Replay Analysis: Please send me your replays!

I’ve finished for the year at university, so can start to refocus on my replay analysis.

Thank you to all who have sent me their replays to be included in the analysis, I wouldn’t have made it this far without you! We are so close to breaking through the 100,000 milestone and I know we can do it!

This post acts as another call to arms for people to send me their replays. You can use this form to upload or share a link to a shared drive for me to download. Please compress them into a zipped package! (Right click > Send to > compressed (zipped) archive). My Google Drive can only handle 14GB at a time, so I’ll be keeping an eye out for submissions, downloading them and deleting them from my drive to make room. If you have more than 14GB to submit, please upload it to a shared drive (i.e. Google Drive, Dropbox, OneDrive) and share the link to the folder via the form. Thank you.

Player names (and account ID’s) will remain anonymous when the data is published. This isn’t about individuals, it’s about all of the replays as a whole.

I had been struggling to find a way to properly present data surrounding the Range for Part 6 (i.e. if the game was a 15-5 win, the Range is +10, or with a 2-15 loss, the range is -13) and if I’m honest, I’m still struggling there. As such, I have decided to skip Part 6 and start work on the essay-length report (where Range will be included as originally planned) to not only include the newer replay submissions in the data, but to expand in areas I may have overlooked previously. I have big plans and it’s going to take me some time to crunch the data and write it up, but I plan to make a start next weekend (June 11th/12th) to allow a week for people to submit their replays.

If you’re unaware of my analysis so far, I have been crunching the data from tens of thousands of replays sent to me by readers and Redditors to see if there are any patterns or interesting observations.

You can start reading here: Replay Analysis –


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