Hey all!
I’ve created a nice spreadsheet template for everyone to record their personal Dungeon door rates. Feel free to make a copy of this Sheet and record your own data!
Example:
…with a reminder once/if patterns arise that mods may be eager to ‘do their job’ and report to the Devs instead of letting the playerbase have a small non-economy-breaking joy (hopefully this documented fact is not seen as ‘insulting’ by the powers that be 
), so bear that in mind when sharing such information on this forum.
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Seconded. Please be wary of sharing your data on these forums. Community Discords are likely a better place for them.
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Do NOT post any more data on this forum ever!
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I cant the excel used!
You will need to make a copy of the sheet and edit the copy 
Make sure no data is disseminated on this forum if any patterns are found.
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Update
Added a few QoL things to the template based on improvements by @mitamata !
- The first row now includes a count of total days tracked.
- Cells are now color-coded (red = trap; yellow = other; green = boss)
- The data tables now create a gradient based on values (see example below)
Enjoy!
Example:
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Update
- Labels in data boxes are now color-coded, not just their values.
Example:
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Is there anything to track opening order? I’d be interested to see if any personal trends can be explained/negated by order, or if there are any global order trends 
¯\_(ツ)_/¯ (e.g. % traps behind 2nd selection, regardless of position).
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If someone makes a simple way to track that, I’m down. I can’t think of an efficient way for it, as I’m not well-versed in spreadsheets.
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The way I did it for me is, I recorded the open order as “123456” for example in a column, then extrapolated what was behind “n-th open door” into a new table. Here’s an example: GoW Dungeon Tracker Template (with order) - Google Sheets (check new sheet)
Interesting! Hmu on Discord if you’ve found any notable potential patterns by door order.
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Updated to include tracking for perfect runs. You can enter “1” in the perfect column for perfect runs, otherwise you can leave it blank.
Please note that 10% is the theoretical average. If there is any distinguishable pattern, you should hopefully see averages above 10% especially as you gather more data.
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