Wordle Lab
Wordle Lab – Ultimate Wordle Solver & Analyzer

Here are three commonly referenced word lists associated with the game Wordle: the “2,309”, “3,207”, and “14,855” word lists. None of these lists have been officially confirmed as the definitive answer sets by the creators of Wordle.

• 2,309 Word List:

  Many players report seeing answers from this 2,309‑word list, though there are exceptions.

• 3,207 Word List:

  The 3,207‑word list is often used as a broader “answers” list in community tools.

• 14,855 Word List:

  This much larger list, containing 14,855 words, is believed to reflect the broader vocabulary of words accepted by the game as guesses (rather than necessarily as answers).

Each of these lists plays a different role: the 2,309 list as a common answers reference, the 3,207 list for extended answer coverage, and the 14,855 list for comprehensive guess vocabulary.

• Next Guess Recommender: This tool uses an entropy-based approach to narrow down the list of candidate guesses. It first ranks words by entropy and then refines the ranking using E[steps], E[cands], and Max Bucket.
• Entropy: A measure of uncertainty, where higher values indicate words with more potential for narrowing down the solution space. Entropy values represent how "informative" a word is when used as a guess. The bigger, the better.
• E[steps]: An estimate of the number of steps required to guess the target word, given the current pool of candidate words. It is an approximation, computed by simulating future guesses:
  • For large candidate sets (above Deep Limit), a faster, shallower lookahead is used.
  • For smaller candidate sets (at or below Deep Limit), a deeper lookahead is used (up to several guesses ahead), which is more accurate but slower.
  • In both cases, all follow-up guesses used for E[steps] are chosen only from the current candidate set, regardless of whether Hard Mode is ON or OFF.
  The smaller, the better.
• E[cands]: The expected number of candidates remaining after a guess, based on the current word pool. This metric helps assess how effective a guess is in reducing the search space. The smaller, the better.
• Max Bucket: The size of the largest group of words that would result from guessing a particular word, given the current state of the game. This value helps identify words that will divide the remaining possibilities evenly. The smaller, the better.
• Hard Mode ON: Guesses are made only from the top-ranked Max Cand candidates based on entropy.
• Hard Mode OFF: Guesses are made from both the top-ranked Max Cand candidates and the top-ranked Max Pool words from the external pool, based on entropy.
• Max Cand (Max Candidates): The maximum number of top-ranked candidate guesses from the main candidate list, selected based on entropy, used for the recommendation.
• Max Pool (Max Guess Pool): The maximum number of top-ranked external pool guesses, selected based on entropy, used for the recommendation (only applies when Hard Mode is OFF).
• Deep Limit: Controls when the recommender switches between the faster and deeper E[steps] models:
  • If the number of remaining candidates is greater than this value, the recommender uses a faster, shallower E[steps] approximation.
  • If the number of remaining candidates is less than or equal to this value, it switches to a deeper multi-step lookahead, which improves accuracy but can be significantly slower.

• Word Analyzer: Lets you type any 5-letter word and evaluate it against the current candidate set. It computes the same metrics as the Next Guess Recommender: Entropy, E[steps], E[cands], and Max Bucket, but for a single word you choose.
• Entropy: Measures how informative the word is as a guess. Higher entropy means the word tends to split the remaining candidates into more balanced groups.
• E[steps]: An approximate expected number of guesses needed to find the answer if you start by using this word, given the current candidate pool. Just like in the Next Guess Recommender, follow-up guesses used for E[steps] are chosen only from the current candidates, not from the external pool.
• E[cands]: The expected number of candidates remaining after using this word as a guess. Smaller values mean the word tends to cut down the solution space more aggressively.
• Max Bucket: The size of the largest remaining group of candidates after this guess. Smaller Max Bucket means fewer “worst-case” scenarios.
• Deep E[steps] (checkbox): When enabled, the Word Analyzer uses a much deeper lookahead model for computing E[steps], offering a result closer to the true expected number of steps. This mode is considerably slower on large candidate sets. When unchecked, the faster shallow approximation is used instead.
• Pattern Distribution: For the entered word, the analyzer also shows a full breakdown of all feedback patterns (🟩🟨⬛ combinations) and how many candidates fall into each pattern. This view helps you understand:
  • how the word partitions the remaining candidates,
  • how balanced the resulting branches are,
  • why entropy, E[cands], and Max Bucket have their specific values.

• ?: Exactly one letter (e.g.,A?E→ACE, APE, ARE)
• *: Zero or more letters (e.g.,E*E→AGREE, EAGLE, EERIE)
• [AEIOU]: Any one listed; [^AEIOU]: Not these (e.g.,[^AEIOU]ATE→SLATE, CRATE)
• &: AND; |: OR (AND has higher precedence)
• ( ): Group terms (e.g.,(ING & R) | (A?E & N))

This tool is an independent, unofficial helper for the game Wordle. It is provided for educational and entertainment purposes only.

All word lists, recommendations, and computed results are provided “as is” with no guarantees of accuracy or completeness. Actual Wordle answers may differ from the words shown or suggested here.

Wordle is a trademark of The New York Times Company. This site is not affiliated with, endorsed by, or associated with The New York Times or Wordle.