Before anyone says something. I know Russia and Turkey span both Europe and Asia. For the sake of easier team building, the vote settled on counting them as Asia.

If you'd like to create teams, please send me a PM. Models are on a first come basis.

Team Creation:

Teams consist of four models, each representing a different continent - for example: one from North America, one from South America, one from Oceania, and one from Africa.

You may have no more than one A‑model or one D‑model on any team.

How Handicaps/Bonuses got assigned:

A‑Tier — “The Proven”

• Have consistent high performance in past matchups/comps

• Or you voted for them to be an A

B‑Tier — “The Backbone”

These models:

• Perform well but not at the A‑tier dominance level

• Are chosen often, but not always

• Have some standout strengths but also some matchup weaknesses

• Can outperform A‑tiers situationally

• Or you voted for them to be an B

C‑Tier — “The Secret Weapons”

These models:

• Models who rarely get picked, often due to obscurity or lack of exposure

• Historically underrepresented in competitions

• Capable of surprising upsets

• Or you voted for them to be an C

D‑Tier — “The Unproven or Unknown”

These models:

• Have little to no competition history [1 comp at best]

• Models who have never been picked for a team

• Models from very small agencies, new faces, or extremely niche markets

• Models who historically don’t perform well in comps

• Or you voted for them to be an D

Once a year, I review every model who competed and adjust their tier based on how they actually performed. Popularity rises and fades, and some models surge while others start to slip... so it’s completely normal for someone to move from an A to a B within a single year. It usually takes about three competitions before you can truly read a model’s momentum, consistency, and how the forum is responding to them.

Comp Structure:

Every model on your team will face every model on the opposing team. In a typical 1‑on‑1 setup, a model usually ends up matched against 3–4 opponents, and a four member team preserves that same dynamic. This structure creates a competitive environment where a model’s Tier determines how much of their raw score they actually keep... or gain, in each individual comparison

Handicap and Bonus Rules:

Handicaps and Bonuses are the "Leveling Factors." They ensure that a Tier C model (the underdog) has a path to victory against a Tier A model (the favorite).

A vs A - both keep 100% of raw score
A vs B - A −12% / B +8%
A vs C - A −15% / C +12%
A vs D - A −18% / D +15%

B vs B - both keep 100% of raw score
B vs C - B −12% / C +8%
B vs D - B −15% / D +12%

C vs C - both keep 100% of raw score
C vs D - C −12% / D +8%

D vs D - both keep 100% of raw score

The Calculation Method:

To calculate a model’s final score, we take their Raw Score and apply the appropriate tier handicap/bonus four separate times, once for each member of the opposing team.

Score Example:

Team 1:

Adriana [A] - 24

Barbara [A] - 31

Cassey [B] - 43

Donna [C] - 59

vs,

Team 3:

Elizabeth [A] - 33

Fran [B] - 39

Grace [B] - 33

Heather [D] - 26

After Handicaps/Bonuses:

• Adriana [A] — 85.92

• Barbara [A] — 110.98

• Cassey [B] — 168.99

• Donna [C] — 245.44

TEAM 1 TOTAL: 611.33

• Elizabeth [A] — 123.09

• Fran [B] — 157.56

• Grace [B] — 133.32

• Heather [D] — 116.99

TEAM 3 TOTAL: 530.96

Example Breakdown: Adriana [A] (24 pts)

Because Adriana is Tier A, she is the “Anchor.”
In a vote against Team 3 (A, B, B, D), she must pay handicaps to the lower tier opponents.

vs. Elizabeth [A]:
24 × 1.00 = 24.00 (No change)

vs. Fran [B]:
24 × 0.88 = 21.12 (−12% handicap)

vs. Grace [B]:
24 × 0.88 = 21.12 (−12% handicap)

vs. Heather [D]:
24 × 0.82 = 19.68 (−18% handicap)

Adriana’s Final Score: 85.92

Why this makes the rounds closer?

This system prevents one "extremely popular" from carrying an entire team without effort.

A-Tier Models: They act as "Shields." Their raw scores often times are naturally high, but they take heavy hits. To win, they must significantly outscore the lower tiers to absorb the percentage losses.

C-Tier Models: They are the "Secret Weapons." When a C-tier model like Donna (59 pts) scores almost as high as an A-tier, she receives bonuses against nearly everyone on the other team. In the last round, Donna’s 59 raw points turned into 245.44 points because she was constantly gaining that +10% to +12% bonus.

Your Strategy:

This scoring system forces you, the voter, to think beyond just "who is the most popular." You have to calculate how handicaps and bonuses will effect your entire team.

• The Stacking Dilemma: Do you "stack" your team with heavy-hitting Tier A/B models, or do you spread them out to protect against the lower tiers? If you load up on several.

• The Danger of the "Lesser known C's and Unknown D's" - With thousands of models in the database, it’s impossible to know every face. This is where the game gets interesting. All it takes is a fresh, striking face from an "unknown" D-Tier model to completely dismantle a high-tier score. Because she is a D, she isn't just competing; she’s weaponized with bonuses.

I’ve seen it happen dozens of times: an A-Tier icon loses her lead because she was "nickel-and-dimed" by the percentage bonuses of a Tier C underdog. When you build your team, ask yourself: Is my Tier A anchor strong enough to handle a "nobody" who might just have the better photos?

Reserved Models:

• I need 4 to 8 images for each model on your team. If the model has a Bellazon thread or agency portfolio, you can often... though not always, find higher quality photos. You don’t need to resize anything, I’ll handle that. Just make sure the images are large and not horizontal. I reserve the right to replace any photos that won’t work for the formatting and processing I need to do.

• ❌ = I have the pictures, they are not resized/altered.

• ✅ = Pictures are resized and good to go.

  RESERVED MODELS

• AFRICA

  • Adut Akech - [South Sudan]

  • Anok Yai - [Egypt] ✅

  • Candice Swanepoel - [South Africa] ✅

  • Carys Schulze - [South Africa] ✅

  • Diolize Van Niekerk - [South Africa] ✅

  • Kelsey Petersen - [South Africa] ✅

  • Mariama Diallo - [Guinea] ✅

  • Mieke Visser - [South Africa] ✅

  • Rachelle Van Waardhuizen - [South Africa] ✅

  • Yana Haenisch - [Namibia] ✅

• ASIA

  • Adelina Novak – [Kyrgyzstan] ❌

  • Alexandra Pletnyova – [Russia] ✅

  • Anastasia Veretnova – [Russia] ❌

  • Angelina Michelle – [Russia] ❌

  • Aminah Layla – [Turkey] ❌

  • Gaia Tzairi - [Israel] ❌

  • Gayeanne Hazlewood – [Philippines] ✅

  • Huijia Chen - [China] ✅

  • Jessie Li Wang - [China]

  • Katya Gaydukova - [Russia] ✅

  • Lia Hool - [Israel] ❌

  • Miki Hamano - [Japan]

  • Natalie Kotova – [Russia] ✅

  • Romi Rozental - [Israel] ❌

  • Selina Gokce – [Turkey] ❌

  • Zehra Sebnem Gursu – [Turkey] ✅

• EUROPE

  • Alba Vejseli - [Albania] ✅

  • Alina Zhytielieva - [Ukraine] ✅

  • Audrey Thompson - [England] ✅

  • Carla Guetta - [France] ❌

  • Dajana Ponari - [Albania] ❌

  • Denisa Ciocoiu - [Romania] ❌

  • Deva Cassel - [Italy] ✅

  • Freya Tidy - [England] ❌

  • Frida Aasen - [ Norway] ✅

  • Georgia Ball - [England]

  • Hollie Ford - [England] ❌

  • Ida Zeile - [Sweden] ❌

  • Imaan Hammam - [Netherlands]

  • Jasmin Smit - [Netherlands] ✅

  • Laura Margesin - [Italy]

  • Lea Meniel - [France] ✅

  • Lillia Weddel - [England] ❌

  • Lilly Lagodka - [Germany] ❌

  • Margarida Corceiro - [Portugal]

  • Marie Tomas - [France] ❌

  • Nicola Cavanis - [Germany] ✅

  • Nika Verbitska - [Ukraine] ✅

  • Nikol Nikolova - [Bulgaria] ✅

  • Oksana Dehtyaruk - [Ukraine]

  • Paula Perez - [Spain] ✅

  • Ruth Elopuro - [Finland] ❌

  • Sara Moratilla - [Spain] ✅

  • Shana Koehler - [Spain] ✅

  • Sonya Starzhynska - [Ukraine] ❌

  • Sophia Luders - [Germany] ❌

  • Valeriya Kuklishyna - [Ukraine] ❌

  • Valeriya Lapidus - [Spain] ❌

  • Victoria Turner - [England] ✅

  • Vika Bronova - [Ukraine] ❌

  • Youlia Maksimtchouk - [France] ❌

• OCEANIA

  • Alysha Bandy - [Australia] ❌

  • Brittany Hamilton - [Australia] ❌

  • Casey James - [Australia] ❌

  • Chanel Stewart - [Australia] ❌

  • Chloe Campbell - [Australia]

  • Crystal Bellotti - [Australia] ❌

  • Elise Zecevic - [Australia] ✅

  • Elisha Herbert - [Australia] ❌

  • Ella Cervetto - [Australia] ✅

  • Gabby Epstein - [Australia] ❌

  • Hope Kelesis - [Australia] ❌

  • Isabelle Mathers - [Australia]

  • Jemima Robinson - [Australia] ❌

  • Katie Kugis - [Australia] ❌

  • Kristina Mendonca - [Australia] ❌

  • Kushi Leggo - [Australia] ✅

  • Lily Easton - [Australia] ✅

  • Mikaela Bell - [Australia] ❌

  • Milli Ross - [Australia] ❌

  • Olivia Mathers - [Australia]

  • Renee Murden - [Australia] ❌

  • Roberta George - [New Zealand] ❌

  • Paige Henry - [New Zealand] ❌

  • Saskia Jenkins - [Australia] ✅

  • Stella Hanan - [Australia] ✅

  • Stephanie Mandic - [Australia] ❌

  • Summer Hart - [Australia] ❌

  • Taylor Harvey - [Australia] ❌

  • Tyniesha Hales - [Australia] ❌

  • Yasmin Christian - [Australia] ✅

• NORTH AMERICA

  • Abby Champion - [United States] ✅

  • Anna Louise Austin - [United States] ✅

  • Ari Fournier - [Canada]

  • Capri Alana - [United States] ❌

  • Danielle Fedder - [United States] ❌

  • Elizabeth Wood - [United States] ❌

  • Emma Vanderhoof - [United States] ❌

  • Fatima Cuellar - [El Salvador] ❌

  • Jocelyn Chew - [Canada] ❌

  • Jordan Taylor Stone - [United States] ✅

  • Juliana Herz - [Costa Rica] ✅

  • Kara Del Toro - [United States] ❌

  • Kathryn Watts - [United States]

  • Kyla Shay - [United States] ✅

  • Leidy Amelia Labrador - [Cuba] ✅

  • Mackenzie Gize - [Canada] ✅

  • Mary Wiliamson - [United States] ❌

  • Meeya Dugied - [United States] ✅

  • Mishka Silva - [United States] ❌

  • Olivia Blais – [Canada] ❌

  • Olivia Rodriguez - [United States] ❌

  • Sadie Nelson - [United States] ❌

  • Sarah Waddles - [United States] ❌

  • Shannon McMullen - [United States] ✅

  • Shannon Zhao - [United States] ✅

  • Sienna Schmidt - [United States] ❌

  • Sinclair Slazinski - [United States] ❌

  • Sophie Deming - [United States] ❌

  • Sydnee Haney - [United States] ❌

  • Tara Tornquist - [United States] ✅

  • Tia Hickson - [Canada] ✅

  • Victoria Villezcas - [Mexico]

  • Whitney Thornqvist - [United States] ✅

• SOUTH AMERICA

  • Alexandra Colton - [Peru] ❌

  • Bianca Ruiz - [Brazil] ❌

  • Catarina Mottier - [Argentina] ✅

  • Cindy Mello - [Brazil] ❌

  • Ery Viero - [Brazil] ✅

  • Gabriella Vignoni - [Brazil] ❌

  • Juliana Nalu - [Brazil] ❌

  • Luiza Perote - [Brazil] ✅

  • Maria Luiza - [Brazil] ❌

  • Mariana Nunes - [Brazil] ❌

  • Paula Minetti - [Uruguay] ✅

  • Priscilla Ricart - [Brazil]

  • Rayanne Bitancourt - [Brazil] ✅

  • Sendy Caceres - [Paraguay] ✅