As the new League of Legends ranked season kicks off we have six stats you should be looking at in the postgame lobby to judge your performance.
“I totally carried that game, it’s just these feeding teammates that made me lose!” This is a common refrain that a lot of League of Legends players will say after a particularly frustrating game of solo queue.
I get the impulse to try and rationalize what caused your team to lose and looking at baseline stats like KDA, damage, and the like tend to be the easiest ways to justify whether you were the cause of (or victim of) your team’s demise. But how much do those numbers justify claiming that you or your teammate carried or fed your game?
Over the past two years, I’ve charted every single statistic available across my three main roles – jungle, top, and support – to try and find ways to improve my own gameplay. In doing so, I’ve found that there are six key stats that consistently (though not always) predict whether you are more likely to win both in specific games or across long stretches of time. That is to say, having better statistics in a game correlates very consistently to winning and having solid statistics on a given champion correlates consistently to having a higher win rate on a champion. Thus, I am confident that you can use these stats to efficiently evaluate both your performance in a given game and your champion pool performance.
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Now, I’ll also preface this discussion by saying that these stats are not the end-all and be all. All of these statistics can be impacted by your team’s performance not just your individual play, which is why I tend to favor using them as a barometer of how I’m performing with a champion rather than in individual games. It’s also possible to excel in one statistical area and not others, or to have instances where your win rate doesn’t quite line up with stats. In those instances, my advice would always be to go with what’s getting you wins but keep these trends in mind if that win rate starts to regress.
In this article, I’ll be classifying player performance in five different categories: carry, above-average, neutral, below-average, and feed. Determining which classification a player is in for a given game will be based on these six statistics.
I’ll also note that, in my two years, tracking these stats it is almost never the case that a player will lose games when they carried, or win games where they fed. It is approximately 2% of games where this happens. While it is slightly more likely that you can play above-average and lose (or below-average and win) that is still the case in only about 20% of games.
In short, your performance will generally line up pretty well with how the outcome of the game. The most common classifications of games are, in order, win/carry, lose/feed, lose/below-average, and win/above average, while the least common are win/feed, lose/carry, lose/above-average, win/below-average. With that in mind, here are six key stats you should be tracking and how you can use them to see how you did in a particular game.