Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Invoker - Storm Wave - Incorrect DPS calculation #620

Open
3 tasks done
Kazunavn opened this issue Jan 26, 2025 · 0 comments
Open
3 tasks done

Invoker - Storm Wave - Incorrect DPS calculation #620

Kazunavn opened this issue Jan 26, 2025 · 0 comments
Labels
bug: calculation Numerical differences

Comments

@Kazunavn
Copy link

Check version

  • I'm running the latest version of Path of Building and I've verified this by checking the changelog

Check for duplicates

  • I've checked for duplicate open and closed issues by using the search function of the issue tracker

Check for support

  • I've checked that the calculation is supposed to be supported. If it isn't please open a feature request instead (Red text is a feature request).

What platform are you running Path of Building on?

Windows

What is the value from the calculation in-game?

As you can see in the screenshots, there is a difference in the DPS numbers.
Main differences I noticed are:

  • All MH damages
  • MH critical stats

Image

What is the value from the calculation in Path of Building?

See screenshot above.

How to reproduce the issue

Invoker lvl 92, using a magic quarterstaff with only +65 to accuracy.
For information, with this setup, the Tempest Flurry DPS value is also incorrect in PoB. So I assumed I might have misconfigured something and double checked it. Everything looks okay for me.

Character build code

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

Screenshots

No response

@QuickStick123 QuickStick123 added the bug: calculation Numerical differences label Jan 28, 2025
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
bug: calculation Numerical differences
Projects
None yet
Development

No branches or pull requests

2 participants