Brigham Young University
Apr 08 | 07:00 PM
3 - 1
Pepperdine University
Firestone Fieldhouse

john Tyler Dr and Banowsky Blvd Malibu CA 90263

wcraft | Posted: 8 Apr 2011 | Updated: 8 Nov 2020
wcraft

Comeback Wins Road Match For Cougars

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MALIBU, Calif. -- After losing set one, the second-ranked BYU men's volleyball team came back to win the next three and defeat (18-25, 25-21, 25-19, 25-18) the thirteenth-ranked Pepperdine Waves, Friday, on the road.

Freshman Taylor Sander led all players with 20 kills on the night and a .567 attacking percentage while adding three service aces, nine digs and four blocks. Also in double-digit kills was Robb Stowell with 14.

The Cougars (19-7, 14-6) dropped set one 18-25 after Pepperdine's strong start that BYU was never able to overcome.

The next three sets, however, belonged to the visiting team as the Cougars finished in 25-21, 25-19 and 25-18 set scores.

Pepperdine's Cory Riecks, Chase Ross and Maurice Torres all recorded double-figure kills for the Waves with 11, 11 and 13, respectively.

The two teams will meet again tomorrow at 7 p.m. on the same court.

File Attachments
 

 
wcraft | Posted: 6 Apr 2011 | Updated: 8 Nov 2020
wcraft

Road Games Wrap Up Regular Season

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The No. 2 BYU men's volleyball team will make its final road trip of the 2011 regular season this weekend as they head to No. 13 Pepperdine to play Friday and Saturday, April 8 & 9, at 7 p.m. PT.

Junior Robb Stowell leads the attack for BYU on 362 kills and a .331 attacking percentage. Teammates Taylor Sander, Futi Tavana and Alex DaPron join Stowell in double-digit kills with 293, 212 and 162 respectively.

Tavana currently leads the team with a .459 hitting percentage and is the only players with over 100 blocks for a 143 total. He also is currently ranked second in the nation for his total blocks per set with 1.52.

Setter Joe Kauliakamoa has recorded 823 assists this season as he paces the Cougar offense, averaging 10.04 per set. Setter Ryan Boyce has recently been splitting time with Kauliakamoa for 175 total assists and a 3.89 average.

The Cougars lead the overall series against Pepperdine 27-19 after going 1-1 against them last season. The Waves, however, own the road record with a 19-6 advantage against BYU when playing on their home court.

The Waves host the Cougars with a 9-13 overall record after having won three of their last five matches. Pepperdine has four players currently recording triple-digit kills on the season with Maurice Torres’ 320 leading the way. Chase Ross, Cory Riecks and Matt Pollock have tallied 116, 191 and 180 respectively.

Pepperdine are currently ninth in the MPSF standings with BYU in second.

File Attachments
 

 
Location: {[{stats.vbgame.venue.location}]}
Time: {[{stats.vbgame.venue.time}]} Date: {[{stats.vbgame.venue.date}]}
Attendance: {[{stats.vbgame.venue.attend | number}]}

Box Score

Set Scores 1 2 3 4 5
{[{stats.vbgame.team[0].id}]} {[{stats.vbgame.team[0].linescore.linegame[0].points}]} {[{stats.vbgame.team[0].linescore.linegame[1].points}]} {[{stats.vbgame.team[0].linescore.linegame[2].points}]} {[{stats.vbgame.team[0].linescore.linegame[3].points}]} {[{stats.vbgame.team[0].linescore.linegame[4].points}]}
{[{stats.vbgame.team[1].id}]} {[{stats.vbgame.team[1].linescore.linegame[0].points}]} {[{stats.vbgame.team[1].linescore.linegame[1].points}]} {[{stats.vbgame.team[1].linescore.linegame[2].points}]} {[{stats.vbgame.team[1].linescore.linegame[3].points}]} {[{stats.vbgame.team[1].linescore.linegame[4].points}]}

{[{stats.vbgame.team[0].name}]} {[{stats.vbgame.team[0].record}]}

NO. Athlete S K E TA Pct Ast SA SE RE Digs BS BA BE BHE Pts
{[{p1.uni}]} {[{p1.name}]} {[{p1.name}]} {[{p1.name}]} {[{p1.gp | ifEmpty:0}]} {[{p1.attack.k | ifEmpty:0}]} {[{p1.attack.e | ifEmpty:0}]} {[{p1.attack.ta | ifEmpty:0}]} {[{p1.attack.pct | ifEmpty:0}]} {[{p1.set.a | ifEmpty:0}]} {[{p1.serve.sa | ifEmpty:0}]} {[{p1.serve.se | ifEmpty:0}]} {[{p1.defense.re | ifEmpty:0}]} {[{p1.defense.dig | ifEmpty:0}]} {[{p1.block.bs | ifEmpty:0}]} {[{p1.block.ba | ifEmpty:0}]} {[{p1.block.be | ifEmpty:0}]} {[{p1.misc.bhe | ifEmpty:0}]} {[{p1.misc.pts | ifEmpty:0}]}
Totals {[{stats.vbgame.team[0].totals.attack.k}]} {[{stats.vbgame.team[0].totals.attack.e}]} {[{stats.vbgame.team[0].totals.attack.ta}]} {[{stats.vbgame.team[0].totals.attack.pct}]} {[{stats.vbgame.team[0].totals.set.a}]} {[{stats.vbgame.team[0].totals.serve.sa}]} {[{stats.vbgame.team[0].totals.serve.se}]} {[{stats.vbgame.team[0].totals.defense.re}]} {[{stats.vbgame.team[0].totals.defense.dig}]} {[{stats.vbgame.team[0].totals.block.bs}]} {[{stats.vbgame.team[0].totals.block.ba}]} {[{stats.vbgame.team[0].totals.block.be}]} {[{stats.vbgame.team[0].totals.misc.bhe}]} {[{stats.vbgame.team[0].totals.misc.pts}]}

{[{stats.vbgame.team[1].name}]} {[{stats.vbgame.team[1].record}]}

NO. Athlete S K E TA Pct Ast SA SE RE Digs BS BA BE BHE Pts
{[{p1.uni}]} {[{p1.name}]} {[{p1.name}]} {[{p1.gp | ifEmpty:0}]} {[{p1.attack.k | ifEmpty:0}]} {[{p1.attack.e | ifEmpty:0}]} {[{p1.attack.ta | ifEmpty:0}]} {[{p1.attack.pct | ifEmpty:0}]} {[{p1.set.a | ifEmpty:0}]} {[{p1.serve.sa | ifEmpty:0}]} {[{p1.serve.se | ifEmpty:0}]} {[{p1.defense.re | ifEmpty:0}]} {[{p1.defense.dig | ifEmpty:0}]} {[{p1.block.bs | ifEmpty:0}]} {[{p1.block.ba | ifEmpty:0}]} {[{p1.block.be | ifEmpty:0}]} {[{p1.misc.bhe | ifEmpty:0}]} {[{p1.misc.pts | ifEmpty:0}]}
Totals {[{stats.vbgame.team[1].totals.attack.k}]} {[{stats.vbgame.team[1].totals.attack.e}]} {[{stats.vbgame.team[1].totals.attack.ta}]} {[{stats.vbgame.team[1].totals.attack.pct}]} {[{stats.vbgame.team[1].totals.set.a}]} {[{stats.vbgame.team[1].totals.serve.sa}]} {[{stats.vbgame.team[1].totals.serve.se}]} {[{stats.vbgame.team[1].totals.defense.re}]} {[{stats.vbgame.team[1].totals.defense.dig}]} {[{stats.vbgame.team[1].totals.block.bs}]} {[{stats.vbgame.team[1].totals.block.ba}]} {[{stats.vbgame.team[1].totals.block.be}]} {[{stats.vbgame.team[1].totals.misc.bhe}]} {[{stats.vbgame.team[1].totals.misc.pts}]}

Team Attack Stats By Set

{[{stats.vbgame.team[0].name}]} {[{stats.vbgame.team[0].linescore.score}]} sets {[{stats.vbgame.breakdowns[0].block}]} blocks

Set K E TA Pct Pts
{[{set.game}]} {[{set.k}]} {[{set.e}]} {[{set.ta}]} {[{set.pct}]} {[{stats.vbgame.team[0].linescore.linegame[0].points}]} {[{stats.vbgame.team[0].linescore.linegame[1].points}]} {[{stats.vbgame.team[0].linescore.linegame[2].points}]} {[{stats.vbgame.team[0].linescore.linegame[3].points}]} {[{stats.vbgame.team[0].linescore.linegame[4].points}]} {[{stats.vbgame.team[0].linescore.linegame[5].points}]}
Totals {[{stats.vbgame.team[0].totals.attack.k}]} {[{stats.vbgame.team[0].totals.attack.e}]} {[{stats.vbgame.team[0].totals.attack.ta}]} {[{stats.vbgame.team[0].totals.attack.pct}]} {[{stats.vbgame.breakdowns[0].pts}]}

{[{stats.vbgame.team[1].name}]} {[{stats.vbgame.team[1].linescore.score}]} sets {[{stats.vbgame.breakdowns[1].block}]} blocks

Set K E TA Pct Pts
{[{set.game}]} {[{set.k}]} {[{set.e}]} {[{set.ta}]} {[{set.pct}]} {[{stats.vbgame.team[1].linescore.linegame[0].points}]} {[{stats.vbgame.team[1].linescore.linegame[1].points}]} {[{stats.vbgame.team[1].linescore.linegame[2].points}]} {[{stats.vbgame.team[1].linescore.linegame[3].points}]} {[{stats.vbgame.team[1].linescore.linegame[4].points}]} {[{stats.vbgame.team[1].linescore.linegame[5].points}]}
Totals {[{stats.vbgame.team[1].totals.attack.k}]} {[{stats.vbgame.team[1].totals.attack.e}]} {[{stats.vbgame.team[1].totals.attack.ta}]} {[{stats.vbgame.team[1].totals.attack.pct}]} {[{stats.vbgame.breakdowns[1].pts}]}

Play By Play

Set {[{set.number}]}

Play Serve Point {[{stats.vbgame.venue.visid}]} {[{stats.vbgame.venue.homeid}]}
{[{play.text}]} {[{play.serveteam}]} {[{play.point}]} {[{play.vscore}]} {[{play.hscore}]}

Athletes With No Matching Name in the Database

Player Possible Matches Query
LAVAJA,RUSSELL SELECT n.nid, f.field_first_name_value,alt.field_alternate_first_names_value, l.field_last_name_value, s.field_sport_target_id, m.field_maiden_name_value FROM node n LEFT JOIN node__field_first_name f ON f.entity_id = n.nid LEFT JOIN node__field_last_name l ON l.entity_id = n.nid LEFT JOIN node__field_maiden_name m ON m.entity_id = n.nid LEFT JOIN node__field_alternate_first_names alt ON alt.entity_id = n.nid LEFT JOIN node__field_sport s ON s.entity_id = n.nid WHERE n.type = "athlete_profile" && (f.field_first_name_value LIKE '%RUSSELL%' || alt.field_alternate_first_names_value LIKE '%RUSSELL%') && (l.field_last_name_value LIKE '%LAVAJA%' || m.field_maiden_name_value LIKE '%LAVAJA%') && (s.field_sport_target_id = 1706 || s.field_sport_target_id = 1716)
(This will delete the current stats and resync, make sure the selected athlete is correct)