Youth Club Girls Volleyball Team Rankings

2025-2026 Season — Page 60 · 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
2951 Mizuno Northern Lights 16-1 1700 15-6 71% 16 MN
2952 Arete 16-Navy telos 1700 6-2 75% 16 TX
2953 New WaveS 16-Franky 1700 13-1 93% 16 FL
2954 Spiketown USA 16.3 1700 31-4 89% 16 WI
2955 Excel 15-National gold 1700 22-4 85% 15 TX
2956 MEVC 15-Black 1700 29-6 83% 15 MD
2957 ProPlay 15 Gracee 1700 23-13 64% 15 CA
2958 SA Juniors 15-National 1700 27-16 63% 15 TX
2959 South County 15-Malia 1700 14-10 58% 15 RI
2960 Madtown 15-1 national 1700 19-22 46% 15 WI
2961 ARIZONA STORM 12-Lightning 1700 29-11 73% 12 AZ
2962 KC Power 12-1 1700 27-15 64% 12 KS
2963 CMASS EDGE 17-Blue 1700 31-21 60% 17 MA
2964 Idaho ONE 13-Blue 1700 37-11 77% 13 ID
2965 Rev 13-1 storm 1700 32-19 63% 13 IN
2966 Valley Flames 11-Black 1700 20-4 83% 11 TX
2967 ID Crush TF 12-Lacey 1700 12-3 75% 12
2968 Red Storm 14 National 1700 30-17 64% 14 LA
2969 Circle City 14-White 1700 33-16 67% 14 IN
2970 AZ SKY 14-Blue 1700 27-23 54% 14 AZ
2971 Wisconsin Blaze 14-Black 1700 26-6 81% 14 WI
2972 Dime 14-Premier 1700 27-9 75% 14 CA
2973 Mizuno Northern Lights 14-1 1700 15-6 71% 14 MN
2974 RRHVBC 18-1 annie 1700 11-4 73% 18
2975 ARVC 13-Black 1700 25-4 86% 13 NM
2976 SI Wave 14-Black 1700 27-3 87% 14 IL
2977 SMASH 14-S fire 1700 22-13 63% 14 MA
2978 DACAN 16-2 fury 1699 11-3 79% 16
2979 SNVF 16 KALA 1699 31-23 57% 16
2980 VCN 16-Elite 1699 8-1 89% 16 NE
2981 GRIT 18-Premier 1699 31-9 78% 18 AL
2982 SMASH 18 1699 16-8 67% 18 MA
2983 IMGA Ascender Elite 16-1 1699 22-16 58% 16 FL
2984 A5 Calhoun 15-Red 1699 36-13 73% 15 GA
2985 Roadrunner 15 Crimson 1699 30-15 67% 15 GA
2986 SF TREMORS 15-Wolverines 1699 29-16 64% 15 CA
2987 Arete 15-Navy telos 1699 8-7 53% 15 TX
2988 Boss CLE 12-1 1699 28-15 65% 12 OH
2989 Colorado Juniors 12-Mal 1699 16-5 76% 12 CO
2990 South Shore Slam 17-Nat 1699 21-7 75% 17 WI
2991 Dead Frog 17-Black 1699 17-9 65% 17 MI
2992 SPORTING EDGE 17-Armour 1699 20-7 74% 17 TX
2993 NEVA 13-Blue kalani 1699 18-3 86% 13 UT
2994 Next Level 13-1 josue 1699 16-10 62% 13 CA
2995 Augusta 4:12 12-Botkin 1699 25-2 93% 12
2996 Paramount VBC 14 Kelly 1699 16-8 67% 14 VA
2997 MN North 14-1 navy 1699 41-16 72% 14 MN
2998 SC Legends 11-Elite 1699 25-7 78% 11 CA
2999 Oak Creek K-Force 14 1699 32-8 78% 14 WI
3000 United VBA 14-Black 1699 34-8 81% 14 TX
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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.