Enter Sentence:

money

Code:

NLMVB

Frequency Analysis of Text

This table shows the occurances of the letters in the text (ignoring the case of the letters):

a

b

c

d

e

f

g

h

i

j

k

l

m

0 [0.0%]

1 [20.0%]

0 [0.0%]

0 [0.0%]

0 [0.0%]

0 [0.0%]

0 [0.0%]

0 [0.0%]

0 [0.0%]

0 [0.0%]

0 [0.0%]

1 [20.0%]

1 [20.0%]

n

o

p

q

r

s

t

u

v

w

x

y

z

1 [20.0%]

0 [0.0%]

0 [0.0%]

0 [0.0%]

0 [0.0%]

0 [0.0%]

0 [0.0%]

0 [0.0%]

1 [20.0%]

0 [0.0%]

0 [0.0%]

0 [0.0%]

0 [0.0%]

Mapping to normal

This table shows how the text matches a normal probability to text (where 'E' has the highest level of occurance and 'Z' has the least). The grey rows show what would be expected for the order, and the red one shows what your text gives for the order:

e

t

a

o

i

n

s

h

r

d

l

c

u

M

L

B

V

N

C

D

E

F

G

H

I

J

m

w

f

g

y

p

b

v

k

x

j

q

z

K

Z

Y

O

P

Q

R

S

T

U

W

X

A

Frequency Analysis

Predictions

From this we predict:

• From this I predict that M of your cipher text maps to e in plaintext.
• From this I predict that L of your cipher text maps to t in plaintext.
• From this I predict that B of your cipher text maps to a or o in plaintext.
• From this I predict that V of your cipher text maps to o or a in plaintext.