Improve your in-game decisions in League of Legends with LoLTheory's team comp analyzer. Get personalized and fixed recommendations based on your ranked game history and standard experience level to make informed decisions.
Introduction
League of Legends is a highly competitive game, and understanding the strengths and weaknesses of different champions is crucial for success.
However, many stat sites calculate champion win rates by taking the win rates over all games on each given champion, without making any adjustments based on the experience levels of the various champions. This can lead to inaccurate and unreliable recommendations, especially for players with a limited champion pool.
LoLTheory's team comp analyzer offers a solution to this issue by providing personalized and fixed recommendations based on your own ranked game history and standard experience level.
Understanding the Problem:
The classic method of calculating champion win rates currently used on most league stat sites can be misleading, as it does not take into account the experience level of the players using the champions.
A player who has only played a champion a few times may have a much different win rate than a player who has played the champion hundreds of times.
For example: in patch 13.1, the average Gragas jungle player had played only 14.6 games on Gragas, while the average Shaco jungle player had played 47.3 games. If the average Gragas player had the same game distribution as Shaco, Gragas's win rate would be 1.6% higher.
This discrepancy can lead to false assumptions about a champion's strength or weakness and can also discourage players from trying out certain champions.
The Solution
Personalized Recommendations
LoLTheory's team comp analyzer addresses this problem by using your own ranked game history to provide personalized recommendations.
By analyzing your performance and game count for all champions from the last 10 patches, the analyzer can give you an accurate understanding of your strengths and weaknesses with each champion. This can help you improve your performance and expand your champion pool.
Fixed Experience Recommendations
In addition to personalized recommendations, LoLTheory's team comp analyzer also offers fixed experience recommendations. These recommendations are based on a standard experience level of 25 games played on each champion.
This is a great option for players who want to understand the meta and expand their champion pool without relying on their personal performance history.
Conclusion
In conclusion, LoLTheory's team comp analyzer offers a solution to the inaccuracies of current champion win rate calculations by providing personalized and fixed recommendations based on your own ranked game history and standard experience level.
Whether you're looking to improve your performance or expand your champion pool, this analyzer can help you make informed decisions and achieve your goals in League of Legends.