line performance? No? Okay, irrelevant.
Any ranking that has Hurts at 10 for 2022 is flawed. Guy was untouchable. Top 3 minimum.