season · Updated 2026-10-18

Daily Desk

Women's volleyball in play, the mark for the morning read.

The numbers are the story.

This is Fall 2026, read before the takes.

Early rates are provisional. Treat them that way.

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Fall 2026 · Through games Thursday, October 15, 2026

Fall 2026 / CURRENT SEASON — live ncaa.com D1 women’s volleyball stats Through games Thursday, October 15, 2026. Freshness: 2026-10-18 07:56 CT · 2026-10-18T12:56:36Z UTC · desk date 2026-10-18. Early-season small samples — treat rates as provisional.

Universe in this file: 343 teams · 1315 players · Source: ncaa.com · Mode: CURRENT_SEASON_2026

Categories ingested: 15 individual · 15 team

Sidearm roster expansion: ok = Pittsburgh, Louisville, Creighton, Florida, USC, SMU. JS-walled / empty = Nebraska, Wisconsin, Penn State, Texas, Stanford, Minnesota, Kansas, UCLA, Purdue, Texas A&M.

Coverage: National leaderboards include NCAA.com qualified leaders only (not every D1 player). Sidearm full-roster HTML available for: Pittsburgh, Louisville, Creighton, Florida, USC, SMU. JS-walled / empty: Nebraska, Wisconsin, Penn State, Texas, Stanford, Minnesota, Kansas, UCLA, Purdue, Texas A&M.

National kill leaders (2026)

Player	Team	Kills	Sets	K/S	Hit%	Kill%	Err%
Allie Sweet	UNC Greensboro	344	70	4.91	0.224	0.368	0.145
Kalista Lukovich	Eastern Wash.	329	75	4.39	0.218	0.329	0.111
Riley Rosneck	Purdue Fort Wayne	311	75	4.15	0.261	0.364	0.103
Sylvie Zgonc	South Dakota St.	310	66	4.70	0.286	0.422	0.136
Kennedy Louisell	James Madison	309	66	4.68	0.292	0.413	0.120
Mallory Reck	Marist	309	80	3.86	0.222	0.367	0.145
Jurnee Robinson	LSU	298	60	4.97	0.238	0.402	0.165
Victoria Marthaler	Sacramento St.	297	73	4.07	0.192	0.363	0.171
Kiera Hamilton	George Mason	294	64	4.59	0.214	0.398	0.184
Carola Tesoro	St. John’s (NY)	289	71	4.07	0.262	0.431	0.168

Kill% = K/TA · Err% = E/TA · Hit% = (K−E)/TA. Computed from ncaa.com counting stats — not Evollve RAPM / not sideout%.

Points leaders (PTS / PTS per set)

NCAA counting points ≈ K + SA + BS + ½ BA. Rows marked ≈ use that approximation when official PTS was missing from a leaderboard merge.

Player	Team	Pos	PTS	Sets	PTS/S	Note
Olivia Babcock	Pittsburgh	RS	345.5	55	6.29	ncaa.com
Taylor Stanley	Kansas	OH	309.5	54	5.73	ncaa.com
Mckenna Wucherer	Minnesota	OH	283.0	50	5.66	ncaa.com
Allie Sweet	UNC Greensboro	OH	394.5	70	5.64	ncaa.com
Jurnee Robinson	LSU	OH	335.0	60	5.58	ncaa.com
Kennedy Louisell	James Madison	OH	367.5	66	5.57	ncaa.com
Bianna Muoneke	Georgia	OH	321.0	59	5.44	ncaa.com
Kennedi Rogers	Tennessee	OH	218.0	42	5.19	≈ approx
Ksenia Rakhmanchik	Baylor	OH	284.0	55	5.16	ncaa.com
Sylvie Zgonc	South Dakota St.	OH	340.0	66	5.15	ncaa.com

Overnight movers

No prior CURRENT_SEASON_2026 snapshot to diff yet — movers appear after the next successful live ingest.

Form notes (tracked teams with 2026 data)

Voice: sideout / transition / serve-receive pressure — only from Fall 2026 counting stats in this snapshot. Early-season caveat applies.

Nebraska

Attack efficiency sits at 0.328 team hit — early-season termination profile that sustains sideout pressure when in-system.
Serve pressure proxy: 2.00 aces/set. Dig volume 12.68/set; block touches 2.96/set.
Opp Hit% allowed 0.101; hit differential +0.227 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.942 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 18-0 (win% 1.000).
Primary terminator (among players in desk file): Harper Murray (OH) — 181 kills.

Pittsburgh

Attack efficiency sits at 0.320 team hit — early-season termination profile that sustains sideout pressure when in-system.
Serve pressure proxy: 1.43 aces/set. Dig volume 12.79/set; block touches 2.99/set.
Opp Hit% allowed 0.180; hit differential +0.140 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.918 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 15-1 (win% 0.938).
Primary terminator (among players in desk file): Olivia Babcock (RS) — 280 kills on 590 swings (0.363).

Louisville

Attack efficiency sits at 0.319 team hit — early-season termination profile that sustains sideout pressure when in-system.
Serve pressure proxy: 1.58 aces/set. Dig volume 15.00/set; block touches 2.91/set.
Opp Hit% allowed 0.151; hit differential +0.168 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.905 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 16-2 (win% 0.889).
Primary terminator (among players in desk file): Chloe Chicoine (OH) — 233 kills on 612 swings (0.325).

Florida

Team hit 0.290 — mid-pack early efficiency; transition points will hinge on first-ball quality more than raw power.
Serve pressure proxy: 1.57 aces/set. Dig volume 13.96/set; block touches 2.77/set.
Opp Hit% allowed 0.164; hit differential +0.126 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.924 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 13-2 (win% 0.867).
Primary terminator (among players in desk file): Kamryn Chaney (OH) — 190 kills.

Kansas

Team hit 0.288 — mid-pack early efficiency; transition points will hinge on first-ball quality more than raw power.
Serve pressure proxy: 2.17 aces/set. Dig volume 12.87/set; block touches 2.32/set.
Opp Hit% allowed 0.181; hit differential +0.107 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.936 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 12-4 (win% 0.750).
Primary terminator (among players in desk file): Taylor Stanley (OH) — 258 kills on 542 swings (0.319).

SMU

Team hit 0.282 — mid-pack early efficiency; transition points will hinge on first-ball quality more than raw power.
Serve pressure proxy: 1.22 aces/set. Dig volume 12.12/set; block touches 2.86/set.
Opp Hit% allowed 0.185; hit differential +0.097 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.929 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 13-3 (win% 0.812).
Primary terminator (among players in desk file): Suli Davis (OH) — 269 kills on 693 swings (0.238).

Minnesota

Team hit 0.282 — mid-pack early efficiency; transition points will hinge on first-ball quality more than raw power.
Serve pressure proxy: 1.98 aces/set. Dig volume 13.94/set; block touches 2.39/set.
Opp Hit% allowed 0.193; hit differential +0.089 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.935 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 9-5 (win% 0.643).
Primary terminator (among players in desk file): Mckenna Wucherer (OH) — 236 kills on 566 swings (0.313).

Kentucky

Team hit 0.271 — mid-pack early efficiency; transition points will hinge on first-ball quality more than raw power.
Serve pressure proxy: 1.44 aces/set. Dig volume 13.25/set; block touches 2.36/set.
Opp Hit% allowed 0.196; hit differential +0.075 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.937 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 13-3 (win% 0.812).
Primary terminator (among players in desk file): Brooklyn DeLeye (OH) — 250 kills on 608 swings (0.260).

Purdue

Team hit 0.264 — mid-pack early efficiency; transition points will hinge on first-ball quality more than raw power.
Serve pressure proxy: 1.04 aces/set. Dig volume 15.11/set; block touches 2.71/set.
Opp Hit% allowed 0.181; hit differential +0.083 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.948 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 11-5 (win% 0.688).
Primary terminator (among players in desk file): Addy Tindall (OH) — 217 kills on 531 swings (0.292).

Stanford

Team hit 0.264 — mid-pack early efficiency; transition points will hinge on first-ball quality more than raw power.
Serve pressure proxy: 1.29 aces/set. Dig volume 14.43/set; block touches 2.38/set.
Opp Hit% allowed 0.214; hit differential +0.050 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.928 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 10-6 (win% 0.625).
Primary terminator (among players in desk file): Jordyn Harvey (OPP) — 177 kills.

Penn State

Team hit 0.258 — mid-pack early efficiency; transition points will hinge on first-ball quality more than raw power.
Serve pressure proxy: 1.59 aces/set. Dig volume 13.45/set; block touches 2.44/set.
Opp Hit% allowed 0.181; hit differential +0.077 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.916 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 12-4 (win% 0.750).
Primary terminator (among players in desk file): Kennedy Martin (RS) — 230 kills on 522 swings (0.328).

Wisconsin

Team hit 0.256 — mid-pack early efficiency; transition points will hinge on first-ball quality more than raw power.
Serve pressure proxy: 1.28 aces/set. Dig volume 14.80/set; block touches 1.98/set.
Opp Hit% allowed 0.227; hit differential +0.029 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.949 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 11-5 (win% 0.688).
Primary terminator (among players in desk file): Audrey Flanagan (OH) — 176 kills.

UCLA

Team hit 0.255 — mid-pack early efficiency; transition points will hinge on first-ball quality more than raw power.
Serve pressure proxy: 1.20 aces/set. Dig volume 13.42/set; block touches 2.86/set.
Opp Hit% allowed 0.199; hit differential +0.056 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.918 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 13-4 (win% 0.765).
Primary terminator (among players in desk file): Marianna Singletary (MB) — 157 kills on 316 swings (0.351).

Texas A&M

Team hit 0.236 — error-prone or blocked terminal attempts so far; serve-receive must shorten rallies.
Serve pressure proxy: 1.39 aces/set. Dig volume 12.81/set; block touches 2.55/set.
Opp Hit% allowed 0.177; hit differential +0.059 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.906 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 10-7 (win% 0.588).
Primary terminator (among players in desk file): Kyndal Stowers (OH) — 192 kills on 484 swings (0.254).

Texas

Team hit 0.228 — error-prone or blocked terminal attempts so far; serve-receive must shorten rallies.
Serve pressure proxy: 1.12 aces/set. Dig volume 13.25/set; block touches 2.14/set.
Opp Hit% allowed 0.213; hit differential +0.015 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.945 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 8-6 (win% 0.571).
Primary terminator (among players in desk file): Torrey Stafford (OH) — 234 kills on 590 swings (0.261).

USC

Team hit 0.209 — error-prone or blocked terminal attempts so far; serve-receive must shorten rallies.
Serve pressure proxy: 1.33 aces/set. Dig volume 12.96/set; block touches 2.89/set.
Opp Hit% allowed 0.203; hit differential +0.006 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.914 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 8-8 (win% 0.500).
Primary terminator (among players in desk file): London Wijay (OH) — 156 kills on 538 swings (0.178).

Creighton

Team hit 0.201 — error-prone or blocked terminal attempts so far; serve-receive must shorten rallies.
Serve pressure proxy: 1.47 aces/set. Dig volume 14.36/set; block touches 2.55/set.
Opp Hit% allowed 0.180; hit differential +0.021 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.919 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 10-8 (win% 0.556).
Floor defense lead: Saige Damrow with 319 digs.

Tracked slate statistical rankings (2026)

Ranks among the tracked Daily Desk universe only (not full D1). Counting rates from this snapshot — early-season sample.

Team	Hit%	Opp Hit%	Diff	A/K	K/S	Digs/S	Blk/S	Aces/S	Record
Nebraska	0.328	0.101	0.227	0.942	14.02	12.68	2.96	2.00	18-0
Pittsburgh	0.320	0.180	0.140	0.918	14.43	12.79	2.99	1.43	15-1
Louisville	0.319	0.151	0.168	0.905	14.28	15.00	2.91	1.58	16-2
Florida	0.290	0.164	0.126	0.924	13.74	13.96	2.77	1.57	13-2
Kansas	0.288	0.181	0.107	0.936	14.37	12.87	2.32	2.17	12-4
Minnesota	0.282	0.193	0.089	0.935	13.82	13.94	2.39	1.98	9-5
SMU	0.282	0.185	0.097	0.929	13.58	12.12	2.86	1.22	13-3
Kentucky	0.271	0.196	0.075	0.937	14.42	13.25	2.36	1.44	13-3
Purdue	0.264	0.181	0.083	0.948	13.77	15.11	2.71	1.04	11-5
Stanford	0.264	0.214	0.050	0.928	13.30	14.43	2.38	1.29	10-6
Penn State	0.258	0.181	0.077	0.916	14.05	13.45	2.44	1.59	12-4
Wisconsin	0.256	0.227	0.029	0.949	13.77	14.80	1.98	1.28	11-5
UCLA	0.255	0.199	0.056	0.918	13.68	13.42	2.86	1.20	13-4
Texas A&M	0.236	0.177	0.059	0.906	13.66	12.81	2.55	1.39	10-7
Texas	0.228	0.213	0.015	0.945	13.58	13.25	2.14	1.12	8-6
USC	0.209	0.203	0.006	0.914	12.64	12.96	2.89	1.33	8-8
Creighton	0.201	0.180	0.021	0.919	12.28	14.36	2.55	1.47	10-8

Opp Hit% = opponent attack efficiency allowed (lower better). Diff = team Hit% − Opp Hit%. A/K = assists/kills (system distribution). Tracked-slate ranks only — early-season sample.

National Opp Hit% + hitting differential (team)

Lowest Opp Hit% allowed (better)

Team	Opp Hit%	Team Hit%	Diff
Nebraska	0.101	0.328	0.227
Lehigh	0.132	0.259	0.127
Hawaii	0.135	0.231	0.096
UNI	0.140	0.205	0.065
Washington	0.150	0.257	0.107
Colorado St.	0.150	0.233	0.083
Delaware St.	0.150	0.179	0.029
Louisville	0.151	0.319	0.168
Arizona St.	0.152	0.253	0.101
CSUN	0.153	0.205	0.052

Highest hitting differential (Hit% − Opp Hit%)

Team	Diff	Hit%	Opp Hit%
Nebraska	0.227	0.328	0.101
Louisville	0.168	0.319	0.151
Pittsburgh	0.140	0.320	0.180
BYU	0.128	0.316	0.188
Lehigh	0.127	0.259	0.132
Florida	0.126	0.290	0.164
Michigan St.	0.124	0.287	0.163
Tennessee	0.121	0.295	0.174
Tulane	0.110	0.293	0.183
Kansas	0.107	0.288	0.181

Source: ncaa.com Opp Hitting Percentage + Hitting Percentage. Opp Hit% mixes block, dig, serve pressure, and opponent talent — not pure “defense.”

Matchup previews (statistical comparison)

Side-by-side Fall 2026 counting rates for scout context. No win probabilities assigned.

Pittsburgh vs Nebraska

Hit%: Pittsburgh 0.320 vs Nebraska 0.328
Kills/set: Pittsburgh 14.43 vs Nebraska 14.02
Digs/set: Pittsburgh 12.79 vs Nebraska 12.68 · Blocks/set: Pittsburgh 2.99 vs Nebraska 2.96 · Aces/set: Pittsburgh 1.43 vs Nebraska 2.00
Opp hit% allowed: Pittsburgh 0.180 vs Nebraska 0.101
Hit differential (Hit%−Opp Hit%): Pittsburgh 0.140 vs Nebraska 0.227
Context: Early Power measuring stick. Early-season sample — rates only.

Wisconsin vs Louisville

Hit%: Wisconsin 0.256 vs Louisville 0.319
Kills/set: Wisconsin 13.77 vs Louisville 14.28
Digs/set: Wisconsin 14.80 vs Louisville 15.00 · Blocks/set: Wisconsin 1.98 vs Louisville 2.91 · Aces/set: Wisconsin 1.28 vs Louisville 1.58
Opp hit% allowed: Wisconsin 0.227 vs Louisville 0.151
Hit differential (Hit%−Opp Hit%): Wisconsin 0.029 vs Louisville 0.168
Context: Big Ten / ACC style contrast. Early-season sample — rates only.

Texas vs Stanford

Hit%: Texas 0.228 vs Stanford 0.264
Kills/set: Texas 13.58 vs Stanford 13.30
Digs/set: Texas 13.25 vs Stanford 14.43 · Blocks/set: Texas 2.14 vs Stanford 2.38 · Aces/set: Texas 1.12 vs Stanford 1.29
Opp hit% allowed: Texas 0.213 vs Stanford 0.214
Hit differential (Hit%−Opp Hit%): Texas 0.015 vs Stanford 0.050
Context: Athletic ceiling test. Early-season sample — rates only.

Penn State vs Creighton

Hit%: Penn State 0.258 vs Creighton 0.201
Kills/set: Penn State 14.05 vs Creighton 12.28
Digs/set: Penn State 13.45 vs Creighton 14.36 · Blocks/set: Penn State 2.44 vs Creighton 2.55 · Aces/set: Penn State 1.59 vs Creighton 1.47
Opp hit% allowed: Penn State 0.181 vs Creighton 0.180
Hit differential (Hit%−Opp Hit%): Penn State 0.077 vs Creighton 0.021
Context: Depth vs tempo. Early-season sample — rates only.

Kentucky vs SMU

Hit%: Kentucky 0.271 vs SMU 0.282
Kills/set: Kentucky 14.42 vs SMU 13.58
Digs/set: Kentucky 13.25 vs SMU 12.12 · Blocks/set: Kentucky 2.36 vs SMU 2.86 · Aces/set: Kentucky 1.44 vs SMU 1.22
Opp hit% allowed: Kentucky 0.196 vs SMU 0.185
Hit differential (Hit%−Opp Hit%): Kentucky 0.075 vs SMU 0.097
Context: SEC / ACC noncon residue. Early-season sample — rates only.

Purdue vs Texas A&M

Hit%: Purdue 0.264 vs Texas A&M 0.236
Kills/set: Purdue 13.77 vs Texas A&M 13.66
Digs/set: Purdue 15.11 vs Texas A&M 12.81 · Blocks/set: Purdue 2.71 vs Texas A&M 2.55 · Aces/set: Purdue 1.04 vs Texas A&M 1.39
Opp hit% allowed: Purdue 0.181 vs Texas A&M 0.177
Hit differential (Hit%−Opp Hit%): Purdue 0.083 vs Texas A&M 0.059
Context: Middleweight efficiency check. Early-season sample — rates only.

Player watchlist

Efficiency leaders (min 25 attacks — early threshold)

Player	Team	Pos	Hit%	Kill%	Err%	Kills	Attacks	Kill share
Natalia Newsome	SMU	MB	0.524	0.602	0.078	124	206	16%
Taina Kaauwai	Portland	MB	0.516	0.594	0.079	151	254	20%
Andi Jackson	Nebraska	MB	0.494	0.602	0.108	145	241	18%
Alaina Lester	Southeast Mo. St.	MB	0.457	0.511	0.054	113	221	12%
Eva Rohrbach	Maryland	MB	0.445	0.532	0.087	140	263	19%
Alec Rothe	Florida	MB	0.445	0.559	0.115	127	227	17%
Caroline Noonan	Col. of Charleston	MB	0.440	0.519	0.079	177	341	20%
Maya Bukovcan	High Point	MB	0.440	0.541	0.101	166	307	21%

Kill share = player kills ÷ team kills (usage among terminators). Not the same as Evollve % Tm Pts Plyd (on-court point share).

Kill% leaders (attack-qualified, min 25 TA)

Player	Team	Kill%	Err%	Hit%	TA
Andi Jackson	Nebraska	0.602	0.108	0.494	241
Natalia Newsome	SMU	0.602	0.078	0.524	206
Taina Kaauwai	Portland	0.594	0.079	0.516	254
Brooke Bultema	Louisville	0.569	0.176	0.394	216
Alec Rothe	Florida	0.559	0.115	0.445	227
Manaia Ogbechie	Nebraska	0.554	0.134	0.419	186
Kamryn Lee-Caracci	Georgetown	0.546	0.111	0.435	324
Hannah Sanders	Delaware St.	0.544	0.137	0.407	241
Maya Bukovcan	High Point	0.541	0.101	0.440	307
Kristina Starostenko	Illinois	0.541	0.110	0.431	255

Usage / kill-share leaders (min 25 TA)

Sylvie Zgonc (South Dakota St.) — 40% of team kills (310 K · Hit% 0.286)
Bianna Muoneke (Georgia) — 40% of team kills (286 K · Hit% 0.298)
Kalista Lukovich (Eastern Wash.) — 39% of team kills (329 K · Hit% 0.218)
Jurnee Robinson (LSU) — 39% of team kills (298 K · Hit% 0.238)
Audrey Ross (Boston College) — 38% of team kills (269 K · Hit% 0.259)
Kennedy Louisell (James Madison) — 38% of team kills (309 K · Hit% 0.292)
Allie Sweet (UNC Greensboro) — 37% of team kills (344 K · Hit% 0.224)
Olivia Babcock (Pittsburgh) — 37% of team kills (280 K · Hit% 0.363)

Breakout / high-rate watch

Addison Pollock (Penn, So./L) — 5.85 digs/set
Rashanny Solano Smith (St. John’s (NY), Sr./L) — 5.71 digs/set
Jasmine Dulan (Drake, Sr./L/DS) — 5.47 digs/set
Laney Klika (Wofford, Sr./L) — 5.46 digs/set
Olivia Babcock (Pittsburgh, Sr./RS) — 5.38 kills/set (280 K / 55 S)
Sophia Tocmo (McNeese, Fr./L/DS) — 5.31 digs/set
Brooke Malek (Siena, Sr./L/DS) — 5.21 digs/set
Brennan Ramirez (Abilene Christian, So./L) — 5.17 digs/set

Efficiency risk (volume + sub-.150 hit, early)

Ella Warrick (Morehead St.) — 0.116 on 542 attacks (166 K / 103 E)
Addie Brookbank (UNC Asheville) — 0.117 on 616 attacks (202 K / 130 E)
D’Mya Hill (Prairie View) — 0.118 on 542 attacks (168 K / 104 E)
Camryn McMinn (UT Arlington) — 0.128 on 631 attacks (200 K / 119 E)
Taylor Cripe (Central Mich.) — 0.132 on 728 attacks (234 K / 138 E)

Methodology

Ingest (scripts/ingest_stats.py) scrapes ncaa.com current-season individual + team leaderboards (paginated), caches raw HTML under data/raw/YYYY-MM-DD-live/, and merges into data/processed/.
Sidearm school pages are attempted for tracked programs; only server-rendered HTML tables are parsed. JS-walled sites are documented, not fabricated.
stats.ncaa.org is not used (Akamai blocks from this environment).
Prior-season calibration CSVs are not the published desk narrative.
Movers diff against a previous CURRENT_SEASON_2026 snapshot when present.
Form notes, tracked rankings, and matchup previews use only 2026 counting stats in this snapshot. Early-season small-sample caveats are intentional — rates move quickly with more sets.
Advanced counting derived here: Kill% (K/TA), Err% (E/TA), PTS/PTS/S, Opp Hit%, hitting differential, assists/kills, and kill share (player K ÷ team K). These are not Evollve RAPM, not % Tm Pts Plyd, and not sideout%/FBSO.
Side-out % and point-scoring % are computed separately from ncaa.com play-by-play — see Side-out % vs Point-scoring %. Service errors (SE) and RAPM remain teach-only.