season · Updated 2026-10-21

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 Monday, October 19, 2026

Fall 2026 / CURRENT SEASON — live ncaa.com D1 women’s volleyball stats Through games Monday, October 19, 2026. Freshness: 2026-10-21 07:56 CT · 2026-10-21T12:56:40Z UTC · desk date 2026-10-21. Early-season small samples — treat rates as provisional.

Universe in this file: 343 teams · 1312 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	378	76	4.97	0.232	0.376	0.144
Jurnee Robinson	LSU	342	68	5.03	0.242	0.407	0.165
Kalista Lukovich	Eastern Wash.	339	78	4.35	0.217	0.329	0.112
Kiera Hamilton	George Mason	338	73	4.63	0.215	0.399	0.184
Riley Rosneck	Purdue Fort Wayne	338	81	4.17	0.257	0.361	0.104
Mallory Reck	Marist	337	87	3.87	0.224	0.364	0.140
Bianna Muoneke	Georgia	335	67	5.00	0.315	0.403	0.088
Sylvie Zgonc	South Dakota St.	332	70	4.74	0.284	0.419	0.135
Mary Claire Deacy	Siena	326	83	3.93	0.293	0.375	0.082
Kennedy Louisell	James Madison	323	69	4.68	0.288	0.411	0.124

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	360.0	58	6.21	ncaa.com
Allie Sweet	UNC Greensboro	OH	432.0	76	5.68	ncaa.com
Taylor Stanley	Kansas	OH	334.5	59	5.67	ncaa.com
Jurnee Robinson	LSU	OH	384.0	68	5.65	ncaa.com
Bianna Muoneke	Georgia	OH	373.0	67	5.57	ncaa.com
Kennedy Louisell	James Madison	OH	383.5	69	5.56	ncaa.com
Ksenia Rakhmanchik	Baylor	OH	308.0	58	5.31	ncaa.com
Mckenna Wucherer	Minnesota	OH	301.5	57	5.29	ncaa.com
Brooklyn DeLeye	Kentucky	OH	334.5	64	5.23	ncaa.com
Sylvie Zgonc	South Dakota St.	OH	365.0	70	5.21	ncaa.com

Overnight movers

Player	Team	Hit% Δ	Kills Δ	Digs Δ	Blocks Δ	Note
Rayishon Jackman	Alabama A&M	+0.005	+11	+12	+2	Season hit 0.238, 247 K / 255 D
Gerren Tomlin	Alabama A&M	—	+4	+0	+0	Season hit —, 218 K / — D
Sophia Johnson	Georgia St.	+0.003	+3	+0	+0	Season hit 0.222, 238 K / 214 D
Aniyah Moore	Mississippi Val.	—	+0	+0	+3	Season hit —, — K / — D
Akira Burt	Georgia St.	-0.002	-2	+0	+0	Season hit 0.217, 309 K / — D
Kryssa Moerman	Washington St.	+0.000	+0	+0	+2	Season hit 0.330, 96 K / — D
Olivia Lombardi	Fresno St.	—	+0	+2	+0	Season hit —, — K / 216 D
Caleigh King	UNLV	—	+0	+2	+0	Season hit —, — K / 220 D

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 0.326 team hit — early-season termination profile that sustains sideout pressure when in-system.
Serve pressure proxy: 1.90 aces/set. Dig volume 12.90/set; block touches 2.96/set.
Opp Hit% allowed 0.104; hit differential +0.222 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.940 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 19-0 (win% 1.000).
Primary terminator (among players in desk file): Harper Murray (OH) — 194 kills.

Pittsburgh

Attack efficiency sits at 0.326 team hit — early-season termination profile that sustains sideout pressure when in-system.
Serve pressure proxy: 1.44 aces/set. Dig volume 12.63/set; block touches 3.05/set.
Opp Hit% allowed 0.179; hit differential +0.147 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.917 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 17-1 (win% 0.944).
Primary terminator (among players in desk file): Olivia Babcock (RS) — 307 kills on 643 swings (0.367).

Louisville

Attack efficiency sits at 0.313 team hit — early-season termination profile that sustains sideout pressure when in-system.
Serve pressure proxy: 1.56 aces/set. Dig volume 15.24/set; block touches 2.98/set.
Opp Hit% allowed 0.151; hit differential +0.162 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.910 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 18-2 (win% 0.900).
Primary terminator (among players in desk file): Chloe Chicoine (OH) — 265 kills on 685 swings (0.331).

Florida

Team hit 0.283 — mid-pack early efficiency; transition points will hinge on first-ball quality more than raw power.
Serve pressure proxy: 1.61 aces/set. Dig volume 13.89/set; block touches 2.84/set.
Opp Hit% allowed 0.168; hit differential +0.115 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.927 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 15-2 (win% 0.882).
Primary terminator (among players in desk file): Kamryn Chaney (OH) — 219 kills.

Minnesota

Team hit 0.282 — mid-pack early efficiency; transition points will hinge on first-ball quality more than raw power.
Serve pressure proxy: 2.04 aces/set. Dig volume 14.09/set; block touches 2.48/set.
Opp Hit% allowed 0.178; hit differential +0.104 (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: 11-5 (win% 0.688).
Primary terminator (among players in desk file): Mckenna Wucherer (OH) — 248 kills on 617 swings (0.297).

Kansas

Team hit 0.281 — 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 12.83/set; block touches 2.27/set.
Opp Hit% allowed 0.182; hit differential +0.099 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.940 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 12-5 (win% 0.706).
Primary terminator (among players in desk file): Taylor Stanley (OH) — 279 kills on 601 swings (0.295).

Kentucky

Team hit 0.279 — mid-pack early efficiency; transition points will hinge on first-ball quality more than raw power.
Serve pressure proxy: 1.47 aces/set. Dig volume 13.25/set; block touches 2.45/set.
Opp Hit% allowed 0.198; hit differential +0.081 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.939 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 15-3 (win% 0.833).
Primary terminator (among players in desk file): Brooklyn DeLeye (OH) — 284 kills on 662 swings (0.287).

SMU

Team hit 0.278 — 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 12.13/set; block touches 2.81/set.
Opp Hit% allowed 0.184; hit differential +0.094 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.930 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 14-4 (win% 0.778).
Primary terminator (among players in desk file): Suli Davis (OH) — 296 kills on 772 swings (0.233).

Stanford

Team hit 0.274 — 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 14.33/set; block touches 2.33/set.
Opp Hit% allowed 0.213; hit differential +0.061 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.931 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 12-6 (win% 0.667).
Primary terminator (among players in desk file): Julia Blyashov (OH) — 205 kills.

Wisconsin

Team hit 0.267 — 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 14.57/set; block touches 2.04/set.
Opp Hit% allowed 0.223; hit differential +0.044 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.950 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 13-5 (win% 0.722).
Primary terminator (among players in desk file): Audrey Flanagan (OH) — 185 kills.

Purdue

Team hit 0.255 — mid-pack early efficiency; transition points will hinge on first-ball quality more than raw power.
Serve pressure proxy: 1.00 aces/set. Dig volume 14.87/set; block touches 2.62/set.
Opp Hit% allowed 0.189; hit differential +0.066 (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: 11-6 (win% 0.647).
Primary terminator (among players in desk file): Addy Tindall (OH) — 233 kills on 577 swings (0.282).

Penn State

Team hit 0.254 — mid-pack early efficiency; transition points will hinge on first-ball quality more than raw power.
Serve pressure proxy: 1.55 aces/set. Dig volume 13.77/set; block touches 2.45/set.
Opp Hit% allowed 0.175; hit differential +0.079 (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: 13-5 (win% 0.722).
Primary terminator (among players in desk file): Kennedy Martin (RS) — 265 kills on 633 swings (0.313).

UCLA

Team hit 0.253 — mid-pack early efficiency; transition points will hinge on first-ball quality more than raw power.
Serve pressure proxy: 1.24 aces/set. Dig volume 13.59/set; block touches 2.73/set.
Opp Hit% allowed 0.206; hit differential +0.047 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.927 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 15-4 (win% 0.789).
Primary terminator (among players in desk file): Marianna Singletary (MB) — 176 kills on 367 swings (0.335).

Texas

Team hit 0.235 — error-prone or blocked terminal attempts so far; serve-receive must shorten rallies.
Serve pressure proxy: 1.10 aces/set. Dig volume 13.32/set; block touches 2.09/set.
Opp Hit% allowed 0.220; hit differential +0.015 (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: 9-7 (win% 0.562).
Primary terminator (among players in desk file): Torrey Stafford (OH) — 269 kills on 683 swings (0.259).

Texas A&M

Team hit 0.232 — error-prone or blocked terminal attempts so far; serve-receive must shorten rallies.
Serve pressure proxy: 1.33 aces/set. Dig volume 13.07/set; block touches 2.53/set.
Opp Hit% allowed 0.182; hit differential +0.050 (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: 11-8 (win% 0.579).
Primary terminator (among players in desk file): Kyndal Stowers (OH) — 230 kills on 576 swings (0.259).

Creighton

Team hit 0.208 — error-prone or blocked terminal attempts so far; serve-receive must shorten rallies.
Serve pressure proxy: 1.44 aces/set. Dig volume 14.26/set; block touches 2.50/set.
Opp Hit% allowed 0.180; hit differential +0.028 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.912 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 11-9 (win% 0.550).
Floor defense lead: Saige Damrow with 348 digs.

USC

Team hit 0.199 — error-prone or blocked terminal attempts so far; serve-receive must shorten rallies.
Serve pressure proxy: 1.24 aces/set. Dig volume 13.27/set; block touches 2.86/set.
Opp Hit% allowed 0.206; hit differential -0.007 (team Hit% − Opp Hit%; lower Opp Hit% is better).
Assists/kills 0.922 — near 1.0 often means cleaner set→kill distribution (overpass kills still count as good offense).
Match record in this snapshot: 8-10 (win% 0.444).
Primary terminator (among players in desk file): London Wijay (OH) — 187 kills on 645 swings (0.180).

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	0.326	0.104	0.222	0.940	14.05	12.90	2.96	1.90	19-0
Pittsburgh	0.326	0.179	0.147	0.917	14.46	12.63	3.05	1.44	17-1
Louisville	0.313	0.151	0.162	0.910	14.27	15.24	2.98	1.56	18-2
Florida	0.283	0.168	0.115	0.927	13.61	13.89	2.84	1.61	15-2
Minnesota	0.282	0.178	0.104	0.937	13.56	14.09	2.48	2.04	11-5
Kansas	0.281	0.182	0.099	0.940	14.12	12.83	2.27	2.17	12-5
Kentucky	0.279	0.198	0.081	0.939	14.55	13.25	2.45	1.47	15-3
SMU	0.278	0.184	0.094	0.930	13.49	12.13	2.81	1.22	14-4
Stanford	0.274	0.213	0.061	0.931	13.40	14.33	2.33	1.29	12-6
Wisconsin	0.267	0.223	0.044	0.950	13.99	14.57	2.04	1.22	13-5
Purdue	0.255	0.189	0.066	0.949	13.60	14.87	2.62	1.00	11-6
Penn State	0.254	0.175	0.079	0.914	14.00	13.77	2.45	1.55	13-5
UCLA	0.253	0.206	0.047	0.927	13.44	13.59	2.73	1.24	15-4
Texas	0.235	0.220	0.015	0.949	13.72	13.32	2.09	1.10	9-7
Texas A&M	0.232	0.182	0.050	0.905	13.83	13.07	2.53	1.33	11-8
Creighton	0.208	0.180	0.028	0.912	12.44	14.26	2.50	1.44	11-9
USC	0.199	0.206	-0.007	0.922	12.48	13.27	2.86	1.24	8-10

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	0.104	0.326	0.222
Lehigh	0.132	0.259	0.127
Hawaii	0.133	0.232	0.099
UNI	0.135	0.216	0.081
Colorado St.	0.142	0.233	0.091
Delaware St.	0.150	0.178	0.028
Louisville	0.151	0.313	0.162
San Diego	0.152	0.232	0.080
Arizona St.	0.156	0.249	0.093
Providence	0.157	0.222	0.065

Highest hitting differential (Hit% − Opp Hit%)

Team	Diff	Hit%	Opp Hit%
Nebraska	0.222	0.326	0.104
Louisville	0.162	0.313	0.151
Pittsburgh	0.147	0.326	0.179
Lehigh	0.127	0.259	0.132
BYU	0.125	0.310	0.185
Michigan St.	0.123	0.289	0.166
Tennessee	0.115	0.297	0.182
Florida	0.115	0.283	0.168
Minnesota	0.104	0.282	0.178
Kansas	0.099	0.281	0.182

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 0.326 vs Nebraska 0.326
Kills/set: Pittsburgh 14.46 vs Nebraska 14.05
Digs/set: Pittsburgh 12.63 vs Nebraska 12.90 · Blocks/set: Pittsburgh 3.05 vs Nebraska 2.96 · Aces/set: Pittsburgh 1.44 vs Nebraska 1.90
Opp hit% allowed: Pittsburgh 0.179 vs Nebraska 0.104
Hit differential (Hit%−Opp Hit%): Pittsburgh 0.147 vs Nebraska 0.222
Context: Early Power measuring stick. Early-season sample — rates only.

Wisconsin vs Louisville

Hit%: Wisconsin 0.267 vs Louisville 0.313
Kills/set: Wisconsin 13.99 vs Louisville 14.27
Digs/set: Wisconsin 14.57 vs Louisville 15.24 · Blocks/set: Wisconsin 2.04 vs Louisville 2.98 · Aces/set: Wisconsin 1.22 vs Louisville 1.56
Opp hit% allowed: Wisconsin 0.223 vs Louisville 0.151
Hit differential (Hit%−Opp Hit%): Wisconsin 0.044 vs Louisville 0.162
Context: Big Ten / ACC style contrast. Early-season sample — rates only.

Texas vs Stanford

Hit%: Texas 0.235 vs Stanford 0.274
Kills/set: Texas 13.72 vs Stanford 13.40
Digs/set: Texas 13.32 vs Stanford 14.33 · Blocks/set: Texas 2.09 vs Stanford 2.33 · Aces/set: Texas 1.10 vs Stanford 1.29
Opp hit% allowed: Texas 0.220 vs Stanford 0.213
Hit differential (Hit%−Opp Hit%): Texas 0.015 vs Stanford 0.061
Context: Athletic ceiling test. Early-season sample — rates only.

Penn State vs Creighton

Hit%: Penn State 0.254 vs Creighton 0.208
Kills/set: Penn State 14.00 vs Creighton 12.44
Digs/set: Penn State 13.77 vs Creighton 14.26 · Blocks/set: Penn State 2.45 vs Creighton 2.50 · Aces/set: Penn State 1.55 vs Creighton 1.44
Opp hit% allowed: Penn State 0.175 vs Creighton 0.180
Hit differential (Hit%−Opp Hit%): Penn State 0.079 vs Creighton 0.028
Context: Depth vs tempo. Early-season sample — rates only.

Kentucky vs SMU

Hit%: Kentucky 0.279 vs SMU 0.278
Kills/set: Kentucky 14.55 vs SMU 13.49
Digs/set: Kentucky 13.25 vs SMU 12.13 · Blocks/set: Kentucky 2.45 vs SMU 2.81 · Aces/set: Kentucky 1.47 vs SMU 1.22
Opp hit% allowed: Kentucky 0.198 vs SMU 0.184
Hit differential (Hit%−Opp Hit%): Kentucky 0.081 vs SMU 0.094
Context: SEC / ACC noncon residue. Early-season sample — rates only.

Purdue vs Texas A&M

Hit%: Purdue 0.255 vs Texas A&M 0.232
Kills/set: Purdue 13.60 vs Texas A&M 13.83
Digs/set: Purdue 14.87 vs Texas A&M 13.07 · Blocks/set: Purdue 2.62 vs Texas A&M 2.53 · Aces/set: Purdue 1.00 vs Texas A&M 1.33
Opp hit% allowed: Purdue 0.189 vs Texas A&M 0.182
Hit differential (Hit%−Opp Hit%): Purdue 0.066 vs Texas A&M 0.050
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	14%
Taina Kaauwai	Portland	MB	0.521	0.601	0.080	158	263	20%
Andi Jackson	Nebraska	MB	0.469	0.594	0.125	152	256	18%
Kayla Dunlap	Vanderbilt	MB	0.464	0.601	0.137	92	153	11%
Alaina Lester	Southeast Mo. St.	MB	0.455	0.512	0.057	125	244	12%
Alec Rothe	Florida	MB	0.442	0.558	0.117	153	274	18%
Nya Bunton	Texas	MB	0.441	0.511	0.070	95	186	12%
Manaia Ogbechie	Nebraska	MB	0.440	0.565	0.125	113	200	13%

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
Natalia Newsome	SMU	0.602	0.078	0.524	206
Taina Kaauwai	Portland	0.601	0.080	0.521	263
Kayla Dunlap	Vanderbilt	0.601	0.137	0.464	153
Andi Jackson	Nebraska	0.594	0.125	0.469	256
Brooke Bultema	Louisville	0.570	0.182	0.388	242
Manaia Ogbechie	Nebraska	0.565	0.125	0.440	200
Alec Rothe	Florida	0.558	0.117	0.442	274
Hannah Sanders	Delaware St.	0.547	0.140	0.407	258
Olivia Burrage	Kennesaw St.	0.543	0.138	0.405	405
Kristina Starostenko	Illinois	0.542	0.120	0.422	275

Usage / kill-share leaders (min 25 TA)

Bianna Muoneke (Georgia) — 41% of team kills (335 K · Hit% 0.315)
Sylvie Zgonc (South Dakota St.) — 40% of team kills (332 K · Hit% 0.284)
Kalista Lukovich (Eastern Wash.) — 39% of team kills (339 K · Hit% 0.217)
Jurnee Robinson (LSU) — 39% of team kills (342 K · Hit% 0.242)
Audrey Ross (Boston College) — 38% of team kills (297 K · Hit% 0.250)
Kennedy Louisell (James Madison) — 38% of team kills (323 K · Hit% 0.288)
Allie Sweet (UNC Greensboro) — 37% of team kills (378 K · Hit% 0.232)
Olivia Babcock (Pittsburgh) — 36% of team kills (307 K · Hit% 0.367)

Breakout / high-rate watch

Addison Pollock (Penn, So./L) — 5.85 digs/set
Rashanny Solano Smith (St. John’s (NY), Sr./L) — 5.61 digs/set
Jasmine Dulan (Drake, Sr./L/DS) — 5.50 digs/set
Sophia Tocmo (McNeese, Fr./L/DS) — 5.38 digs/set
Olivia Babcock (Pittsburgh, Sr./RS) — 5.29 kills/set (307 K / 58 S)
Laney Klika (Wofford, Sr./L) — 5.27 digs/set
Najah Harris (Southern U., Sr./DS) — 5.16 digs/set
Brooke Malek (Siena, Sr./L/DS) — 5.11 digs/set

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

D’Mya Hill (Prairie View) — 0.118 on 542 attacks (168 K / 104 E)
McKenzie Moeller (Southern Ill.) — 0.125 on 662 attacks (210 K / 127 E)
Addie Brookbank (UNC Asheville) — 0.130 on 706 attacks (236 K / 144 E)
Ella Warrick (Morehead St.) — 0.130 on 602 attacks (186 K / 108 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.