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season · Updated 2026-09-05

Historical Stats — Teaching Hub

HISTORICAL teaching layer — completed prior seasons only. The live Fall 2026 Daily Desk stays on CURRENT_SEASON_2026. Never treat these tables as today’s in-season rankings.

This hub teaches how to read multi-year women’s college volleyball stats: what hit% means, why sample size matters, and how to compare Fall 2024 with Fall 2025 without mixing eras with the live desk.

Statistical analysis only — educational / scouting framing. No gambling, odds, or market boards.

Years available

Counts (all D1 in source CSVs): 10957 player-seasons · 694 team-seasons across 2 year(s).

Source: ncaavolleyballr public data CSVs (Division I women’s volleyball season totals). Local copies live under data/raw/historical/.

Season labels (truth first)

Label you will see Meaning Is it the live desk?
Fall 2026 / CURRENT_SEASON_2026 In-progress season on the Daily Desk Yes
Fall 2025 (academic 2025–2026) Completed championship year ending Dec 2025 No — historical
Fall 2024 (academic 2024–2025) Completed championship year ending Dec 2024 No — historical

CSV files named wvb_*_YYYY.csv use the championship / fall year YYYY. The Season column inside often reads YYYY-(YYYY+1) (academic year). We always print the Fall YYYY label on the page so readers are not confused.

What hit% means (and across seasons)

Hitting percentage = (Kills − Errors) / Total Attacks.

Sample size rules we use on year pages

Leaderboard Floor used here
Rate stats (K/S, Hit%) ≥ 50 sets
Hit% leaders Also ≥ 100 attacks
Counting totals (kills, digs, aces, blocks, assists) No set floor (full-season volume)

Why: rate leaders without a set/attack floor reward tiny samples. Full-season CSVs usually clear these floors for rotation players; we still print the rule so readers learn the habit.

How to compare seasons

  1. Same grain — full season vs full season, or early season vs early season.
  2. Label the year on every claim (“Fall 2025 Nebraska hit 0.351” — not “Nebraska hits .351”).
  3. Context — conference realignment, portal turnover, and schedule strength change year to year; hit% is not a pure talent thermometer.
  4. Keep desks separate — historical guides teach completed years; the Daily Desk tracks Fall 2026 only.

Tracked programs — team hit% by completed season

Starter universe from scripts/tracked_teams.py. Values are real CSV season totals.

Team Fall 2024 Hit% Fall 2025 Hit%
Creighton 0.324 0.288
Florida 0.293 0.235
Kansas 0.283 0.235
Kentucky 0.271 0.289
Louisville 0.270 0.270
Minnesota 0.242 0.283
Nebraska 0.284 0.351
Penn State 0.283 0.250
Pittsburgh 0.332 0.312
Purdue 0.280 0.290
SMU 0.267 0.315
Stanford 0.314 0.299
Texas 0.282 0.315
Texas A&M 0.255 0.297
UCLA 0.247 0.224
USC 0.238 0.259
Wisconsin 0.286 0.327

Open a year page for national leaders and full tracked snapshots.

Related

Methodology

  1. Ingest: python3 scripts/ingest_historical.py (optional --download to refresh CSVs from the public data page).
  2. Outputs: data/processed/historical_*.json plus these Markdown guides.
  3. Build: python3 scripts/build.py.
  4. We do not invent stats. Missing years or teams stay blank / omitted.
  5. stats.ncaa.org live scrapes are not required for this layer when public CSVs exist.

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