Nerdly Nebraska.

2019-2020 HuskerGeek Ratings Leaders

Sport School Rating
ViPR D1 Volleyball Stanford 1,789.9969

Football ohio st 12.8582
Ice Hockey providence 7.9735
Men's Soccer smu 11.4406
Women's Soccer north carolina 12.2707
Women's Volleyball baylor 12.1306
Field Hockey north carolina 12.7413

MWC - Conference Overview

Conference Division: Division 3
Rnk. Team Résumé Recent ViPR Adj SP% Adj SO% Adj. Hit Mar.
1st St. Norbert 1,467.0738 1,446.8904 1,456.9472 55.47 60.80 0.183
2nd Grinnell 1,463.4590 1,440.8461 1,452.1085 60.75 56.19 0.184
3rd Cornell College 1,425.9722 1,402.4323 1,414.1533 53.59 58.48 0.137
4th Illinois Col. 1,422.6419 1,399.7888 1,411.1691 53.34 59.09 0.138
5th Lake Forest 1,348.1746 1,325.1549 1,336.6152 50.82 57.77 0.060
6th Monmouth (IL) 1,304.0419 1,280.1636 1,292.0476 51.88 51.19 0.035
7th Knox 1,274.6983 1,253.4951 1,264.0522 47.30 48.52 -0.009
8th Beloit 1,260.9887 1,242.4225 1,251.6712 46.37 52.26 -0.029
9th Ripon 1,257.9049 1,242.0825 1,249.9687 50.18 51.01 -0.007
10th Lawrence 1,237.8449 1,215.7735 1,226.7596 46.70 49.90 -0.083

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 0.2841 41.72 13.31 39.12 44.35 3.41 10.32
2nd Grinnell 0.2635 38.37 12.02 32.97 42.44 3.33 11.01
3rd Illinois Col. 0.2592 38.30 12.38 35.53 47.99 2.47 7.22
4th Cornell College 0.2355 37.05 13.51 33.30 50.37 3.00 10.67
5th Monmouth (IL) 0.2147 32.25 10.77 29.22 54.21 3.22 7.45
6th Lake Forest 0.1903 32.69 13.65 30.36 53.52 3.86 9.42
7th Ripon 0.1813 33.36 15.22 30.59 53.67 5.46 8.01
8th Beloit 0.1723 30.34 13.11 28.47 58.70 3.85 7.73
9th Knox 0.1588 30.78 14.90 27.77 58.42 4.22 7.90
10th Lawrence 0.1358 30.31 16.73 27.77 56.68 4.29 9.58

ViPR Division Adjusted Defenses

Rnk. Team O_Hit% O_Kill% O_HE% O_AST% DIG% BLK% O_ACE%
1st Grinnell 0.0794 23.44 15.50 20.88 60.82 3.87 7.21
2nd Cornell College 0.0989 27.35 17.46 26.34 58.92 4.83 6.25
3rd St. Norbert 0.1013 26.77 16.64 24.98 59.70 3.93 7.56
4th Illinois Col. 0.1213 28.47 16.34 27.07 57.20 4.24 4.71
5th Lake Forest 0.1306 29.08 16.02 27.29 58.76 3.39 7.31
6th Knox 0.1674 31.63 14.89 28.77 55.69 4.57 10.97
7th Monmouth (IL) 0.1797 31.95 13.98 29.78 47.87 3.73 8.03
8th Ripon 0.1884 33.88 15.04 31.00 52.84 3.97 9.07
9th Beloit 0.2008 34.06 13.97 32.25 56.61 3.53 7.75
10th Lawrence 0.2190 37.22 15.32 34.48 49.18 3.60 10.58

Conference Strength

Description Average Remove First and Last Remove Top and Bottom 2 Remove Top and Bottom 3 Composite
Scores 1,335.5492 1,333.9732 1,328.2847 1,325.9710 1,330.9446
Difference -1.5760 -7.2645 -9.5782 -6.1396

Point Totals

Offense Defense
Team Sets S SP SA SE SP% S/SA S/SE OS SPA SAA SEA SO% OS/SAA OS/SEA
Grinnell 61 999 592 146 162 59.26 6.8 6.2 787 376 85 110 52.22 9.3 7.2
Beloit 68 1,020 585 101 128 57.35 10.1 8.0 875 422 124 140 51.77 7.1 6.3
Illinois Col. 67 1,138 581 92 124 51.05 12.4 9.2 1,028 464 89 127 54.86 11.6 8.1
Lake Forest 70 1,546 801 109 155 51.81 14.2 10.0 1,416 652 115 163 53.96 12.3 8.7
St. Norbert 90 2,003 1,005 165 163 50.18 12.1 12.3 1,793 814 143 203 54.60 12.5 8.8
Cornell College 70 1,368 691 142 163 50.51 9.6 8.4 1,298 610 94 130 53.01 13.8 10.0
Ripon 73 1,393 775 89 144 55.64 15.7 9.7 1,331 696 148 143 47.71 9.0 9.3
Monmouth (IL) 60 910 449 79 82 49.34 11.5 11.1 961 503 114 108 47.66 8.4 8.9
Knox 71 1,138 539 97 98 47.36 11.7 11.6 1,259 673 182 144 46.55 6.9 8.7
Lawrence 73 1,182 546 113 137 46.19 10.5 8.6 1,384 740 181 158 46.53 7.6 8.8
Conference Average 70 1,270 656 113 136 51.87 11.5 9.5 1,213 595 128 143 50.89 9.9 8.5
  • 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

69.44

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

64.64

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

62.77

2019-09-06
Grinnell
Cornell College
3
0
25
20
25
17
25
22
GAME

62.17

2019-09-28 Lake Forest, Ill.
Lake Forest
Illinois Col.
1
3
20
25
25
18
22
25
19
25
GAME

61.66

2019-09-28
St. Norbert
Monmouth (IL)
3
1
25
14
18
25
25
16
25
21
GAME

61.27

2019-09-28
Beloit
Knox
0
3
17
25
25
27
23
25
GAME

60.96

2019-10-04
Grinnell
Lake Forest
3
1
24
26
25
17
25
21
25
20
GAME

60.03

2019-10-01
Monmouth (IL)
Illinois Col.
0
3
19
25
23
25
24
26
GAME

59.80

2019-10-05 Mount Vernon, Iowa
Cornell College
Lake Forest
3
0
25
19
25
18
25
16
GAME

59.45

2019-10-04
Monmouth (IL)
Ripon
3
2
21
25
25
20
19
25
25
21
15
11

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 15.8917
2 15.2160
3 13.7531
4 11.3873
5 11.1103
6 10.7729
7 10.3643
8 10.1641
9 9.6662
10 9.1925

Offensive WPA

Rk. Name Team OWPA
1 10.1006
2 9.1899
3 6.4982
4 6.3224
5 6.2838
6 5.9336
7 5.7243
8 5.6795
9 5.4391
10 5.4072

Defensive WPA

Rk. Name Team DWPA
1 13.2033
2 10.3691
3 10.0490
4 9.1898
5 8.7178
6 8.6619
7 6.2119
8 6.0486
9 5.9882
10 5.8988

WPA Per Set

Rk. Name Team WPA/S
1 0.2460
2 0.2372
3 0.2203
4 0.2089
5 0.1998
6 0.1993
7 0.1916
8 0.1884
9 0.1856
10 0.1827

Offensive WPA Per Set

Rk. Name Team OWPA/S
1 0.1545
2 0.1351
3 0.1244
4 0.1240
5 0.1236
6 0.1161
7 0.1107
8 0.1042
9 0.1041
10 0.1014

Defensive WPA Per Set

Rk. Name Team DWPA/S
1 0.2094
2 0.1672
3 0.1591
4 0.1414
5 0.1375
6 0.1375
7 0.1323
8 0.1257
9 0.1214
10 0.1157


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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