The KD Ratio Head Scratcher
What I'm looking for is some insight into how lobbies are made, and how XP is factored in. For context, I've been playing BR's (Fortnite and Warzone mainly) for 5 years, and jumped into Apex about 3 ...
Forum Discussion
@reconzero Nail in the coffin my brother! Case studies done by UCLA with assistance from EA kinda supports what you say above.
"Every heard of EOMM? It stands for engagement optimized matchmaking, which is different than skill based matchmaking.
This study by UCLA, with the assistance of data provided by four employees of Electronic Arts, the publisher for Respawn Entertainment and Apex Legends, took data from over 36.9 million matches from 1.68 million unique players.
It discusses the EOMM model using variable inputs such as churn rate to optimize player retention, and discusses similarities to SBMM.
In my own conclusion after reading through this, it appears that we actually live in a state of EOMM more than SBMM, but one that employs known SBMM logic and systems, which would explain why you have three excellent games in a row, which appear to be SBMM-related, only to get steamrolled on your fourth, and so on.
Before you comment and rail Respawn, Electronic Arts, or anyone in particular, I suggest you read the length of the paper (8 pages including citations, not a long read at all). I'm posting this here for discussion purposes, not to ignite a fire in the community.
If presented as EOMM versus SBMM, after reading this paper, would you feel better or worse playing under the parameters of this matchmaking algorithm?"
Here is the paper -
http://web.cs.ucla.edu/~yzsun/papers/WWW17Chen_EOMM
You be the judge.
"Every heard of EOMM? It stands for engagement optimized matchmaking, which is different than skill based matchmaking.
This study by UCLA, with the assistance of data provided by four employees of Electronic Arts, the publisher for Respawn Entertainment and Apex Legends, took data from over 36.9 million matches from 1.68 million unique players.
It discusses the EOMM model using variable inputs such as churn rate to optimize player retention, and discusses similarities to SBMM.
In my own conclusion after reading through this, it appears that we actually live in a state of EOMM more than SBMM, but one that employs known SBMM logic and systems, which would explain why you have three excellent games in a row, which appear to be SBMM-related, only to get steamrolled on your fourth, and so on.
Before you comment and rail Respawn, Electronic Arts, or anyone in particular, I suggest you read the length of the paper (8 pages including citations, not a long read at all). I'm posting this here for discussion purposes, not to ignite a fire in the community.
If presented as EOMM versus SBMM, after reading this paper, would you feel better or worse playing under the parameters of this matchmaking algorithm?"
Here is the paper -
http://web.cs.ucla.edu/~yzsun/papers/WWW17Chen_EOMM
You be the judge.
@NickBeam27 Very cool, thanks for sharing! Plenty of downtime at work today to read for sure. 🙂
@ChasingGeekdomyeah you can practically get to Plat, just by existing and having 0 kills and assists
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