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 Cornell College 1,451.9119 1,486.1369 1,468.9247 54.78 64.46 0.189
2nd Illinois Col. 1,397.8760 1,435.1925 1,416.4114 50.60 64.52 0.115
3rd St. Norbert 1,392.8162 1,417.0236 1,404.8678 48.44 62.35 0.113
4th Grinnell 1,344.3511 1,365.8844 1,355.0750 48.45 56.95 0.065
5th Lake Forest 1,336.0483 1,361.6429 1,348.7849 47.32 59.49 0.044
6th Ripon 1,309.5342 1,335.8461 1,322.6248 47.11 56.56 0.018
7th Monmouth (IL) 1,273.1704 1,301.8558 1,287.4332 43.86 55.23 0.019
8th Lawrence 1,215.1549 1,243.7045 1,229.3468 41.79 51.25 -0.049
9th Knox 1,187.6908 1,225.7214 1,206.5563 43.24 49.25 -0.087
10th Beloit 1,181.9568 1,201.7781 1,191.8262 41.97 48.76 -0.080

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 Cornell College 0.2837 40.34 11.98 37.71 46.48 3.16 9.65
2nd St. Norbert 0.2477 38.47 13.70 35.98 46.43 3.47 8.05
3rd Illinois Col. 0.2418 36.12 11.94 33.63 52.66 3.62 7.96
4th Grinnell 0.1945 33.69 14.24 31.52 53.21 4.36 9.29
5th Monmouth (IL) 0.1839 32.49 14.10 29.87 55.74 3.89 6.68
6th Lake Forest 0.1791 34.75 16.84 32.99 51.10 4.90 9.89
7th Ripon 0.1672 32.56 15.84 30.70 53.85 4.71 9.34
8th Lawrence 0.1331 28.90 15.60 26.41 58.72 3.81 8.08
9th Knox 0.1274 28.12 15.38 26.34 60.32 5.09 8.64
10th Beloit 0.0946 28.03 18.57 26.05 59.16 4.30 6.86

ViPR Division Adjusted Defenses

Rnk. Team O_Hit% O_Kill% O_HE% O_AST% DIG% BLK% O_ACE%
1st Cornell College 0.0945 26.86 17.42 24.90 60.53 4.60 5.50
2nd Illinois Col. 0.1265 27.94 15.29 26.40 58.88 3.88 4.33
3rd Grinnell 0.1293 28.73 15.79 26.88 58.60 4.29 7.25
4th Lake Forest 0.1346 29.45 15.98 27.46 56.48 4.09 4.49
5th St. Norbert 0.1347 28.82 15.35 25.64 60.41 4.12 5.36
6th Ripon 0.1492 30.32 15.40 28.22 58.37 3.36 5.44
7th Monmouth (IL) 0.1646 32.44 15.99 29.56 55.58 3.93 8.19
8th Beloit 0.1743 33.23 15.80 31.17 51.44 5.17 8.60
9th Lawrence 0.1818 33.81 15.63 32.19 52.24 4.63 8.77
10th Knox 0.2149 35.95 14.46 33.76 53.45 2.39 9.85

Conference Strength

Description Average Remove First and Last Remove Top and Bottom 2 Remove Top and Bottom 3 Composite
Scores 1,323.1851 1,321.3875 1,324.6888 1,328.4795 1,324.4352
Difference -1.7976 1.5036 5.2944 1.6668

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. 90 1,769 886 141 154 50.09 12.5 11.5 1,462 553 85 175 62.18 17.2 8.4
Cornell College 101 2,145 1,021 166 224 47.60 12.9 9.6 1,960 829 132 156 57.70 14.8 12.6
Lake Forest 102 2,062 921 189 263 44.67 10.9 7.8 2,035 896 119 226 55.97 17.1 9.0
Grinnell 111 2,232 1,026 205 239 45.97 10.9 9.3 2,227 1,026 186 179 53.93 12.0 12.4
St. Norbert 106 1,535 661 138 180 43.06 11.1 8.5 1,535 667 154 192 56.55 10.0 8.0
Ripon 93 1,971 870 157 197 44.14 12.6 10.0 2,050 963 126 182 53.02 16.3 11.3
Monmouth (IL) 81 1,274 534 93 129 41.92 13.7 9.9 1,384 653 144 165 52.82 9.6 8.4
Knox 89 1,487 654 135 109 43.98 11.0 13.6 1,691 869 188 187 48.61 9.0 9.0
Beloit 81 1,410 606 99 127 42.98 14.2 11.1 1,674 878 163 157 47.55 10.3 10.7
Lawrence 95 1,360 540 130 202 39.71 10.5 6.7 1,626 832 207 210 48.83 7.9 7.7
Conference Average 95 1,725 772 145 182 44.41 12.0 9.8 1,764 817 150 183 53.72 12.4 9.7
  • 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 MWC

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

76.28

2018-11-02 Mount Vernon, Iowa
Cornell College
Illinois Col.
3
1
32
30
30
28
24
26
25
18
GAME

65.97

2018-11-02 Mount Vernon, Iowa
Grinnell
St. Norbert
2
3
25
23
25
20
13
25
13
25
9
15
GAME

65.27

2018-09-29 Mount Vernon, Iowa
Cornell College
St. Norbert
3
1
25
22
25
17
26
28
25
17
GAME

65.10

2018-10-12 Mount Vernon, Iowa
Cornell College
Illinois Col.
3
0
25
15
25
22
25
23
GAME

65.01

2018-11-03 Mount Vernon, Iowa
Cornell College
St. Norbert
3
1
25
18
21
25
25
19
25
20
GAME

64.84

2018-10-06 RIPON, Wis.
Ripon
Illinois Col.
1
3
28
26
18
25
18
25
21
25
GAME

64.15

2018-10-13 Grinnell, Iowa
Grinnell
Illinois Col.
3
0
25
23
25
22
25
19
GAME

63.87

2018-10-05 Lake Forest, Ill.
Lake Forest
Grinnell
3
1
26
24
26
24
22
25
25
18
GAME

63.55

2018-10-10 RIPON, Wis.
Ripon
St. Norbert
1
3
25
23
18
25
22
25
12
25
GAME

63.27

2018-10-20 Jacksonville, Ill.
Illinois Col.
Lake Forest
3
1
25
18
25
20
23
25
25
12

HuskerGeek MWC All-Conference

1st Team

Name Team Role
A
A
A
A
A
D
S

2nd Team

Name Team Role
A
A
A
A
D
S
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 22.6998
2 18.9963
3 18.4488
4 18.0013
5 17.7439
6 17.7041
7 16.5426
8 16.1900
9 16.1363
10 15.6737

Offensive WPA

Rk. Name Team OWPA
1 12.2419
2 12.0224
3 11.1271
4 11.0793
5 10.8403
6 10.7393
7 9.0334
8 8.1441
9 8.0178
10 7.1183

Defensive WPA

Rk. Name Team DWPA
1 16.5031
2 14.9454
3 14.3382
4 12.4073
5 12.2217
6 11.8586
7 10.6774
8 10.1361
9 9.8017
10 9.1293

WPA Per Set

Rk. Name Team WPA/S
1 0.2551
2 0.2466
3 0.2460
4 0.2187
5 0.2153
6 0.2021
7 0.1919
8 0.1908
9 0.1883
10 0.1760

Offensive WPA Per Set

Rk. Name Team OWPA/S
1 0.1518
2 0.1351
3 0.1302
4 0.1155
5 0.1153
6 0.1148
7 0.1131
8 0.1124
9 0.1075
10 0.0892

Defensive WPA Per Set

Rk. Name Team DWPA/S
1 0.2200
2 0.1573
3 0.1525
4 0.1496
5 0.1471
6 0.1323
7 0.1292
8 0.1275
9 0.1235
10 0.1200


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.

HuskerGeek
HuskerGeek