Average DPS: Mean damage across all iterations
Max DPS: Highest damage achieved in any iteration
Min DPS: Lowest damage achieved in any iteration
Consistency: Specs with lower standard deviation are
more predictable
Wowsims is still in alpha, and as such the quality of each spec varies widely. This is particularly noticeable in multi-target encounters where classes APLs have not been fleshed out enough yet.
These are theoretical maximums under ideal conditions. So no, take these benchmarks with a grain of salt.
This website displays static simulation results that were generated at a specific point in time, not live simulations. The data represents a snapshot of spec performance based on the wowsims engine and configurations available when the simulations were last run. For live, interactive simulations where you can customize gear and settings, visit wowsims.com/mop.
As of writing, the website is still actively being developed. So all simulations are being manually run. In the future, simulation runs will be triggered by upstream wowsim releases.
In most cases every spec uses the appropriate gearsets/talents directly from the wowsims repo.
Currently we are running 10,000 iterations for each category, once wowsims has matured I will up this to 50,000.
We use the default raid cooldowns from wowsims, which is bases on an ideal 25M raid. Warrior/Shaman simulations are counted in the 4/2 Stormlash Totem/Skull Banner count, not in addition to.
We use the wowsims CLI, which accepts JSON configuration files containing all simulation parameters (gear, talents, encounter settings, etc.). While these files can be manually generated from the wowsims WebUI, we use Nix to programmatically create configurations for all specs and encounter types. The Nix build system then orchestrates running thousands of simulations in parallel, aggregates the results into JSON files, and generates the static website you're viewing. This approach ensures reproducible builds and allows us to efficiently simulate entire spec rankings across multiple scenarios.