Proposal: End-Match Rating System Applied ONLY to Teammate Matchmaking
Hello,
As a long-time player since the early seasons, I want to propose a realistic solution to the toxic voice/text chat problem, especially in Diamond Rank and above, without causing any queue delays.
Many players, especially in the Japanese community, turn off voice chat entirely because they fear toxicity. This ruins the high-level coordination needed in upper ranks. AI voice detection has too many barriers (languages, slang, mic quality), so we need a player-driven system.
The Idea:
1. End-Match UI: Add a simple thumbs-up/down button for teammates on the match summary screen. It takes only a second and doesn't interrupt the gameplay.
2. Anti-Griefing (Accumulation system): A single toxic teammate's rage-click won't affect a player. The rating only drops if low ratings accumulate over multiple different matches (e.g., 5+ low ratings in a week). This easily filters out casual bad-mouthing and catches actual serial toxic players.
3. Teammate-Only Filtering (NO Matchmaking Delay): This is the most crucial part. The game collects 60 players for a lobby based on skill (RP/MMR) exactly as it does now. Therefore, queue times will NOT increase.
4. Once those 60 players are gathered, the system simply avoids pairing low-rated players with high-rated players when forming the 3-man squads.
Benefits:
- Zero Impact on Queue Times: Solves the developer's biggest fear of matchmaking delays in low-population high ranks.
- Self-Inflicted Punishment: Toxic players will be paired with other toxic players who don't communicate or cooperate. They will naturally drop in rank or change their behavior.
- Healthy Community & Streamers: Positive players and streamers can safely use voice chat again, showcasing high-level Apex coordination to viewers, which brings back the game's original fun.
No bans are necessary. Just separate the team-building inside the lobby. I believe this package is the most realistic step to save the rank experience and prevent player dropouts.
Thank you for reading.