![]() ![]() Mosin gets FP/ROF boosts depending on how and when she kills them. NTW needs to kill enemies with each skill shot to chain them. Simulators cannot assign any sort of generally applicable value to this. This obviously can vary wildly by encounter, and even throughout the fight against mixed groups. GIRLS FRONTLINE UMP45 MOD4 MODG11 mod gains damage based on the max HP of what she shoots. How helpful damage charts are here should be rather obvious. If they successfully take out that target.The utility of skillshots is highly dependent on two factors: Targeting matters, and theoretical damage numbers don't tell you about this. Liu's targeting modes can significantly change your results, despite having similar on-paper DPS.ĪRSMG teams tend to suffer against Guard/Jaeger comps as the Jaegers have plenty of time to rip your SMGs apart. They clearly matter, however - AUG tends to do better than Angelica (pre-chip) from her random spray, despite a theoretical DPS disadvantage. When shooting a single infinite-health dummy, there's hardly a way to distinguish different targeting types. Kiting pattern variations, hitbox spaghetti, varying enemy ranges and starting positions, and so much more mean the number of enemies pierced each fight is only discoverable through observation and testing. It is completely impossible for damage simulators to ever give you even vaguely accurate numbers corresponding to the performance of dolls with piercing skills: Type88 mod, 4 Shiki, Kord, and so on. This is one of the larger sources of error that cause damage simulators to assign bigger numbers to 2AR1HG backlines over 3AR ones, despite the latter typically performing better in actual combat.ĭoes the left echelon look like a good team? Is it twice as good as the right echelon? Will 4 Shiki deal double M14's damage? Do those numbers even mean anything? Piercing (And how much is the damage sim helping you if you need to carefully check the mechanics of each individual fight to configure it?) They might offer you a toggle box to choose between that effect and the damage amp option, but in many cases the result isn't guaranteed. Incidentally, as her grenade will always kill anything it hits in that example, we know her second skill will trigger a secondary explosion.ĭamage simulators, again, don't know this. Her grenade will deal on average 1776 damage per link, already massively overkilling whatever it does hit.īut damage simulators don't know this, and will tell you that every FP buff you add to 416 will continue sending her grenade damage higher and higher. With no external buffs and all SPEQs, 416 has 111 FP. What if you kill that Brute just in time and her grenade instead deletes every single Striker?Įither way, those enemies pictured have at most 1140 HP/link. You could say that there are 3+4=7 groups of 5-linked enemies, but you'll obviously have killed at least some of the brutes.īut what if there's one partially-linked Brute left, and it takes the whole grenade? Longer battles will help reduce the influence of these factors. You can click the "100x average" button in Hycdes several times and see a bit of variance even after taking that many trials, or "Run Once" for even more variation. GIRLS FRONTLINE UMP45 MOD4 SIMULATORWe can compare the actual clear times against the time a damage simulator lists to deal that much damage, and see if they line up.ĭamage variance, accuracy/crit RNG, and walk time differences will mean getting an exact match is unlikely, no matter how accurate the simulator is. The closest in-game setup I can think of to a simulator is an echelon of dolls with no special skills, against a lone Target Practice dummy. Starting with an easy question: do these simulators get the right numbers at all? While Hycdes is the only currently usable damage simulator I can reference, this is not a matter exclusive to it. Today, I'd like to talk about the limitations such sims face - any such program, in fact. I get the feeling that, for a lot of people, these results are considered an important part of building and evaluating teams. ![]()
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