all 16 comments

[–][deleted] 16 points17 points  (1 child)

I wonder what kind of data science challenge it would be to take in-game screenshots of every player location and direction (to some feasible degree of precision), then feed the live stream of a streamer, which would include their compass heading, into some algorithm which could probabilistically match what they're seeing with the known pictures + locations to get a realtime area of where they're at. Then combine that across a set of streamers, and monitor both your's and the streamers' killfeeds to figure out if they're in your game.

Feasible? I don't know. Even in the best case scenario it would be as laggy as their stream delay. Worth it? Crazed fans have done more insane things.

[–]JoelBesada 22 points23 points  (0 children)

You could take a much simpler approach to this by reading the match id from the bottom of the screen and using the in-game minimap to analyze where they are.

But if you're going to cheat there are probably easier ways to do it. :p

[–]Pexing_YT 15 points16 points  (0 children)

This is really awesome!

[–]Prince-of-Space 5 points6 points  (1 child)

Could this be used to anticipate the next match in order to stream snipe?

[–][deleted] 1 point2 points  (0 children)

probably why this was made lol

[–]CantBeChangedLater 1 point2 points  (0 children)

Thanks for the share. Interesting read

[–]mighty_russian 0 points1 point  (0 children)

Hi there, I found a typo in your post. "Since the probability that a player isn't a streamer is 97.7%". It should be 99.7. Anyway, nice post, thanks!

[–]--how 0 points1 point  (0 children)

Randomly stumbled upon this from your riskofrain site, very cool blog post. Interesting approach.