Youth Club Girls Volleyball Team Rankings

2025-2026 Season — Page 203 · 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 Legacy 15-1 adidas with a 2322 Elo rating and 49-5 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
10101 NorCal 15-2 blue 1577 19-20 49% 15 CA
10102 FL Conquer 16 National 1577 6-0 100% 16 FL
10103 SUSA 16-Navy 1577 5-2 71% 16 UT
10104 Rockwood Thunder 16-Black 1577 35-23 57% 16 MO
10105 BVC 16-Faline and mack 1577 16-5 76% 16 VA
10106 Tstreet 16-Savannah 1577 7-3 70% 16 NV
10107 High Tide 16-Elite 1577 24-31 44% 16 FL
10108 Florida Conquer 16-National 1577 29-16 64% 16 FL
10109 Austin Skyline 16-B kilee 1577 19-23 45% 16 TX
10110 Golden State 13-Black 1577 7-4 64% 13 CA
10111 Prime 13 adidas 1577 15-15 50% 13 CA
10112 Iowa PowerPlex 17-Brogean 1577 5-0 100% 17 IA
10113 CI ELITE 17-RED 1577 22-24 48% 17 IL
10114 Idaho LUV 17-Peyton 1577 9-14 39% 17 ID
10115 MVA 17 Isa 1577 31-24 56% 17 FL
10116 Rise 17-1 1577 23-18 56% 17 CA
10117 RockCity 17 N2 1577 33-18 65% 17 OH
10118 PO1NT 17-1 national 1577 22-13 63% 17 PA
10119 RockwoodThunder 17-Carolina 1577 24-18 57% 17 MO
10120 Millennium 12-Hixon 1577 17-11 61% 12 OH
10121 Next Level 12-1 1577 6-3 67% 12 CA
10122 Premier 12-3 black 1577 16-8 57% 12 OH
10123 Iowa Select 12-Black 1577 17-8 68% 12 IA
10124 Turlock Crush 12-Rosanna 1577 15-8 65% 12 CA
10125 Rice City 12-Red 1577 16-11 57% 12 LA
10126 Pipeline 12-Adidas 1577 16-14 53% 12 CA
10127 Texas Tornados 12-Adidas 1577 15-9 63% 12 TX
10128 Ho'okino 12-Puko'a 1577 6-0 100% 12 HI
10129 1United 12-Elite blue 1577 9-6 60% 12 TX
10130 Houston Force 12-Jedi 1577 10-4 71% 12 TX
10131 FRVBC 12-1 black 1577 14-9 61% 12 CO
10132 American 11 1577 18-12 58% 11 VA
10133 Club Four 11-Boost 1577 17-6 68% 11 IL
10134 NASA 11-1 1577 11-4 73% 11 AL
10135 OK Charge 11-Ua tulsa 1577 18-13 58% 11 OK
10136 SG Elite 13 Excel 1577 15-8 65% 13 CA
10137 TLVC 17-1 1577 5-9 36% 17
10138 ZTV 14-5 black 1577 19-5 68% 14 MT
10139 Pulse 14-Black 1577 15-8 65% 14 CA
10140 Riptide 14-Tsunami 1577 22-13 63% 14 FL
10141 Dime 14-Surf 1577 22-14 61% 14 CA
10142 IMUA UVC 14-Ua 1577 13-10 57% 14 CA
10143 Rockwood Thunder 14-White 1577 27-24 51% 14 MO
10144 AAVA 14-1 storm 1577 22-23 49% 14 OR
10145 CTX Juniors 14-Mizuno 1577 12-16 43% 14 TX
10146 Fierce 18 1577 5-0 100% 18
10147 LOSO 18-1 abby 1577 5-1 83% 18
10148 K2 18-Elite boys 1577 5-0 100% 18 TN
10149 Shockwave VBC 18 1577 6-1 86% 18 KS
10150 Vortex 18-S - joe 1577 4-1 80% 18 UT
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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.