NCAA Women's Volleyball Power 10 Week 3: Penn State Drops Out, Tennessee and TCU Step In — Reading an Editorial Ranking Written by Human Eyes

September 21, inside a US college gymnasium

On September 21, Penn State — the No. 9 women's indoor volleyball team in the country — lost 3-1 to No. 16 Tennessee. The recap published by Penn State's own athletics communications office pinned the defeat on two words: unforced errors.

That recap contained no set scores. No service-error count. No attacking efficiency. Not a single statistical line for Tennessee. What it contained were three names with a few individual numbers: Gabrielle Nichols, setter, 38 assists and 12 digs — her third double-double of the season. Ava Falduto led the team with 15 digs. Ryla Jones was named without any statline at all.

The number still smolders quietly in the spreadsheet; every season, I blow on it once.

One loss. One diagnostic label. Three individual statlines. And a large gap in the middle. For someone who works with data, that gap is the real protagonist of the story. Because after that loss, Penn State dropped out of the Week 3 Power 10, while Tennessee and TCU both entered. A reshuffle announced on a list of ten names, resting on a match whose set scores we do not know.

That is why I want to stop here, rather than chase the news cycle.

What the Power 10 is, and what it is not

Before discussing who rose and who fell, we need to separate a confusion I see constantly in volleyball discussion groups, including in Vietnam: many readers treat the Power 10 as though it were an official ranking with real authority.

It is not. The NCAA.com Power 10 is an editorial ranking curated by an analyst — in this case Michella Chester — and updated weekly. Its name states its nature: ten teams, chosen by one person, based on what that person observed and judged that week. It is a storytelling device. It is a thermometer for public narrative, not a gateway to power.

NCAA Tournament access and seeding are decided by the selection committee using the RPI along with direct evaluation — not by the Power 10. The tournament field is 64 teams and is played in December, and no editorial ranking casts a vote in that room. To measure a team's real strength, you look at RPI and the AVCA Coaches Poll; the Power 10 only tells you how the story is being told this week.

That does not make the Power 10 meaningless. It simply assigns it the correct weight.

Week 3 of the annual season is the non-conference phase. Teams have not yet entered the grind of conference play, schedules are lighter, sample sizes are thin, and the noise level of every ranking is at its annual peak. During this window, a ranking reflects expectation more than it reflects quality.

And precisely in that noisiest window, a Tennessee win over Penn State was described as a resume-building win. The phrase is accurate from a scheduling standpoint, since non-conference play is when resumes are built. But it is also a fairly large promise placed on a single match.

What the data says, and does not say

When a report supplies statistics from one side only, my first move is to build a comparison table so the gaps become visible.

| Metric | Available value | Peer comparison | Rating | |---|---|---|---| | Attack success rate / efficiency | Not published | — | Cannot assess | | Blocks per set | Not published | — | Cannot assess | | Ace-to-error ratio | Only unforced errors alluded to | — | Cannot assess | | Perfect-pass rate | Not published | — | Cannot assess | | Digs | Nichols 12 (second on team); Falduto 15 (team high) | Internal only | Cannot benchmark externally | | Setter line | 38 assists, 12 digs | Internal | Solid two-way line, no efficiency context |

The structure of the dataset is itself a finding. Every number comes from one side, with no comparison, no set scores, no efficiency metrics. This is narrative-supporting stat selection, not a performance dataset.

I asked myself why a report about a No. 9 team losing to a No. 16 team could not include a single set score. The answer may be ordinary: when the home team loses, a school's communications office tends to tell the story of individual effort rather than the story of the score. There is nothing ethically wrong with that. But it creates a gap that any analyst must remember.

Without set scores, we do not know whether this was a tight match decided at 23-25 in several sets, or a rout. Those two scenarios lead to entirely different conclusions about Tennessee.

And without error counts, we cannot verify the very diagnostic label the report introduced. The number is named but never counted.

A setter with 38 assists and 12 digs

Within that thin dataset, Gabrielle Nichols's line is the most worth discussing, and also the easiest to misread.

A setter recording 38 assists is routine. A setter recording 12 digs and finishing second on the team in defensive volume is not. At the setter position, players are rarely the team dig leader, because their primary duties sit at the net and in distribution rhythm. When a setter lands in the top two in digs, there are two explanations, and they tell opposite stories.

Explanation one: Penn State's defensive system is working so well that balls are being funneled to the right places, and the setter is simply the sensible cleanup option on deflected balls. That is the signature of an organized team.

Explanation two: the ball is coming back into Penn State's court too often. In volleyball, high dig volume tends to accompany long rallies, and long rallies tend to appear when a team cannot terminate on the first attacking tempo. If Penn State dug a lot and still lost 3-1, the likely reading is that they won the defensive phase and lost the conversion phase.

High dig volume in a loss is not evidence of back-court weakness; it is more often evidence of a bottleneck in transition conversion.

I cannot confirm this from the available source. But the data structure leans that way.

What is also notable is that this was Nichols's third double-double of the season — three in the first three weeks. This is the only multi-match trend signal in the entire article. A setter repeatedly posting double-doubles is a genuine two-way link in the system, which means the team depends on one player at the most structurally important position.

That dependency is not yet a risk. It is a watch item.

15 digs and the cost of long rallies

Ava Falduto led the team with 15 digs. Combined with Nichols's 12, those two players produced 27 digs. In a four-set loss, that is a considerable defensive load.

Here I want to raise something rarely mentioned: high defensive volume is a neutral indicator. It is not automatically a sign of quality. It only means the ball stayed alive. A team that digs a lot may be fighting well, or may be repeatedly stretched by an opponent generating difficult attacks.

Separating those possibilities requires perfect-pass rate and post-transition attack efficiency. Neither is present in the source.

This is where I learned a lesson from the Vietnamese volleyball market. In recent years, as domestic leagues have published more statistics, fans have developed a habit of judging liberos by dig counts. High dig totals get celebrated. But placed next to nothing else, that number is as meaningless as a trophy with no ceremony date.

I once spent an entire season at home, in 2026, when gyms closed and Hoa Xuan fell silent. I had no new data, only old data and time. The only way to make old data useful was to place it in its correct context. Since then, whenever I see a number standing alone, I ask who it is standing next to.

Ryla Jones and the gap that was not filled

Ryla Jones is named in the article as an important name, but no statline accompanies her. She is an outside hitter.

In any report, an outside hitter with no numbers usually means one of two things: she was inconsequential, or the writer chose not to publish. Given the outside hitter position — usually attacking and receiving — the absence of data at the position carrying the heaviest match responsibilities is a storytelling gap, not an accidental one.

If the outside hitter of a No. 9 team had posted good efficiency in a loss, that number would appear. When it does not appear, the reader should take note, not in order to conclude, but in order to know what is missing.

A structural reshuffle

At the same moment Penn State left the Power 10, both TCU and Tennessee entered the top 10 in Week 3.

Two teams entering at once matters more than it appears: it shows Week 3 is not a single anomaly but a broader expected rearrangement of the hierarchy.

The article mentions additional movement beyond these three names without enumerating it. That is a familiar device: holding information to funnel readers to companion coverage. Analytically, it means we are looking at part of the map, not the whole map.

For Penn State, this was the season's first loss to a ranked opponent and the program's first absence from the Power 10 this year. To be clear: absence from an editorial ranking is a perception event, not a performance event. But it still means the program had been present long enough for its departure to become news.

The real scar is in the RPI

If the September 21 loss leaves a mark anywhere, it is in the RPI — the schedule-strength metric used by the selection committee.

Early non-conference losses carry more weight than people assume. The season is in Week 3, and every result is being written into a record during the phase with the fewest opportunities to correct it. By December, the selection committee will not be looking at the Power 10; it will be looking at numbers that hardened in September.

Based on my experience tracking matches and ranking cycles, this is the biggest divergence between fan perception and selection reality. Fans live week to week. The committee lives season to season. A shocking September loss may vanish from fan memory by November, but it stays in the spreadsheet.

For Tennessee, the value runs the other way. A win over a No. 9 team, even a single match, is a real resume asset. It does not need to be pretty. It only needs to exist.

One win does not buy a tier

This is where I want to question the article's own framing: Tennessee is described as having moved inside the sport's top tier.

One match does not do that.

Single-match tier promotions have a clear history in college sports: they are usually reversed once conference play begins and true competitive levels surface. This holds across every sport with a weekly ranking, from basketball to volleyball. The non-conference phase manufactures temporary stars; the conference phase restores order.

The issue is not that Tennessee is undeserving. The issue is that we lack the data to answer the question, and answering early is a way of fooling ourselves.

Equally, reading Penn State's departure as decline reads too far. This is a volleyball program with depth, leaving an editorial ranking after a loss its own recap attributed to self-inflicted errors. One stumble is not a trend.

The only certain statement is this: in Week 3, the story changed direction. The story is not the quality.

Editorial rankings and the illusion of collapse

There is a paradox in how we consume rankings like this.

The Power 10 is designed to move. It is a list of ten names chosen weekly by an analyst, so every result can push a team in or out. That volatility is not a system flaw; it is the system's function. But when readers receive it as a verdict, that volatility becomes a series of artificial shocks.

The truth is that RPI and the AVCA poll move far more slowly. They accumulate across matches and weeks and rarely jump on a single result. If you want to know where a team truly stands, look at those two. If you want to know what people are saying this week, look at the Power 10.

I keep a small hermitage where volleyball and data bow to each other. In that hermitage, an editorial ranking is never given incense as though it were an official ranking.

Signals to track in the coming weeks

| Signal | How to observe | Trigger condition | Expected impact | |---|---|---|---| | Week 4 and 5 Power 10 movement | NCAA.com weekly updates | Tennessee and TCU hold or drop out | Validates or reverses the tier claim | | Penn State results in conference play | AVCA poll, RPI | Re-entry to the top 10 | Confirms the loss was a blip | | Tennessee against conference opponents | Full box scores | Sustained efficiency against ranked teams | Confirms or denies the new status | | Set scores from September 21 | Full box score | Margin between sets | Recalibrates the size of the upset | | Gap between editorial and official rankings | Compare Power 10 with AVCA and RPI | Clear divergence between the two | Reveals the perception-reality gap |

The first three signals are ones I will count myself. The last two are ones I will try to compensate for with raw data, because we are missing them right now.

What I want to stress is that none of these signals concerns Week 3 again. Week 3 is finished. Its value is now only the value of a comparison point.

A closing note

Volleyball is where numbers go to sleep and stories begin to wake. But a story is only trustworthy once the numbers have been counted fully.

We have a No. 9 team losing to a No. 16 team, an editorial ranking reshuffled, two teams entering, one leaving, three individual statlines, and a gap exactly where it matters most: set scores, error counts, attacking efficiency, and Tennessee's entire statistical profile.

The question I carry out of this week is not whether Tennessee belongs in the top 10. The question is: if the Power 10 reverses these exact positions next week, what in our analysis will still stand?

My data leans toward a modest answer: very little. Most of what we just read is the echo of one week, not the shape of a season. And a season, as always, still has many months left to tell us all otherwise.