VtM V5 - Vampire Generator (v1.23)

Description (more info)

Icons made by Freepik from Flaticon
Hair Descriptors - credit: https://kathysteinemann.com/Musings/hair/
A lot of the inspiration for the formatting of the Description Generation came from the wonderful Springhole Vampire Generator

This chart uses input variables
Result

{# VARIABLE SETUPS #}

{%_skillpoints = {{15}+{1d8}}%}
{%_num = {3}%}
{%_predatorType = {CHART("VtM V5 - Predator Types")}%}
{%_bloodPotency = {0}%}
{%_bloodPotencyOutput = {"0/0"}%}

{%if _gen == {Random}%}
{%_gen = {CHART("VtM V5 - Generation")}%}
{%end%}

{%_tempClan = {$_clan}%}

{%if _clan == {Random}%}
{%_tempClan = {CHART("VtM V5 - Clans")}%}
{%end%}

{%if _gen == {14th}%}
{%_clan = "Thin-Blood"%}
{%end%}

{%if _gen == {15th}%}
{%_clan = "Thin-Blood"%}
{%end%}

{%if _gen == {16th}%}
{%_clan = "Thin-Blood"%}
{%end%}

{%if _clan != {Thin-Blood}%}
{%_clan = {$_tempClan}%}
{%end%}

Information

{%_personality = {CHART("Personality Traits (vampire)")}%}
{%_age = {0}%}

{%if _gen == {8th}%}

{%_aTwoDot = {28}%}
{%_aThreeDot = {18}%}
{%_aFourDot = {10}%}
{%_aFiveDot = {6}%}

{%_ageNum = {(1300+1d720-2020)*-1}%}
{%_age = {{$_ageNum} years ago}%}
{%_percentAge = {round(({$_ageNum}/720)*100)}%}
{%if _percentAge < {10}%}
{%_percentAge = {10}%}
{%end%}
{%_bTwo = {round({$_percentAge}/2)}%}
{%if _disciplinePred == {$_disciplineOne}%}
{%_disciplinePred = {}%}
{%_dOneNum = {{$_dOneNum}+1}%}
{%end%}
{%_bloodPotencyOutput = {$_bloodPotency}%}

{%end%}

{%if _gen == {9th}%}
{%_aTwoDot = {27}%}
{%_aThreeDot = {17}%}
{%_aFourDot = {9}%}
{%_aFiveDot = {5}%}

{%_ageNum = {(1500+1d520-2020)*-1}%}
{%_age = {{$_ageNum} years ago}%}
{%_percentAge = {round(({$_ageNum}/520)*100)}%}
{%if _percentAge < {10}%}
{%_percentAge = {10}%}
{%end%}
{%_bTwo = {round({$_percentAge}/2)}%}
{%if _clan != {Thin-Blood}%}
{%_bFour = {round({$_percentAge}/10)}%}
{%_bloodPotency = {2|{$_bTwo}%?3|{$_bThree}%?4|{$_bFour}%?5}%}
{%_bloodPotencyOutput = {$_bloodPotency}%}

{%end%}

{%if _gen == {10th}%}
{%_aTwoDot = {26}%}
{%_aThreeDot = {16}%}
{%_aFourDot = {8}%}
{%_aFiveDot = {4}%}

{%_ageNum = {(1700+1d320-2020)*-1}%}
{%_age = {{$_ageNum} years ago}%}
{%_percentAge = {round(({$_ageNum}/320)*100)}%}
{%if _percentAge < {10}%}
{%_percentAge = {10}%}
{%end%}
{%_bTwo = {round({$_percentAge}/2)}%}
{%_bThree = {round({$_percentAge}/4)}%}
{%_bFour = {round({$_percentAge}/10)}%}
{%_bloodPotency = {1|{$_bTwo}%?2|{$_bThree}%?3|{$_bFour}%?4}%}
{%_bloodPotencyOutput = {$_bloodPotency}%}

{%end%}

{%if _gen == {11th}%}
{%_aTwoDot = {25}%}
{%_aThreeDot = {15}%}
{%_aFourDot = {7}%}
{%_aFiveDot = {3}%}

{%_ageNum = {(1800+1d220-2020)*-1}%}
{%_age = {{$_ageNum} years ago}%}
{%_percentAge = {round(({$_ageNum}/220)*100)}%}
{%if _percentAge < {10}%}
{%_percentAge = {10}%}
{%end%}
{%_bTwo = {round({$_percentAge}/2)}%}
{%_bThree = {round({$_percentAge}/4)}%}
{%_bFour = {round({$_percentAge}/10)}%}
{%_bloodPotency = {1|{$_bTwo}%?2|{$_bThree}%?3|{$_bFour}%?4}%}
{%_bloodPotencyOutput = {$_bloodPotency}%}

{%end%}

{%if _gen == {12th}%}
{%_aTwoDot = {24}%}
{%_aThreeDot = {14}%}
{%_aFourDot = {6}%}
{%_aFiveDot = {2}%}

{%_ageNum = {(1900+1d120-2020)*-1}%}
{%_age = {{$_ageNum} years ago}%}
{%_percentAge = {round(({$_ageNum}/120)*100)}%}
{%if _percentAge < {10}%}
{%_percentAge = {10}%}
{%end%}
{%_bTwo = {round({$_percentAge}/2)}%}
{%_bThree = {round({$_percentAge}/4)}%}
{%_bloodPotency = {1|{$_bTwo}%?2|{$_bThree}%?3}%}
{%_bloodPotencyOutput = {$_bloodPotency}%}

{%end%}

{%if _gen == {13th}%}
{%_aTwoDot = {23}%}
{%_aThreeDot = {13}%}
{%_aFourDot = {5}%}
{%_aFiveDot = {1}%}

{%_ageNum = {(1950+1d70-2020)*-1}%}
{%_age = {{$_ageNum} years ago}%}
{%_percentAge = {round(({$_ageNum}/70)*100)}%}
{%if _percentAge < {10}%}
{%_percentAge = {10}%}
{%end%}
{%_bTwo = {round({$_percentAge}/2)}%}
{%_bThree = {round({$_percentAge}/4)}%}
{%_bloodPotency = {1|{$_bTwo}%?2|{$_bThree}%?3}%}
{%_bloodPotencyOutput = {$_bloodPotency}%}

{%end%}

{%if _gen == {14th}%}
{%_aTwoDot = {22}%}
{%_aThreeDot = {12}%}
{%_aFourDot = {3}%}
{%_aFiveDot = {0}%}

{%_age = {50%?{a few|many} months ago|{1d5} years ago}%}
{%_bloodPotency = {0}%}

{%_ageNum = {1}%}
{%end%}

{%if _gen == {15th}%}
{%_aTwoDot = {21}%}
{%_aThreeDot = {11}%}
{%_aFourDot = {2}%}
{%_aFiveDot = {0}%}

{%_age = {60%?{a few|many} months ago|{1d3} years ago}%}
{%_bloodPotency = {0}%}

{%_ageNum = {1}%}
{%end%}

{%if _gen == {16th}%}
{%_aTwoDot = {20}%}
{%_aThreeDot = {10}%}
{%_aFourDot = {1}%}
{%_aFiveDot = {0}%}

{%_age = {70%?{a few|many} months ago|{1d2} years ago}%}
{%_bloodPotency = {0}%}

{%_ageNum = {1}%}
{%end%}

{%_percentAgeTotal = {ceil(({$_ageNum}/720)*100)}%}

{%_gender = {49%?man|49%?woman|gender neutral person}%}
{%_aged = {50%?young|35%?middle-aged|older}%}
{%_fashion = {none}%}

{%if _gender == {man}%}
{%_fashion = {CHART("Men's Fashion")}%}
{%end%}

{%if _gender == {woman}%}
{%_fashion = {CHART("Women's Fashion")}%}
{%end%}

{%if _gender == {gender neutral person}%}
{%_fashion = {CHART("Women's Fashion")|CHART("Men's Fashion")}%}
{%end%}

{%_eyes = {{light|dark|intense|soft|fierce|gentle} {amber|blue|brown|gray|green|hazel}}%}
{%_hair = {95%?{long|short|medium|} {CHART("Hair Descriptors")} {brown hair|blond hair|black hair|auburn hair|red hair|{purple hair|green hair|blue hair|pink hair}}|a bald head}%}

{%if _aged == {older}%}
{%_hair = {95%?{long|short|medium|} {CHART("Hair Descriptors")} {graying hair|white hair|{brown hair|blond hair|black hair|auburn hair|red hair}}|a bald head}%}
{%end%}

{%_nos = { }%}
{%if _clan == {Nosferatu}%}
{%_nos = {They are particularly {CHART("Nosferatu Descriptions")} and have {CHART("Nosferatu Features")} and {CHART("Nosferatu Features")}.} %}
{%end%}

{%_skin = {{tone|pigment|cast|texture} of {CHART("Vampire - Skin Tones")} hues} %}

{%_goalOne = {CHART("UNE - NPC Motivation")}%}
{%_goalTwo = {CHART("UNE - NPC Motivation")}%}

{%_name = { }%}

{%if _gender == {woman}%}
{%_name = {{CHART("200 Random Feminine Names")}{CHART("500 Random Surnames")}}%}
{%end%}
{%if _gender == {man}%}
{%_name = {{CHART("200 Random Masculine Names")}{CHART("500 Random Surnames")}}%}
{%end%}
{%if _gender == {gender neutral person}%}
{%_name = {{CHART("200 Random Masculine Names")|CHART("200 Random Feminine Names")}{CHART("500 Random Surnames")}}%}
{%end%}

{%_malk = { }%}
{%if _clan == {Malkavian}%}
{%_secondary = {|{have {an overt|a subtle|a} tendency toward being {CHART("WoD - Disorders")} and }}%}
{%_primary = {{strongly|subtly|} exhibit {CHART("WoD - Derangements")}}%}
{%_malk = { They {$_secondary}{$_primary}.}%}
{%end%}

NAME: {$_name}

This {$_personality} {$_clan} Kindred is a {$_aged} {$_gender}, they Resolve: {were turned|became a vampire|died|were embraced} {$_age}. {$_nos} They have {$_hair} and {$_eyes} eyes. They have a skin {$_skin}. Their Resolve: {clothing|style|dress} preference is {$_fashion}.{$_malk} Their Resolve: {goal|priority|ambition|motivation|impulse|cause} is to "{$_goalOne}" and to "{$_goalTwo}".

Stats

CLAN: {$_clan}

GENERATION: {$_gen}

{%_secretAttDie = {ceil(({$_percentAgeTotal}/100)*10)}%}
{%_aPoints = {20+2d5+{$_secretAttDie}}%}
{% _attributes = create_stat_block max_point:5 min_point:1 skills:"Strength, Dexterity, Stamina, Charisma, Manipulation, Composure, Intelligence, Wits, Resolve" total_points:{$_aPoints} %}

ATTRIBUTES:
Strength ({{_attributes.Strength}}) Charisma ({{_attributes.Charisma}}) Intelligence ({{_attributes.Intelligence}})
Dexterity ({{_attributes.Dexterity}}) Manipulation ({{_attributes.Manipulation}}) Wits ({{_attributes.Wits}})
Stamina ({{_attributes.Stamina}}) Composure ({{_attributes.Composure}}) Resolve ({{_attributes.Resolve}})

{%_secretSkillDie = {ceil(({$_percentAgeTotal}/100)*30)}%}
{%_sPoints = {1d{$_secretSkillDie}+20+5d6}%}
{% _skills = create_stat_block max_point:5 min_point:0 skills:"Athletics, Animal_Ken, Academics, Brawl, Etiquette, Awareness, Craft, Insight, Finance, Drive, Intimidation, Investigation, Firearms, Leadership, Medicine, Melee, Performance, Occult, Larceny, Persuasion, Politics, Stealth, Streetwise, Science, Survival, Subterfuge, Technology" total_points:{$_sPoints} %}

SKILLS:
Athletics ({{_skills.Athletics}}) Animal Ken ({{_skills.Animal_Ken}}) Academics ({{_skills.Academics}})
Brawl ({{_skills.Brawl}}) Etiquette ({{_skills.Etiquette}}) Awareness ({{_skills.Awareness}})
Craft ({{_skills.Craft}}) Insight ({{_skills.Insight}}) Finance ({{_skills.Finance}})
Drive ({{_skills.Drive}}) Intimidation ({{_skills.Intimidation}}) Investigation ({{_skills.Investigation}})
Firearms ({{_skills.Firearms}}) Leadership ({{_skills.Leadership}}) Medicine ({{_skills.Medicine}})
Melee ({{_skills.Melee}}) Performance ({{_skills.Performance}}) Occult ({{_skills.Occult}})
Larceny ({{_skills.Larceny}}) Persuasion ({{_skills.Persuasion}}) Politics ({{_skills.Politics}})
Stealth ({{_skills.Stealth}}) Streetwise ({{_skills.Streetwise}}) Science ({{_skills.Science}})
Survival ({{_skills.Survival}}) Subterfuge ({{_skills.Subterfuge}}) Technology ({{_skills.Technology}})

HEALTH: {{_attributes.Stamina}} + 3 WILLPOWER: {{_attributes.Composure}} + {{_attributes.Resolve}}

{%_disciplineOne = {}%}
{%_dOneNum = {1|{$_aTwoDot}%?2|{$_aThreeDot}%?3|{$_aFourDot}%?4|{$_aFiveDot}%?5}%}

{%_disciplineTwo = {}%}
{%_dTwoNum = {1|{$_aTwoDot}%?2|{$_aThreeDot}%?3|{$_aFourDot}%?4|{$_aFiveDot}%?5}%}

{%_disciplineThree = {}%}
{%_dThreeNum = {1|{$_aTwoDot}%?2|{$_aThreeDot}%?3|{$_aFourDot}%?4|{$_aFiveDot}%?5}%}

{%_disciplinePred = {A}%}
{%_dPredNum = {1}%}

{%_dPoints = {round(({$_percentAgeTotal}/100)*16+3+d2)}%}
{% _discPoints = create_stat_block max_point:5 min_point:1 skills:"one, two, three, pred" total_points:{$_dPoints} %}
{%_dOneNum = {{_discPoints.one}}%}
{%_dTwoNum = {{_discPoints.two}}%}
{%_dThreeNum = {{_discPoints.three}}%}
{%_dPredNum = {{_discPoints.pred}}%}

{%_dNum = {2|{$_percentAgeTotal}%?3}%}

{%if _clan == {Banu Haqim}%}
{%_disciplineOne = {Blood Sorcery|Celerity|Obfuscate|CHART("VtM V5 - Disciplines")}%}
{%_disciplineTwo = {Blood Sorcery|Celerity|Obfuscate|CHART("VtM V5 - Disciplines")}%}
{%_disciplineThree = {Blood Sorcery|Celerity|Obfuscate|CHART("VtM V5 - Disciplines")}%}
{%end%}

{%if _clan == {Brujah}%}
{%_disciplineOne = {Celerity|Potence|Presence|CHART("VtM V5 - Disciplines")}%}
{%_disciplineTwo = {Celerity|Potence|Presence|CHART("VtM V5 - Disciplines")}%}
{%_disciplineThree = {Celerity|Potence|Presence|CHART("VtM V5 - Disciplines")}%}
{%end%}

{%if _clan == {Gangrel}%}
{%_disciplineOne = {Animalism|Fortitude|Protean|CHART("VtM V5 - Disciplines")}%}
{%_disciplineTwo = {Animalism|Fortitude|Protean|CHART("VtM V5 - Disciplines")}%}
{%_disciplineThree = {Animalism|Fortitude|Protean|CHART("VtM V5 - Disciplines")}%}
{%end%}

{%if _clan == {Lasombra}%}
{%_disciplineOne = {Dominate|Oblivion|Potence|CHART("VtM V5 - Disciplines")}%}
{%_disciplineTwo = {Dominate|Oblivion|Potence|CHART("VtM V5 - Disciplines")}%}
{%_disciplineThree = {Dominate|Oblivion|Potence|CHART("VtM V5 - Disciplines")}%}
{%end%}

{%if _clan == {Malkavian}%}
{%_disciplineOne = {Auspex|Obfuscate|Dominate|CHART("VtM V5 - Disciplines")}%}
{%_disciplineTwo = {Auspex|Obfuscate|Dominate|CHART("VtM V5 - Disciplines")}%}
{%_disciplineThree = {Auspex|Obfuscate|Dominate|CHART("VtM V5 - Disciplines")}%}
{%end%}

{%if _clan == {Nosferatu}%}
{%_disciplineOne = {Animalism|Obfuscate|Potence|CHART("VtM V5 - Disciplines")}%}
{%_disciplineTwo = {Animalism|Obfuscate|Potence|CHART("VtM V5 - Disciplines")}%}
{%_disciplineThree = {Animalism|Obfuscate|Potence|CHART("VtM V5 - Disciplines")}%}
{%end%}

{%if _clan == {Ministry}%}
{%_disciplineOne = {Obfuscate|Presence|Protean|CHART("VtM V5 - Disciplines")}%}
{%_disciplineTwo = {Obfuscate|Presence|Protean|CHART("VtM V5 - Disciplines")}%}
{%_disciplineThree = {Obfuscate|Presence|Protean|CHART("VtM V5 - Disciplines")}%}
{%end%}

{%if _clan == {Toreador}%}
{%_disciplineOne = {Auspex|Celerity|Presence|CHART("VtM V5 - Disciplines")}%}
{%_disciplineTwo = {Auspex|Celerity|Presence|CHART("VtM V5 - Disciplines")}%}
{%_disciplineThree = {Auspex|Celerity|Presence|CHART("VtM V5 - Disciplines")}%}
{%end%}

{%if _clan == {Tremere}%}
{%_disciplineOne = {Auspex|Dominate|Blood Sorcery|CHART("VtM V5 - Disciplines")}%}
{%_disciplineTwo = {Auspex|Dominate|Blood Sorcery|CHART("VtM V5 - Disciplines")}%}
{%_disciplineThree = {Auspex|Dominate|Blood Sorcery|CHART("VtM V5 - Disciplines")}%}
{%end%}

{%if _clan == {Ventrue}%}
{%_disciplineOne = {Dominate|Fortitude|Presence|CHART("VtM V5 - Disciplines")}%}
{%_disciplineTwo = {Dominate|Fortitude|Presence|CHART("VtM V5 - Disciplines")}%}
{%_disciplineThree = {Dominate|Fortitude|Presence|CHART("VtM V5 - Disciplines")}%}
{%end%}

{%if _clan == {Caitiff}%}
{%_disciplineOne = {CHART("VtM V5 - Disciplines")}%}
{%_disciplineTwo = {CHART("VtM V5 - Disciplines")}%}
{%_disciplineThree = {CHART("VtM V5 - Disciplines")}%}
{%end%}

{%if _predatorType == {Alleycat (Core pg.175)}%}
{%_disciplinePred = {Celerity|Potence}%}
{%end%}
{%if _predatorType == {Bagger (Core pg.176)}%}
{%_disciplinePred = {Blood Sorcery|Obfuscate}%}
{%end%}
{%if _predatorType == {Blood Leech (Core pg.176)}%}
{%_disciplinePred = {Celerity|Protean}%}
{%end%}
{%if _predatorType == {Cleaver (Core pg.176)}%}
{%_disciplinePred = {Dominate|Animalism}%}
{%end%}
{%if _predatorType == {Consensualist (Core pg.177)}%}
{%_disciplinePred = {Auspex|Fortitude}%}
{%end%}
{%if _predatorType == {Farmer (Core pg.177)}%}
{%_disciplinePred = {Animalism|Protean}%}
{%end%}
{%if _predatorType == {Osiris (Core pg.177)}%}
{%_disciplinePred = {Blood Sorcery|Presence}%}
{%end%}
{%if _predatorType == {Sandman (Core pg.177)}%}
{%_disciplinePred = {Auspex|Obfuscate}%}
{%end%}
{%if _predatorType == {Scene Queen (Core pg.178)}%}
{%_disciplinePred = {Dominate|Potence}%}
{%end%}
{%if _predatorType == {Siren (Core pg.178)}%}
{%_disciplinePred = {Fortitude|Presence}%}
{%end%}

{%if _dNum == {1}%}
{%_disciplineTwo = {}%}
{%_disciplineThree = {}%}
{%end%}
{%if _dNum == {2}%}
{%_disciplineThree = {}%}
{%end%}

{%if _disciplineThree == {$_disciplineTwo}%}
{%_disciplineThree = {}%}
{%_dTwoNum = {{$_dTwoNum}+1}%}
{%end%}
{%if _disciplineTwo == {$_disciplineOne}%}
{%_disciplineTwo = {}%}
{%_dOneNum = {{$_dOneNum}+1}%}
{%end%}

{%if _disciplinePred == {$_disciplineThree}%}
{%_disciplinePred = {}%}
{%_dThreeNum = {{$_dThreeNum}+1}%}
{%end%}
{%if _disciplinePred == {$_disciplineTwo}%}
{%_disciplinePred = {}%}
{%_dTwoNum = {{$_dTwoNum}+1}%}
{%end%}
{%if _disciplinePred == {$_disciplineOne}%}
{%_disciplinePred = {}%}
{%_dOneNum = {{$_dOneNum}+1}%}
{%end%}

{%if _dOneNum > {5}%}
{%_dOneNum = {5}%}
{%end%}
{%if _dTwoNum > {5}%}
{%_dTwoNum = {5}%}
{%end%}
{%if _dThreeNum > {5}%}
{%_dThreeNum = {5}%}
{%end%}

{%_buildTwo = {, {$_disciplineTwo} ({$_dTwoNum})}%}
{%if _disciplineTwo == {}%}
{%_buildTwo = {}%}
{%end%}

{%_buildThree = {, {$_disciplineThree} ({$_dThreeNum})}%}
{%if _disciplineThree == {}%}
{%_buildThree = {}%}
{%end%}

{%_buildPred = {, {$_disciplinePred} ({$_dPredNum})}%}
{%if _disciplinePred == {}%}
{%_buildPred = {}%}
{%end%}

{%if _clan != {Thin-Blood}%}
DISCIPLINES: {$_disciplineOne} ({$_dOneNum}){$_buildTwo}{$_buildThree}{$_buildPred}

{%if _clan != {Thin-Blood}%}
BLOOD POTENCY: {$_bloodPotencyOutput} (pg.216)
{%end%}

PREDATOR TYPE: {$_predatorType}
{%end%}

{%if _clan == {Thin-Blood}%}
THIN-BLOOD MERITS: Roll on {Roll on "VtM V5 - Thin-Blood Merits"} 1d1 times
THIN-BLOOD FLAWS: Roll on {Roll on "VtM V5 - Thin-Blood Flaws"} 1d1 times
{%end%}

Subcharts

VtM V5 - Thin-Blood Flaws (d8)

d8 Result

1

Baby Teeth (pg.182)

2

Bestial Temper (pg.182)

3

Branded by the Camarilla (pg.182)

4

Clan Curse (pg.183)

5

Dead Flesh (pg.183)

6

Mortal Frailty (pg.183)

7

Shunned by the Anarchs (pg.183)

8

Vitae Dependency (pg.183)

VtM V5 - Thin-Blood Merits (d8)

d8 Result

1

Anarch Comrades (pg.183)

2

Camarilla Contact (pg.183)

3

Catenating Blood (pg.183)

4

Day Drinker (pg.183)

5

Discipline Affinity (pg.184)

6

Lifelike(pg.184)

7

Thin-blood Alchemist (pg.184)

8

Vampiric Resilience(pg.184)

Women's Fashion (d37)

d37 Result

1

androgyny

2

anti-fashion

3

bohemian style

4

boho-chic

5

business casual

6

chic

7

clubwear

8

communist chic

9

cycle chic

10

empire silhouette

11

flapper

12

gamine

13

geek

14

gibson girl

15

gothic fashion

16

grunge fashion

17

heroin chic

18

hipster

19

ivy league

20

luxe grunge

21

preppy

22

soft grunge

23

thrift store chic

24

sports wear

25

formal office wear

26

streetwear

27

hip hop

28

scene fashion

29

retro

30

punk

31

psychedelic fashion

32

haute couture

33

modest

34

rave

35

flamboyant

36

casual

37

conservative

Men's Fashion (d26)

d26 Result

1

androgyny

2

anti-fashion

3

bohemian style

4

business casual

5

clubwear

6

geek

7

gothic fashion

8

grunge fashion

9

hipster

10

ivy league

11

preppy

12

soft grunge

13

thrift store chic

14

sports wear

15

formal office wear

16

streetwear

17

hip hop

18

scene fashion

19

retro

20

punk

21

haute couture

22

modest

23

rave

24

flamboyant

25

casual

26

conservative

Nosferatu Descriptions (d17)

d17 Result

1

blighted

2

blubbery

3

charred

4

dreadful

5

engorged

6

flaccid

7

mangy

8

nauseating

9

oozing

10

petrified

11

putrefied

12

reptilian

13

repulsive

14

rubbery

15

scabrous

16

scarred

17

withered

Nosferatu Features (d14)

d14 Result

1

long needle-like teeth

2

long thin fingers

3

long pointy ears

4

sickly gaunt features

5

burns all over their body

6

no Resolve: {lips|nose|eyelids|ears}

7

a mouth like a muzzle

8

multiple rows of teeth

9

leathery skin

10

large boils all over their body

11

skin rotted away in patches

12

large bone spur protrusions that poke through the skin

13

a bloated abdomen that moves like its full of liquid

14

skin that is covered in bark like scabs

200 Random Feminine Names (d200)

d200 Result

1

Nathalie 

2

Monet 

3

Elna 

4

Georgeann 

5

Lela 

6

Marlana 

7

Kiera 

8

Madelaine 

9

Jerilyn 

10

Josefa 

11

Toya 

12

Debora 

13

Skye 

14

Else 

15

Willow 

16

Larita 

17

Lelah 

18

Cristine 

19

Helena 

20

Katrice 

21

Victoria 

22

Jaimee 

23

Evonne 

24

Annamarie 

25

Jovita 

26

Audra 

27

Milly 

28

Charolette 

29

Junie 

30

Stephani 

31

Anissa 

32

Lucienne 

33

Irmgard 

34

Arla 

35

Taren 

36

Kum 

37

Kathi 

38

Marylou 

39

Nadene 

40

Mollie 

41

Jayne 

42

Lorraine 

43

France 

44

Laurena 

45

Nilsa 

46

Brittni 

47

Chasity 

48

Belle 

49

Marquetta 

50

Majorie 

51

Marline 

52

Mikaela 

53

Floria 

54

Kiara 

55

Tomiko 

56

Irish 

57

Stefania 

58

Agustina 

59

Aleshia 

60

Maren 

61

Lois 

62

Ilda 

63

Annika 

64

Racquel 

65

Simonne 

66

Annita 

67

Mable 

68

Odette 

69

Etha 

70

Lisabeth 

71

Elenora 

72

Santa 

73

Joelle 

74

Lashonda 

75

Florine 

76

Nikia 

77

Shakia 

78

Shalon 

79

Meghann 

80

Candi 

81

Zula 

82

Terra 

83

Meaghan 

84

Charissa 

85

Carley 

86

Fernande 

87

Peggy 

88

Jeffie 

89

Berta 

90

Janae 

91

Kit 

92

Talia 

93

Cherlyn 

94

Waltraud 

95

Syreeta 

96

Iliana 

97

Marissa 

98

Lisandra 

99

Kay 

100

Tempie 

101

Monika 

102

Carolin 

103

Jonie 

104

Jacquelynn 

105

Hellen 

106

Rachael 

107

Avis 

108

Guillermina 

109

Ruby 

110

Tonya 

111

Corie 

112

Lulu 

113

Angele 

114

Isabel 

115

Mirella 

116

Kara 

117

Camie 

118

Thea 

119

Leilani 

120

Lavonne 

121

Nakia 

122

Casimira 

123

Estela 

124

Felisha 

125

Jolie 

126

Niesha 

127

Melony 

128

Francisca 

129

Lindsy 

130

Cher 

131

Cleora 

132

Madeline 

133

Lu 

134

Tiara 

135

Kym 

136

Dawna 

137

Sherlene 

138

Elsa 

139

Kenya 

140

Bruna 

141

Daphne 

142

Nereida 

143

Pilar 

144

Marietta 

145

Tonita 

146

Maire 

147

Twanda 

148

Hildegarde 

149

Annis 

150

Deneen 

151

Imelda 

152

Britni 

153

Han 

154

Neomi 

155

Huong 

156

Christie 

157

Alda 

158

Veta 

159

Maira 

160

Antonina 

161

Aletha 

162

Ranee 

163

Ivey 

164

Lisa 

165

Sherilyn 

166

Amina 

167

Shavonne 

168

Nida 

169

Delorse 

170

Madalene 

171

Lavone 

172

Eugenia 

173

Rhona 

174

Maryalice 

175

Chanell 

176

Roselle 

177

Sana 

178

Katerine 

179

Eunice 

180

Marilyn 

181

Nenita 

182

Lolita 

183

Tanna 

184

Jessenia 

185

Izola 

186

Tessie 

187

Jesusita 

188

Marisol 

189

Torrie 

190

Reena 

191

Tama 

192

Salley 

193

Glady 

194

Mona 

195

Suzy 

196

Xuan 

197

Taunya 

198

Gina 

199

Marisa 

200

Mira 

200 Random Masculine Names (d200)

d200 Result

1

Abram 

2

Alex 

3

Archie 

4

Cedrick 

5

Armando 

6

Winford 

7

Mose 

8

Graham 

9

Collin 

10

Shelton 

11

Osvaldo 

12

Joey 

13

Lou 

14

Rick 

15

Marquis 

16

Robbie 

17

Pasquale 

18

Harris 

19

Marty 

20

Ulysses 

21

Monty 

22

Glen 

23

Vance 

24

Roman 

25

Cleo 

26

Hoyt 

27

Damon 

28

Monte 

29

Branden 

30

Bobby 

31

Chet 

32

Joe 

33

Leif 

34

Chi 

35

Ezra 

36

Cesar 

37

Brad 

38

Fernando 

39

Dewitt 

40

Claud 

41

Eddie 

42

Shawn 

43

Wilbert 

44

Javier 

45

Derick 

46

Kristofer 

47

Horace 

48

Jackson 

49

Sid 

50

Quentin 

51

Tyson 

52

Jerold 

53

Erik 

54

Mohammad 

55

Boris 

56

Whitney 

57

Gil 

58

Gonzalo 

59

Domenic 

60

Boyce 

61

Troy 

62

Randall 

63

Simon 

64

Steven 

65

Jon 

66

Gene 

67

Korey 

68

Rich 

69

Silas 

70

Randal 

71

Laverne 

72

Jonas 

73

Duane 

74

Wes 

75

Emmett 

76

Josue 

77

Lucien 

78

Isreal 

79

Matt 

80

Wilson 

81

Sidney 

82

Jason 

83

Ruben 

84

Jordon 

85

Cole 

86

Jean 

87

Winfred 

88

Eugenio 

89

Elvis 

90

Bryan 

91

Casey 

92

Glen 

93

Riley 

94

Broderick 

95

Darron 

96

Billy 

97

Lauren 

98

Nicky 

99

Elvin 

100

Malcolm 

101

Bret 

102

Oliver 

103

Arnoldo 

104

Ahmad 

105

Arnulfo 

106

Ike 

107

Oswaldo 

108

Saul 

109

Vicente 

110

Jon 

111

Julio 

112

Moshe 

113

Lindsey 

114

Winfred 

115

Filiberto 

116

Luis 

117

Mickey 

118

Seymour 

119

Christoper 

120

Tommie 

121

Fidel 

122

Gilberto 

123

Bernie 

124

Terrance 

125

Jake 

126

Erich 

127

Charley 

128

Jefferey 

129

Bob 

130

Burt 

131

Rob 

132

Malik 

133

Rico 

134

Jacob 

135

Hung 

136

Michael 

137

Emile 

138

Ian 

139

Josiah 

140

Cary 

141

Kirby 

142

Eric 

143

Solomon 

144

Shelton 

145

Joshua 

146

Felton 

147

Fermin 

148

Carlton 

149

Willian 

150

Deandre 

151

Elliot 

152

Ervin 

153

Erick 

154

Emmitt 

155

Noble 

156

Boyd 

157

Genaro 

158

Mason 

159

Thurman 

160

Galen 

161

Frank 

162

Young 

163

Adolfo 

164

Antoine 

165

Ralph 

166

Dennis 

167

Isaiah 

168

Rob 

169

Elmer 

170

Benedict 

171

Ira 

172

Nick 

173

Vern 

174

Parker 

175

Rosario 

176

Willis 

177

Ellsworth 

178

Broderick 

179

Omar 

180

Valentin 

181

Cletus 

182

Prince 

183

Kerry 

184

Loyd 

185

Lyndon 

186

Thad 

187

Lindsay 

188

Grover 

189

David 

190

Johnathan 

191

Jeremy 

192

Ernie 

193

Theo 

194

Garry 

195

Trevor 

196

Werner 

197

Lyle 

198

Dominick 

199

Jon 

200

Leo 

500 Random Surnames (d500)

d500 Result

1

Brock

2

Patel

3

Wiggins

4

Munoz

5

Nguyen

6

Mayo

7

Mcdaniel

8

Wright

9

Bass

10

Newton

11

Velasquez

12

Knox

13

Baker

14

Fletcher

15

Lawrence

16

Moreno

17

Baldwin

18

Duke

19

Carey

20

Mcfarland

21

Knapp

22

Conner

23

Klein

24

Kline

25

Hoffman

26

Weeks

27

Browning

28

Villarreal

29

Alvarez

30

Mason

31

Haynes

32

Rivera

33

Vazquez

34

Whitehead

35

Bright

36

Roach

37

Moody

38

Lara

39

Lopez

40

Horne

41

Fleming

42

Collins

43

Lloyd

44

Osborne

45

Blevins

46

Vance

47

Sutton

48

Carroll

49

Peterson

50

Roth

51

Luna

52

Davila

53

Rivas

54

Roy

55

Ponce

56

Freeman

57

Floyd

58

Dalton

59

Hunter

60

Griffith

61

Goodman

62

Silva

63

Hartman

64

Coffey

65

Marshall

66

Travis

67

Burton

68

Murray

69

Bennett

70

Hodges

71

Atkinson

72

Wilkinson

73

Woods

74

Crosby

75

Schmidt

76

Lynch

77

Branch

78

Ellison

79

Anthony

80

Ramsey

81

Moon

82

Hooper

83

Maldonado

84

Wall

85

Yoder

86

Holloway

87

Ware

88

Pierce

89

Smith

90

Morrow

91

Day

92

Golden

93

Mcbride

94

Green

95

Gates

96

Landry

97

Abbott

98

Butler

99

Velez

100

Gutierrez

101

Perry

102

Brady

103

Duncan

104

Archer

105

May

106

Dunlap

107

Bullock

108

Valdez

109

Underwood

110

Robinson

111

Lyons

112

Schmitt

113

Meza

114

Trujillo

115

Carney

116

Crane

117

Goodwin

118

Carr

119

Preston

120

Bush

121

Mcmillan

122

Barnett

123

Stephens

124

Santos

125

Duran

126

Friedman

127

Marsh

128

Lambert

129

Blackburn

130

White

131

Levy

132

Rollins

133

Dillon

134

Yu

135

Tran

136

Fischer

137

Huerta

138

Hendrix

139

Jordan

140

Fox

141

Sullivan

142

Fuller

143

Merritt

144

Stephenson

145

Glenn

146

Santiago

147

Richard

148

Yang

149

Velazquez

150

Zamora

151

Crawford

152

Morgan

153

Jefferson

154

Gaines

155

Gibbs

156

Scott

157

Johns

158

Harding

159

Singh

160

Powell

161

Reyes

162

Parrish

163

Hobbs

164

Bolton

165

Maynard

166

Meyer

167

Hanna

168

Williams

169

Roberson

170

Davidson

171

Craig

172

Callahan

173

Young

174

Spencer

175

Ball

176

James

177

Summers

178

Morrison

179

Choi

180

Horton

181

Castro

182

Mcintyre

183

Bowers

184

Kemp

185

Swanson

186

Herrera

187

Gay

188

Prince

189

Fowler

190

Keith

191

Boyd

192

Anderson

193

Mcclure

194

Strong

195

Alexander

196

Soto

197

Bird

198

Farmer

199

Davies

200

Marquez

201

Riley

202

Glass

203

Gross

204

Lang

205

Arias

206

Drake

207

Morales

208

Doyle

209

Barton

210

Watts

211

Washington

212

Farrell

213

Meadows

214

Warner

215

Hoover

216

Carlson

217

Christian

218

Werner

219

Torres

220

Knight

221

Downs

222

Blake

223

Park

224

Calderon

225

Woodard

226

Banks

227

Peck

228

Faulkner

229

Clark

230

Hawkins

231

Rocha

232

Nelson

233

House

234

Lucero

235

Gibson

236

Rivers

237

Sparks

238

Manning

239

Liu

240

Deleon

241

Shields

242

Rowe

243

Boyer

244

Campos

245

Olson

246

Bell

247

Mercer

248

Bishop

249

Kramer

250

Fry

251

Miles

252

Buchanan

253

Mendez

254

Rosales

255

Sloan

256

Hahn

257

Lin

258

Cunningham

259

Parsons

260

Long

261

Ewing

262

Mcdonald

263

Brennan

264

Ross

265

Gonzales

266

Douglas

267

Santana

268

Hatfield

269

Horn

270

Noble

271

Caldwell

272

Mitchell

273

Rubio

274

Ho

275

Blanchard

276

Chavez

277

Fitzgerald

278

Zavala

279

Burch

280

Higgins

281

Gould

282

Norris

283

Holden

284

Burke

285

Gray

286

Harper

287

Hale

288

Krause

289

Armstrong

290

Valenzuela

291

Cabrera

292

Bailey

293

Conrad

294

Alvarado

295

Fuentes

296

Murillo

297

Pena

298

Sosa

299

Whitaker

300

Bernard

301

Mcconnell

302

Galloway

303

Maxwell

304

Harrison

305

Sherman

306

Dominguez

307

Cantu

308

Gardner

309

Oliver

310

Odonnell

311

Holmes

312

Riddle

313

Palmer

314

David

315

Cain

316

Hess

317

Cox

318

Everett

319

Randall

320

Carpenter

321

Ruiz

322

Pittman

323

Hood

324

Sweeney

325

Holt

326

Parks

327

Malone

328

Sandoval

329

Mccullough

330

Fitzpatrick

331

Jennings

332

Carson

333

Schaefer

334

Mahoney

335

Pollard

336

Contreras

337

Barajas

338

Reid

339

Lozano

340

Rowland

341

Patrick

342

Patton

343

Rush

344

Hicks

345

Trevino

346

Whitney

347

Buckley

348

Conway

349

Hubbard

350

Maddox

351

Mayer

352

Waters

353

Brown

354

Burns

355

Cowan

356

Hughes

357

Cortez

358

Flores

359

Weiss

360

Cannon

361

Villegas

362

Pope

363

Hansen

364

Nicholson

365

Phillips

366

Hunt

367

Neal

368

Frazier

369

Hull

370

Spence

371

Porter

372

Lee

373

Byrd

374

Heath

375

Melton

376

Escobar

377

Suarez

378

Thompson

379

Huang

380

Irwin

381

Williamson

382

Wilcox

383

Benton

384

Tucker

385

Rosario

386

Rhodes

387

Ortiz

388

Terry

389

Cooley

390

Kim

391

Richmond

392

Barker

393

Ayers

394

Mckay

395

Copeland

396

Tyler

397

Grant

398

Beltran

399

Price

400

Lamb

401

Kirk

402

Hampton

403

Hurst

404

Beasley

405

Mckinney

406

Bradshaw

407

Stewart

408

Wolf

409

Taylor

410

Orozco

411

Berg

412

Daniels

413

Ramos

414

Hudson

415

Mcknight

416

Cherry

417

Bauer

418

Yates

419

Lindsey

420

Huff

421

Cohen

422

Sawyer

423

Logan

424

Stanton

425

Wallace

426

Snyder

427

Wagner

428

French

429

Novak

430

Tanner

431

Patterson

432

Cantrell

433

Winters

434

Castaneda

435

Wong

436

Love

437

Roberts

438

Avery

439

Andersen

440

Potter

441

Leonard

442

Key

443

Cooke

444

Coleman

445

Woodward

446

Mcmahon

447

Glover

448

Tapia

449

Oneill

450

Hopkins

451

Greer

452

Melendez

453

English

454

Curry

455

Li

456

Walker

457

Cardenas

458

Haley

459

Ferrell

460

Zhang

461

Barnes

462

Castillo

463

Rodgers

464

Riggs

465

Salinas

466

Cooper

467

Daniel

468

Warren

469

Vega

470

Vasquez

471

Navarro

472

Mills

473

King

474

Hester

475

Colon

476

Henry

477

Schroeder

478

Hickman

479

Elliott

480

Acevedo

481

Little

482

Dorsey

483

Mclaughlin

484

Richardson

485

Humphrey

486

Jensen

487

Lowery

488

Cole

489

Odom

490

Rogers

491

Franco

492

Flynn

493

Waller

494

Evans

495

Villa

496

Shah

497

Durham

498

Chaney

499

Wells

500

Harris

Hair Descriptors (d83)

d83 Result

1

balding

2

bouncy

3

bristly

4

broken

5

brushed

6

burnished

7

burnt

8

bushy

9

cascading

10

clean

11

clipped

12

clumpy

13

coarse

14

coiffed

15

combed

16

cropped

17

curly

18

damaged

19

delicate

20

dirty

21

dull

22

dyed

23

feathery

24

fine

25

flat

26

flowing

27

fluffy

28

frizzy

29

fuzzy

30

gelled

31

gleaming

32

glossy

33

greasy

34

groomed

35

heavy

36

highlighted

37

kinked

38

ironed

39

lacquered

40

limp

41

luscious

42

moussed

43

nappy

44

patchy

45

permed

46

plush

47

polished

48

puffy

49

scorched

50

scraggly

51

severe

52

shaggy

53

shimmery

54

shiny

55

short

56

shoulder-length

57

silky

58

slicked-back

59

slimy

60

sparse

61

spiky

62

springy

63

stiff

64

straggly

65

straight

66

straightened

67

streaked

68

sweaty

69

teased

70

thick

71

thin

72

trimmed

73

uneven

74

unkempt

75

untamed

76

velvety

77

voluminous

78

wavy

79

wet

80

windswept

81

wild

82

wiry

83

wispy