Nerdly Nebraska.

2023-2024 HuskerGeek Ratings Leaders

Sport School Rating
ViPR D1 Volleyball Wisconsin 1,711.3731

UMAC - Conference Overview

Conference Division: Division 3
Rnk. Team Résumé Recent ViPR Adj SP% Adj SO% Adj. Hit Mar.
1st Northwestern-St. Paul 1,525.9000 1,550.7816 1,538.2905 61.03 70.23 0.294
2nd Minn.-Morris 1,390.9497 1,421.4938 1,406.1388 54.55 61.83 0.122
3rd St. Scholastica 1,336.4714 1,366.4832 1,351.3940 50.29 61.74 0.123
4th Martin Luther 1,248.7994 1,295.0256 1,271.7025 46.94 55.92 0.033
5th Wis.-Superior 1,228.2432 1,277.0916 1,252.4293 46.16 53.49 0.004
6th Bethany Lutheran 1,198.1252 1,248.2084 1,222.9104 44.38 51.84 -0.041
7th North Central (MN) 1,106.4861 1,161.6574 1,133.7362 42.88 48.34 -0.108
8th Northland 1,086.2751 1,147.8828 1,116.6541 41.45 45.01 -0.156
9th Crown (MN) 1,066.6740 1,110.4738 1,088.3536 39.86 44.50 -0.161

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 Northwestern-St. Paul 0.3255 43.20 10.65 40.02 45.37 2.80 7.88
2nd St. Scholastica 0.2364 36.57 12.93 34.30 50.29 4.82 8.94
3rd Minn.-Morris 0.2130 36.35 15.05 33.22 48.08 5.15 9.49
4th Martin Luther 0.1927 34.85 15.58 31.93 49.66 5.29 5.33
5th Wis.-Superior 0.1739 33.45 16.06 31.26 55.65 4.12 8.56
6th Bethany Lutheran 0.1331 30.66 17.36 28.33 54.15 4.10 7.69
7th North Central (MN) 0.0761 26.48 18.87 25.02 64.82 5.86 6.35
8th Northland 0.0740 25.12 17.72 23.36 62.74 4.53 7.63
9th Crown (MN) 0.0647 25.62 19.15 23.57 61.38 3.52 8.23

ViPR Division Adjusted Defenses

Rnk. Team O_Hit% O_Kill% O_HE% O_AST% DIG% BLK% O_ACE%
1st Northwestern-St. Paul 0.0310 22.03 18.93 20.39 63.18 6.91 3.80
2nd Minn.-Morris 0.0907 25.35 16.28 22.91 62.44 3.66 3.89
3rd St. Scholastica 0.1138 28.00 16.62 26.01 57.43 5.33 7.84
4th Martin Luther 0.1595 32.71 16.76 29.83 50.03 5.96 7.37
5th Wis.-Superior 0.1703 32.30 15.27 30.33 54.36 3.75 8.93
6th Bethany Lutheran 0.1736 33.04 15.69 30.26 53.77 4.15 8.59
7th North Central (MN) 0.1841 33.24 14.83 30.77 52.44 2.32 9.50
8th Crown (MN) 0.2262 36.99 14.38 33.83 50.38 2.13 10.35
9th Northland 0.2303 36.07 13.04 33.28 52.08 2.69 8.37

Conference Strength

Description Average Remove First and Last Remove Top and Bottom 2 Remove Top and Bottom 3 Composite
Scores 1,264.6233 1,250.7093 1,246.4345 1,249.0141 1,252.6953
Difference -13.9139 -18.1888 -15.6092 -15.9040

Point Totals

Offense Defense
Team Sets S SP SA SE SP% S/SA S/SE OS SPA SAA SEA SO% OS/SAA OS/SEA
Northwestern-St. Paul 135 2,926 1,567 174 159 53.55 16.8 18.4 2,265 865 122 172 61.81 18.6 13.2
Minn.-Morris 104 1,958 945 167 152 48.26 11.7 12.9 1,864 838 111 164 55.04 16.8 11.4
St. Scholastica 95 1,487 694 137 160 46.67 10.9 9.3 1,416 620 169 179 56.22 8.4 7.9
Martin Luther 122 1,881 840 103 82 44.66 18.3 22.9 2,016 983 227 237 51.24 8.9 8.5
Bethany Lutheran 96 1,667 757 139 188 45.41 12.0 8.9 1,811 906 184 228 49.97 9.8 7.9
Wis.-Superior 103 1,816 801 151 130 44.11 12.0 14.0 2,032 1,031 205 158 49.26 9.9 12.9
North Central (MN) 75 1,238 558 83 134 45.07 14.9 9.2 1,396 726 179 164 47.99 7.8 8.5
Northland 93 1,591 676 137 134 42.49 11.6 11.9 2,000 1,117 192 197 44.15 10.4 10.2
Crown (MN) 87 1,555 635 121 176 40.84 12.9 8.8 2,074 1,190 217 176 42.62 9.6 11.8
Conference Average 101 1,791 830 135 146 45.67 13.5 12.9 1,875 920 178 186 50.92 11.1 10.2
  • 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 UMAC

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

70.36

2016-10-26 Morris, Minn.
Minn.-Morris
Northwestern-St. Paul
0
3
23
25
19
25
25
27
GAME

67.72

2016-11-05 St. Paul, Minn.
Northwestern-St. Paul
Minn.-Morris
3
0
25
18
25
22
25
21
GAME

66.34

2016-09-17 Morris, Minn.
Minn.-Morris
St. Scholastica
3
1
25
14
26
28
25
23
25
20
GAME

66.22

2016-09-24 Duluth, MN
St. Scholastica
Minn.-Morris
0
3
31
33
28
30
21
25
GAME

63.35

2016-10-18 Superior, WI
Wis.-Superior
Northwestern-St. Paul
1
3
16
25
14
25
25
18
11
25
GAME

62.95

2016-09-16 Morris, Minn.
Minn.-Morris
Northwestern-St. Paul
1
3
25
18
11
25
22
25
13
25
GAME

62.62

2016-09-16 Morris, Minn.
Northwestern-St. Paul
St. Scholastica
3
0
25
22
25
14
25
17
GAME

62.46

2016-10-28 St. Paul, Minn.
Northwestern-St. Paul
Martin Luther
3
0
25
15
25
22
25
12
GAME

62.37

2016-10-22 St. Paul, Minn.
Northwestern-St. Paul
St. Scholastica
3
0
25
22
25
12
25
18
GAME

62.08

2016-11-02 St. Paul, Minn.
Northwestern-St. Paul
Martin Luther
3
0
25
12
25
22
25
12

HuskerGeek UMAC All-Conference

1st Team

Name Team Role
A
A
A
A
D
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

Defensive Player of the Year

Rank Name Team
1
2
3
4
5

WPA

Rk. Name Team WPA
1 34.1277
2 24.1258
3 17.5077
4 16.7744
5 16.6569
6 16.5817
7 15.4016
8 15.0358
9 14.6524
10 14.2944

Offensive WPA

Rk. Name Team OWPA
1 17.2844
2 14.1496
3 11.9141
4 11.0729
5 10.9681
6 8.1727
7 8.0660
8 7.6192
9 7.2155
10 7.0137

Defensive WPA

Rk. Name Team DWPA
1 16.9222
2 16.8433
3 16.5843
4 14.1466
5 11.2099
6 9.9762
7 9.7851
8 9.7052
9 9.6672
10 9.5679

WPA Per Set

Rk. Name Team WPA/S
1 0.2773
2 0.2730
3 0.2237
4 0.1983
5 0.1855
6 0.1692
7 0.1634
8 0.1555
9 0.1471
10 0.1426

Offensive WPA Per Set

Rk. Name Team OWPA/S
1 0.1626
2 0.1476
3 0.1383
4 0.0953
5 0.0898
6 0.0885
7 0.0880
8 0.0877
9 0.0866
10 0.0833

Defensive WPA Per Set

Rk. Name Team DWPA/S
1 0.2015
2 0.1791
3 0.1443
4 0.1394
5 0.1347
6 0.1347
7 0.1246
8 0.1193
9 0.1147
10 0.1132


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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