Nerdly Nebraska.

2023-2024 HuskerGeek Ratings Leaders

Sport School Rating
ViPR D1 Volleyball Wisconsin 1,711.3731

MWC - Conference Overview

Conference Division: Division 3
Rnk. Team Résumé Recent ViPR Adj SP% Adj SO% Adj. Hit Mar.
1st Grinnell 1,479.5492 1,444.9813 1,462.1631 58.40 56.72 0.170
2nd St. Norbert 1,465.1573 1,435.6995 1,450.3536 55.28 60.26 0.172
3rd Cornell College 1,467.7564 1,428.4232 1,447.9562 55.50 59.10 0.150
4th Illinois Col. 1,466.4771 1,427.6394 1,446.9279 55.93 58.07 0.144
5th Lake Forest 1,372.8429 1,337.6547 1,355.1346 51.01 57.25 0.065
6th Monmouth (IL) 1,346.3740 1,306.2848 1,326.1779 52.32 52.67 0.045
7th Ripon 1,304.9788 1,270.2835 1,287.5143 55.10 52.17 0.000
8th Knox 1,277.2604 1,245.0517 1,261.0532 45.36 49.28 -0.019
9th Beloit 1,252.2355 1,224.1384 1,238.1073 46.28 49.78 -0.040
10th Lawrence 1,245.7177 1,211.5982 1,228.5395 46.14 48.93 -0.097

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 St. Norbert 0.2773 41.11 13.38 38.47 44.45 3.63 9.84
2nd Illinois Col. 0.2570 38.39 12.69 35.57 47.12 2.81 8.28
3rd Grinnell 0.2514 37.79 12.66 33.10 46.04 3.77 10.43
4th Cornell College 0.2418 37.12 12.94 33.44 51.04 3.04 11.15
5th Monmouth (IL) 0.1969 30.78 11.10 28.04 55.92 3.50 8.17
6th Lake Forest 0.1888 32.97 14.09 30.74 53.23 3.60 9.02
7th Ripon 0.1841 33.45 15.04 30.78 53.14 5.13 8.46
8th Beloit 0.1557 29.14 13.57 26.81 59.35 3.49 7.80
9th Knox 0.1498 30.11 15.13 27.53 59.14 4.18 7.40
10th Lawrence 0.1339 31.08 17.69 28.45 55.15 4.98 10.23

ViPR Division Adjusted Defenses

Rnk. Team O_Hit% O_Kill% O_HE% O_AST% DIG% BLK% O_ACE%
1st Grinnell 0.0815 23.56 15.41 21.17 62.19 3.88 6.94
2nd Cornell College 0.0923 26.32 17.09 25.09 60.15 5.09 6.44
3rd St. Norbert 0.1055 27.16 16.60 25.43 59.52 4.24 7.36
4th Illinois Col. 0.1130 27.90 16.60 26.24 57.25 4.47 5.97
5th Lake Forest 0.1235 28.26 15.91 26.67 58.56 3.54 7.39
6th Monmouth (IL) 0.1516 30.33 15.17 28.62 52.27 3.72 7.97
7th Knox 0.1685 31.33 14.48 28.67 55.61 4.52 11.45
8th Ripon 0.1844 33.30 14.86 30.51 53.19 3.98 8.31
9th Beloit 0.1955 33.28 13.73 31.44 55.69 3.50 9.35
10th Lawrence 0.2310 37.98 14.89 35.28 48.49 3.69 10.86

Conference Strength

Description Average Remove First and Last Remove Top and Bottom 2 Remove Top and Bottom 3 Composite
Scores 1,350.3928 1,351.6531 1,354.1274 1,353.9387 1,352.5280
Difference 1.2604 3.7346 3.5459 2.8469

Point Totals

Offense Defense
Team Sets S SP SA SE SP% S/SA S/SE OS SPA SAA SEA SO% OS/SAA OS/SEA
Illinois Col. 101 1,907 1,016 155 186 53.28 12.3 10.3 1,693 789 142 175 53.40 11.9 9.7
Grinnell 99 1,838 1,009 210 249 54.90 8.8 7.4 1,598 776 143 168 51.44 11.2 9.5
Lake Forest 96 2,143 1,115 156 206 52.03 13.7 10.4 1,944 902 157 210 53.60 12.4 9.3
St. Norbert 124 2,770 1,400 218 226 50.54 12.7 12.3 2,513 1,161 197 267 53.80 12.8 9.4
Cornell College 106 2,157 1,101 218 222 51.04 9.9 9.7 2,055 972 148 187 52.70 13.9 11.0
Ripon 92 1,710 944 131 182 55.21 13.1 9.4 1,632 842 167 175 48.41 9.8 9.3
Beloit 99 1,582 823 134 170 52.02 11.8 9.3 1,613 853 200 196 47.12 8.1 8.2
Monmouth (IL) 98 1,733 864 145 132 49.86 12.0 13.1 1,802 929 181 180 48.45 10.0 10.0
Knox 87 1,428 656 110 126 45.94 13.0 11.3 1,626 870 226 176 46.49 7.2 9.2
Lawrence 91 1,490 668 146 164 44.83 10.2 9.1 1,824 1,003 233 195 45.01 7.8 9.4
Conference Average 99 1,876 960 162 186 50.96 11.7 10.2 1,830 910 179 193 50.04 10.5 9.5
  • 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 MWC

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

71.39

2019-10-26
Monmouth (IL)
Grinnell
2
3
22
25
21
25
25
22
25
23
16
18
GAME

70.03

2019-10-04
Illinois Col.
St. Norbert
2
3
25
22
24
26
25
22
21
25
6
15
GAME

68.64

2019-10-26
Illinois Col.
Cornell College
2
3
21
25
25
23
25
23
21
25
7
15
GAME

68.20

2019-10-30
Grinnell
Cornell College
3
2
25
17
25
15
14
25
21
25
17
15
GAME

67.41

2019-10-18
St. Norbert
Grinnell
3
0
25
20
25
21
27
25
GAME

66.83

2019-10-19
St. Norbert
Cornell College
1
3
16
25
22
25
25
19
23
25
GAME

66.24

2019-11-08 Mount Vernon, Iowa
Cornell College
Grinnell
1
3
23
25
25
21
23
25
16
25
GAME

66.22

2019-11-09 Mount Vernon, Iowa
St. Norbert
Grinnell
2
3
25
21
21
25
25
15
21
25
10
15
GAME

66.21

2019-10-18 Lake Forest, Ill.
Lake Forest
Monmouth (IL)
3
2
24
26
27
25
24
26
25
18
15
7
GAME

66.00

2019-09-25 Mount Vernon, Iowa
Cornell College
Monmouth (IL)
3
1
22
25
25
16
25
22
25
23

HuskerGeek MWC 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 22.4776
2 21.5553
3 18.7400
4 18.5494
5 18.3683
6 18.1953
7 16.4111
8 15.5956
9 15.5233
10 15.3279

Offensive WPA

Rk. Name Team OWPA
1 14.0252
2 12.1551
3 11.8007
4 10.4199
5 9.9540
6 9.6951
7 9.1795
8 8.7616
9 8.6418
10 8.3201

Defensive WPA

Rk. Name Team DWPA
1 17.4429
2 17.1444
3 15.1927
4 13.4641
5 13.1050
6 12.7825
7 11.6881
8 10.9058
9 10.1236
10 9.7266

WPA Per Set

Rk. Name Team WPA/S
1 0.2564
2 0.2385
3 0.2182
4 0.1996
5 0.1940
6 0.1938
7 0.1912
8 0.1902
9 0.1856
10 0.1842

Offensive WPA Per Set

Rk. Name Team OWPA/S
1 0.1430
2 0.1353
3 0.1199
4 0.1174
5 0.1147
6 0.1044
7 0.1016
8 0.1015
9 0.1005
10 0.1002

Defensive WPA Per Set

Rk. Name Team DWPA/S
1 0.2374
2 0.1749
3 0.1642
4 0.1615
5 0.1498
6 0.1440
7 0.1416
8 0.1258
9 0.1158
10 0.1144


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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