A guess is a question
Ask what possible answers the guess will distinguish. If the answer is unclear, the guess may not be informative.
Guide Strategy Dashboard
CornerstoneIntroduction
The concept in practical Wordle terms.
Information gain is the value of the clue a guess produces. In Wordle, a guess asks the game a question. The answer is the pattern of green, yellow, and gray tiles. A high-information guess creates feedback that meaningfully changes what you should do next.
This is why strong openers often use common unique letters. They are not only trying to be correct. They are trying to produce a useful response across many possible answers. Later in the game, information gain becomes more targeted: the best clue is the one that separates the exact candidates still alive.
Why It Matters
How this idea changes real solving decisions.
Information gain matters because Wordle rewards learning. A guess that tests five new useful letters can be better than a plausible answer if the board is still broad. On the other hand, when the board is narrow, a high-information move might be a direct solve attempt.
Understanding information gain also reduces emotional bias. A guess that turns all gray may feel bad, but it can be excellent if it removes a large chunk of the answer list. A guess that turns one tile green may feel good but still leave a massive trap.
Core Principles
Use these rules before choosing the next guess.
Unique letters matter early
Five unique useful letters create more possible feedback than repeated or rare-letter guesses.
Position information matters
A green tile is powerful because it fixes a slot. A yellow tile is also powerful because it removes one position.
Information should be relevant
Late-game information must separate the current candidates, not the full dictionary.
Real Examples
Board situations that show the strategy in action.
| Scenario | Board | Lesson | Move |
|---|---|---|---|
| Useful all-gray | ROATE -> ----- | R, O, A, T, and E are gone, which is enormous information. | Shift toward I/U/Y and consonants such as S, L, N, C, H, D, and P. |
| Misleading green | SHARE -> G---- | S first is useful, but the rest of the board may still be broad. | Use a second guess that tests O, I, T, L, N, and C rather than guessing another random S word. |
| Targeted information | _OUND family remains | The useful clue is the first letter, not general vowel coverage. | Choose a move that separates SOUND, FOUND, MOUND, ROUND, and BOUND. |
Common Mistakes
The habits that make this concept harder to use.
Thinking only about the answer
Early guesses should often ask useful questions, not simply try to be correct.
Ignoring all-gray value
All-gray results from strong words can remove many candidates and set up an efficient second turn.
Using broad information too late
Once the board is narrow, a broad word that does not separate remaining candidates may be wasteful.
Expert Tips
Advanced habits that improve repeated play.
Count what changes after the guess
A good guess should leave you with a noticeably smaller or better-organized candidate pool.
Value position tests
Words that place common letters in useful positions often teach more than words that merely contain common letters.
Use information gain to choose follow-ups
After an opener, choose the follow-up that answers what the colors made uncertain.
Review decisions separately from results
A high-information guess can be unlucky. That does not make the decision bad.
Comparison Section
Related concepts that players often mix together.
| Comparison | First idea | Second idea | Takeaway |
|---|---|---|---|
| Information gain vs frequency | Information gain asks what the feedback teaches. | Frequency asks how common the letters are. | Good guesses often use both, but they are not the same. |
| Information gain vs candidate reduction | Information gain predicts or explains clue value. | Candidate reduction counts the answers removed. | Information gain is the reason reduction happens. |
| Information gain vs direct solving | Information moves reduce uncertainty. | Solve moves try to end the game. | Use information early and direct solving when the pool is small. |
Practical Applications
How to apply the concept in real games.
Choosing openers
Pick openers that combine common letters, unique tiles, and useful positions.
Choosing second guesses
Let the first pattern decide whether you need new letters, vowel placement, or a direct solve.
Escaping traps
When a trap family remains, the best information is the letter or position that splits that family.
Related Tools
Use these tools to turn the strategy into repeatable decisions.
Wordle Information Gain Guide FAQs
Short answers for common questions about this topic.
What is information gain in Wordle?
Information gain is the amount of useful clue value a guess produces through its color pattern.
Is information gain the same as entropy?
Entropy is a mathematical way to estimate expected information gain before the guess is played.
Can an all-gray guess have high information gain?
Yes. If the guess contains strong common letters, all-gray feedback can remove many candidates.
Are green tiles always the best information?
Green tiles are powerful, but yellow and gray clues can also remove large answer families.
When should I stop seeking information?
When the candidate pool is small enough that a direct solve or trap-specific guess is stronger.
How do I choose a high-information word?
Use unique useful letters, good positions, and letters that separate the current candidate pool.
Does hard mode reduce information gain?
Hard mode reduces the available information plays because every guess must preserve known clues.
Which tools help with information gain?
The Wordle Entropy Calculator, Guess Efficiency Calculator, and Wordle Analyzer all help study information gain.