Nerdly Nebraska.

2023-2024 HuskerGeek Ratings Leaders

Sport School Rating
ViPR D1 Volleyball Wisconsin 1,711.3731

Summit League - Conference Overview

Conference Division: Division 1
Rnk. Team Résumé Recent ViPR Adj SP% Adj SO% Adj. Hit Mar.
1st Denver 1,592.2568 1,557.5710 1,574.8184 48.37 62.72 0.116
2nd South Dakota 1,539.4392 1,513.6615 1,526.4959 46.47 59.23 0.036
3rd Purdue Fort Wayne 1,490.8671 1,461.7239 1,476.2236 39.19 60.72 0.001
4th Omaha 1,480.9962 1,450.1919 1,465.5131 40.40 58.61 0.012
5th Oral Roberts 1,448.6858 1,418.3767 1,433.4512 38.54 56.42 -0.054
6th North Dakota 1,442.9195 1,412.1577 1,427.4557 40.02 55.70 -0.046
7th North Dakota St. 1,439.5543 1,409.3734 1,424.3839 39.98 54.09 -0.080
8th South Dakota St. 1,390.6697 1,359.5908 1,375.0424 38.05 52.46 -0.102
9th Western Ill. 1,371.8507 1,349.6058 1,360.6828 37.42 50.84 -0.117

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 Denver 0.2711 41.70 14.59 38.64 43.21 5.54 8.70
2nd Omaha 0.2189 37.13 15.24 34.92 47.55 5.37 7.23
3rd South Dakota 0.2158 34.19 12.61 31.81 51.41 4.91 7.02
4th Purdue Fort Wayne 0.2016 35.38 15.23 33.34 50.10 6.30 4.77
5th North Dakota 0.1862 32.77 14.16 30.79 54.58 5.17 5.13
6th Oral Roberts 0.1703 31.56 14.53 29.94 54.82 6.08 3.87
7th South Dakota St. 0.1580 32.35 16.55 30.31 54.33 6.33 5.78
8th Western Ill. 0.1432 30.98 16.66 28.81 54.62 6.29 6.71
9th North Dakota St. 0.1365 30.58 16.93 28.18 55.42 5.73 6.60

ViPR Division Adjusted Defenses

Rnk. Team O_Hit% O_Kill% O_HE% O_AST% DIG% BLK% O_ACE%
1st Denver 0.1554 34.11 18.56 31.11 51.15 7.21 3.99
2nd South Dakota 0.1798 32.36 14.38 30.15 54.34 4.45 4.38
3rd Purdue Fort Wayne 0.2010 35.45 15.35 33.23 50.49 5.19 3.78
4th Omaha 0.2065 36.43 15.78 33.93 47.58 6.14 5.92
5th North Dakota St. 0.2168 37.07 15.39 34.27 49.92 6.07 5.88
6th Oral Roberts 0.2247 36.38 13.91 34.03 50.27 5.39 5.54
7th North Dakota 0.2326 37.49 14.23 34.40 49.39 5.12 5.22
8th South Dakota St. 0.2602 41.10 15.08 38.53 44.29 5.66 6.44
9th Western Ill. 0.2603 41.42 15.39 37.99 44.37 5.68 6.59

Conference Strength

Description Average Remove First and Last Remove Top and Bottom 2 Remove Top and Bottom 3 Composite
Scores 1,451.5630 1,446.9380 1,445.4055 1,442.1400 1,446.5116
Difference -4.6250 -6.1575 -9.4230 -6.7352

Point Totals

Offense Defense
Team Sets S SP SA SE SP% S/SA S/SE OS SPA SAA SEA SO% OS/SAA OS/SEA
Denver 110 2,576 1,266 219 253 49.15 11.8 10.2 2,169 819 100 152 62.24 21.7 14.3
South Dakota 111 2,545 1,200 170 188 47.15 15.0 13.5 2,301 946 113 185 58.89 20.4 12.4
Purdue Fort Wayne 123 2,798 1,158 134 263 41.39 20.9 10.6 2,679 1,030 105 232 61.55 25.5 11.5
Omaha 112 2,471 1,026 165 336 41.52 15.0 7.4 2,473 1,022 151 179 58.67 16.4 13.8
North Dakota 115 2,457 1,016 122 147 41.35 20.1 16.7 2,566 1,128 141 211 56.04 18.2 12.2
Oral Roberts 114 2,402 963 86 143 40.09 27.9 16.8 2,526 1,095 144 232 56.65 17.5 10.9
North Dakota St. 111 2,309 931 143 127 40.32 16.1 18.2 2,548 1,183 155 223 53.57 16.4 11.4
South Dakota St. 107 2,202 861 122 169 39.10 18.0 13.0 2,472 1,168 165 190 52.75 15.0 13.0
Western Ill. 109 2,146 843 139 256 39.28 15.4 8.4 2,497 1,212 167 238 51.46 15.0 10.5
Conference Average 112 2,434 1,029 144 209 42.15 17.8 12.8 2,470 1,067 138 205 56.87 18.5 12.2
  • 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 Summit League

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

76.01

2018-11-18 Denver, Colo.
Denver
South Dakota
2
3
25
27
26
24
25
19
21
25
6
15
GAME

74.17

2018-10-30 Denver, Colo.
Denver
South Dakota
3
2
25
15
25
27
27
25
24
26
15
12
GAME

74.06

2018-11-09 Tulsa, Okla.
Oral Roberts
North Dakota St.
1
3
23
25
25
23
25
27
25
27
GAME

72.29

2018-09-28 Vermillion, SD
South Dakota
Purdue Fort Wayne
3
2
25
20
19
25
24
26
25
22
15
9
GAME

71.50

2018-11-04 Brookings, S.D.
South Dakota St.
Oral Roberts
3
2
21
25
25
22
30
28
22
25
15
9
GAME

70.91

2018-09-23 Tulsa, Okla.
Oral Roberts
South Dakota
1
3
26
24
21
25
23
25
23
25
GAME

70.54

2018-10-05 Vermillion, S.D.
South Dakota
Denver
0
3
23
25
19
25
23
25
GAME

69.62

2018-10-12 Vermillion, S.D.
South Dakota
Omaha
1
3
21
25
25
10
24
26
23
25
GAME

69.53

2018-10-23 Fargo, ND
North Dakota St.
Oral Roberts
3
2
23
25
18
25
29
27
25
18
15
10
GAME

69.15

2018-10-28 Brookings, S.D.
South Dakota St.
North Dakota St.
1
3
23
25
28
26
19
25
19
25

HuskerGeek Summit League 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 26.5264
2 26.0300
3 25.7322
4 23.3745
5 21.6234
6 21.4758
7 19.0569
8 18.5419
9 18.2251
10 17.6444

Offensive WPA

Rk. Name Team OWPA
1 15.6319
2 14.6151
3 12.8883
4 12.7698
5 12.3536
6 12.2521
7 12.1085
8 11.8018
9 11.5879
10 11.4736

Defensive WPA

Rk. Name Team DWPA
1 19.7718
2 18.1366
3 15.7597
4 15.0528
5 14.8451
6 14.4453
7 13.7602
8 13.6237
9 12.4385
10 11.9632

WPA Per Set

Rk. Name Team WPA/S
1 0.2318
2 0.2283
3 0.2157
4 0.1948
5 0.1935
6 0.1921
7 0.1916
8 0.1854
9 0.1717
10 0.1703

Offensive WPA Per Set

Rk. Name Team OWPA/S
1 0.1371
2 0.1198
3 0.1161
4 0.1150
5 0.1123
6 0.1104
7 0.1093
8 0.1091
9 0.1044
10 0.0999

Defensive WPA Per Set

Rk. Name Team DWPA/S
1 0.1781
2 0.1591
3 0.1500
4 0.1302
5 0.1290
6 0.1287
7 0.1240
8 0.1233
9 0.1227
10 0.1224


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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