Parsing Agility?

[fadetree]

Originally Posted by magnetaress [You must be logged in to view images. Log in or Register.]

so in true EQ fashion gear and stats makes less difference then levels and the standard devation requires a very large parse...

if agi saves u 1 dmg it will take 300,000 hits at lvl 1

need a /tesbuff server, and I wouldn't really have a super ton of faith in the combat code on p99 tho it 'feels' OK ish

maybe you just have statistically really bad luck or your quantum feels towards dwarves make your /rolls biased, it is quite possible

also parry, block, dodge, and riposte per the wiki don't use agi for anything they are flat skill checks, that is why monks have straight up better avoidance than any other classic class, with rogues coming in next on avoidance.

warriors and knights have the highest mitigation

warriors and knights get the most benifit from AC, monks, rogues, and rangers get OK benifit from AC and AGI helps them more then max AC because their AC is capped in the system

basically how it works, always worked, and I am pretty sure how Nilbog made it if you can bother parsing a 60 monk vs war vs rogue

even cons always ploued thru peoples ac/mitigation, u should test a mob that is dark blue, 4 lvls below u and see what the difference is when u add and subtract ac or agi as they will not bound out of the lower ranges of your mitigation then, essentially making combat code meaningless, because the nuance is not calculated when the mob just max hits regularly

They wouldn't be generally testing how AC works, just how AGI affects avoidance. It's all good to keep in mind though. Testbuff servers and the like are not available. How the wiki and everything else says it works does not matter, we can just get data from the parse. I agree it might be handled differently for individual classes...but we are trying to answer the question - does AGI have any real effect on anything? It's a good point though, should probably test with melee rather than caster because that's the class type that is interested in AGI and also where you would expect it to have the most effect.