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
{# 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%}
{%_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 "{$_goalTwo}".
CLAN: {$_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%}
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) |
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) |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |