Wordle Analyzer

The luck rating tells you whether the clue pattern you received was more or less helpful than average. When you make a guess in Wordle, the feedback you get can vary dramatically depending on the actual answer. Sometimes a guess eliminates 90% of possibilities (lucky!), and sometimes it barely narrows things down (unlucky). Our analyzer calculates the expected average number of remaining answers for your guess across all possible solutions, then compares it to your actual result. A "lucky" rating means your clue eliminated significantly more words than expected, while "unlucky" means it eliminated fewer. This is not a judgment on your word choice — it is simply measuring the random variance in how helpful the feedback happened to be.

Guess quality measures how effectively your word choice narrowed down the possible answers, independent of luck. It is calculated as the ratio of words eliminated to the total words that could have been eliminated. A high guess quality means your word was excellent at partitioning the remaining possibilities, regardless of which answer was actually correct. This metric helps you understand whether your strategic word selection was sound, even if the particular feedback you received was not the most helpful. A guess quality above 80% is considered excellent, while below 40% suggests there may have been better word choices available. Remember that guess quality is contextual — what makes a good guess depends heavily on how many possible answers remain and what you already know.

The AI recommendation shows you the mathematically optimal word you could have played at each turn. Our algorithm uses information theory to evaluate every possible guess, calculating which word would maximize the expected reduction in uncertainty. The key insight is that the best guess is not always a word that could be the answer — sometimes a word you know is wrong provides more information by testing multiple letter positions simultaneously. The AI considers all possible clue patterns a guess could produce and chooses the word that creates the most balanced distribution of remaining answer counts. When the AI recommendation matches your actual play, it means you independently chose the optimal strategy. When it differs, comparing the two can reveal strategic insights you can apply in future games.