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2023-2024 HuskerGeek Ratings Leaders

Sport School Rating
ViPR D1 Volleyball Wisconsin 1,711.3731

WCC - Conference Overview

Conference Division: Division 1
Rnk. Team Résumé Recent ViPR Adj SP% Adj SO% Adj. Hit Mar.
1st BYU 1,748.5945 1,709.6601 1,729.0177 56.47 72.41 0.284
2nd Pepperdine 1,640.4236 1,607.0978 1,623.6752 48.54 67.60 0.146
3rd San Diego 1,640.3825 1,603.1938 1,621.6815 49.49 66.38 0.144
4th Loyola Marymount 1,604.7024 1,568.7084 1,586.6033 45.22 67.21 0.118
5th Saint Mary's (CA) 1,590.0808 1,554.1107 1,571.9929 47.96 63.27 0.114
6th Portland 1,586.0914 1,551.2362 1,568.5670 45.81 65.04 0.096
7th Pacific 1,567.9468 1,536.2553 1,552.0202 46.12 61.86 0.064
8th Gonzaga 1,546.5456 1,511.7454 1,529.0465 44.23 62.35 0.052
9th San Francisco 1,508.9113 1,473.6931 1,491.1982 42.73 59.17 0.006
10th Santa Clara 1,496.1377 1,472.1372 1,484.0890 42.05 60.02 0.026

ViPR Adjusted Offenses and Defenses are adjusted to expected values against an average team in the same division.

ViPR Division Adjusted Offenses

Rnk. Team Hit% Kill% HE% AST% O_DIG% O_BLK% ACE%
1st BYU 0.3531 47.41 12.10 44.64 37.83 4.96 7.13
2nd Loyola Marymount 0.3012 45.63 15.51 43.45 37.27 6.27 8.39
3rd Pepperdine 0.2928 42.22 12.94 39.62 43.87 5.66 7.86
4th San Diego 0.2809 43.51 15.42 40.30 38.70 7.13 5.26
5th Portland 0.2770 40.79 13.10 38.66 44.78 5.64 7.70
6th Saint Mary's (CA) 0.2713 39.48 12.34 36.91 46.48 5.64 8.31
7th Pacific 0.2444 41.53 17.09 39.49 40.67 6.75 7.28
8th Gonzaga 0.2342 38.25 14.83 36.29 47.69 5.63 6.68
9th Santa Clara 0.2251 38.20 15.70 35.46 46.55 5.81 5.77
10th San Francisco 0.2033 35.24 14.91 32.62 49.99 6.50 7.00

ViPR Division Adjusted Defenses

Rnk. Team O_Hit% O_Kill% O_HE% O_AST% DIG% BLK% O_ACE%
1st BYU 0.0692 27.56 20.64 26.64 53.55 9.05 3.56
2nd San Diego 0.1373 30.99 17.26 28.90 53.75 6.88 4.85
3rd Pepperdine 0.1466 31.04 16.38 29.66 55.35 6.03 3.78
4th Saint Mary's (CA) 0.1578 32.45 16.67 30.09 53.59 6.10 5.24
5th Pacific 0.1802 32.65 14.63 30.63 54.95 4.85 4.29
6th Portland 0.1806 33.00 14.93 31.13 53.14 5.87 4.94
7th Gonzaga 0.1825 34.39 16.14 32.28 52.04 6.42 3.84
8th Loyola Marymount 0.1834 32.77 14.43 30.04 53.84 5.03 3.76
9th San Francisco 0.1970 35.60 15.90 33.18 51.48 6.06 6.16
10th Santa Clara 0.1990 34.02 14.11 31.37 53.03 5.67 6.21

Conference Strength

Description Average Remove First and Last Remove Top and Bottom 2 Remove Top and Bottom 3 Composite
Scores 1,575.7891 1,568.0981 1,571.6519 1,569.7958 1,571.3337
Difference -7.6910 -4.1372 -5.9933 -5.9405

Point Totals

Offense Defense
Team Sets S SP SA SE SP% S/SA S/SE OS SPA SAA SEA SO% OS/SAA OS/SEA
BYU 107 2,564 1,270 150 180 49.53 17.1 14.2 2,014 671 95 201 66.68 21.2 10.0
Pepperdine 111 2,489 1,088 175 254 43.71 14.2 9.8 2,279 862 107 196 62.18 21.3 11.6
Loyola Marymount 112 2,536 1,045 195 372 41.21 13.0 6.8 2,404 895 110 232 62.77 21.9 10.4
Portland 124 2,733 1,158 192 277 42.37 14.2 9.9 2,611 1,020 154 273 60.94 17.0 9.6
San Diego 112 2,480 1,062 98 173 42.82 25.3 14.3 2,372 946 145 232 60.12 16.4 10.2
Saint Mary's (CA) 118 2,624 1,134 198 271 43.22 13.3 9.7 2,548 1,056 165 230 58.56 15.4 11.1
Pacific 117 2,512 1,049 163 240 41.76 15.4 10.5 2,536 1,074 136 198 57.65 18.6 12.8
Gonzaga 109 2,316 902 138 202 38.95 16.8 11.5 2,440 1,043 123 221 57.25 19.8 11.0
San Francisco 113 2,364 929 151 212 39.30 15.7 11.2 2,577 1,151 183 249 55.34 14.1 10.3
Santa Clara 108 2,243 846 109 179 37.72 20.6 12.5 2,467 1,097 180 256 55.53 13.7 9.6
Conference Average 113 2,486 1,048 157 236 42.06 16.6 11.0 2,425 982 140 229 59.70 17.9 10.7
  • Sets - Team Sets Played
  • S - Serves
  • SP - Service Points
  • SA - Service Aces
  • SE - Service Errors
  • SP% - Service Point Percentage
  • S/SA - Serves Per Service Ace
  • S/SE - Serves Per Service Error
  • OS - Opponent Serves
  • SPA - Service Points Allowed
  • SAA - Service Aces Allowed
  • SEA - Service Errors Against
  • SO% - Team Sideout Percentage
  • OS/SAA - Serves Per Ace Allowed
  • OS/SEA - Serves Per Error Against

The Best Games in the WCC

Game Link EPIC Game Date Location Teams Sets Set 1 Set 2 Set 3 Set 4 Set 5
GAME

77.71

2018-09-20 San Diego, CA
San Diego
Saint Mary's (CA)
2
3
22
25
25
20
25
22
20
25
14
16
GAME

76.54

2018-11-03 Moraga, Calif.
Saint Mary's (CA)
Loyola Marymount
2
3
26
28
25
15
28
26
23
25
12
15
GAME

76.36

2018-11-20 Los Angeles, Calif.
Loyola Marymount
BYU
3
0
25
23
27
25
25
20
GAME

76.34

2018-11-03 Stockton, Calif.
Pacific
Pepperdine
3
2
25
23
24
26
15
25
30
28
21
19
GAME

75.87

2018-11-15 Moraga, Calif.
Saint Mary's (CA)
BYU
1
3
23
25
23
25
26
24
16
25
GAME

75.58

2018-11-03 Santa Clara, Calif.
Santa Clara
Gonzaga
2
3
25
22
24
26
29
27
23
25
10
15
GAME

75.52

2018-11-02 Provo, Utah
BYU
San Diego
3
1
25
19
25
15
22
25
25
20
GAME

75.25

2018-11-20 Portland, Ore.
Portland
Gonzaga
2
3
23
25
25
19
25
23
28
30
11
15
GAME

73.96

2018-09-29 Santa Clara, Calif.
Santa Clara
Pepperdine
0
3
26
28
8
25
25
27
GAME

73.76

2018-11-20
San Francisco
Pacific
2
3
19
25
25
22
23
25
25
20
9
15

HuskerGeek WCC All-Conference

1st Team

Name Team Role
A
A
A
A
D
S
S

2nd Team

Name Team Role
A
A
A
A
D
D
S

Player of the Year

Rank Name Team
1
2
3
4
5

Attacker of the Year

Rank Name Team
1
2
3
4
5

Setter of the Year

Rank Name Team
1
2
3
4
5

Defensive Player of the Year

Rank Name Team
1
2
3
4
5

WPA

Rk. Name Team WPA
1 26.1750
2 25.6107
3 23.5315
4 22.9176
5 21.0158
6 19.5169
7 19.3391
8 19.0545
9 18.9766
10 18.6955

Offensive WPA

Rk. Name Team OWPA
1 18.1167
2 16.4417
3 16.2190
4 14.9676
5 13.6986
6 12.9089
7 12.0087
8 11.9995
9 11.0086
10 10.7348

Defensive WPA

Rk. Name Team DWPA
1 16.7028
2 15.6772
3 14.4653
4 13.9293
5 12.6091
6 12.1876
7 11.9043
8 11.6894
9 10.8690
10 9.8524

WPA Per Set

Rk. Name Team WPA/S
1 0.2394
2 0.2337
3 0.2307
4 0.1848
5 0.1796
6 0.1758
7 0.1742
8 0.1732
9 0.1679
10 0.1656

Offensive WPA Per Set

Rk. Name Team OWPA/S
1 0.1618
2 0.1612
3 0.1516
4 0.1207
5 0.1182
6 0.1163
7 0.1114
8 0.1081
9 0.1026
10 0.1023

Defensive WPA Per Set

Rk. Name Team DWPA/S
1 0.1400
2 0.1347
3 0.1339
4 0.1244
5 0.1190
6 0.1168
7 0.1098
8 0.1098
9 0.1092
10 0.0908


Explanations

Conference Strength – The Conference Strength table has two parts.  The first row is a list of averages of the scores for a selection of teams in the conference ranging from all of them under the heading “Average” to an average of teams in the conference if we remove the top and bottom three teams.  This is designed to check if a conference is propped up by its elite teams of held down by its weakest teams.  The Composite score on the far right is an average of those scores.  It is a weighted score where the middle teams have a higher value than the edge teams.  The second row containing difference is simply a measure of how different removing the edge teams makes the conference from its initial average.  If the numbers are positive, then removing the edge teams increases the conferences rating.  If a value grows from the value before it, then the team removed at the bottom of the ratings was rated farther outside of the mean than the team removed at the top of the ratings.  It was weighing the average down so to speak.  The Composite difference at the far right is simply an average of the differences.

The Best Conference Games – A short list of the best games played between two members of the conference which is calculated using the EPIC score of each game.  EPIC score is essentially very simple amounting to adding the teams combined ViPR Rating and the total Win Probability Added scored by each team.

All-Conference Teams – All-conference teams are calculated using Win Probability Added per Set Played and the quality of the team that the player plays on. Team quality is included because better teams tend to have better players and more of them.  This often means that players on better teams have fewer opportunities than standouts on lesser teams.

Awards Lists – Each awards list uses the same formula that is used to calculate All-Conference Teams, and decides based on the focus of the list.  Player of the Year has no limitation on how the player score is added up. While Attacker of the Year must have a higher attack score than any other metric.  Similarly Setter and Defensive Player must acquire most of their score through those metrics.

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