Frequently Asked Questions
How do you come up with your build suggestions?
We analyze the information from millions of League matches each patch. That information is dissected using state-of-the-art statistical methods to determine which items will provide you the highest probability of winning against different team compositions. Don't just rely on one build suggestion from other guides. Use the build that has been proven to be effective against your enemies.
How does your match predictor work?
Given the number of unique champions available in League of Legends, there are over 4.5 sextillion (4.5E21) possible number of match compositions, not including different roles. We use modern machine learning algorithms to teach our Match Predictor to predict the outcomes of future matches. Using our proprietary method that takes into account much more than just lane counter, we are able to anticipate the outcome of matches that have never been played before. Of course skill and random chance are big factors in a match outcome, yet based on team compositions alone, we are able to predict the outcome of matches much better than random chance would suggest.
How often do you update your data?
We update our data often, approximately once a week. This schedule allows us to acquire enough match history to make quality predictions and provide detailed statistics while keeping our pages up to date with the current meta.
What is "machine learning?"
Machine learning is a branch of computer science that develops algorithms that allow computers to discover trends and make predictions without being explicitly programmed how to do so. This is the same field that has allowed Alexa to understand you and has taught Google to recognize you in a new image.