Implementing a ranking algorithm in Django query

I currently have upvotes and downvotes stored. I am trying to make a ranking algorithm as such

ranking = log(upvotes - downvotes)

But in doing my query in Django I am using annotate as such, and am unsure where I would add in the math.log to the annotate so it ranks it by log?

Here is the code:

    defeniciones = Palabra.objects.prefetch_related(
        'tag_set'
    ).filter(
        nombre__iexact=palabra,
        aprobada=True
    ).annotate(total_votes=Count('userUpVotes') - Count('userDownVotes')).order_by('-total_votes')

As can be seen here, https://diccionarioespañol.com/significado/wey/ It ranks the 1 upvote 0 downvotes fine. But then ranks a 6 upvotes, and 1 downvote at the bottom, instead of number 2.

So I think log will fix this, but if not I am unsure how what an equivalent fix would be.

Solution

Finally figured it out, after checking django documenation. It says here

"Combining multiple aggregations with annotate() will yield the wrong results because joins are used instead of subqueries:"

So the soluction was to change to annotate to include distinct=True in the Count like such

).annotate(total_votes=Count('userUpVotes', distinct=True) - Count('userDownVotes', distinct=True)).order_by('-total_votes')