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I'm sorry, but i think this approach is a bit wrong, because it doesn't emphatize the fact that games with more votes have a more precise score. It's like saying that every game that has more than 10 ratings has a 100% precise score.
I think a Bayesian approach would have given a better result.

For example, the formula for calculating the Top Rated 250 Titles in IMDb  gives a true Bayesian estimate:

weighted rating (WR) = (v ÷ (v+m)) × R + (m ÷ (v+m)) × C 

where: R = average for the movie (mean) = (Rating) 

v = number of votes for the movie = (votes) 

m = minimum votes required to be listed in the Top 250 (currently 25000) 

C = the mean vote across the whole report 

I believe that, with the same formula, if we substitute m with the median (in this case 10), we would get a more accurate estimate of what the game score should be.

oh my got that's really cute, thank you for the fan art!

I really like this post xD

Here's my entry too, a platformer... with only one jump!

https://wylter.itch.io/onejumpman

To be honest it surprised us as well that we managed to do this much in  in only 48h, with a team of just 2 people. But I'm really happy with the result, thank you! 

I found a really good game during the jam period where you had do draw one line to navigate a chicken inside the puzzle level, and it was incredibly fun. This is my Pick for sure. https://michim.itch.io/chickenhike

Also, if you want, check my game as well. I must say I'm really proud of the mechanics we were able to implement. 

https://itch.io/jam/gmtk-2019/rate/460655

Thank you! 

We tried to sometimes give the chance to do the levels choosing when to jump, expecially in the first cloud platforms, while other levels have a more puzzle like approach of understanding when to jump. 

But yeah if we'll expand on the concept we'll try to give more space to choosing when to jump as well :) 

Thank you for the feedback, we're really proud of the cloud mechanic!