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2023-2024 HuskerGeek Ratings Leaders

Sport School Rating
ViPR D1 Volleyball Wisconsin 1,711.3731

Big South - Conference Overview

Conference Division: Division 1
Rnk. Team Résumé Recent ViPR Adj SP% Adj SO% Adj. Hit Mar.
1st High Point 1,565.7655 1,533.6221 1,549.6105 47.09 52.41 0.027
2nd Winthrop 1,559.1941 1,527.7937 1,543.4140 46.32 56.05 -0.011
3rd Presbyterian 1,523.6631 1,483.4217 1,503.4078 43.95 48.35 -0.079
4th Campbell 1,507.2383 1,471.6026 1,489.3139 42.45 51.02 -0.070
5th Radford 1,500.7264 1,463.6900 1,482.0925 41.98 51.47 -0.079
6th UNC Asheville 1,484.3279 1,451.5828 1,467.8641 42.07 51.46 -0.089
7th Charleston So. 1,470.1533 1,438.9179 1,454.4518 41.59 49.84 -0.100
8th USC Upstate 1,431.6131 1,397.7856 1,414.5983 40.67 45.10 -0.120
9th Hampton 1,405.1919 1,373.3846 1,389.1972 37.30 44.51 -0.144
10th Gardner-Webb 1,361.1669 1,317.7340 1,339.2744 38.32 39.93 -0.218

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 High Point 0.2036 35.28 14.92 33.54 48.97 5.28 7.56
2nd Winthrop 0.1932 32.94 13.62 30.44 53.41 4.76 6.17
3rd UNC Asheville 0.1702 31.13 14.11 28.76 55.29 6.48 4.69
4th Campbell 0.1661 34.11 17.50 30.99 50.60 6.20 6.56
5th Charleston So. 0.1592 33.82 17.89 32.17 48.77 7.10 4.81
6th USC Upstate 0.1581 30.80 14.99 28.15 54.28 5.95 5.59
7th Presbyterian 0.1561 32.61 17.00 30.47 52.07 6.57 6.59
8th Radford 0.1526 31.38 16.12 29.08 53.92 5.81 6.02
9th Hampton 0.1285 30.58 17.74 28.03 51.13 5.67 4.92
10th Gardner-Webb 0.0784 25.91 18.07 24.00 59.05 6.33 5.85

ViPR Division Adjusted Defenses

Rnk. Team O_Hit% O_Kill% O_HE% O_AST% DIG% BLK% O_ACE%
1st High Point 0.1766 31.88 14.21 28.87 53.26 5.82 6.59
2nd Winthrop 0.2046 35.21 14.76 32.07 50.61 5.50 6.72
3rd Radford 0.2311 38.26 15.14 35.42 44.37 6.62 7.08
4th Presbyterian 0.2348 37.61 14.13 34.91 49.25 4.75 6.47
5th Campbell 0.2363 37.90 14.27 34.59 47.86 5.23 8.33
6th Charleston So. 0.2588 41.43 15.56 37.74 42.68 6.28 7.65
7th UNC Asheville 0.2594 38.89 12.95 36.10 47.76 4.25 6.57
8th Hampton 0.2723 40.35 13.12 36.99 43.47 5.61 9.35
9th USC Upstate 0.2783 41.85 14.02 38.55 41.42 6.66 9.09
10th Gardner-Webb 0.2960 43.28 13.67 39.65 40.65 5.80 9.09

Conference Strength

Description Average Remove First and Last Remove Top and Bottom 2 Remove Top and Bottom 3 Composite
Scores 1,463.3224 1,468.0424 1,468.6214 1,473.4306 1,468.3542
Difference 4.7200 5.2989 10.1081 6.7090

Point Totals

Offense Defense
Team Sets S SP SA SE SP% S/SA S/SE OS SPA SAA SEA SO% OS/SAA OS/SEA
Winthrop 103 2,224 1,148 159 166 51.62 14.0 13.4 1,916 798 128 174 58.35 15.0 11.0
UNC Asheville 90 1,813 894 115 131 49.31 15.8 13.8 1,739 803 116 179 53.82 15.0 9.7
Campbell 100 2,086 1,005 168 150 48.18 12.4 13.9 2,019 937 155 184 53.59 13.0 11.0
High Point 117 2,602 1,275 206 331 49.00 12.6 7.9 2,506 1,189 151 213 52.55 16.6 11.8
Presbyterian 100 2,162 1,070 167 164 49.49 12.9 13.2 2,108 1,037 126 192 50.81 16.7 11.0
Charleston So. 103 2,127 1,017 128 162 47.81 16.6 13.1 2,110 1,003 163 196 52.46 12.9 10.8
Radford 95 2,030 930 137 152 45.81 14.8 13.4 2,101 995 132 184 52.64 15.9 11.4
USC Upstate 101 2,058 974 140 142 47.33 14.7 14.5 2,230 1,173 183 172 47.40 12.2 13.0
Hampton 95 1,651 754 118 168 45.67 14.0 9.8 1,745 893 190 168 48.83 9.2 10.4
Gardner-Webb 84 1,578 712 105 123 45.12 15.0 12.8 2,013 1,163 164 141 42.23 12.3 14.3
Conference Average 99 2,033 978 144 169 47.93 14.3 12.6 2,049 999 151 180 51.27 13.9 11.4
  • 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 Big South

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

74.96

2019-11-02 Buies Creek, N.C.
Campbell
Winthrop
2
3
25
27
15
25
28
26
25
21
13
15
GAME

73.29

2019-11-08
Charleston So.
Presbyterian
3
2
25
18
22
25
26
28
25
23
17
15
GAME

73.27

2019-11-09 Rock Hill, SC
Winthrop
UNC Asheville
3
1
25
23
25
22
20
25
25
20
GAME

72.66

2019-11-15
UNC Asheville
Campbell
2
3
25
23
23
25
25
20
17
25
13
15
GAME

72.31

2019-09-28
High Point
Radford
3
2
31
33
22
25
25
23
25
14
15
12
GAME

71.31

2019-09-27 Rock Hill, SC
Winthrop
Presbyterian
3
1
24
26
25
12
25
22
26
24
GAME

71.21

2019-11-02
UNC Asheville
Presbyterian
3
2
25
21
19
25
18
25
25
21
16
14
GAME

70.92

2019-09-28 Rock Hill, SC
Winthrop
Charleston So.
3
1
26
24
32
34
25
17
25
16
GAME

70.58

2019-11-08 Rock Hill, SC
Winthrop
USC Upstate
3
2
25
16
23
25
30
32
25
9
15
13
GAME

70.43

2019-10-25
Presbyterian
Winthrop
0
3
24
26
19
25
24
26

HuskerGeek Big South All-Conference

1st Team

Name Team Role
A
A
A
A
A
D
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 23.5814
2 21.4464
3 18.5452
4 17.8611
5 17.5432
6 16.5245
7 16.1870
8 15.5643
9 15.3895
10 14.7271

Offensive WPA

Rk. Name Team OWPA
1 14.2169
2 12.8122
3 11.3165
4 10.2814
5 9.6308
6 9.3833
7 9.1501
8 8.8999
9 8.6146
10 8.2879

Defensive WPA

Rk. Name Team DWPA
1 20.5012
2 15.8215
3 12.9465
4 11.6940
5 11.6727
6 11.1570
7 11.1205
8 10.3481
9 9.9370
10 9.3644

WPA Per Set

Rk. Name Team WPA/S
1 0.2620
2 0.2256
3 0.2205
4 0.1974
5 0.1928
6 0.1912
7 0.1833
8 0.1704
9 0.1673
10 0.1656

Offensive WPA Per Set

Rk. Name Team OWPA/S
1 0.1580
2 0.1321
3 0.1244
4 0.1144
5 0.1130
6 0.1118
7 0.1058
8 0.1012
9 0.1009
10 0.0980

Defensive WPA Per Set

Rk. Name Team DWPA/S
1 0.1752
2 0.1631
3 0.1407
4 0.1310
5 0.1269
6 0.1227
7 0.1171
8 0.1169
9 0.1150
10 0.1112


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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