Youth Club Girls Volleyball Team Rankings

2025-2026 Season — Page 16 · Ranked by Elo rating

Rankings last updated:

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 MADFROG 15-N green with a 2441 Elo rating and 62-9 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
751 Absolute 12-Black 1985 37-11 77% 12 CA
752 OK Charge 17-Ua tulsa 1985 27-15 64% 17 OK
753 ATHENA VB 18-1 gold national 1985 28-20 58% 18 OR
754 305VBC 14-E ruben 1984 42-20 68% 14 FL
755 TXP 16-Black alonso 1984 38-14 72% 16 TX
756 Arete 16-Navy telos 1984 17-3 85% 16 TX
757 PowerPlex 16-Nelson 1984 45-12 79% 16 IA
758 SC Rockstar LOVB 17-Melissa 1984 21-17 55% 17 CA
759 SC Rockstar 12-Tiffany 1984 38-17 69% 12 CA
760 ACAD 16-Red 1984 39-15 72% 16 NY
761 Monon 15-1o fang 1984 37-32 54% 15 IN
762 LOVB 18-Amir 1984 22-7 76% 18 MI
763 Circle City 14-Black 1983 42-22 66% 14 IN
764 Jupiter Elite 15-E 1983 37-23 62% 15 FL
765 CNVKC Mizuno 17-Coach ib 1983 35-9 80% 17 MO
766 Big Sky 15-1 1983 33-20 59% 15 MT
767 Sports Academy VBC 16-Premier 1982 13-19 41% 16
768 Tampa North 14-Black 1982 38-12 76% 14 FL
769 Blue Royals 16-Emerald 1982 48-12 80% 16 WA
770 Jax Skyline 16-Royal 1982 41-31 57% 16 FL
771 EXCEL 15-National red 1982 28-28 49% 15 TX
772 Adversity 17-Prpl adidas 1982 23-18 56% 17 IL
773 Mizuno CNVBC 18-Sammie 1982 34-13 72% 18 MO
774 Alamo 14-Elite 1 1981 45-23 65% 14 TX
775 CUVC 18-Open 1981 42-17 71% 18 NC
776 Elevation 18 Peak 1981 26-11 70% 18 CO
777 WI Juniors 14-1 1980 53-12 82% 14 WI
778 SG Elite 15 Roshambo 1980 30-15 67% 15 CA
779 501 Volley 16-1 national 1980 45-12 79% 16 AR
780 Epic United 13 Elite 1980 26-8 76% 13 IN
781 HJV 17 PREMIER 1980 42-14 75% 17 TX
782 EAVC 17-1 1980 7-8 47% 17 UT
783 KIVA 14-White 1979 40-21 66% 14 KY
784 360 17-Hp elite 1979 38-15 70% 17 TX
785 Next Level 16-1 1979 7-1 88% 16 CA
786 Epic United 16 Elite 1979 35-10 78% 16 IN
787 FaR Out 16 Gold 1979 40-12 77% 16 MI
788 Alliance 16-Molten 1979 44-18 71% 16 TN
789 No Coast 14-Pacific 1978 38-13 75% 14 MO
790 VA Juniors 15-Elite 1978 60-9 87% 15 VA
791 Metro 15 National 1978 41-16 71% 15 DC
792 CVC 15-Black 1978 28-28 50% 15 OH
793 Boltz 16-Desert aces 1978 45-23 66% 16 AZ
794 Club V 17-Prodigy silver 1978 39-21 65% 17 UT
795 UEPA 18-D 1978 47-7 85% 18 TX
796 WAVE 18 Darrell 1978 31-21 60% 18 CA
797 FIELDHOUSE VBC 12-Ikaika marcus 1978 7-1 88% 12
798 SC Rockstar 14-Nicole 1977 27-18 60% 14 CA
799 MKE Sting 13-Black 1977 44-22 67% 13 WI
800 1st Alliance 17-Black 1977 22-10 69% 17 IL
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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.