Sharing an ROI calculator for choosing which games to add for card-farming (Excel + Python) #3586
cardroi-calc
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On a non-profit / open source project is far from ideal. |
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I've been using ASF for card-farming and got tired of guessing whether a given $0.49-$5 game would actually pay itself back in cards. Built a small Excel + Python kit, sharing it here in case it's useful to anyone else here.
What it does
python update_prices.py) pulls live game names, set sizes, and median card prices straight from Steam Store + Community Market APIs. ~2 min for 50 games. No Steam API key required.The math
A game pays itself back in cards if
Buy_Price < Net. Tuning fee + drop_rate in the Settings sheet lets you model different scenarios (full-set drop accounts, Steam events, etc.).Numbers I'm seeing on a fresh scan today (real Steam data)
So if a game is on sale for ≤ $0.20, Undertale or Terraria would clear net positive purely from cards. Free packages via ASF's FreePackages plugin are infinite ROI.
Why post here
Looking for feedback on what other columns / mechanics would actually be useful to ASF users — currently considering: foil ROI separately, gem-conversion path (cards → gems → boosters → cards), per-region Steam pricing import, badge-completion bonus modeling.
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(Mods: feel free to move this to Offtopic if General isn't the right place. Open to any feedback on framing.)
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