General Questions about Loser's Queue
This section answers the most popular questions about the 'loser's queue' and matchmaking in League of Legends.
What is Loser's Queue in League of Legends?
- 50% Winrate Principle: Many players believe that Riot Games' matchmaking system intentionally balances matches to keep their winrate around 50%. If you win frequently, you might be paired with weaker teammates or stronger opponents to 'even out' the results.
- Punishment for Winning: Some players claim that after a winning streak, they are placed in matches with teammates who perform worse than usual or with beginners, making it nearly impossible to win.
- Riot Games Patent: The community often references a Riot Games patent describing a system that uses the old honor system to identify a 'team captain.' According to the theory, this 'captain' is intentionally paired with less experienced players to 'carry' the team to victory.
- Losing Streaks: A less popular theory suggests that players who lose frequently are placed in the 'loser's queue,' where their teammates perform worse than usual, amplifying their losses.
It's important to note that none of these theories have been officially confirmed by Riot Games. However, they remain a hot topic in the community. LoserQ.lol helps you objectively analyze your matches using statistical data to determine whether you're facing a systemic issue or if your losses are due to other factors, such as personal performance or randomness.
Why do I get weak teammates?
Weak teammates can result from various factors: your current MMR, winrate, role in the team, and even the time of day you play. Riot Games uses complex algorithms to balance teams, but perfect matchmaking doesn't exist. LoserQ.lol helps you understand whether your teammates are objectively weaker or if it's just your perception.
Does Riot manipulate matchmaking?
There is no evidence that Riot Games intentionally manipulates matchmaking. However, players often feel the system is unfair, especially after a losing streak. LoserQ.lol provides objective data so you can evaluate how balanced your matches truly are.
Does winrate affect matchmaking?
Winrate can indirectly affect matchmaking because it is tied to your MMR. As your MMR increases, you'll face stronger opponents and teammates. However, winrate itself is not a direct factor in matchmaking. LoserQ.lol helps you understand how your winrate and MMR impact match quality.
How to escape Loser's Queue?
To escape the 'loser's queue,' focus on improving your gameplay. Work on your mechanics, choose roles where you feel confident, and analyze your matches. LoserQ.lol provides data to help you identify what is holding you back and how to fix it.
Read our philosophy on data vs. tilt to learn more.
How to improve your MMR in LoL?
Your MMR depends on the consistency of your gameplay and winrate. To improve it, focus on the following: play your best roles, minimize mistakes, analyze your losses, and work on teamwork. LoserQ.lol helps identify weaknesses in your gameplay and provides an objective view of your progress.
Our philosophy page explains how to focus on what you can control.
Can you avoid feeders on your team?
No, avoiding feeders on your team is impossible. Feeders are part of the game, and even you can become a feeder if you face opponents who are too strong or have a bad day. However, LoserQ.lol helps you understand how often feeders appear in your matches and how it impacts your results. Use this data to focus on aspects of the game you can control.
Questions about the LoserQ.lol Application
This section answers questions about how LoserQ.lol works and how to use it for match analysis.
How does the winner/loser index work?
- Loser's Queue Index: If, over the last N games, your team had more feeders than the enemy team, you'll see a 'loser's queue index' with a percentage. For example, a Loser's Queue Index of 22% means that in 22% of your games, your team had more feeders than the enemy team.
- Winner's Queue Index: If the opposite is true (the enemy team had more feeders than your team), you'll see a 'winner's queue index' with the corresponding percentage.
This index helps you objectively evaluate how often your team is in a disadvantageous or advantageous position due to player behavior. It's important to note that the algorithm is constantly improving, and in the future, we plan to include more factors to make the analysis even more accurate.
How to read match analysis statistics?
Currently, match analysis statistics are minimal: we display your KDA and mark each player as either a 'feeder' or a 'carry.' For example, if you lose more often than you win, but there are fewer feeders on your team than on the enemy team, it may indicate that you are not performing effectively. In the future, we plan to expand functionality by adding more metrics to help you analyze your matches more thoroughly.