My friend can't play comp

[CALCULUS-11403]

@AmserCranc-2481

Machine-leaning is really old. Like 1950s-old

Machine Learning as a concept is many decades old. In implementation and complexity it is still very young.

@AmserCranc-2481

Yes. And changes in player skill will be quickly reflected in MMR. That’s the goal. This is the system working perfectly.

But legitimately everyone claims how bad the system is at detecting MMR.

So which is it? Is the system a machine learning marvel and incredibly proficient at correctly matching people?

Or is it broken and your friend is a super star player who deserves to be higher?

Because it clearly can’t be both.

@AmserCranc-2481

SR isn’t a reward.

Then why are any of us grinding competitive?

@AmserCranc-2481

To establish a relationship between MMR and chance-to-win.

You wouldn’t need Machine Learning for this.

@Nano-22210

Hey, just leaving this here if you guys want to experiment with simulating open queue-esque matchmaking! Hope you guys find it useful!

@Nano-22210

Hey, I made a tool that simulates semi-randomized matchmaking that effects 50/50 outcomes using a knapsack or “best-fit” style algo.

docs.google.com/spreadsheets/d/1XtVVYyEx0__EwdrGJ0WGbZr_rUI3Up94Wacu-Fi2kRc

Here’s a match maker coded by a Forum regular that, to my knowledge, uses no machine learning whatsoever. And from reviewing all of his notes, it’s not horrible for a make shift program written by 1 dude.