MischiefSC, on 07 September 2014 - 01:25 PM, said:
So on Elo variance and the like how much benefit would it be to remove game mode selection?
Is the primary issue the 2k+ folks?
What it game mode was more a preference than a hard restriction? The problem I see with high/low to target involving 300+ variance on Elo on a team is it starts to make Elo progression exponentially more difficult the further up the curve you go. Part of the perk of an Elo progression is a gradual curve on improvement at an individual level even if your actual position on the curve is dramatically steep. If movement out of majority ranking involves heavy carry every match you're going to get stuck in the middle.
This gets more problematic when you account for us not knowing if this match is a gain or loss opportunity for us. I agree we don't need to see our Elo scores but can we see the projection for the match?
Also opting in and out of Elo matches. If I'm getting basics in a nova I'm not performing at expectation. Mm performance is going to skew match results.
Opt out out Elo, or opt in. Game mode a preference not a limit. Wouldn't that give better overall match results and more accurate Elo?
And now Russ has spilled the beans on easing game mode filters Yes, the high-elo players frequently restrict their filters, but in general very few players have all gamemodes selected by default. Russ has been asking me to run these numbers for a while now, I just haven't had much chance with everything else going on. I *still* haven't run the numbers unfortunately, but he's escalated this task on my priority list significantly. So, hopefully I'll have a much better answer for you shortly.
Opting out of Elo adjustments for a time could potentially help convergence; I can see the case your presenting. Honestly, Elo adjusts slowly to begin with. Our k-factor is currently set to 20, which means for a single match the most your Elo can change would be 20 points if you won a game you were predicted 100% to lose, or vice versa.
Part of my MM rewrite involved running simulations for many different k-factors, as well as different team Elo calculations to determine which strategies might provide the quickest convergence. Unfortunately I haven't finished all of this experimentation either.. :'( Soon tm.