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The Week 3 Power 10 rankings for DI women's college volleyball brought two notable changes, as reported by NCAA.com: Louisville moved up to No. 3, and Purdue joined the rankings for the first time this season.
NCAA analyst Michella Chester released the updated list on Sept. 14, 2026, capturing the most significant movement in the standings after three weeks of regular-season play.
Louisville's rise to third represents the Cardinals' strongest ranking position of the young season. Purdue's entry is equally notable.
The Boilermakers had not previously appeared in Chester's Power 10 this fall.
Louisville's Ascent Through the Early Season
The Cardinals have built enough momentum through the first three weeks to push past programs that opened the season ranked ahead of them.
Their move to No. 3 signals consistent performance across multiple matches rather than a single standout result. That consistency is hard to fake.
For Purdue's tournament résumé readers tracking the Boilermakers, Chester's rankings now reflect Purdue as a genuine contender worth monitoring alongside the sport's traditional early-season powers.
Purdue Enters the Conversation
Purdue's debut in the Power 10 gives the Boilermakers their first national ranking spotlight of 2026 in this format.
Entry into Chester's list at this stage places them alongside programs that have already established their credentials over three weeks of competition. Chester noticed.
Entry here is not a courtesy, it's an earned position.
Their inclusion means the Big Ten now claims multiple programs in the top rankings, adding depth to a conference already well-represented in the early national picture.
What the Rankings Mean for the Rest of the Field
Chester's Power 10 segment runs approximately two minutes and serves as one of the most-watched weekly benchmarks for DI women's volleyball followers.
Movement this early in the regular season often reflects which rosters have integrated new personnel effectively and which teams are executing their systems cleanly. The gap is starting to show.
Three weeks of results provide enough sample size for meaningful separation between programs.



















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