Youth Club Girls Volleyball Team Rankings

2025-2026 Season — Page 105 · 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
5201 SVBC 18-Elite 1643 24-8 75% 18 OH
5202 ENVY 16-Blizzard 1643 32-8 80% 16 NE
5203 Preds 16-Girls havoc 1643 9-0 100% 16 ON
5204 Iowa United 16-Elite timmerman 1643 6-0 100% 16 IA
5205 CTX Juniors 13-Mizuno 1643 17-12 59% 13 TX
5206 Blue Heat 13 Elite 1643 14-4 78% 13 MO
5207 Blue Ridge 15-Orange 1643 13-8 62% 15 VA
5208 Sky High Adidas 15-Onyx 1643 15-11 58% 15 IL
5209 MVVC G 12-Pink 1643 20-3 87% 12 CA
5210 FL Conquer 12 State 1643 24-9 73% 12 FL
5211 Northeast 14-2 1643 28-12 70% 14 CT
5212 SF Elite 14-Salazar 1643 11-6 65% 14 CA
5213 WVBA 14 Molten 1643 25-20 56% 14 WA
5214 ESVBC 13-Stingray 1643 11-1 92% 13 MD
5215 STL Crossfire 18-St1 1643 26-10 70% 18 MO
5216 Elevate 18-Raging rhinos 1643 35-13 73% 18 WI
5217 Tri-State Elite 16-Gray 1643 28-8 78% 16 OH
5218 Blast 16-Tigers 1643 22-17 56% 16 RI
5219 CJHEAT 13-1 1643 15-3 83% 13 NJ
5220 Sky High Adidas 13 Elite 1643 10-18 36% 13 IL
5221 Lex United 16-Black 1643 33-12 73% 16 KY
5222 Madtown 16-2 national 1643 23-21 52% 16 WI
5223 Clarksville VBC 16 Liz 1643 27-15 63% 16 TN
5224 ID Crush 16-Jordan 1643 34-20 63% 16 ID
5225 PCVC 16-Ansley 1643 18-9 67% 16 BC
5226 MJVA 15-2 1643 12-4 75% 15 TN
5227 EXCEL 15-National blue 1643 11-5 69% 15 TX
5228 VIPERS 15 ELITE 1643 27-13 68% 15 FL
5229 Premier Nebraska 12-Silver 1643 20-9 69% 12 NE
5230 Texas Storm 11-Black 1643 18-4 75% 11 TX
5231 Areté 14-Navy ethos 1643 8-5 62% 14 TX
5232 GSJ 14 National 1643 22-12 65% 14 SC
5233 Spiketown 14-1 national 1643 22-13 63% 14 WI
5234 LVC 14-Pink 1643 17-3 77% 14 NY
5235 PJVBC 14 Elite 1643 24-12 67% 14 WA
5236 1W 14-1 elite 1643 27-17 61% 14 WI
5237 DBQ Insanity 14-2n black 1643 30-13 70% 14 IA
5238 Austin Skyline 14-Black 1643 23-19 55% 14 TX
5239 BRUSA 11-Ana 1643 18-9 67% 11 CA
5240 Big Sky 17-1 westside 1643 16-5 67% 17 MT
5241 603 United 17-Seacoast white 1643 27-15 64% 17 NH
5242 IA Juniors 17-Black 1643 26-15 63% 17 IA
5243 Warren Sixpack 17-red 1643 18-14 56% 17 NJ
5244 Alabama Perf 17-N red 1643 12-22 35% 17 AL
5245 Peak VA 14-Black 1643 13-3 81% 14 TX
5246 SEVA 14 Crimson 1643 31-9 78% 14 TN
5247 Tyrants 14-Black 1643 15-6 71% 14 CA
5248 808AC 14-Sheri 1642 11-6 65% 14
5249 South Elite 15-Pipe 1642 6-2 75% 15
5250 LI Legacy VBC 15-White 1642 26-9 74% 15
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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.