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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 1,451.6412 1,491.3832 1,471.3780 56.53 67.75 0.241
2nd St. Scholastica 1,403.7111 1,437.9997 1,420.7519 53.78 63.63 0.171
3rd Minn.-Morris 1,403.1822 1,430.9441 1,416.9952 52.89 63.85 0.151
4th Wis.-Superior 1,304.9478 1,326.6126 1,315.7356 50.53 56.91 0.073
5th Martin Luther 1,198.6879 1,239.1389 1,218.7456 43.54 53.36 -0.026
6th Bethany Lutheran 1,123.8145 1,176.5533 1,149.8816 39.63 48.82 -0.124
7th North Central (MN) 1,077.0079 1,112.6778 1,094.6976 41.35 42.35 -0.164
8th Northland 1,060.8070 1,100.9315 1,080.6830 38.24 43.49 -0.202
9th Crown (MN) 1,037.4028 1,071.3845 1,054.2568 37.30 41.98 -0.211

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 0.2973 40.93 11.19 37.83 48.31 3.78 8.90
2nd St. Scholastica 0.2812 38.98 10.86 35.23 46.33 4.17 6.79
3rd Minn.-Morris 0.2496 37.64 12.68 34.37 48.95 3.21 9.87
4th Wis.-Superior 0.2097 36.41 15.44 33.93 50.21 4.21 7.34
5th Martin Luther 0.1514 34.30 19.16 31.68 48.33 5.31 6.04
6th Bethany Lutheran 0.0783 30.59 22.76 28.11 50.61 5.59 8.47
7th North Central (MN) 0.0682 24.52 17.69 22.47 62.38 4.69 5.11
8th Northland 0.0240 23.43 21.03 21.26 60.68 4.51 8.18
9th Crown (MN) 0.0237 20.83 18.46 18.72 66.13 3.71 8.02

ViPR Division Adjusted Defenses

Rnk. Team O_Hit% O_Kill% O_HE% O_AST% DIG% BLK% O_ACE%
1st Northwestern-St. Paul 0.0560 24.17 18.57 22.93 62.34 6.84 4.63
2nd Minn.-Morris 0.0983 26.92 17.09 25.50 60.99 4.70 5.35
3rd St. Scholastica 0.1103 27.53 16.50 26.01 58.01 4.28 5.57
4th Wis.-Superior 0.1364 31.71 18.07 29.98 53.94 5.64 7.95
5th Martin Luther 0.1775 34.74 16.99 32.44 50.62 5.32 8.09
6th Bethany Lutheran 0.2023 36.10 15.87 33.44 52.21 3.90 8.48
7th Northland 0.2263 37.09 14.45 33.85 52.14 1.70 8.07
8th North Central (MN) 0.2325 37.69 14.44 34.98 51.30 2.13 9.37
9th Crown (MN) 0.2346 37.68 14.22 35.12 51.58 2.13 10.04

Conference Strength

Description Average Remove First and Last Remove Top and Bottom 2 Remove Top and Bottom 3 Composite
Scores 1,247.0139 1,242.4986 1,239.2111 1,228.1209 1,239.2112
Difference -4.5153 -7.8028 -18.8930 -10.4037

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 137 2,910 1,443 202 214 49.59 14.4 13.6 2,479 981 135 205 60.43 18.4 12.1
St. Scholastica 108 1,754 852 125 99 48.58 14.0 17.7 1,573 671 117 158 57.34 13.4 10.0
Minn.-Morris 103 2,319 1,096 180 191 47.26 12.9 12.1 2,145 904 119 171 57.86 18.0 12.5
Wis.-Superior 108 2,242 1,102 135 138 49.15 16.6 16.2 2,154 1,002 191 207 53.48 11.3 10.4
North Central (MN) 69 1,287 613 70 106 47.63 18.4 12.1 1,478 818 139 142 44.66 10.6 10.4
Northland 67 1,232 536 104 138 43.51 11.8 8.9 1,505 828 117 148 44.98 12.9 10.2
Martin Luther 99 1,618 643 82 86 39.74 19.7 18.8 1,989 1,026 213 210 48.42 9.3 9.5
Bethany Lutheran 80 1,470 593 110 210 40.34 13.4 7.0 1,835 969 152 179 47.19 12.1 10.3
Crown (MN) 74 1,267 516 96 128 40.73 13.2 9.9 1,725 1,000 167 161 42.03 10.3 10.7
Conference Average 94 1,789 822 123 146 45.17 14.9 12.9 1,876 911 150 176 50.71 12.9 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 UMAC

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

73.46

2015-09-19 St. Paul, Minn.
Northwestern-St. Paul
St. Scholastica
3
1
28
26
26
24
19
25
25
22
GAME

71.29

2015-11-04 St. Paul, Minn.
Northwestern-St. Paul
St. Scholastica
3
2
21
25
23
25
25
12
25
23
15
10
GAME

69.66

2015-09-18 St. Paul, Minn.
Northwestern-St. Paul
Minn.-Morris
2
3
22
25
18
25
25
16
25
22
13
15
GAME

67.79

2015-10-24 Duluth, MN
St. Scholastica
Northwestern-St. Paul
0
3
21
25
18
25
26
28
GAME

66.29

2015-10-03 Superior, Wis.
Wis.-Superior
Minn.-Morris
1
3
25
19
26
28
22
25
18
25
GAME

65.82

2015-09-26 Morris, Minn.
Minn.-Morris
St. Scholastica
3
0
29
27
25
19
25
19
GAME

64.99

2015-11-07 St. Paul, Minn.
Northwestern-St. Paul
Minn.-Morris
3
1
25
13
17
25
25
22
25
18
GAME

63.84

2015-10-07 Superior, Wis.
Wis.-Superior
St. Scholastica
3
2
17
25
18
25
25
22
25
18
15
11
GAME

62.87

2015-09-19 St. Paul, Minn.
Martin Luther
Minn.-Morris
2
3
25
21
18
25
30
28
17
25
13
15
GAME

62.52

2015-10-28 St. Paul, Minn.
Northwestern-St. Paul
Minn.-Morris
3
0
25
17
25
18
25
19

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
5

Defensive Player of the Year

Rank Name Team
1
2
3
4
5

WPA

Rk. Name Team WPA
1 32.4651
2 21.1329
3 20.2378
4 18.4266
5 18.3807
6 17.2911
7 16.7802
8 15.3372
9 14.5657
10 13.8790

Offensive WPA

Rk. Name Team OWPA
1 13.6567
2 12.2930
3 12.2151
4 11.1118
5 10.8005
6 8.4988
7 8.3748
8 7.8103
9 7.6266
10 7.4697

Defensive WPA

Rk. Name Team DWPA
1 18.8084
2 17.2713
3 14.8244
4 12.2904
5 9.9278
6 9.1866
7 8.9177
8 7.9448
9 7.8693
10 7.6113

WPA Per Set

Rk. Name Team WPA/S
1 0.2536
2 0.2457
3 0.2052
4 0.1965
5 0.1820
6 0.1565
7 0.1461
8 0.1436
9 0.1428
10 0.1361

Offensive WPA Per Set

Rk. Name Team OWPA/S
1 0.1193
2 0.1186
3 0.1137
4 0.1133
5 0.1067
6 0.0889
7 0.0853
8 0.0798
9 0.0766
10 0.0690

Defensive WPA Per Set

Rk. Name Team DWPA/S
1 0.1469
2 0.1453
3 0.1349
4 0.1324
5 0.1294
6 0.1039
7 0.0960
8 0.0954
9 0.0938
10 0.0934


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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