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2023-2024 HuskerGeek Ratings Leaders

Sport School Rating
ViPR D1 Volleyball Wisconsin 1,711.3731

MVC - Conference Overview

Conference Division: Division 1
Rnk. Team Résumé Recent ViPR Adj SP% Adj SO% Adj. Hit Mar.
1st UNI 1,655.4791 1,623.8264 1,639.5764 51.45 58.91 0.102
2nd Illinois St. 1,637.1856 1,607.3406 1,622.1945 48.79 60.10 0.081
3rd Loyola Chicago 1,628.6517 1,596.6173 1,612.5549 48.93 58.09 0.063
4th Bradley 1,580.8610 1,545.7979 1,563.2311 45.34 57.07 0.007
5th Valparaiso 1,571.5539 1,536.5307 1,553.9437 48.41 52.35 -0.025
6th Drake 1,523.3659 1,491.3248 1,507.2602 43.52 54.21 -0.036
7th Missouri St. 1,523.9791 1,486.8521 1,505.3011 41.83 54.90 -0.040
8th Southern Ill. 1,522.4714 1,487.6293 1,504.9495 47.03 50.88 -0.046
9th Evansville 1,521.4122 1,488.1310 1,504.6796 42.60 56.01 -0.042
10th Indiana St. 1,507.8308 1,476.7991 1,492.2343 46.06 50.62 -0.040

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 UNI 0.2614 39.25 13.11 36.00 46.35 4.64 6.29
2nd Illinois St. 0.2414 40.33 16.19 37.64 42.74 6.42 7.07
3rd Loyola Chicago 0.2380 38.52 14.72 35.94 46.32 5.69 7.81
4th Bradley 0.2054 33.58 13.04 31.24 53.60 5.27 6.43
5th Southern Ill. 0.1861 32.21 13.60 30.00 53.21 5.56 6.37
6th Drake 0.1858 31.95 13.37 29.96 55.28 5.74 5.79
7th Evansville 0.1835 33.70 15.35 31.47 52.07 5.98 5.58
8th Missouri St. 0.1834 36.54 18.19 33.97 46.84 7.35 5.87
9th Valparaiso 0.1752 32.50 14.98 30.15 50.54 6.53 5.84
10th Indiana St. 0.1719 32.42 15.22 30.38 51.81 6.11 5.49

ViPR Division Adjusted Defenses

Rnk. Team O_Hit% O_Kill% O_HE% O_AST% DIG% BLK% O_ACE%
1st UNI 0.1589 29.96 14.07 28.43 57.11 5.30 4.90
2nd Illinois St. 0.1599 31.02 15.02 28.87 53.60 6.52 5.41
3rd Loyola Chicago 0.1746 32.72 15.26 30.88 52.24 6.33 7.44
4th Bradley 0.1987 33.32 13.46 31.04 53.29 4.97 4.83
5th Valparaiso 0.2006 34.35 14.29 32.13 50.75 5.31 5.05
6th Indiana St. 0.2117 34.88 13.71 32.13 52.07 4.63 7.07
7th Drake 0.2220 37.21 15.01 35.58 48.70 4.94 7.53
8th Missouri St. 0.2232 37.03 14.71 34.57 48.19 6.14 7.10
9th Evansville 0.2251 35.27 12.76 33.25 53.37 4.00 5.30
10th Southern Ill. 0.2322 35.90 12.68 33.45 51.66 3.96 7.16

Conference Strength

Description Average Remove First and Last Remove Top and Bottom 2 Remove Top and Bottom 3 Composite
Scores 1,550.5925 1,546.7643 1,541.2068 1,532.4340 1,542.7494
Difference -3.8282 -9.3858 -18.1585 -10.4575

Point Totals

Offense Defense
Team Sets S SP SA SE SP% S/SA S/SE OS SPA SAA SEA SO% OS/SAA OS/SEA
UNI 122 2,712 1,393 156 258 51.36 17.4 10.5 2,407 1,059 126 183 56.00 19.1 13.2
Loyola Chicago 120 2,649 1,286 192 208 48.55 13.8 12.7 2,430 1,063 168 202 56.26 14.5 12.0
Illinois St. 125 2,521 1,194 180 233 47.36 14.0 10.8 2,311 986 143 248 57.33 16.2 9.3
Bradley 119 2,600 1,169 158 183 44.96 16.5 14.2 2,578 1,154 114 186 55.24 22.6 13.9
Evansville 117 2,475 1,099 142 221 44.40 17.4 11.2 2,514 1,113 123 191 55.73 20.4 13.2
Valparaiso 123 2,660 1,290 143 166 48.50 18.6 16.0 2,698 1,324 122 204 50.93 22.1 13.2
Southern Ill. 134 2,841 1,374 177 246 48.36 16.1 11.5 2,952 1,461 198 273 50.51 14.9 10.8
Drake 125 2,650 1,177 143 213 44.42 18.5 12.4 2,799 1,305 206 268 53.38 13.6 10.4
Indiana St. 103 2,092 946 107 154 45.22 19.6 13.6 2,297 1,170 168 195 49.06 13.7 11.8
Missouri St. 130 2,700 1,117 149 304 41.37 18.1 8.9 2,939 1,390 198 251 52.71 14.8 11.7
Conference Average 122 2,590 1,205 155 219 46.45 17.0 12.2 2,593 1,203 157 220 53.71 17.2 11.9
  • 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 MVC

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

80.24

2019-10-12
UNI
Illinois St.
2
3
25
23
21
25
25
22
24
26
17
19
GAME

80.17

2019-10-12 Des Moines, Iowa
Drake
Bradley
1
3
27
29
24
26
27
25
13
25
GAME

79.79

2019-11-09 Peoria, Ill.
Bradley
UNI
2
3
25
16
25
27
28
26
20
25
11
15
GAME

78.76

2019-09-27 Peoria, Ill.
Bradley
Southern Ill.
2
3
22
25
25
23
24
26
25
22
11
15
GAME

77.70

2019-11-08 Normal, Ill.
Illinois St.
UNI
1
3
25
22
24
26
26
28
12
24
GAME

76.73

2019-11-22
UNI
Loyola Chicago
3
1
25
23
20
25
25
22
25
18
GAME

76.40

2019-10-04 Peoria, Ill.
Bradley
Illinois St.
3
2
18
25
25
21
26
24
11
25
15
10
GAME

76.21

2019-09-30 Chicago, Ill.
Loyola Chicago
Drake
3
1
27
25
25
23
26
28
25
18
GAME

75.47

2019-10-18
UNI
Drake
3
0
25
18
27
25
26
24
GAME

75.31

2019-11-15
Valparaiso
Illinois St.
2
3
25
19
25
22
25
27
19
25
8
15

HuskerGeek MVC All-Conference

1st Team

Name Team Role
A
A
A
A
D
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 32.8332
2 29.8332
3 29.7338
4 25.6191
5 25.2416
6 25.1199
7 25.0665
8 24.9445
9 24.8868
10 24.0518

Offensive WPA

Rk. Name Team OWPA
1 20.4592
2 14.8785
3 14.5986
4 14.5812
5 14.5754
6 14.2930
7 13.7645
8 12.9796
9 12.8500
10 12.1759

Defensive WPA

Rk. Name Team DWPA
1 23.1383
2 21.3073
3 20.4022
4 20.2955
5 19.0687
6 18.1706
7 18.0006
8 17.3957
9 15.1526
10 13.1864

WPA Per Set

Rk. Name Team WPA/S
1 0.2759
2 0.2679
3 0.2572
4 0.2303
5 0.2288
6 0.2247
7 0.2214
8 0.2183
9 0.2005
10 0.1949

Offensive WPA Per Set

Rk. Name Team OWPA/S
1 0.1764
2 0.1458
3 0.1339
4 0.1314
5 0.1279
6 0.1190
7 0.1157
8 0.1057
9 0.1045
10 0.1045

Defensive WPA Per Set

Rk. Name Team DWPA/S
1 0.2030
2 0.1790
3 0.1740
4 0.1732
5 0.1677
6 0.1602
7 0.1594
8 0.1463
9 0.1420
10 0.1365


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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