EFFER
EFFER is an accepted guess. Its modelled answer likelihood is very unlikely; no globally completed appearance is recorded here.
Meaning and pronunciation
- Noun
-
Fucker.
Source: Wiktionary contributors · CC BY-SA 4.0. Corrections.
Use EFFER in a puzzle
As an opener, it rules out about 83.3% of possible answers.
Wordle status
Answer chance: very unlikely. Roughly 0.05% within a year (about 1 in 2,113), under the model through 2026-11-05. This is an estimate, not a publisher forecast. How this is calculated.
Playable guess
YesIncluded in the Wordle guess list used by our tools.
Earlier benchmark pool
NoMembership in the preserved uniform benchmark; it is not a future eligibility rule.
Past Wordle answer
No completed appearanceNo appearance in our globally completed history. A recent puzzle may still be live elsewhere.
The possible-answer list is the solver's current list and may change when Wordle adds new answers.
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See what the public sample says →How EFFER performs as a guess
Wordle accepts EFFER as a guess. It is outside this preserved uniform benchmark’s answer pool; that is not a claim about future eligibility.
Played as an opener, it lands at least one colored tile in 66.9% of games, misses completely in 33.1%, and leaves about 399 possible answers on average.
In the previous complete opener benchmark, it ranks #14,353 of 14,855 openers, averaging 3.94 guesses in games solved within six turns.
Try your feedback pattern
Tap the tiles to match your feedback, then see the ranked follow-up guesses.
Useful pattern pages
If you only know part of the word, start with one of these matching patterns.
First-turn measures
All four describe EFFER used as an opening guess. Entropy is the same idea as “avg ruled out” on a log scale: a higher number means the guess splits the possible answers into more, smaller groups.
As an opening guess: previous benchmark
How EFFER performed in the previous complete opener benchmark, against its captured answer snapshot. These research figures are separate from today's solver recommendations. See the data page for the method.
Composition
Feedback chances
When EFFER is useful later
No standout example in the positions tested. All 108 sampled states were checked; EFFER was legal in 54.
Sample and method
Every saved board is reachable within a six-turn game. Remaining turns equal six minus the saved history length. The sampling policy is independent of the expected-survivor metric. Two states at each of three depths per opener were selected by a fixed hash from an independent candidate-only sampling policy. Every accepted guess was evaluated. Model answer-model-2026-11-05-9183a914c959, data through 2026-11-05. The score measures expected survivors, not proved solve length or human difficulty.
How the solver finds EFFER
The strategy receives only earlier guesses and their feedback. It does not know the answer before choosing a move. Guessing the answer itself on turn one is a lucky one-turn result, not a recommended general strategy.
Normal mode
Our solver: bounded weighted policy. Current-pool replay over 14,855 accepted words. Model through 2026-11-05.
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The fixed opener tests its five letters.
14,855 before → 427 after. This feedback leaves 427 candidates.
All 427 surviving candidates
BEERY, BEVER, BEVOR, BIDER, BIKER, BINER, BLUER, BONER, BOWER, BOXER, BREED, BREEM, BREER, BREID, BRIEF, BRIER, BUYER, CEDER, CEORL, CHEER, CIDER, CLERK, CODER, COMER, COOER, COPER, COVER, COWER, COYER, CREDO, CREED, CREEK, CREEL, CREEP, CREIN, CREPY, CRIED, CRIER, CRUEL, CRYER, CUBER, CYBER, CYDER, DEBUR, DECOR, DECRY, DEFER, DEMUR, DICER, DIKER, DIMER, DINER, DIVER, DONER, DOPER, DOVER, DOWER, DOZER, DRECK, DREED, DREER, DRIED, DRIER, DRYER, DUPER, EDGER, EEVER, EFFER, EGGER, EIDER, ELDER, ELVER, EMBER, EMEER, EMERG, EMERY, EMMER, ENDER, ENORM, ENURN, EPHOR, ERGON, ERICK, ERING, ERNED, ERUGO, ERVEN, ERVIL, EVERY, EXIER, EXURB, FEMUR, FEVER, FEWER, FEYER, FIBER, FIERI, FIERY, FIFER, FILER, FINER, FIVER, FIXER, FLEER, FLEUR, FLIER, FLYER, FOUER, FOYER, FREED, FREER, FREMD, FREON, FRIED, FRIER, FRYER, FUERO, FUMER, GEBUR, GENRO, GEYER, GIBER, GIVER, GLUER, GOFER, GOIER, GOMER, GONER, GREBO, GREED, GREEK, GREEN, GREGO, GREIN, GRIEF, GRUED, GRUEL, GYVER, HEDER, HENRY, HEWER, HEXER, HIDER, HIKER, HIPER, HIVER, HOMER, HONER, HOPER, HOVER, HUGER, HYPER, ICIER, ICKER, IDLER, ILLER, INERM, INFER, INKER, INNER, INVER, IRKED, JIBER, JIVER, JOKER, KEFIR, KEYER, KHEER, KOKER, KREEF, KREEN, KREEP, KRENG, LEERY, LEGER, LEMUR, LEPER, LEVER, LIBER, LIFER, LIGER, LIKER, LINER, LIVER, LONER, LOPER, LOVER, LOWER, LUGER, LUXER, MILER, MIMER, MINER, MIXER, MODER, MOKER, MOLER, MONER, MOPER, MOVER, MOWER, NEGRI, NEGRO, NEPER, NEVER, NEWER, NICER, NIGER, NINER, NIXER, NUDER, OCHER, OCKER, ODDER, OFFER, OGLER, OILER, OLDER, OLLER, OMBER, ONCER, ONERY, OPERY, ORBED, ORDER, ORIEL, ORMER, ORPED, OWLER, OWNER, PEDRO, PEERY, PHEER, PIKER, PILER, PINER, PIPER, PIZER, PLIER, PLYER, POKER, POLER, POWER, PREDY, PREED, PREEM, PREEN, PREIF, PREMY, PREON, PREOP, PREUX, PREXY, PRIED, PRIEF, PRIER, PROEM, PRYER, PUCER, PUKER, PULER, QUEER, QUERN, QUERY, REBEC, REBEL, REBID, REBOP, REBUD, REBUY, RECCO, RECCY, RECEP, RECON, RECUR, REDDY, REDED, REDID, REDIF, REDIG, REDIP, REDLY, REDON, REDOX, REDRY, REDUB, REDUG, REDUX, REECH, REEDY, REEFY, REEKY, REELY, REERD, REFED, REFEL, REFER, REFFO, REFIX, REFLY, REFRY, REGEX, REGGO, REGUR, REHEM, REIFY, REIGN, REIKI, REING, REINK, REIRD, REJIG, REJON, REKED, REKEY, RELIC, RELLO, REMEN, REMEX, REMIX, REMOU, RENDU, RENEW, RENEY, RENIG, RENIN, REOIL, REORG, REPEG, REPEL, REPEN, REPIN, REPLY, REPRO, REPUN, REVEL, REVOW, REWED, REWIN, REWON, RHEID, RHEUM, RICED, RICER, RICEY, RIDER, RIFER, RILED, RILEY, RIMED, RIMER, RIPED, RIPEN, RIPER, RIVED, RIVEL, RIVEN, RIVER, ROBED, ROBER, RODED, RODEO, ROGER, ROKED, ROKER, ROKEY, ROLEO, ROMEO, ROMER, RONEO, ROPED, ROPER, ROPEY, ROUEN, ROVED, ROVEN, ROVER, ROWED, ROWEL, ROWEN, ROWER, RUBEL, RUDER, RULED, RULER, RUMEN, RUNED, RUNER, RYKED, RYMER, RYPER, UDDER, ULCER, UMBER, UNDER, UPPER, URBEX, UREDO, UREIC, UREID, URGED, URGER, URNED, URPED, VEERY, VEXER, VEZIR, VILER, VINER, VIPER, VIVER, VOMER, VOWER, WEBER, WEIRD, WIDER, WIPER, WIVER, WOKER, WOOER, WRECK, WRIED, WRIER, WRYER, YOKER, YRNEH, ZONER
Decision measures before feedback
Expected remaining candidates: 414.45. Information: 5.74 bits. These measures describe the decision before its realised feedback.
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Test OILER against the 427 candidates consistent with the earlier rows.
427 before → 58 after. This feedback leaves 58 candidates.
All 58 surviving candidates
BEVER, BREER, BUYER, CEDER, CHEER, CRYER, CUBER, CYBER, CYDER, DEFER, DREER, DRYER, DUPER, EDGER, EEVER, EFFER, EGGER, EMBER, EMEER, EMMER, ENDER, FEVER, FEWER, FEYER, FREER, FRYER, FUMER, GEYER, GYVER, HEDER, HEWER, HEXER, HUGER, HYPER, KEYER, KHEER, NEPER, NEVER, NEWER, NUDER, PHEER, PRYER, PUCER, PUKER, QUEER, REFER, RUDER, RUNER, RYMER, RYPER, UDDER, UMBER, UNDER, UPPER, URGER, VEXER, WEBER, WRYER
Decision measures before feedback
Expected remaining candidates: 27.387. Information: 4.045 bits. These measures describe the decision before its realised feedback.
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Test FEWER against the 58 candidates consistent with the earlier rows.
58 before → 1 after. This feedback leaves 1 candidate.
All 1 surviving candidates
EFFER
Decision measures before feedback
Expected remaining candidates: 6.526. Information: 2.162 bits. These measures describe the decision before its realised feedback.
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Submit the only remaining candidate.
1 before → 1 after. The answer is submitted and solved.
All 1 surviving candidates
EFFER
Decision measures before feedback
Expected remaining candidates: 1.0. Information: 0.0 bits. These measures describe the decision before its realised feedback.
Solved in 4 guesses. Uniquely identified on turn 3.
Continue this board in the SolverHard Mode
Our solver: bounded weighted policy. Current-pool replay over 14,855 accepted words. Model through 2026-11-05.
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The fixed opener tests its five letters.
14,855 before → 427 after. This feedback leaves 427 candidates.
All 427 surviving candidates
BEERY, BEVER, BEVOR, BIDER, BIKER, BINER, BLUER, BONER, BOWER, BOXER, BREED, BREEM, BREER, BREID, BRIEF, BRIER, BUYER, CEDER, CEORL, CHEER, CIDER, CLERK, CODER, COMER, COOER, COPER, COVER, COWER, COYER, CREDO, CREED, CREEK, CREEL, CREEP, CREIN, CREPY, CRIED, CRIER, CRUEL, CRYER, CUBER, CYBER, CYDER, DEBUR, DECOR, DECRY, DEFER, DEMUR, DICER, DIKER, DIMER, DINER, DIVER, DONER, DOPER, DOVER, DOWER, DOZER, DRECK, DREED, DREER, DRIED, DRIER, DRYER, DUPER, EDGER, EEVER, EFFER, EGGER, EIDER, ELDER, ELVER, EMBER, EMEER, EMERG, EMERY, EMMER, ENDER, ENORM, ENURN, EPHOR, ERGON, ERICK, ERING, ERNED, ERUGO, ERVEN, ERVIL, EVERY, EXIER, EXURB, FEMUR, FEVER, FEWER, FEYER, FIBER, FIERI, FIERY, FIFER, FILER, FINER, FIVER, FIXER, FLEER, FLEUR, FLIER, FLYER, FOUER, FOYER, FREED, FREER, FREMD, FREON, FRIED, FRIER, FRYER, FUERO, FUMER, GEBUR, GENRO, GEYER, GIBER, GIVER, GLUER, GOFER, GOIER, GOMER, GONER, GREBO, GREED, GREEK, GREEN, GREGO, GREIN, GRIEF, GRUED, GRUEL, GYVER, HEDER, HENRY, HEWER, HEXER, HIDER, HIKER, HIPER, HIVER, HOMER, HONER, HOPER, HOVER, HUGER, HYPER, ICIER, ICKER, IDLER, ILLER, INERM, INFER, INKER, INNER, INVER, IRKED, JIBER, JIVER, JOKER, KEFIR, KEYER, KHEER, KOKER, KREEF, KREEN, KREEP, KRENG, LEERY, LEGER, LEMUR, LEPER, LEVER, LIBER, LIFER, LIGER, LIKER, LINER, LIVER, LONER, LOPER, LOVER, LOWER, LUGER, LUXER, MILER, MIMER, MINER, MIXER, MODER, MOKER, MOLER, MONER, MOPER, MOVER, MOWER, NEGRI, NEGRO, NEPER, NEVER, NEWER, NICER, NIGER, NINER, NIXER, NUDER, OCHER, OCKER, ODDER, OFFER, OGLER, OILER, OLDER, OLLER, OMBER, ONCER, ONERY, OPERY, ORBED, ORDER, ORIEL, ORMER, ORPED, OWLER, OWNER, PEDRO, PEERY, PHEER, PIKER, PILER, PINER, PIPER, PIZER, PLIER, PLYER, POKER, POLER, POWER, PREDY, PREED, PREEM, PREEN, PREIF, PREMY, PREON, PREOP, PREUX, PREXY, PRIED, PRIEF, PRIER, PROEM, PRYER, PUCER, PUKER, PULER, QUEER, QUERN, QUERY, REBEC, REBEL, REBID, REBOP, REBUD, REBUY, RECCO, RECCY, RECEP, RECON, RECUR, REDDY, REDED, REDID, REDIF, REDIG, REDIP, REDLY, REDON, REDOX, REDRY, REDUB, REDUG, REDUX, REECH, REEDY, REEFY, REEKY, REELY, REERD, REFED, REFEL, REFER, REFFO, REFIX, REFLY, REFRY, REGEX, REGGO, REGUR, REHEM, REIFY, REIGN, REIKI, REING, REINK, REIRD, REJIG, REJON, REKED, REKEY, RELIC, RELLO, REMEN, REMEX, REMIX, REMOU, RENDU, RENEW, RENEY, RENIG, RENIN, REOIL, REORG, REPEG, REPEL, REPEN, REPIN, REPLY, REPRO, REPUN, REVEL, REVOW, REWED, REWIN, REWON, RHEID, RHEUM, RICED, RICER, RICEY, RIDER, RIFER, RILED, RILEY, RIMED, RIMER, RIPED, RIPEN, RIPER, RIVED, RIVEL, RIVEN, RIVER, ROBED, ROBER, RODED, RODEO, ROGER, ROKED, ROKER, ROKEY, ROLEO, ROMEO, ROMER, RONEO, ROPED, ROPER, ROPEY, ROUEN, ROVED, ROVEN, ROVER, ROWED, ROWEL, ROWEN, ROWER, RUBEL, RUDER, RULED, RULER, RUMEN, RUNED, RUNER, RYKED, RYMER, RYPER, UDDER, ULCER, UMBER, UNDER, UPPER, URBEX, UREDO, UREIC, UREID, URGED, URGER, URNED, URPED, VEERY, VEXER, VEZIR, VILER, VINER, VIPER, VIVER, VOMER, VOWER, WEBER, WEIRD, WIDER, WIPER, WIVER, WOKER, WOOER, WRECK, WRIED, WRIER, WRYER, YOKER, YRNEH, ZONER
Decision measures before feedback
Expected remaining candidates: 414.45. Information: 5.74 bits. These measures describe the decision before its realised feedback.
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Test OILER against the 427 candidates consistent with the earlier rows.
427 before → 58 after. This feedback leaves 58 candidates.
All 58 surviving candidates
BEVER, BREER, BUYER, CEDER, CHEER, CRYER, CUBER, CYBER, CYDER, DEFER, DREER, DRYER, DUPER, EDGER, EEVER, EFFER, EGGER, EMBER, EMEER, EMMER, ENDER, FEVER, FEWER, FEYER, FREER, FRYER, FUMER, GEYER, GYVER, HEDER, HEWER, HEXER, HUGER, HYPER, KEYER, KHEER, NEPER, NEVER, NEWER, NUDER, PHEER, PRYER, PUCER, PUKER, QUEER, REFER, RUDER, RUNER, RYMER, RYPER, UDDER, UMBER, UNDER, UPPER, URGER, VEXER, WEBER, WRYER
Decision measures before feedback
Expected remaining candidates: 27.387. Information: 4.045 bits. These measures describe the decision before its realised feedback.
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Test FEWER against the 58 candidates consistent with the earlier rows.
58 before → 1 after. This feedback leaves 1 candidate.
All 1 surviving candidates
EFFER
Decision measures before feedback
Expected remaining candidates: 6.526. Information: 2.162 bits. These measures describe the decision before its realised feedback.
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Submit the only remaining candidate.
1 before → 1 after. The answer is submitted and solved.
All 1 surviving candidates
EFFER
Decision measures before feedback
Expected remaining candidates: 1.0. Information: 0.0 bits. These measures describe the decision before its realised feedback.
Solved in 4 guesses. Uniquely identified on turn 3.
Continue this board in the SolverHow the fixed opener panel performs on this answer
| Opener | First feedback | Survivors | Normal | Hard Mode |
|---|---|---|---|---|
| TARSE | 00101 (0 grey, 1 yellow, 2 green) | 427 | 4 | 4 |
| CRANE | 01001 (0 grey, 1 yellow, 2 green) | 713 | Not solved in six | Not solved in six |
| SLATE | 00001 (0 grey, 1 yellow, 2 green) | 942 | 5 | 5 |
| ADIEU | 00020 (0 grey, 1 yellow, 2 green) | 759 | 5 | 6 |
| STARE | 00011 (0 grey, 1 yellow, 2 green) | 488 | 6 | 6 |
| AUDIO | 00000 (0 grey, 1 yellow, 2 green) | 1251 | 4 | 4 |
| RAISE | 10001 (0 grey, 1 yellow, 2 green) | 372 | 5 | 5 |
| ROATE | 10001 (0 grey, 1 yellow, 2 green) | 508 | 5 | 5 |
| SALET | 00020 (0 grey, 1 yellow, 2 green) | 608 | 5 | 5 |
- Normal mode
- 1 guess: 0 · 2 guesses: 0 · 3 guesses: 0 · 4 guesses: 2 · 5 guesses: 5 · 6 guesses: 1 · Failed in six: 1
- Hard Mode
- 1 guess: 0 · 2 guesses: 0 · 3 guesses: 0 · 4 guesses: 2 · 5 guesses: 4 · 6 guesses: 2 · Failed in six: 1
The nine openers use the same pool and continuation policy. Across both modes: 4–6 guesses among successes; 2 of 18 configurations failed. This is performance on this answer, not an overall opener ranking.
32 openers set up a two-turn opportunity; examples include OFTEN, OFFER, REFER, FEWER, FEVER, FEEDS, REEFS, DEFER, AFORE, ELFIN. After their feedback, this answer is among the most likely survivors with at least half the model probability. This is an opportunity, not a guarantee. An opener that immediately solves is excluded.
Why this answer can be difficult
The answer contains 2 copies of E, 2 copies of F. Feedback allocates exact matches before misplaced copies; a grey duplicate does not erase another coloured copy.
Vocabulary evidence and voluntary player results are reported separately from these solver observations.
A lesson from this route
This route identifies the answer on turn 3. Identifying a unique candidate and submitting it are separate actions.
Try another opener or a different move
How this is calculated
The current policy checks all remaining candidates and up to 128 fixed probes. At six or fewer candidates it uses bounded lookahead, preferring modelled six-turn success, then speed among successes. Larger states use expected survivors as a heuristic. These are recommendations, not proofs of optimal play. Hard Mode retains green positions and revealed letter counts; it allows grey letters and a yellow in the same position. Candidate-only play is stricter.
Feedback distribution
EFFER can come back 54 different ways. These are the most likely, and how many of the possible answers give each one:
Letter-value totals
Base letter-value totals for EFFER; these do not show whether either game accepts the word.
Scrabble
Words With Friends
Scores shown are base values without double/triple letter or word bonuses.
Try next
Strategy after playing EFFER
What the solver recommends next for each way the board can respond to EFFER.
Quick reference
Largest feedback groups after playing EFFER:
Research on EFFER
Game-tree analysis and word research for EFFER, with an explanation for each figure.
Optimal play
Opening with EFFER, a proven-optimal strategy averages 3.94 guesses and ranks #14,327 of 14,855 legal openers. The best proven opener, TARSE, averages 3.55.
No guaranteed hard-mode solve In hard mode, no strategy that opens with EFFER can guarantee a solve within six guesses.
Our six-turn simulation says 3.94, at or below the proven-optimal 3.94, because the two figures score different answer lists.
These figures come from exhaustive game-tree search and are exact for the NYT lists of July 2023 (3,158 answers). They do not use the site's working answer pool.
Familiarity and learning
- Frequency
- EFFER sits in the rare band of the wordfreq scale, appearing less than once per million words in the source corpus. Corpus frequency does not measure every reader’s familiarity.
Sources: Optimal-play values: Alex Selby's exhaustive Wordle analysis (MIT); Word frequency: wordfreq (data CC BY-SA 4.0).