Word Unscrambler Pro

Adding too many contain letters too early over-constrains results and makes you think no play exists.

Start broad with length and excludes. Add contains only for confirmed board constraints.

If your result list collapses suddenly, remove one filter at a time to find the accidental blocker.

This step-by-step narrowing mirrors how strong players evaluate options under time pressure.

The contains filter specifies that at least one instance of a chosen letter must appear in every returned result. It is designed for board-constrained scenarios — when a tile on the board forces your word to use a specific letter in order to extend or connect. Using this filter correctly multiplies the value of the solver by matching your actual game position rather than returning a generic list of playable words.

The most frequent misuse pattern is stacking multiple contains constraints before checking results. When a player adds the letters C, H, and A as simultaneous contains requirements, the result set collapses to words that must include all three letters. If even one of those three contains letters was entered by mistake or is not actually required, the result list may return zero valid plays — creating a false impression that no good move exists.

The correct filtering sequence is: (1) set word length, (2) add any excluded letters from your rack or board constraints, (3) add at most one or two contains letters confirmed by the board position. This order keeps the result set broad enough to show you genuine options before each new constraint narrows the pool. You can always tighten filters after seeing initial results; it is harder to identify which constraint is causing zero results after the fact.

When your result list suddenly collapses to zero or one result, the debugging process is simple: remove the last filter you added and check whether results reappear. If they do, that last constraint was too aggressive or incorrectly specified. If removing the last filter does not help, remove the one before that. Isolating the accidental blocker one filter at a time takes only ten seconds but prevents several minutes of confusion during a timed game.

The contains filter differs from the starts-with and ends-with filters in important ways. Starts-with and ends-with fix a letter to a specific position at the beginning or end of the word. Contains only requires the letter to appear somewhere in the word without specifying where. For most board extension scenarios, contains is the right choice unless you know the fixed position of the required letter. Using starts-with or ends-with when you actually need contains will exclude valid words that match your constraint but sit in the middle of the word.

Position-specific contains is a more advanced filter available in some solvers. Rather than simply requiring a letter to appear somewhere in the word, position-specific contains allows you to require a letter at a specific index — for example, the letter E must appear as the third letter. This filter is useful when extending onto a board tile where you know both the letter value and its position within the new word. Mastering position-specific contains removes the need to visually scan long result lists for matches.

Combining contains with a minimum-length filter effectively creates a subset for long words passing through a specific letter. If you need to place a seven-letter or longer word that uses the letter V somewhere in the middle, adding length-7-plus and contains-V together focuses the list on exactly the words worth evaluating. Without the length constraint, the contains-V list includes short VI and AV words that are unlikely to be relevant to a seven-tile rack scenario.

The contains filter can help you find hook words — valid words formed by adding one letter to an existing word already on the board. If the word CAT is on the board and you want to find all words that contain the sequence CAT (adding before or after), the contains filter with a multi-letter string such as CAT returns all words containing that substring. This approach surfaces SCATTER, LOCATE, CATALOG, and similar options that extend the existing CAT tile group.

Parallel play discovery is another use for the contains filter. When you want to build a word parallel to a horizontal row, some letters in your new word must cross specific existing tiles. Entering those crossing letters as multiple contains constraints narrows the result list to words that could physically fit the parallel lane. While this produces many false positives that require visual validation, it eliminates the majority of words that could never fit the specific lane configuration.

One underused application of the contains filter is identifying words with uncommon letters like Q, Z, J, or X when those tiles are stuck in your rack. Enter the awkward letter as a contains constraint along with a length of three to five letters. The resulting list shows every short word using that letter, many of which are obscure but valid plays. This technique converts a seemingly unplayable rack into a list of legitimate options in seconds.

Filter debugging becomes a teachable skill with practice. After resolving a zero-result situation by removing an incorrect constraint, make note of which filter type caused the issue — was it an over-specified contains, a conflicting excludes, or a length too narrow for available tiles? Keeping a mental or written log of common filtering mistakes helps you avoid the same errors in future sessions and builds systematic, reliable solver technique.

The deeper lesson behind contains filter misuse is one of constraint ordering and minimalism. Apply the fewest constraints needed to make the result list useful. Adding every known filter simultaneously produces an artificially narrow list that hides viable plays. Strong solver users apply constraints in a deliberate sequence, evaluate the current result set, and only add the next constraint when the current results are still too broad to evaluate efficiently. This disciplined approach is faster and more accurate than a shotgun approach to filtering.