Youth Club Girls Volleyball Team Rankings

2025-2026 Season — Page 89 · Ranked by Elo rating

The VolleyLens Youth Club Girls Volleyball Rankings track over 4,000 girls volleyball teams across all 50 states using an Elo rating system updated after every match. Data is aggregated from multiple tournament sources including USAV, AAU/JVA, and regional qualifiers. The current #1 ranked team is TAV 16-Black yun with a 2270 Elo rating and 48-6 record. Rankings reflect the 2025-2026 season and are based on over 500,000 tracked matches.

Youth Club Volleyball Power Rankings
Comprehensive girls youth club volleyball rankings using advanced Elo rating system. Track team performance, win percentages, and match statistics.
Club Volleyball Standings
Real-time volleyball club standings and power rankings for competitive youth volleyball. Compare team strengths and discover top-performing clubs.
Volleyball Analytics & Statistics
Advanced volleyball analytics including Elo ratings, match history, and performance metrics. The ultimate resource for girls volleyball rankings.
#TeamEloRecordWin%AgeState
4401 South Coast 16-1 1659 20-5 80% 16
4402 Synergy 16-Riptide 1659 27-17 61% 16 CA
4403 BAVC 18-National sal 1659 18-7 72% 18 CA
4404 MATRIX 18 Elite 1659 25-8 76% 18 CA
4405 Club V 18-Prodigy kolton 1659 25-29 46% 18 UT
4406 Coqui Coast 16 1659 21-7 75% 16 MS
4407 757 16-Black 1659 27-14 66% 16 VA
4408 Idaho ONE 16-Blue 1659 29-18 62% 16 ID
4409 Utah Mojo 16-National 1659 31-14 65% 16 UT
4410 Mid-Michigan ACES 16 Natalie 1659 16-1 94% 16 MI
4411 Mana Toa 16-Carrie 1659 21-5 81% 16 AL
4412 Synergy 16-Inferno 1659 21-28 43% 16 CA
4413 NLVC 16-National 1659 19-9 68% 16 NJ
4414 LevelOne Albany 16-1 1659 27-14 66% 16 OR
4415 Silver Hammers VBC 16-1 1659 26-14 65% 16 NJ
4416 KW Revolution 16-Elite 1659 25-20 56% 16 TX
4417 Set It Off 15-1 1659 14-1 93% 15 IA
4418 Hunter's 15U Black 1659 36-11 77% 15 FL
4419 Cincy Crush 15-1 1659 28-10 74% 15 OH
4420 757 15-Black 1659 26-10 72% 15 VA
4421 APVA 15 Capybara 1659 25-13 66% 15 TN
4422 CTX Juniors 15-Mizuno 1659 19-16 54% 15 TX
4423 LEVBC 15-National 1659 31-25 53% 15 MD
4424 ROX 13 1659 24-5 83% 13
4425 Black Hills 17-Black 1659 18-2 90% 17 SD
4426 Kairos 17 Delta 1659 34-11 76% 17 SD
4427 ID CRUSH 17-Bower 1659 6-1 86% 17 ID
4428 Texas One 17-Royal 1659 25-11 69% 17 TX
4429 FaR Out 13-Red 1659 19-5 79% 13 MI
4430 CINCY EAST 13-1 black 1659 28-10 74% 13 OH
4431 Galaxy 13 Ashley 1659 20-5 80% 13 NC
4432 TXP 13-Black ashley 1659 28-13 67% 13 TX
4433 CVVC 11-1 1659 21-0 88% 11 MT
4434 AVA 10-Molly 1659 24-3 89% 10 FL
4435 SoCal VBC 14-Beacons 1659 16-15 52% 14 CA
4436 A5 Chattanooga 14-1 1659 22-16 58% 14 TN
4437 Invicta 12-Lanie/ashton 1659 19-5 79% 12
4438 Shockwave 18 1659 13-0 100% 18 KS
4439 Sky High Adidas 18 Elite 1659 18-19 49% 18 IL
4440 NYCLBVC 12-Blue 1659 23-13 64% 12 NY
4441 Brownsville Dynamite 13-1 1659 20-4 83% 13 TX
4442 Wisconsin Ice 13 National 1659 25-9 74% 13 WI
4443 Tulsa Power 13-2 1659 32-11 73% 13 OK
4444 Carolina Rogue 13-Black 1659 20-11 65% 13 SC
4445 1st Alliance 17 Crimson 1659 19-9 68% 17 IL
4446 FCA Force 17-1 laney 1659 21-12 64% 17 NC
4447 Club V 17-Prodigy megan 1659 22-15 59% 17 UT
4448 FVA 17-Blaze - a 1659 13-7 59% 17 AK
4449 Monon 17-1o tornados 1659 24-30 44% 17 IN
4450 Colorado Springs Alt CSA 14-Navy 1659 18-5 78% 14 CO
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Ranking Methodology

Elo Rating System

All teams start with a base rating of 1500 points. Ratings increase when teams win and decrease when they lose. The amount of change depends on the relative strength of the opponents — beating a stronger team gives more points than beating a weaker team.

Rating Calculation

New Rating = Old Rating + K × (Actual Score - Expected Score). K-factor: 32. Actual Score: 1 for win, 0.5 for tie, 0 for loss. Expected Score is calculated based on rating difference. The system processes all matches chronologically to ensure accurate historical progression.

Team Data Aggregation

Tracks each team across all their participations. Uses the highest Elo rating achieved for ranking. Aggregates all matches played for win/loss statistics. Applies filters to show relevant divisions and gender categories.