Very unlikely Accepted guess C tier for first-turn info

LISES

LISES is an accepted guess. Its modelled answer likelihood is very unlikely; no globally completed appearance is recorded here.

No dictionary definition for LISES is recorded in our sourced data.

Meaning and pronunciation

We do not have a sourced definition for this word yet.

Check LISES on Wiktionary or report a missing entry.

Use LISES in a puzzle

As an opener, it rules out about 92.9% 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

Yes

Included in the Wordle guess list used by our tools.

Earlier benchmark pool

No

Membership in the preserved uniform benchmark; it is not a future eligibility rule.

Past Wordle answer

No completed appearance

No 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.

How LISES performs as a guess

Wordle accepts LISES 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 82.8% of games, misses completely in 17.2%, and leaves about 170 possible answers on average.

In the previous complete opener benchmark, it ranks #10,068 of 14,855 openers, averaging 3.76 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.

All gray? Tap a tile to cycle gray → yellow → green.

First-turn measures

All four describe LISES 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.

4.57 Entropy (bits)
170 Avg remaining
0.0% Exact match
92.9% Avg ruled out

As an opening guess: previous benchmark

How LISES 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.

3.76 Avg guesses
99.83% Solved within six
0.73 Spread of game lengths
#10,068 Rank among openers
Opening with LISES left 4 of the snapshot's answers unsolved after six guesses. A spread of 0.73 means those games clustered within about 0.73 of a guess of the 3.76 average. It ranks #10,068 of 14,855 openers by average guesses in games solved within six.
1 guess
0
2 guesses
55
3 guesses
785
4 guesses
1,194
5 guesses
293
6 guesses
23

Composition

4/5 unique
2 vowels
Common:
EILS

Feedback chances

Any hit (G/Y)
83%
Green tile
27%
All gray
17%

When LISES is useful later

LISES tied for the smallest expected survivor count in 3 of 54 sampled positions where it was legal. This designed sample is not a measure of how often real players should use it.

After ADIEU: 4 candidates, normal mode

ADIEU: 02000 (0 = grey, 1 = yellow, 2 = green).

Remaining answers: ODDLY, ODOOM, ODORS, ODYLS.

With a budget of 5 more guesses, LISES is an information probe, outside this survivor list. It leaves 1.00 candidates on average under the model. Every feedback identifies a single candidate; another turn may be needed to submit it.

Try this position in the Solver
After AUDIO: 3 candidates, normal mode

AUDIO: 11200 (0 = grey, 1 = yellow, 2 = green).

Remaining answers: LADDU, SADHU, UNDAM.

With a budget of 5 more guesses, LISES is an information probe, outside this survivor list. It leaves 1.00 candidates on average under the model. Every feedback identifies a single candidate; another turn may be needed to submit it.

Try this position in the Solver
After ROATE: 3 candidates, normal mode

ROATE: 10101 (0 = grey, 1 = yellow, 2 = green).

AWNER: 10011 (0 = grey, 1 = yellow, 2 = green).

ZEBRA: 01012 (0 = grey, 1 = yellow, 2 = green).

Remaining answers: CREMA, ERICA, PRESA.

With a budget of 3 more guesses, LISES is an information probe, outside this survivor list. It leaves 1.00 candidates on average under the model. Every feedback identifies a single candidate; another turn may be needed to submit it.

Try this position in the Solver
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 this is calculated.

How the solver finds LISES

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.

  1. The fixed opener tests its five letters.

    14,855 before → 853 after. This feedback leaves 853 candidates.

    All 853 surviving candidates

    BECKS, BEDES, BEEFS, BEEPS, BEINS, BELLS, BENDS, BENES, BENIS, BESES, BESOM, BEZES, BHELS, BIBES, BICES, BIDES, BIKES, BILES, BINES, BISES, BIZES, BLEBS, BLEES, BLEYS, BLUES, BODES, BOEPS, BOKES, BOLES, BONES, BOSEY, BOWES, BOXES, BUDES, BUKES, BUSED, BUSES, BYDES, BYKES, CEDES, CEDIS, CEILS, CELLS, CEPES, CHEFS, CHEMS, CHEWS, CIDES, CIELS, CINES, CIVES, CLEFS, CLEGS, CLEMS, CLEWS, CLIES, CLUES, CODES, COEDS, COKES, COLES, COMES, CONES, COPES, COSEC, COSED, COSES, COSEY, COVES, COXES, COZES, CUBES, CUKES, CUSEC, CUZES, CYMES, DEBES, DEBUS, DECKS, DECOS, DEEDS, DEEMS, DEENS, DEEPS, DEEVS, DEFIS, DEGUS, DEIDS, DEILS, DEKES, DELES, DELFS, DELIS, DELLS, DELOS, DEMES, DEMOS, DENES, DENIS, DESEX, DESHI, DESIS, DESKS, DEVIS, DEVOS, DEXES, DEXYS, DICES, DIEBS, DIELS, DIKES, DIMES, DINES, DIVES, DOBES, DOEKS, DOGES, DOLES, DOMES, DOPES, DOSED, DOSEH, DOSES, DOVES, DOXES, DOZES, DUCES, DUDES, DUELS, DUKES, DULES, DUNES, DUPES, DUXES, DYKES, DYNES, EBONS, ECHES, ECHOS, ECIGS, EDGES, EEVNS, EIDOS, EILDS, EISEL, ELOPS, ELSIN, ELVES, EMBUS, EMEUS, EMICS, EMMYS, EMYDS, ENEWS, ENOLS, ENOWS, ENSEW, ENSKY, EOSIN, EPEES, EPICS, EQUES, ESNES, ESSES, EUGHS, EUSOL, EVEGS, EVENS, EVILS, EXECS, EXIES, EXONS, EXPOS, EXULS, FECES, FECKS, FEEBS, FEEDS, FEELS, FEENS, FELLS, FEMES, FENDS, FENIS, FENKS, FEODS, FEUDS, FEZES, FICES, FIDES, FIEFS, FIFES, FIKES, FILES, FINES, FIVES, FIXES, FLEES, FLEGS, FLEWS, FLEYS, FLIES, FLOES, FLUES, FOMES, FONES, FOXES, FUELS, FUMES, FUSED, FUSEL, FUSES, FUZES, FYCES, FYKES, FYLES, GECKS, GEEKS, GEEPS, GELDS, GENES, GENUS, GEUMS, GHEES, GIBES, GIVES, GLEDS, GLEES, GLEIS, GLENS, GLEYS, GLUES, GOELS, GOKES, GOLES, GOVES, GOXES, GUDES, GULES, GYBES, GYPES, GYVES, HEBES, HECKS, HEEDS, HEELS, HEIDS, HEILS, HELES, HELLS, HELMS, HELOS, HELPS, HEMES, HEMPS, HENDS, HESPS, HEXES, HIDES, HIEMS, HIKES, HIPES, HIVES, HOKES, HOLES, HOMES, HONES, HOPES, HOSED, HOSEL, HOSEN, HOSES, HOSEY, HOVES, HOWES, HOXES, HUIES, HULES, HYENS, HYKES, HYLES, HYPES, ICHES, IDEES, IDLES, ILEUS, ISHES, ISLED, ISLES, ISSEI, IVIES, JEDIS, JEELS, JEEPS, JEFES, JEFFS, JEHUS, JELLS, JEONS, JESUS, JIBES, JIVES, JOBES, JOEYS, JOKES, JOLES, JONES, JUBES, JUKES, JUPES, JUVES, KECKS, KEEFS, KEEKS, KEELS, KEENS, KEEPS, KELLS, KELPS, KEMBS, KEMPS, KENOS, KEPIS, KEXES, KIBES, KIEFS, KIEVS, KIKES, KINES, KIPES, KNEES, KOELS, KOSES, KYLES, KYPES, LEDES, LEEKS, LEEPS, LEGES, LEMES, LENDS, LENES, LENGS, LENIS, LENOS, LESBO, LESES, LESOS, LEUDS, LEVES, LEVIS, LEWIS, LEXES, LEXIS, LEZES, LIEFS, LIENS, LIEUS, LIFES, LIKES, LIMES, LINES, LIPES, LISES, LIVES, LOBES, LODES, LOGES, LOKES, LOMES, LOPES, LOSED, LOSEL, LOSEN, LOSES, LOVES, LOWES, LOXES, LUBES, LUCES, LUDES, LUGES, LUNES, LUXES, LWEIS, LYMES, LYNES, LYSED, LYSES, MEBOS, MECHS, MECKS, MEEDS, MEEPS, MEFFS, MEIDS, MEILS, MEINS, MELDS, MELES, MELLS, MELOS, MEMES, MEMOS, MENDS, MENES, MENGS, MENUS, MEOUS, MEOWS, MESEL, MESEM, MESES, MESHY, MESIC, MESON, MESYL, MEUMS, MEVES, MEWLS, MEZES, MIENS, MIKES, MILES, MIMES, MINES, MISES, MIXES, MIZES, MOBES, MODES, MOKES, MOLES, MOMES, MOPES, MOSED, MOSES, MOSEY, MOUES, MOVES, MOZES, MULES, MUSED, MUSES, MUXES, MZEES, NECKS, NEEBS, NEEDS, NEEFS, NEEMS, NEEPS, NEGUS, NEIFS, NELIS, NEMNS, NENES, NEONS, NESKI, NEUKS, NEUMS, NEVES, NEVIS, NEVUS, NEWBS, NEXUS, NIDES, NIEFS, NIFES, NINES, NISEI, NIXES, NODES, NOELS, NOKES, NOLES, NOMES, NONES, NOSED, NOSES, NOSEY, NOXES, NOYES, NUDES, NUKES, NUSED, NUSES, OBEYS, OBOES, OCHES, OGEES, OGLES, OKEHS, OKIES, OLEHS, OLEOS, OLPES, OMEES, OMENS, OMNES, ONCES, ONDES, ONSEN, OOSES, OOZES, OPENS, OSEYS, OUEDS, OUENS, OUSEL, OVELS, OVENS, OWIES, OWSEN, OXIES, PECHS, PECKS, PEDES, PEDIS, PEDOS, PEEKS, PEELS, PEENS, PEEPS, PEGHS, PEGOS, PEINS, PEKES, PELES, PELFS, PELLS, PELUS, PENDS, PENES, PENIS, PENKS, PEONS, PEPOS, PESCH, PESKY, PESOS, PHIES, PIEDS, PIKES, PILES, PINES, PIPES, PISES, PIXES, PIZES, PLEBS, PLEWS, PLIES, PLUES, PNEUS, POEMS, POEPS, POKES, POLES, POMES, PONES, POPES, POSED, POSES, POSEY, POXES, PSEUD, PUBES, PUCES, PUKES, PULES, PUSES, PYNES, PYXES, QUEYS, QUIES, SCEND, SCYES, SDEIN, SEBUM, SECCO, SECHS, SEDES, SEDGY, SEDUM, SEEDS, SEEDY, SEEKS, SEELD, SEELS, SEELY, SEEMS, SEEPS, SEEPY, SEGNI, SEGNO, SEGOL, SEGOS, SEIFS, SEILS, SEKOS, SELES, SELFS, SELFY, SELKY, SELLS, SEMEN, SEMES, SEMIS, SENDS, SENES, SENEX, SENGI, SENVY, SEPIC, SEPOY, SEPPO, SESEY, SEVEN, SEWED, SEWEL, SEWEN, SEWIN, SEXED, SEXES, SEYEN, SEZES, SHEDS, SHEEL, SHEEN, SHEEP, SHEIK, SHELF, SHELL, SHEND, SHENG, SHEOL, SHEWN, SHEWS, SHIED, SHIEL, SHIES, SHLEP, SHMEK, SHOED, SHOES, SICES, SIDED, SIDES, SIDEY, SIELD, SIENS, SIKES, SILED, SILEN, SILES, SILEX, SINED, SINES, SINEW, SIPED, SIPES, SISES, SIXES, SIZED, SIZEL, SIZES, SKEDS, SKEED, SKEEF, SKEEN, SKEES, SKEEV, SKEEZ, SKEGG, SKEGS, SKEIN, SKELF, SKELL, SKELM, SKELP, SKENS, SKEOS, SKEPS, SKEWS, SKIED, SKIES, SKIEY, SKYED, SKYEY, SLEBS, SLEDS, SLEEK, SLEEP, SLEWS, SLEYS, SLOES, SLUED, SLUES, SMEEK, SMEES, SMEIK, SMELL, SMEWS, SNEBS, SNECK, SNEDS, SNEED, SNEES, SNELL, SNIED, SNIES, SNOEK, SNOEP, SNYES, SOCES, SOKEN, SOKES, SOLED, SOLEI, SOLES, SONES, SOOEY, SOWED, SOXES, SPECK, SPECS, SPEED, SPEEL, SPEIL, SPEKS, SPELD, SPELK, SPELL, SPEND, SPEOS, SPEUG, SPEWS, SPEWY, SPIED, SPIEL, SPIES, SPUED, SPUES, SQUEG, SUPED, SUPES, SUSED, SUSES, SWEED, SWEEL, SWEEP, SWEES, SWELL, SWEYS, SWIES, SYCES, SYEDS, SYENS, SYKES, SYNED, SYNES, SYPED, SYPES, UNCES, UNSEW, UNSEX, UPSEY, USENS, VEEPS, VEGES, VEGOS, VEILS, VEINS, VELDS, VELES, VELLS, VENDS, VENUS, VEVES, VEXES, VIBES, VICES, VIEWS, VINES, VISED, VISES, VIVES, VLEIS, VLIES, VOCES, VOLES, VOXES, WEEDS, WEEIS, WEEKS, WEELS, WEEMS, WEENS, WEEPS, WEIDS, WEILS, WELDS, WELKS, WELLS, WEMBS, WENDS, WEXES, WHENS, WHEWS, WHEYS, WHIES, WIDES, WIELS, WIFES, WILES, WINES, WIPES, WISED, WISES, WIVES, WIZES, WUSES, WYLES, YECHS, YEDES, YEEDS, YEGGS, YELKS, YELLS, YELMS, YELPS, YESES, YESKS, YEUKS, YEVES, YEXES, YIKES, YIPES, YLEMS, YLKES, YMPES, YOKES, YOWES, YUKES, YULES, ZEBUS, ZEINS, ZEXES, ZEZES, ZINES, ZONES, ZYMES

    Decision measures before feedback

    Expected remaining candidates: 414.45. Information: 5.74 bits. These measures describe the decision before its realised feedback.

  2. Test NIDES against the 853 candidates consistent with the earlier rows.

    853 before → 60 after. This feedback leaves 60 candidates.

    All 60 surviving candidates

    BIBES, BICES, BIKES, BILES, BISES, BIZES, CIVES, FICES, FIFES, FIKES, FILES, FIVES, FIXES, GIBES, GIVES, HIKES, HIPES, HIVES, JIBES, JIVES, KIBES, KIKES, KIPES, LIFES, LIKES, LIMES, LIPES, LISES, LIVES, MIKES, MILES, MIMES, MISES, MIXES, MIZES, PIKES, PILES, PIPES, PISES, PIXES, PIZES, SICES, SIKES, SILES, SIPES, SISES, SIXES, SIZES, VIBES, VICES, VISES, VIVES, WIFES, WILES, WIPES, WISES, WIVES, WIZES, YIKES, YIPES

    Decision measures before feedback

    Expected remaining candidates: 19.74. Information: 3.737 bits. These measures describe the decision before its realised feedback.

  3. Test LISES against the 60 candidates consistent with the earlier rows.

    60 before → 1 after. The answer is submitted and solved.

    All 1 surviving candidates

    LISES

    Decision measures before feedback

    Expected remaining candidates: 24.7. Information: 1.855 bits. These measures describe the decision before its realised feedback.

Solved in 3 guesses. Uniquely identified on turn 3.

Continue this board in the Solver

Hard Mode

Our solver: bounded weighted policy. Current-pool replay over 14,855 accepted words. Model through 2026-11-05.

  1. The fixed opener tests its five letters.

    14,855 before → 853 after. This feedback leaves 853 candidates.

    All 853 surviving candidates

    BECKS, BEDES, BEEFS, BEEPS, BEINS, BELLS, BENDS, BENES, BENIS, BESES, BESOM, BEZES, BHELS, BIBES, BICES, BIDES, BIKES, BILES, BINES, BISES, BIZES, BLEBS, BLEES, BLEYS, BLUES, BODES, BOEPS, BOKES, BOLES, BONES, BOSEY, BOWES, BOXES, BUDES, BUKES, BUSED, BUSES, BYDES, BYKES, CEDES, CEDIS, CEILS, CELLS, CEPES, CHEFS, CHEMS, CHEWS, CIDES, CIELS, CINES, CIVES, CLEFS, CLEGS, CLEMS, CLEWS, CLIES, CLUES, CODES, COEDS, COKES, COLES, COMES, CONES, COPES, COSEC, COSED, COSES, COSEY, COVES, COXES, COZES, CUBES, CUKES, CUSEC, CUZES, CYMES, DEBES, DEBUS, DECKS, DECOS, DEEDS, DEEMS, DEENS, DEEPS, DEEVS, DEFIS, DEGUS, DEIDS, DEILS, DEKES, DELES, DELFS, DELIS, DELLS, DELOS, DEMES, DEMOS, DENES, DENIS, DESEX, DESHI, DESIS, DESKS, DEVIS, DEVOS, DEXES, DEXYS, DICES, DIEBS, DIELS, DIKES, DIMES, DINES, DIVES, DOBES, DOEKS, DOGES, DOLES, DOMES, DOPES, DOSED, DOSEH, DOSES, DOVES, DOXES, DOZES, DUCES, DUDES, DUELS, DUKES, DULES, DUNES, DUPES, DUXES, DYKES, DYNES, EBONS, ECHES, ECHOS, ECIGS, EDGES, EEVNS, EIDOS, EILDS, EISEL, ELOPS, ELSIN, ELVES, EMBUS, EMEUS, EMICS, EMMYS, EMYDS, ENEWS, ENOLS, ENOWS, ENSEW, ENSKY, EOSIN, EPEES, EPICS, EQUES, ESNES, ESSES, EUGHS, EUSOL, EVEGS, EVENS, EVILS, EXECS, EXIES, EXONS, EXPOS, EXULS, FECES, FECKS, FEEBS, FEEDS, FEELS, FEENS, FELLS, FEMES, FENDS, FENIS, FENKS, FEODS, FEUDS, FEZES, FICES, FIDES, FIEFS, FIFES, FIKES, FILES, FINES, FIVES, FIXES, FLEES, FLEGS, FLEWS, FLEYS, FLIES, FLOES, FLUES, FOMES, FONES, FOXES, FUELS, FUMES, FUSED, FUSEL, FUSES, FUZES, FYCES, FYKES, FYLES, GECKS, GEEKS, GEEPS, GELDS, GENES, GENUS, GEUMS, GHEES, GIBES, GIVES, GLEDS, GLEES, GLEIS, GLENS, GLEYS, GLUES, GOELS, GOKES, GOLES, GOVES, GOXES, GUDES, GULES, GYBES, GYPES, GYVES, HEBES, HECKS, HEEDS, HEELS, HEIDS, HEILS, HELES, HELLS, HELMS, HELOS, HELPS, HEMES, HEMPS, HENDS, HESPS, HEXES, HIDES, HIEMS, HIKES, HIPES, HIVES, HOKES, HOLES, HOMES, HONES, HOPES, HOSED, HOSEL, HOSEN, HOSES, HOSEY, HOVES, HOWES, HOXES, HUIES, HULES, HYENS, HYKES, HYLES, HYPES, ICHES, IDEES, IDLES, ILEUS, ISHES, ISLED, ISLES, ISSEI, IVIES, JEDIS, JEELS, JEEPS, JEFES, JEFFS, JEHUS, JELLS, JEONS, JESUS, JIBES, JIVES, JOBES, JOEYS, JOKES, JOLES, JONES, JUBES, JUKES, JUPES, JUVES, KECKS, KEEFS, KEEKS, KEELS, KEENS, KEEPS, KELLS, KELPS, KEMBS, KEMPS, KENOS, KEPIS, KEXES, KIBES, KIEFS, KIEVS, KIKES, KINES, KIPES, KNEES, KOELS, KOSES, KYLES, KYPES, LEDES, LEEKS, LEEPS, LEGES, LEMES, LENDS, LENES, LENGS, LENIS, LENOS, LESBO, LESES, LESOS, LEUDS, LEVES, LEVIS, LEWIS, LEXES, LEXIS, LEZES, LIEFS, LIENS, LIEUS, LIFES, LIKES, LIMES, LINES, LIPES, LISES, LIVES, LOBES, LODES, LOGES, LOKES, LOMES, LOPES, LOSED, LOSEL, LOSEN, LOSES, LOVES, LOWES, LOXES, LUBES, LUCES, LUDES, LUGES, LUNES, LUXES, LWEIS, LYMES, LYNES, LYSED, LYSES, MEBOS, MECHS, MECKS, MEEDS, MEEPS, MEFFS, MEIDS, MEILS, MEINS, MELDS, MELES, MELLS, MELOS, MEMES, MEMOS, MENDS, MENES, MENGS, MENUS, MEOUS, MEOWS, MESEL, MESEM, MESES, MESHY, MESIC, MESON, MESYL, MEUMS, MEVES, MEWLS, MEZES, MIENS, MIKES, MILES, MIMES, MINES, MISES, MIXES, MIZES, MOBES, MODES, MOKES, MOLES, MOMES, MOPES, MOSED, MOSES, MOSEY, MOUES, MOVES, MOZES, MULES, MUSED, MUSES, MUXES, MZEES, NECKS, NEEBS, NEEDS, NEEFS, NEEMS, NEEPS, NEGUS, NEIFS, NELIS, NEMNS, NENES, NEONS, NESKI, NEUKS, NEUMS, NEVES, NEVIS, NEVUS, NEWBS, NEXUS, NIDES, NIEFS, NIFES, NINES, NISEI, NIXES, NODES, NOELS, NOKES, NOLES, NOMES, NONES, NOSED, NOSES, NOSEY, NOXES, NOYES, NUDES, NUKES, NUSED, NUSES, OBEYS, OBOES, OCHES, OGEES, OGLES, OKEHS, OKIES, OLEHS, OLEOS, OLPES, OMEES, OMENS, OMNES, ONCES, ONDES, ONSEN, OOSES, OOZES, OPENS, OSEYS, OUEDS, OUENS, OUSEL, OVELS, OVENS, OWIES, OWSEN, OXIES, PECHS, PECKS, PEDES, PEDIS, PEDOS, PEEKS, PEELS, PEENS, PEEPS, PEGHS, PEGOS, PEINS, PEKES, PELES, PELFS, PELLS, PELUS, PENDS, PENES, PENIS, PENKS, PEONS, PEPOS, PESCH, PESKY, PESOS, PHIES, PIEDS, PIKES, PILES, PINES, PIPES, PISES, PIXES, PIZES, PLEBS, PLEWS, PLIES, PLUES, PNEUS, POEMS, POEPS, POKES, POLES, POMES, PONES, POPES, POSED, POSES, POSEY, POXES, PSEUD, PUBES, PUCES, PUKES, PULES, PUSES, PYNES, PYXES, QUEYS, QUIES, SCEND, SCYES, SDEIN, SEBUM, SECCO, SECHS, SEDES, SEDGY, SEDUM, SEEDS, SEEDY, SEEKS, SEELD, SEELS, SEELY, SEEMS, SEEPS, SEEPY, SEGNI, SEGNO, SEGOL, SEGOS, SEIFS, SEILS, SEKOS, SELES, SELFS, SELFY, SELKY, SELLS, SEMEN, SEMES, SEMIS, SENDS, SENES, SENEX, SENGI, SENVY, SEPIC, SEPOY, SEPPO, SESEY, SEVEN, SEWED, SEWEL, SEWEN, SEWIN, SEXED, SEXES, SEYEN, SEZES, SHEDS, SHEEL, SHEEN, SHEEP, SHEIK, SHELF, SHELL, SHEND, SHENG, SHEOL, SHEWN, SHEWS, SHIED, SHIEL, SHIES, SHLEP, SHMEK, SHOED, SHOES, SICES, SIDED, SIDES, SIDEY, SIELD, SIENS, SIKES, SILED, SILEN, SILES, SILEX, SINED, SINES, SINEW, SIPED, SIPES, SISES, SIXES, SIZED, SIZEL, SIZES, SKEDS, SKEED, SKEEF, SKEEN, SKEES, SKEEV, SKEEZ, SKEGG, SKEGS, SKEIN, SKELF, SKELL, SKELM, SKELP, SKENS, SKEOS, SKEPS, SKEWS, SKIED, SKIES, SKIEY, SKYED, SKYEY, SLEBS, SLEDS, SLEEK, SLEEP, SLEWS, SLEYS, SLOES, SLUED, SLUES, SMEEK, SMEES, SMEIK, SMELL, SMEWS, SNEBS, SNECK, SNEDS, SNEED, SNEES, SNELL, SNIED, SNIES, SNOEK, SNOEP, SNYES, SOCES, SOKEN, SOKES, SOLED, SOLEI, SOLES, SONES, SOOEY, SOWED, SOXES, SPECK, SPECS, SPEED, SPEEL, SPEIL, SPEKS, SPELD, SPELK, SPELL, SPEND, SPEOS, SPEUG, SPEWS, SPEWY, SPIED, SPIEL, SPIES, SPUED, SPUES, SQUEG, SUPED, SUPES, SUSED, SUSES, SWEED, SWEEL, SWEEP, SWEES, SWELL, SWEYS, SWIES, SYCES, SYEDS, SYENS, SYKES, SYNED, SYNES, SYPED, SYPES, UNCES, UNSEW, UNSEX, UPSEY, USENS, VEEPS, VEGES, VEGOS, VEILS, VEINS, VELDS, VELES, VELLS, VENDS, VENUS, VEVES, VEXES, VIBES, VICES, VIEWS, VINES, VISED, VISES, VIVES, VLEIS, VLIES, VOCES, VOLES, VOXES, WEEDS, WEEIS, WEEKS, WEELS, WEEMS, WEENS, WEEPS, WEIDS, WEILS, WELDS, WELKS, WELLS, WEMBS, WENDS, WEXES, WHENS, WHEWS, WHEYS, WHIES, WIDES, WIELS, WIFES, WILES, WINES, WIPES, WISED, WISES, WIVES, WIZES, WUSES, WYLES, YECHS, YEDES, YEEDS, YEGGS, YELKS, YELLS, YELMS, YELPS, YESES, YESKS, YEUKS, YEVES, YEXES, YIKES, YIPES, YLEMS, YLKES, YMPES, YOKES, YOWES, YUKES, YULES, ZEBUS, ZEINS, ZEXES, ZEZES, ZINES, ZONES, ZYMES

    Decision measures before feedback

    Expected remaining candidates: 414.45. Information: 5.74 bits. These measures describe the decision before its realised feedback.

  2. Test NIDES against the 853 candidates consistent with the earlier rows.

    853 before → 60 after. This feedback leaves 60 candidates.

    All 60 surviving candidates

    BIBES, BICES, BIKES, BILES, BISES, BIZES, CIVES, FICES, FIFES, FIKES, FILES, FIVES, FIXES, GIBES, GIVES, HIKES, HIPES, HIVES, JIBES, JIVES, KIBES, KIKES, KIPES, LIFES, LIKES, LIMES, LIPES, LISES, LIVES, MIKES, MILES, MIMES, MISES, MIXES, MIZES, PIKES, PILES, PIPES, PISES, PIXES, PIZES, SICES, SIKES, SILES, SIPES, SISES, SIXES, SIZES, VIBES, VICES, VISES, VIVES, WIFES, WILES, WIPES, WISES, WIVES, WIZES, YIKES, YIPES

    Decision measures before feedback

    Expected remaining candidates: 19.74. Information: 3.737 bits. These measures describe the decision before its realised feedback.

  3. Test LISES against the 60 candidates consistent with the earlier rows.

    60 before → 1 after. The answer is submitted and solved.

    All 1 surviving candidates

    LISES

    Decision measures before feedback

    Expected remaining candidates: 24.7. Information: 1.855 bits. These measures describe the decision before its realised feedback.

Solved in 3 guesses. Uniquely identified on turn 3.

Continue this board in the Solver

How the fixed opener panel performs on this answer

OpenerFirst feedbackSurvivorsNormalHard Mode
TARSE00011 (0 grey, 1 yellow, 2 green)85333
CRANE00001 (0 grey, 1 yellow, 2 green)143344
SLATE11001 (0 grey, 1 yellow, 2 green)1804Not solved in six
ADIEU00120 (0 grey, 1 yellow, 2 green)2686Not solved in six
STARE10001 (0 grey, 1 yellow, 2 green)68944
AUDIO00010 (0 grey, 1 yellow, 2 green)13876Not solved in six
RAISE00111 (0 grey, 1 yellow, 2 green)2036Not solved in six
ROATE00001 (0 grey, 1 yellow, 2 green)11676Not solved in six
SALET10120 (0 grey, 1 yellow, 2 green)6544
Normal mode
1 guess: 0 · 2 guesses: 0 · 3 guesses: 1 · 4 guesses: 4 · 5 guesses: 0 · 6 guesses: 4 · Failed in six: 0
Hard Mode
1 guess: 0 · 2 guesses: 0 · 3 guesses: 1 · 4 guesses: 3 · 5 guesses: 0 · 6 guesses: 0 · Failed in six: 5

The nine openers use the same pool and continuation policy. Across both modes: 3–6 guesses among successes; 5 of 18 configurations failed. This is performance on this answer, not an overall opener ranking.

6 openers set up a two-turn opportunity; examples include AISLE, ISLES, LISLE, SILES, EISEL, SEILS. 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 S. 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.

Methods and limitations

Feedback distribution

LISES can come back 80 different ways. These are the most likely, and how many of the possible answers give each one:

411 answers
287 answers
167 answers
157 answers
150 answers
150 answers
112 answers
111 answers
82 answers
78 answers
65 answers
52 answers
51 answers
50 answers
32 answers
27 answers
25 answers
24 answers
22 answers
22 answers
21 answers
21 answers
20 answers
19 answers
17 answers
16 answers
12 answers
11 answers
10 answers
9 answers

Letter-value totals

Base letter-value totals for LISES; these do not show whether either game accepts the word.

Scrabble

L1I1S1E1S1
Total: 5 points

Words With Friends

Total: 6 points

Scores shown are base values without double/triple letter or word bonuses.

Strategy after playing LISES

What the solver recommends next for each way the board can respond to LISES.

Quick reference

Largest feedback groups after playing LISES:

17% chance
Suggested:
COURT
12% chance
Suggested:
TRACE
7% chance
Suggested:
ROANY

Follow-ups for common patterns

Ranked follow-up guesses for the 10 most common feedback patterns.

17.2% →
COURT 5.81 bits
12.0% →
TRACE 5.67 bits
7.0% →
ROANY 4.80 bits
6.6% →
SNORT 5.10 bits
6.3% →
OATER 4.32 bits
6.3% →
TRAIN 5.46 bits
4.7% →
ROAST 4.88 bits
4.6% →
BLATE 4.49 bits
3.4% →
TRINE 4.67 bits
3.3% →
DIRTY 3.92 bits

Research on LISES

Game-tree analysis and word research for LISES, with an explanation for each figure.

Optimal play

Opening with LISES, a proven-optimal strategy averages 3.78 guesses and ranks #9,504 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 LISES can guarantee a solve within six guesses.

Our six-turn simulation says 3.76, at or below the proven-optimal 3.78, 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.

Sources: Optimal-play values: Alex Selby's exhaustive Wordle analysis (MIT).