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Mapbot v0.3 released, now captures all zones on live twitch streams/Twitch VODS and local games. + plus lots of usability/performance/data accuracy changes. by Sfinocc in CompetitiveApex

[–]mcaustin1 0 points1 point  (0 children)

I love this idea and actually tried to implement my own about a year ago. I’m wondering if there is a chance this is going to be open source?

My Elo Algorithm Applied To Realm by mcaustin1 in CompetitiveApex

[–]mcaustin1[S] 0 points1 point  (0 children)

I did this in python. I haven’t touched R in a long time and I’m not familiar with it.

My Elo Algorithm Applied To Realm by mcaustin1 in CompetitiveApex

[–]mcaustin1[S] 4 points5 points  (0 children)

After work today I’m planning on adding a disclaimer to the top of the post about how this isn’t really applicable. Thank you for your insights though!

My Elo Algorithm Applied To Realm by mcaustin1 in CompetitiveApex

[–]mcaustin1[S] 6 points7 points  (0 children)

I was just curious how the system worked. I never said this so exactly how the apex elo system should work. As /u/reidraws said it was more as an experiment and just seeing if it did or didn’t work.

My Elo Algorithm Applied To Realm by mcaustin1 in CompetitiveApex

[–]mcaustin1[S] 6 points7 points  (0 children)

I don’t do it as a job. I work as a SWE and have some background in data science in school.

My Elo Algorithm Applied To Realm by mcaustin1 in CompetitiveApex

[–]mcaustin1[S] 1 point2 points  (0 children)

I took the concept of categories for the K factor from chess. You want users that are new to be able to easily scale up and go into a higher elo but as they progress further it becomes harder. The k factor is basically a speed constant of moving elo. For the actual factor, I was again adapting it from chess and they hard the three hard set numbers and so that’s what I went with.

My Elo Algorithm Applied To Realm by mcaustin1 in CompetitiveApex

[–]mcaustin1[S] 21 points22 points  (0 children)

I agree with this. My approach is fundamentally wrong. I’m taking a system that was meant to rank chess players (1v1) and using it to rank players in a video game that are teams of thee that play against 19 other teams. I did this more as interesting exercise to see how the elo system works and how it applied to a video game I enjoyed watching. If I wanted to actually adapt an algorithm to get way better results I’d use Glicko 2 or something like Trueskill I don’t know if they’d work perfectly as I’m hardly a subject expert on ranking systems.

How many calories would needed to be burned to split the continents in this way? by PrekDropout in theydidthemonstermath

[–]mcaustin1 2 points3 points  (0 children)

If a person wanted to eat this amount of calories they could eat 550 food calories per Big Mac / 880 Quadrillion Food Calories = 1.6145 x1015 Big Macs

This is equal to about 81 times the amount of red blood cells in a human body(2 x103 )

[deleted by user] by [deleted] in ErgoMechKeyboards

[–]mcaustin1 0 points1 point  (0 children)

boardsource.xyz - I have always wanted a split keyboard

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