#72 - April 30, 2014, 5:01 p.m.
Yes there is a fair solution: Throw them back into the queue to have a new grouping chosen. A match like that should never take place, because as you alluded to, it will never be fair.
Currently, the only way it is possible is for one or more players to be waiting in the queue for a long time. The alternative is for them to just never get a match. Acandis’ poll is a good start for that discussion.
Personally I don’t understand how the MMR is failing as badly as it is. True you guys have hidden ranks (which I agree after a certain point, say may 30, are pointless), but it isn’t hard to tell by actions (such as 3 people on your team running home and staying there for cap) or stomps (someone using a deer finisher), or titles (someone wearing Gladiator) that the skill levels are not being matched up fairly in the least.
Excluding the initial period when MMR is “warming up”, every single instance I’ve looked at has been a fair pairing. The downside of not showing the data is that many people will assume the worst.
The experience gap, which MMR does not look at, is one of the first things we’ll likely be changing in the future.
Maybe you aren’t putting in enough of a time wait before expanding the MMR range of a player. I recall an Anet person (Josh?) saying that the longer you are in the queue the wider the flexibility of your MMR range. In other words if I start being able to accept others on my team between 10-12 it eventually can expand to 1-21.
It might have been me, I’ve said it more than a few times. We could expand the time it takes, and as I mentioned above, Acandis’ poll is a good start.
Or maybe it is caused by the last minute grabs. I know that when someone leaves a roster, or leaves a game right before it starts, the system grabs someone fast to try to not have a 4v5, well I have a feeling it grabs pretty quickly and doesn’t wait at all which would lead to high variance in what is actually grabbed.
Unfortunately the system does not do that. While you’re right that it could cause problems, I think could solve more than it creates.
Something your post just sparked in my mind. Are you guys tallying team MMR using mean or median? I think that could be a huge flaw if you guys use mean. An outlier can pull that number to look falsely high when (as you use in your example) just having a 20 on a team doesn’t make up for having a 2 or a 1. In order to properly rank the team’s MMR I definitely think you should be using the medium MMR and not the average since the outliers can totally mess that up. Not sure which you use…
Both mean and median have their edge cases where they can cause problems. When we make adjustments to the system, we generally try to simulate the changes with realistic data and make choices with the most common outcome in mind.