Game pricing practice page

That is a fun little game idea.  I bet users would enjoy something like that.  

Absolutely! Would make sense to have it on PriceCharting (could be a sub feature) and the data it would generate would be interesting too! Perhaps could help find insights like, just an example, "People with > 70% overall game price accuracy typically underestimate the price of combat games.", etc.

Some things I have found just playing with my prototype:

• Weight random game pick by sale volume
• Prices to pick from should be > ~5$ apart at least (otherwise feels a little unfair)
• Can show recent 10 picks but player's accurate score should be based on a much larger sample (I think ~200 samples typically coveraged to ~33% accurate if you picked the middle price every time)

If there is interest I would love to participate and provide feedback, etc!

Did you make this demo game yourself?

Yes I did, I used Python/Flask because that's what I know for my day job. If you send me your Github username I can add you to repo (was a quick prototype so pardon the mess). Is only about ~80 lines of Python and a little more of HTML.

I'd love to see that code.  Our backend is all Golang, but I'm sure seeing some of the code would be useful.  Plus it is just fun to admire a fellow coders work sometimes.

Github uUser name is jjhendricks

Added! Golang is nice, have picked up a little bit but not enough to be comfortable with it yet.

• "app.py" is the web server
  • HTML is in the template folder
• "enrich.py" is a one-time run which enriches the data a little (would be great to have the cover art be a part of the PriceCharting API, I would be surprised if there isn't a feature request open on that already)
  • This script requires two environmental vars "PC_EMAIL" and "PC_PASS", which I use to grab the cover art of the game.
• Ignore the fact that I have data in my Git repo :D
  • Would never typically do that but just wanted to avoid having to setup a DB since this was just a quick prototype (is also a big reason why the repo is private honestly; and data was paid for).
• The Pandas library in Python handles a lot of the numerics (sampling, etc.)
• Repo was originally used for a different game idea I had (is why the .gitignore is 3 years old... :D)

Just FYI.  This game is live on the site now.

https://www.pricecharting.com/priceit/video-games

I think it turned out really nice.  People say they enjoy it.  Thanks for sharing your idea and discussing this with me.

This is awesome! Thank you!!

Opps, needed to login first. Thanks again!