Youth Club Girls Volleyball Team Rankings

2025-2026 Season — Page 45 · 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
2201 TeamLVC 16-Black 1728 21-10 68% 16 NY
2202 K2 13-Stars 1728 25-6 81% 13 TN
2203 MDJRS 17-Elite black 1728 20-20 50% 17 MD
2204 Royal Legends 17-Orange 1728 29-23 56% 17 PA
2205 FRVBC 17-Black 1728 14-4 78% 17 CO
2206 Husky 17-National 1728 34-20 63% 17 CT
2207 Team Pineapple 18-Black 1728 38-16 70% 18 IN
2208 Blue Royals 12 Jewel 1728 43-10 81% 12 WA
2209 Mizuno Northern Lights 12-1 1728 23-8 74% 12 MN
2210 TPV 14-Zulu 1727 30-14 68% 14
2211 ALJRS 15 National 1727 39-11 78% 15
2212 OK Charge 11-National 1727 30-9 75% 11 OK
2213 MADFROG 11-N green 1727 11-3 79% 11 TX
2214 OK Charge 12-Ua 1727 21-10 68% 12 OK
2215 American 14-Red 1727 32-19 63% 14 VA
2216 FC Elite 15-White 1727 29-10 74% 15 WI
2217 EP Elite 15-Smack 1 1727 31-15 67% 15 TX
2218 MADFROG 16-N green 1727 14-8 64% 16 TX
2219 MOVSelect 12-Green 1727 26-3 90% 12 OH
2220 Oak Creek K-Force 13U 1727 33-6 85% 13 WI
2221 NSSC 15 Nike 1727 35-18 64% 15 MO
2222 Paramount VBC 12 Jasmine 1727 19-3 86% 12 VA
2223 SA Empire 12 Legacy 1727 27-7 79% 12 TX
2224 SASVBC G 16 KEVIN 1727 16-4 80% 16 HI
2225 Club 801 16-National jeff 1727 16-20 44% 16 UT
2226 Elite 16-National alex 1727 31-18 63% 16 FL
2227 Elevation 14-Medina 1727 23-20 53% 14 OH
2228 Sideout 13-N carly 1727 28-15 65% 13 NJ
2229 EMV 13-Black mcneider 1727 15-3 83% 13 TX
2230 SERV 17 Select 1727 36-13 73% 17 VA
2231 WF Waves 17-Brandy 1727 31-13 70% 17 FL
2232 OVA 18-Black 1727 33-13 72% 18
2233 K2 18 Jota 1727 19-19 50% 18 TN
2234 VA Juniors 18-1 1727 10-6 63% 18 VA
2235 City Beach 14-Black 1727 21-10 68% 14 CA
2236 DSVC 15-National blue 1727 26-10 72% 15 AL
2237 MVSA 13 Phoenix 1727 36-7 78% 13 MD
2238 Royal Legends 15-Orange 1727 38-11 78% 15 PA
2239 MPV 14-National green 1726 25-17 60% 14
2240 Madfrog MADFROG 15-N white 1726 8-1 89% 15
2241 CANGREJERAS 16-Fs 1726 10-4 71% 16
2242 Ama 212 16-Heat 1726 30-5 86% 16 TX
2243 ENCORE 14-Navy wolfpack 1726 20-11 65% 14 CA
2244 Sanford Fargo 15-Ua 1726 31-11 74% 15 ND
2245 Team Momentum 13-Navy 1726 28-14 67% 13 MO
2246 Tri-State Elite 12-White 1726 27-4 87% 12 OH
2247 COLAVOL 17-Black 1726 19-13 59% 17 AL
2248 MAVS KC 17-National 1726 16-9 64% 17 KS
2249 CI ELITE 18-ALEC 1726 27-2 93% 18 IL
2250 Tulsa Power 18-1 1726 28-7 80% 18 OK
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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.