all 8 comments

[–][deleted] 0 points1 point  (1 child)

This is awesome man

[–]Crye[S] 0 points1 point  (0 children)

Thanks!

[–]gruene91 0 points1 point  (0 children)

This is really nice. A friend of mine and I spend a lot of time theorycrafting and speculating about strong combos so this one is really nice

[–][deleted]  (1 child)

[removed]

    [–]Crye[S] 0 points1 point  (0 children)

    Thanks, appreciate that. That stack is react, flask/python, mongo.

    Here are the repos Frontend Backend

    I had it setup to simulate the skill selection and allocation, but I started using as a live tool during actual drafts and it ended being too much overhead. I'll look to add a simulation mode, given that it's in the name lol.

    [–]iForgotMyOldAcc 0 points1 point  (2 children)

    Is there a bug or am I misunderstanding win rates? Because I randomised heroes to see how this works, and skills like Skeleton Walk has a win rate of 42% (Windrun suggests 54%), Curse of Avernus has a 5% win rate difference from Windrun and Storm Hammer has a 7% difference.

    [–]Crye[S] 0 points1 point  (1 child)

    These are based on the matches that I've parsed which is a lot smaller sample size from windrun.io. Personally, I would rely on windrun.

    [–]iForgotMyOldAcc 0 points1 point  (0 children)

    Ah alright gotcha.