Very unlikely Accepted guess C tier for first-turn info

CAMIS

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

Meaning and pronunciation

Pronunciation: /ˈkæmiz//ˈkæmɪs/

Noun

plural of cami

Noun

A light, loose dress or robe.

Alternative forms: camese, camiso, camus

Source: Wiktionary contributors · CC BY-SA 4.0. Corrections.

Use CAMIS in a puzzle

As an opener, it rules out about 93.0% 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 CAMIS performs as a guess

Wordle accepts CAMIS 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 82.4% of games, misses completely in 17.6%, and leaves about 167 possible answers on average.

In the previous complete opener benchmark, it ranks #2,899 of 14,855 openers, averaging 3.64 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 CAMIS 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.

4.76 Entropy (bits)
167 Avg remaining
0.0% Exact match
93.0% Avg ruled out

As an opening guess: previous benchmark

How CAMIS 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.

3.64 Avg guesses
99.96% Solved within six
0.69 Spread of game lengths
#2,899 Rank among openers
Opening with CAMIS left 1 of the snapshot's answers unsolved after six guesses. A spread of 0.69 means those games clustered within about 0.69 of a guess of the 3.64 average. It ranks #2,899 of 14,855 openers by average guesses in games solved within six.
1 guess
0
2 guesses
63
3 guesses
944
4 guesses
1,146
5 guesses
187
6 guesses
13

Composition

5/5 unique
2 vowels
Common:
AIS

Feedback chances

Any hit (G/Y)
82%
Green tile
29%
All gray
18%

When CAMIS is useful later

CAMIS 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 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, CAMIS 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, CAMIS 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 SALET: 3 candidates, normal mode

SALET: 01000 (0 = grey, 1 = yellow, 2 = green).

BORAK: 00010 (0 = grey, 1 = yellow, 2 = green).

ADUNC: 22010 (0 = grey, 1 = yellow, 2 = green).

Remaining answers: ADAWN, ADDIN, ADMIN.

With a budget of 3 more guesses, CAMIS 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 CAMIS

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 → 492 after. This feedback leaves 492 candidates.

    All 492 surviving candidates

    AAPAS, BAALS, BAAPS, BABAS, BABUS, BACHS, BACKS, BAFFS, BAGHS, BAHUS, BAIKS, BAILS, BAJUS, BALAS, BALDS, BALKS, BALLS, BALMS, BALUS, BAMAS, BANCS, BANDS, BANGS, BANKS, BANNS, BAONS, BAPUS, BASAL, BASAN, BASAS, BASHA, BASHO, BASIC, BASIJ, BASIL, BASIN, BASIS, BASKS, BASON, BAUDS, BAUKS, BAWDS, BAWKS, BAWLS, BAWNS, BAYAS, BAZAS, CABAS, CACAS, CACKS, CADIS, CAFFS, CAIDS, CAINS, CALFS, CALKS, CALLS, CALMS, CALOS, CALPS, CAMAS, CAMIS, CAMOS, CAMPS, CAMUS, CANGS, CANNS, CAPAS, CAPHS, CAPOS, CASAS, CASCO, CASKS, CASKY, CASUS, CAUKS, CAULS, CAUMS, CAUPS, CAVAS, CAVUS, CAWKS, DAALS, DACKS, DADAS, DADIS, DADOS, DAFFS, DAGOS, DAHIS, DAHLS, DALIS, DAMNS, DAMPS, DANGS, DANKS, DASHI, DASHY, DAUBS, DAUDS, DAWDS, DAWGS, DAWKS, DAWNS, FADOS, FAFFS, FAIKS, FAILS, FAINS, FALLS, FANDS, FANGS, FANKS, FANOS, FASCI, FAUNS, FAVAS, FAVUS, FAWNS, GADIS, GAFFS, GAIDS, GAINS, GAJOS, GALAS, GALIS, GALLS, GAMAS, GAMBS, GAMPS, GANGS, GANKS, GAOLS, GAPOS, GASHY, GASPS, GASPY, GAUDS, GAUMS, GAUPS, GAWDS, GAWKS, GAWPS, HAAFS, HABUS, HACKS, HAFFS, HAGGS, HAHAS, HAIKS, HAILS, HAINS, HAJIS, HAKAS, HAKUS, HALFS, HALLS, HALMS, HALOS, HANDS, HANGS, HANKS, HAPAS, HAPUS, HASHY, HASKS, HASPS, HAUDS, HAUFS, HAULS, HAUNS, HAWKS, HAWMS, IAMBS, JAAPS, JACKS, JAFAS, JAGAS, JAGGS, JAILS, JAMBS, JANNS, JASPS, JAUKS, JAUPS, JAVAS, JAWNS, KACKS, KADIS, KAGOS, KAGUS, KAIDS, KAIFS, KAIKS, KAILS, KAIMS, KAINS, KAKAS, KAKIS, KALAS, KALIS, KAMAS, KAMIS, KANAS, KANGS, KAONS, KAPAS, KAPHS, KAPUS, KASHA, KAVAS, KAWAS, KAYOS, KAZIS, LABIS, LACIS, LACKS, LAICS, LAIDS, LAIKS, LAKHS, LALLS, LAMAS, LAMBS, LAMPS, LANAS, LANDS, LANKS, LAPAS, LAPIS, LAUDS, LAUFS, LAVAS, LAWKS, LAWNS, LAZOS, MACAS, MACHS, MACKS, MADOS, MAGAS, MAGGS, MAGUS, MAHIS, MAIDS, MAIKS, MAILS, MAIMS, MAINS, MAJAS, MAJOS, MAKIS, MAKOS, MALAS, MALIS, MALLS, MALMS, MALUS, MAMAS, MANAS, MANDS, MANGS, MANIS, MANKS, MANOS, MANUS, MASAS, MASHA, MASHY, MASKS, MASON, MASUS, MAUDS, MAULS, MAUMS, MAVIS, MAWKS, MAWNS, MAWPS, MAXIS, MAYAS, MAYOS, MAZAS, NAAMS, NAANS, NABIS, NABKS, NADAS, NAFFS, NAGAS, NAIBS, NAIDS, NAIFS, NAIKS, NAILS, NAINS, NAIOS, NAKAS, NALAS, NAMUS, NANAS, NANOS, NAPAS, NASAL, NASHI, NASHO, NASIS, NASON, NASUS, NAZIS, OAFOS, OASAL, OASIS, PAALS, PAANS, PACAS, PACKS, PACOS, PADAS, PADIS, PAHOS, PAHUS, PAIKS, PAILS, PAINS, PAIPS, PALAS, PALIS, PALLS, PALMS, PALPS, PALUS, PANDS, PANGS, PANKS, PAPAS, PASAG, PASCH, PASHA, PASHM, PASKA, PASMO, PASPY, PAUAS, PAULS, PAVAS, PAVIS, PAWAS, PAWKS, PAWLS, PAWNS, QADIS, QAIDS, SAAGS, SABAL, SABHA, SABIN, SABJI, SABOS, SABZI, SACKS, SADDO, SADDY, SADHU, SADIC, SADIS, SADLY, SADOS, SADZA, SAGAS, SAGGY, SAGOS, SAGUM, SAHAB, SAHIB, SAICK, SAICS, SAIDS, SAIGA, SAILS, SAIMS, SAINS, SAJOU, SAKAI, SAKIA, SAKIS, SALAD, SALAL, SALAS, SALIC, SALIS, SALIX, SALLY, SALMI, SALOL, SALON, SALOP, SALPA, SALPS, SALUD, SALVO, SAMAN, SAMAS, SAMBA, SAMBO, SAMFI, SAMFU, SAMMY, SAMPI, SAMPS, SANAD, SANDS, SANDY, SANGA, SANGH, SANGO, SANGS, SANKO, SAOLA, SAPAN, SAPID, SAPPY, SASIN, SAUBA, SAUCH, SAUCY, SAUGH, SAULS, SAUNA, SAUNF, SAVIN, SAVOY, SAVVY, SAWAH, SAYAS, SAYID, SAYON, VACAS, VADAS, VAGUS, VAIDS, VAILS, VAKAS, VALIS, VAMPS, VANGS, VASAL, WAACS, WACKS, WADAS, WADDS, WADIS, WAFFS, WAIFS, WAILS, WAINS, WAKAS, WAKFS, WALDS, WALIS, WALKS, WALLS, WAMUS, WANDS, WANGS, WANKS, WAQFS, WASHI, WASHY, WASMS, WASPS, WASPY, WAUKS, WAULS, WAWAS, WAWLS, YABAS, YACKS, YAFFS, YAGIS, YANGS, YANKS, YAPPS, YAUDS, YAUPS, YAWLS, YAWNS, YAWPS, YAYAS, ZACKS, ZAMIS, ZAWNS

    Decision measures before feedback

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

  2. Test POLES against the 492 candidates consistent with the earlier rows.

    492 before → 228 after. This feedback leaves 228 candidates.

    All 228 surviving candidates

    BABAS, BABUS, BACHS, BACKS, BAFFS, BAGHS, BAHUS, BAIKS, BAJUS, BAMAS, BANCS, BANDS, BANGS, BANKS, BANNS, BASAS, BASIS, BASKS, BAUDS, BAUKS, BAWDS, BAWKS, BAWNS, BAYAS, BAZAS, CABAS, CACAS, CACKS, CADIS, CAFFS, CAIDS, CAINS, CAMAS, CAMIS, CAMUS, CANGS, CANNS, CASAS, CASKS, CASUS, CAUKS, CAUMS, CAVAS, CAVUS, CAWKS, DACKS, DADAS, DADIS, DAFFS, DAHIS, DAMNS, DANGS, DANKS, DAUBS, DAUDS, DAWDS, DAWGS, DAWKS, DAWNS, FAFFS, FAIKS, FAINS, FANDS, FANGS, FANKS, FAUNS, FAVAS, FAVUS, FAWNS, GADIS, GAFFS, GAIDS, GAINS, GAMAS, GAMBS, GANGS, GANKS, GAUDS, GAUMS, GAWDS, GAWKS, HAAFS, HABUS, HACKS, HAFFS, HAGGS, HAHAS, HAIKS, HAINS, HAJIS, HAKAS, HAKUS, HANDS, HANGS, HANKS, HASKS, HAUDS, HAUFS, HAUNS, HAWKS, HAWMS, IAMBS, JACKS, JAFAS, JAGAS, JAGGS, JAMBS, JANNS, JAUKS, JAVAS, JAWNS, KACKS, KADIS, KAGUS, KAIDS, KAIFS, KAIKS, KAIMS, KAINS, KAKAS, KAKIS, KAMAS, KAMIS, KANAS, KANGS, KAVAS, KAWAS, KAZIS, MACAS, MACHS, MACKS, MAGAS, MAGGS, MAGUS, MAHIS, MAIDS, MAIKS, MAIMS, MAINS, MAJAS, MAKIS, MAMAS, MANAS, MANDS, MANGS, MANIS, MANKS, MANUS, MASAS, MASKS, MASUS, MAUDS, MAUMS, MAVIS, MAWKS, MAWNS, MAXIS, MAYAS, MAZAS, NAAMS, NAANS, NABIS, NABKS, NADAS, NAFFS, NAGAS, NAIBS, NAIDS, NAIFS, NAIKS, NAINS, NAKAS, NAMUS, NANAS, NASIS, NASUS, NAZIS, QADIS, QAIDS, SAAGS, SACKS, SADIS, SAGAS, SAICS, SAIDS, SAIMS, SAINS, SAKIS, SAMAS, SANDS, SANGS, SAYAS, VACAS, VADAS, VAGUS, VAIDS, VAKAS, VANGS, WAACS, WACKS, WADAS, WADDS, WADIS, WAFFS, WAIFS, WAINS, WAKAS, WAKFS, WAMUS, WANDS, WANGS, WANKS, WAQFS, WASMS, WAUKS, WAWAS, YABAS, YACKS, YAFFS, YAGIS, YANGS, YANKS, YAUDS, YAWNS, YAYAS, ZACKS, ZAMIS, ZAWNS

    Decision measures before feedback

    Expected remaining candidates: 18.385. Information: 2.689 bits. These measures describe the decision before its realised feedback.

  3. Test MANKS against the 228 candidates consistent with the earlier rows.

    228 before → 16 after. This feedback leaves 16 candidates.

    All 16 surviving candidates

    BAMAS, CAMAS, CAMIS, CAMUS, CAUMS, GAMAS, GAMBS, GAUMS, HAWMS, IAMBS, JAMBS, SAIMS, SAMAS, WAMUS, WASMS, ZAMIS

    Decision measures before feedback

    Expected remaining candidates: 37.012. Information: 3.193 bits. These measures describe the decision before its realised feedback.

  4. Test IAMBS against the 16 candidates consistent with the earlier rows.

    16 before → 2 after. This feedback leaves 2 candidates.

    All 2 surviving candidates

    CAMIS, ZAMIS

    Decision measures before feedback

    Expected remaining candidates: 3.25. Information: 2.524 bits. These measures describe the decision before its realised feedback.

  5. Test CAMIS against the 2 candidates consistent with the earlier rows.

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

    All 1 surviving candidates

    CAMIS

    Decision measures before feedback

    Expected remaining candidates: 1.0. Information: 1.0 bits. These measures describe the decision before its realised feedback.

Solved in 5 guesses. Uniquely identified on turn 5.

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 → 492 after. This feedback leaves 492 candidates.

    All 492 surviving candidates

    AAPAS, BAALS, BAAPS, BABAS, BABUS, BACHS, BACKS, BAFFS, BAGHS, BAHUS, BAIKS, BAILS, BAJUS, BALAS, BALDS, BALKS, BALLS, BALMS, BALUS, BAMAS, BANCS, BANDS, BANGS, BANKS, BANNS, BAONS, BAPUS, BASAL, BASAN, BASAS, BASHA, BASHO, BASIC, BASIJ, BASIL, BASIN, BASIS, BASKS, BASON, BAUDS, BAUKS, BAWDS, BAWKS, BAWLS, BAWNS, BAYAS, BAZAS, CABAS, CACAS, CACKS, CADIS, CAFFS, CAIDS, CAINS, CALFS, CALKS, CALLS, CALMS, CALOS, CALPS, CAMAS, CAMIS, CAMOS, CAMPS, CAMUS, CANGS, CANNS, CAPAS, CAPHS, CAPOS, CASAS, CASCO, CASKS, CASKY, CASUS, CAUKS, CAULS, CAUMS, CAUPS, CAVAS, CAVUS, CAWKS, DAALS, DACKS, DADAS, DADIS, DADOS, DAFFS, DAGOS, DAHIS, DAHLS, DALIS, DAMNS, DAMPS, DANGS, DANKS, DASHI, DASHY, DAUBS, DAUDS, DAWDS, DAWGS, DAWKS, DAWNS, FADOS, FAFFS, FAIKS, FAILS, FAINS, FALLS, FANDS, FANGS, FANKS, FANOS, FASCI, FAUNS, FAVAS, FAVUS, FAWNS, GADIS, GAFFS, GAIDS, GAINS, GAJOS, GALAS, GALIS, GALLS, GAMAS, GAMBS, GAMPS, GANGS, GANKS, GAOLS, GAPOS, GASHY, GASPS, GASPY, GAUDS, GAUMS, GAUPS, GAWDS, GAWKS, GAWPS, HAAFS, HABUS, HACKS, HAFFS, HAGGS, HAHAS, HAIKS, HAILS, HAINS, HAJIS, HAKAS, HAKUS, HALFS, HALLS, HALMS, HALOS, HANDS, HANGS, HANKS, HAPAS, HAPUS, HASHY, HASKS, HASPS, HAUDS, HAUFS, HAULS, HAUNS, HAWKS, HAWMS, IAMBS, JAAPS, JACKS, JAFAS, JAGAS, JAGGS, JAILS, JAMBS, JANNS, JASPS, JAUKS, JAUPS, JAVAS, JAWNS, KACKS, KADIS, KAGOS, KAGUS, KAIDS, KAIFS, KAIKS, KAILS, KAIMS, KAINS, KAKAS, KAKIS, KALAS, KALIS, KAMAS, KAMIS, KANAS, KANGS, KAONS, KAPAS, KAPHS, KAPUS, KASHA, KAVAS, KAWAS, KAYOS, KAZIS, LABIS, LACIS, LACKS, LAICS, LAIDS, LAIKS, LAKHS, LALLS, LAMAS, LAMBS, LAMPS, LANAS, LANDS, LANKS, LAPAS, LAPIS, LAUDS, LAUFS, LAVAS, LAWKS, LAWNS, LAZOS, MACAS, MACHS, MACKS, MADOS, MAGAS, MAGGS, MAGUS, MAHIS, MAIDS, MAIKS, MAILS, MAIMS, MAINS, MAJAS, MAJOS, MAKIS, MAKOS, MALAS, MALIS, MALLS, MALMS, MALUS, MAMAS, MANAS, MANDS, MANGS, MANIS, MANKS, MANOS, MANUS, MASAS, MASHA, MASHY, MASKS, MASON, MASUS, MAUDS, MAULS, MAUMS, MAVIS, MAWKS, MAWNS, MAWPS, MAXIS, MAYAS, MAYOS, MAZAS, NAAMS, NAANS, NABIS, NABKS, NADAS, NAFFS, NAGAS, NAIBS, NAIDS, NAIFS, NAIKS, NAILS, NAINS, NAIOS, NAKAS, NALAS, NAMUS, NANAS, NANOS, NAPAS, NASAL, NASHI, NASHO, NASIS, NASON, NASUS, NAZIS, OAFOS, OASAL, OASIS, PAALS, PAANS, PACAS, PACKS, PACOS, PADAS, PADIS, PAHOS, PAHUS, PAIKS, PAILS, PAINS, PAIPS, PALAS, PALIS, PALLS, PALMS, PALPS, PALUS, PANDS, PANGS, PANKS, PAPAS, PASAG, PASCH, PASHA, PASHM, PASKA, PASMO, PASPY, PAUAS, PAULS, PAVAS, PAVIS, PAWAS, PAWKS, PAWLS, PAWNS, QADIS, QAIDS, SAAGS, SABAL, SABHA, SABIN, SABJI, SABOS, SABZI, SACKS, SADDO, SADDY, SADHU, SADIC, SADIS, SADLY, SADOS, SADZA, SAGAS, SAGGY, SAGOS, SAGUM, SAHAB, SAHIB, SAICK, SAICS, SAIDS, SAIGA, SAILS, SAIMS, SAINS, SAJOU, SAKAI, SAKIA, SAKIS, SALAD, SALAL, SALAS, SALIC, SALIS, SALIX, SALLY, SALMI, SALOL, SALON, SALOP, SALPA, SALPS, SALUD, SALVO, SAMAN, SAMAS, SAMBA, SAMBO, SAMFI, SAMFU, SAMMY, SAMPI, SAMPS, SANAD, SANDS, SANDY, SANGA, SANGH, SANGO, SANGS, SANKO, SAOLA, SAPAN, SAPID, SAPPY, SASIN, SAUBA, SAUCH, SAUCY, SAUGH, SAULS, SAUNA, SAUNF, SAVIN, SAVOY, SAVVY, SAWAH, SAYAS, SAYID, SAYON, VACAS, VADAS, VAGUS, VAIDS, VAILS, VAKAS, VALIS, VAMPS, VANGS, VASAL, WAACS, WACKS, WADAS, WADDS, WADIS, WAFFS, WAIFS, WAILS, WAINS, WAKAS, WAKFS, WALDS, WALIS, WALKS, WALLS, WAMUS, WANDS, WANGS, WANKS, WAQFS, WASHI, WASHY, WASMS, WASPS, WASPY, WAUKS, WAULS, WAWAS, WAWLS, YABAS, YACKS, YAFFS, YAGIS, YANGS, YANKS, YAPPS, YAUDS, YAUPS, YAWLS, YAWNS, YAWPS, YAYAS, ZACKS, ZAMIS, ZAWNS

    Decision measures before feedback

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

  2. Test PALIS against the 492 candidates consistent with the earlier rows.

    492 before → 26 after. This feedback leaves 26 candidates.

    All 26 surviving candidates

    BASIS, CADIS, CAMIS, DADIS, DAHIS, GADIS, HAJIS, KADIS, KAKIS, KAMIS, KAZIS, MAHIS, MAKIS, MANIS, MAVIS, MAXIS, NABIS, NASIS, NAZIS, OASIS, QADIS, SADIS, SAKIS, WADIS, YAGIS, ZAMIS

    Decision measures before feedback

    Expected remaining candidates: 19.34. Information: 2.481 bits. These measures describe the decision before its realised feedback.

  3. Test SADIS against the 26 candidates consistent with the earlier rows.

    26 before → 14 after. This feedback leaves 14 candidates.

    All 14 surviving candidates

    CAMIS, HAJIS, KAKIS, KAMIS, KAZIS, MAHIS, MAKIS, MANIS, MAVIS, MAXIS, NABIS, NAZIS, YAGIS, ZAMIS

    Decision measures before feedback

    Expected remaining candidates: 8.048. Information: 1.953 bits. These measures describe the decision before its realised feedback.

  4. Test MAKIS against the 14 candidates consistent with the earlier rows.

    14 before → 2 after. This feedback leaves 2 candidates.

    All 2 surviving candidates

    CAMIS, ZAMIS

    Decision measures before feedback

    Expected remaining candidates: 2.857. Information: 2.522 bits. These measures describe the decision before its realised feedback.

  5. Test CAMIS against the 2 candidates consistent with the earlier rows.

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

    All 1 surviving candidates

    CAMIS

    Decision measures before feedback

    Expected remaining candidates: 1.0. Information: 1.0 bits. These measures describe the decision before its realised feedback.

Solved in 5 guesses. Uniquely identified on turn 5.

Continue this board in the Solver

How the fixed opener panel performs on this answer

OpenerFirst feedbackSurvivorsNormalHard Mode
TARSE02010 (0 grey, 1 yellow, 2 green)49255
CRANE20100 (0 grey, 1 yellow, 2 green)10454
SLATE10100 (0 grey, 1 yellow, 2 green)68565
ADIEU10100 (0 grey, 1 yellow, 2 green)55044
STARE10100 (0 grey, 1 yellow, 2 green)66256
AUDIO10020 (0 grey, 1 yellow, 2 green)23034
RAISE02110 (0 grey, 1 yellow, 2 green)7944
ROATE00100 (0 grey, 1 yellow, 2 green)140444
SALET12000 (0 grey, 1 yellow, 2 green)46644
Normal mode
1 guess: 0 · 2 guesses: 0 · 3 guesses: 1 · 4 guesses: 4 · 5 guesses: 3 · 6 guesses: 1 · Failed in six: 0
Hard Mode
1 guess: 0 · 2 guesses: 0 · 3 guesses: 0 · 4 guesses: 6 · 5 guesses: 2 · 6 guesses: 1 · Failed in six: 0

The nine openers use the same pool and continuation policy. Across both modes: 3–6 guesses among successes; 0 of 18 configurations failed. This is performance on this answer, not an overall opener ranking.

25 openers set up a two-turn opportunity; examples include CLAIM, MAGIC, MANIC, MACHI, HUMIC, MAFIC, MALIC, CAMPI, CRIMS, SALIC. 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 worked board still allows 2 different answers at one later decision: CAMIS, ZAMIS. These are mechanical alternatives, not a judgement of vocabulary difficulty.

Vocabulary evidence and voluntary player results are reported separately from these solver observations.

Closest competing answers in this board

These words all fit the earlier feedback, rather than merely sharing similar spelling: CAMIS, ZAMIS.

A lesson from this route

Before CAMIS, 2 words still fit. Its feedback left 1; check the full survivor list before choosing the next answer.

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

CAMIS can come back 102 different ways. These are the most likely, and how many of the possible answers give each one:

421 answers
246 answers
234 answers
203 answers
137 answers
108 answers
86 answers
65 answers
63 answers
57 answers
45 answers
45 answers
38 answers
38 answers
36 answers
35 answers
31 answers
29 answers
26 answers
25 answers
23 answers
23 answers
22 answers
19 answers
18 answers
16 answers
16 answers
15 answers
13 answers
13 answers

Letter-value totals

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

Scrabble

C3A1M3I1S1
Total: 9 points

Words With Friends

Total: 11 points

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

Strategy after playing CAMIS

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

Quick reference

Largest feedback groups after playing CAMIS:

18% chance
Suggested:
TONER
10% chance
Suggested:
ALERT
10% chance
Suggested:
TRINE

Follow-ups for common patterns

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

17.6% →
TONER 5.92 bits
10.3% →
ALERT 5.58 bits
9.8% →
TRINE 5.45 bits
8.5% →
ROUET 5.50 bits
5.7% →
TONER 4.69 bits
4.5% →
THALE 4.80 bits
3.6% →
TRINE 4.59 bits
2.7% →
DRONE 5.04 bits
2.6% →
RONTE 4.65 bits
2.4% →
ROUTE 5.13 bits

Research on CAMIS

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

Optimal play

Opening with CAMIS, a proven-optimal strategy averages 3.68 guesses and ranks #3,721 of 14,855 legal openers. The best proven opener, TARSE, averages 3.55.

In hard mode it averages 3.80 guesses at best and is rank #1,316 of the 7,453 openers that can still guarantee a solve within six guesses.

Our six-turn simulation says 3.64, at or below the proven-optimal 3.68, 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
CAMIS 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).