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TOPIC: Random Damage Datapoint from this week

Random Damage Datapoint from this week 7 months 2 weeks ago #1

I noticed this weekend on the two runs I was on, Druids doing a looot of damage - typically a few points ahead of Barbarians, with both in similarly BiS builds. That's the first time I've noticed that (both were Polymorph druid builds).

Also, on today's run at Nightmare, with a BiS-ish Monk and Elf Wizard, here is how they stacked up:

EW: 160+69+255+69+261+69+47+52 = 982

This had 2 rounds of using Thor's hammer in the last two rounds, and at least 3 uses of Mage Powers and a use of Mec, so paying at least 40 HP to do that.

Monk: 115+119+118+58+106+106+107+115+103 = 947

Monk got one Quick Strike round, and missed one attack. Didn't get a stun the whole adventure.

I'm not sure how the Wizard had their build tuned, but the monk was not all in on damage, with saves of 27/31/28 and AC of 24/24.

On the one hand I'm relieved to see Wizards doing that kind of damage.

On the other hand, it's crazy making that a Monk with unbeatable saves who isn't giving up consumable spell slots and is not self-dealing damage is keeping up with a Wizard.

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Last edit: by Matthew Hayward.

Random Damage Datapoint from this week 7 months 2 weeks ago #2

I would say that a Druid basically being a Barbarian is not terribly surprising, based on the max damage builds I’ve been posting for a few years (2023: truedungeon.com/forum?view=topic&catid=571&id=256833 ). Here is a nice little chart for the typical damage profiles for melee classes:

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Random Damage Datapoint from this week 7 months 2 weeks ago #3

Not a random data point. As not everyone reads Discord ...

VTD17 Damage Tracking:
First run - Epic
Number of rounds: 2, 3, 2+qs, 4
Barb, 103
Bard, 50
Cleri, 10
Druid, 36
Dwar, 60
Fight, 61
Monk, 75
Rang, 93

What a difference a month makes. No DR that I'm aware of. Much lower ACs. We only did 11 rounds of real combat. Can see with bard how much doubling sonic damage matters.

Barbarian missed zero times, bard cast spells for 10 rounds, cleric missed 8 out of 11 rounds, druid cast spells until rm6 then missed 3 out of 4 rounds, dwarf hit 10 out of 10 rounds, fighter hit 9 out of 9 rounds, monk missed 9 out of 24 attacks (62.5% hit rate), ranger missed 5 of 20 attacks (75% hit rate).

Anti-Cabal - Nightmare
Number of rounds of combat: 3, 4+qs, 4, 5.
Avg damage:
Barb, 69
Dwa, 63
Figh, 44
Mon, 59
Rog, 40

Rogue damage is suppressed due to some last minute building. Barbarian missed 2 out of 16 times, dwarf hit all 15 times, fighter hit all 16 times, monk missed 15 of 34 attacks (56% hit rate), rogue missed 2 out of 15 attacks. Monk hit rate in rm6 was only 30%!

I have the numbers, of course, from PUG Nightmare run, but it just demonstrates how people have wildly different collections, either that or shows how paladin is way overpowered as can deal more damage than barbarian and monk combined. Also, where these two runs didn't have anyone doing something esoteric. In my PUG run, the bard had the highest AC in party - paladin was AC 44, bard was AC 50.

I should note that I don't make any adjustments for numbers offscreen. That FoP Saluki triggered in A-C run didn't add into dwarf's damage total, for instance.

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Random Damage Datapoint from this week 7 months 2 weeks ago #4

Druid damage was higher this weekend because there was an opportunity to match damage types to vulnerabilities. It was not a typical weekend, but it was a lot of fun.

Also thank you to Bards and your bardic lore that makes selecting the correct elemental form possible. :)

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Last edit: by OrionW.

Random Damage Datapoint from this week 7 months 2 weeks ago #5

OrionW wrote: Druid damage was higher this weekend because there was an opportunity to match damage types to vulnerabilities. It was not a typical weekend, but it was a lot of fun.

Also thank you to Bards and your bardic lore that makes selecting the correct elemental form possible. :)


I liked this factor this weekend - however in my two run data points they were outdamaging barbarians before the +5 damage from Vulnerability was factored in.

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