SMU Topples Pitt: The 12.5-6 Block Edge and a 38-36 Set Expose the No. 2 Team's Structural Hole

I have followed NCAA Division I women's volleyball across many seasons, and my principle has not changed: I do not look for value where the spotlight shines, but where people forget to plug in the power. Last Wednesday in Pittsburgh, the spotlight was on the 38-36 scoreline of the third set. I, meanwhile, looked at the block column.

SMU — ranked No. 6 — defeated Pitt — ranked No. 2 — in four sets, ending the host team's 58-match home winning streak. It was one of the most shocking results of this year's US collegiate women's volleyball season. But to me, this is not a story about a shock. It is a story about structure, and about how a system beats a star.

Context: two opposing models

Pitt entered the match unbeaten, ranked No. 2 nationally, carrying a 58-match home winning streak. They are a team built around pin-attack power, with Olivia Babcock — the program record holder in both career kills and career aces — as the spearhead. Pitt's model is the star model: feed the best player, and let her decide the outcome.

SMU is the opposite. They joined the ACC in 2026, are on the rise, and entered the match on a 14-match ACC winning streak — the longest active in the conference. Before Pitt, they had beaten three top-10 teams: No. 3, No. 8 and No. 9. This is not a passing phenomenon, but a trajectory. After this match, SMU improved to 5-0 in ACC play, while Pitt suffered its first ACC loss, falling to 4-1.

The difference in models, by the end of the match, was exactly what decided it.

Analysis: the block and the distribution

The first metric I noted was the block: SMU won it 12.5-6. In collegiate volleyball, blocks are counted under the half-point convention for double blocks, so the 12.5 is not a typo — it reflects the number of blocks SMU generated. More notable is that this was SMU's third consecutive match with at least 12 blocks. A number repeated across three matches is not luck; it is a system.

But the block is only half the story. The other half lies in the hitting efficiency of the middle attack. SMU's middle blockers recorded 27 kills on 47 swings, for a .447 hitting percentage — an excellent figure for a middle group in a four-set match. Natalia Newsome recorded 17 kills at .519, the highest of her career. Jadyn Livings added 13 kills at .435, her best of the season. Favor Anyanwu added 10 kills and 9 blocks, narrowly missing a double-double.

The core insight I drew: SMU won because they did not depend on any one player. Five of their players reached double-digit kills. That is a distributed, hard-to-read, extremely hard-to-block offense. When a team has five attackers all reaching double figures, the opposing block cannot concentrate its resources on one point — and that is exactly what SMU exploited. Suli Davis, a sophomore outside hitter, recorded 17 kills along with 9 digs and 4 blocks — her 14th double-digit kill match of the season. A team whose young player carries such steady output is a team with depth.

On the other side of the net, the picture is entirely reversed. Babcock recorded 25 kills — an impressive individual figure, but set against Pitt losing the block battle 6-12.5, it becomes a sign of dependency. Twenty-five kills, in a four-set match, account for nearly half of a typical team's attack output. When every ball funnels to one player, the opposing block only needs to read one direction.

The third set, stretching to 38-36, is the clearest proof of SMU's structural strength. A set that long means both teams held their side-out under pressure. It was not decided by a collapse, but by execution at the decisive points — and by roster depth. The longer a set runs, the more it favors the team with more attacking options. The win-by-two, no-cap rule turned the third set into a test of endurance and nerve.

One cannot overlook the role of libero Victoria Harris either: 20 digs and 4 aces. In volleyball, liberos are usually mentioned for their defense, but 4 aces from the libero position is an underrated dual contribution — holding the floor while also applying serve pressure on the opponent's reception system.

The contrarian angle: correlation is not causation

This is where I must be most careful, because it is also where many data readers go wrong.

Babcock scored 25 kills. That number, read hastily, would make one think Pitt attacked efficiently and lost only through bad luck. But points do not indicate efficiency. To score 25 kills, Babcock may have had to take an enormous volume of swings — and if so, her true efficiency could sit below average relative to her own standard. The data source I have does not provide Babcock's swing count, so I leave this conclusion open. A beautiful number can be a product of volume, not quality.

The same applies to the "career-high" label for Newsome and the "season-best" for Livings. They are peaks of a single match, not a trend of the whole season. I repeat the lesson I once paid for: clean data does not mean a clean reality. If there is only one match, we have one data point; and one data point does not make a trend line.

The only thing with cross-match support is the block streak: three consecutive matches with at least 12 blocks. That is the trustworthy thing to say about SMU. And I must also self-critique: a win over the No. 2 team is strong evidence, but it does not erase the question of how long SMU can sustain this form as the season enters its stretch run.

And there is a question no one asks: why did Pitt lose a home match after 58 straight without a loss? Head coach Dan Fisher's post-match reaction opens something worth thinking about. He said the team "needed to experience those emotions" — it sounds as if his team had been winning without ever being tested. Babcock also admitted the team "had not yet met a high standard in matches." This is a management signal: when a team has never been pushed into difficulty, it will not know how to respond when it is genuinely pushed.

The bigger picture

Placing this result in a broader context reveals something interesting. Nebraska remains the only undefeated team, at No. 1. That Pitt — the No. 2 team — fell to the No. 6 team shows the top of US collegiate women's volleyball is crowded and volatile. A No. 2 team can lose to a No. 6 team on any given night. For teams like SMU, that is opportunity; for teams like Pitt, it is a warning that no position is safe.

For SMU, this win also has value off the court: it is a recruiting asset. A program that just joined the ACC and can beat the No. 2 team in the country will attract young talent wanting to compete at the highest level. In the long run, wins like this reshape the standing of an entire program.

Next-round signals

The rematch takes place just four days later, on Sunday, and airs on ESPN — a sign that the commercial value of this matchup has surged after the recent result. For both teams, this is an almost immediate chess match: Pitt has four days to adjust its Babcock-dependent math, while SMU has four days to prepare for a different face of its opponent.

What I will track in the rematch is not the score. I will track whether SMU's block column holds at 12, and whether Pitt distributes the ball to a second attacker. If Pitt still funnels balls in one direction, the story repeats. If they open it up, the 58-match streak may just be a chapter that has closed, not a crisis.

At 45, I know the market is always wrong, but wrong in ways that can be anticipated. After Wednesday night, what I believe is not that SMU beat Pitt, but that a distributed system just proved it can beat a star. The only question left is: how long before the rest of the league realizes it?