Nerdly Nebraska.
2023-2024 HuskerGeek Ratings Leaders
Sport | School | Rating |
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ViPR D1 Volleyball | Wisconsin | 1,711.3731 |
Sport | School | Rating |
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ViPR D1 Volleyball | Wisconsin | 1,711.3731 |
Rnk. | Team | Résumé | Recent | ViPR | Adj SP% | Adj SO% | Adj. Hit Mar. |
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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.
Rnk. | Team | Hit% | Kill% | HE% | AST% | O_DIG% | O_BLK% | ACE% |
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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 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
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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 |
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 |
Offense | Defense | ||||||||||||||
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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 |
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Game Link | EPIC | Game Date | Location | Teams | Sets | Set 1 | Set 2 | Set 3 | Set 4 | Set 5 |
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GAME |
76.01 |
2018-11-18 | Denver, Colo. |
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GAME |
74.17 |
2018-10-30 | Denver, Colo. |
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GAME |
74.06 |
2018-11-09 | Tulsa, Okla. |
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GAME |
72.29 |
2018-09-28 | Vermillion, SD |
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GAME |
71.50 |
2018-11-04 | Brookings, S.D. |
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GAME |
70.91 |
2018-09-23 | Tulsa, Okla. |
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GAME |
70.54 |
2018-10-05 | Vermillion, S.D. |
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GAME |
69.62 |
2018-10-12 | Vermillion, S.D. |
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GAME |
69.53 |
2018-10-23 | Fargo, ND |
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GAME |
69.15 |
2018-10-28 | Brookings, S.D. |
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Rank | Name | Team |
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1 | Hayley Dotseth | South Dakota |
2 | Bria Bergman | Oral Roberts |
3 | Nicole Rightnowar | Purdue Fort Wayne |
4 | Madison Jurgens | South Dakota |
5 | Anne Rasmussen | South Dakota |
Rank | Name | Team |
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1 | Kayla Williams | North Dakota |
2 | Kaja Marinkovic | Denver |
3 | Rebecca Latham | Denver |
4 | Taylor Wilson | South Dakota |
5 | Tina Boe | Denver |
Rank | Name | Team |
---|---|---|
1 | Bria Bergman | Oral Roberts |
2 | Madison Jurgens | South Dakota |
3 | Madison Jaqua | Purdue Fort Wayne |
4 | Kalli Hegerle | North Dakota St. |
5 | Sydney Case | Omaha |
Rank | Name | Team |
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1 | Anne Rasmussen | South Dakota |
2 | Taliyah FLORES | North Dakota |
3 | Tori Roe | Oral Roberts |
4 | Macy Carrabine | Denver |
5 | Abbi Klos | North Dakota St. |
Rk. | Name | Team | WPA |
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1 | Nicole Rightnowar | Purdue Fort Wayne | 26.5264 |
2 | Bria Bergman | Oral Roberts | 26.0300 |
3 | Hayley Dotseth | South Dakota | 25.7322 |
4 | Madison Jaqua | Purdue Fort Wayne | 23.3745 |
5 | Anne Rasmussen | South Dakota | 21.6234 |
6 | Madison Jurgens | South Dakota | 21.4758 |
7 | Kalli Hegerle | North Dakota St. | 19.0569 |
8 | Tori Roe | Oral Roberts | 18.5419 |
9 | Makenzie Hennen | South Dakota St. | 18.2251 |
10 | Sydney Case | Omaha | 17.6444 |
Rk. | Name | Team | OWPA |
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1 | Bria Bergman | Oral Roberts | 15.6319 |
2 | Madison Jaqua | Purdue Fort Wayne | 14.6151 |
3 | Madison Jurgens | South Dakota | 12.8883 |
4 | Taylor Wilson | South Dakota | 12.7698 |
5 | Rebecca Latham | Denver | 12.3536 |
6 | Sydney Case | Omaha | 12.2521 |
7 | Hayley Dotseth | South Dakota | 12.1085 |
8 | Roosa RAUTIO | North Dakota | 11.8018 |
9 | Kalli Hegerle | North Dakota St. | 11.5879 |
10 | Nicole Rightnowar | Purdue Fort Wayne | 11.4736 |
Rk. | Name | Team | DWPA |
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1 | Anne Rasmussen | South Dakota | 19.7718 |
2 | Tori Roe | Oral Roberts | 18.1366 |
3 | Elizabeth Britner | Purdue Fort Wayne | 15.7597 |
4 | Nicole Rightnowar | Purdue Fort Wayne | 15.0528 |
5 | Taliyah FLORES | North Dakota | 14.8451 |
6 | Claire Mountjoy | Omaha | 14.4453 |
7 | Abbi Klos | North Dakota St. | 13.7602 |
8 | Hayley Dotseth | South Dakota | 13.6237 |
9 | Katie Crowe | Purdue Fort Wayne | 12.4385 |
10 | Claire Grove | Western Ill. | 11.9632 |
Rk. | Name | Team | WPA/S |
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1 | Hayley Dotseth | South Dakota | 0.2318 |
2 | Bria Bergman | Oral Roberts | 0.2283 |
3 | Nicole Rightnowar | Purdue Fort Wayne | 0.2157 |
4 | Anne Rasmussen | South Dakota | 0.1948 |
5 | Madison Jurgens | South Dakota | 0.1935 |
6 | Cece Madison | Oral Roberts | 0.1921 |
7 | Madison Jaqua | Purdue Fort Wayne | 0.1916 |
8 | Kayla Williams | North Dakota | 0.1854 |
9 | Kalli Hegerle | North Dakota St. | 0.1717 |
10 | Makenzie Hennen | South Dakota St. | 0.1703 |
Rk. | Name | Team | OWPA/S |
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1 | Bria Bergman | Oral Roberts | 0.1371 |
2 | Madison Jaqua | Purdue Fort Wayne | 0.1198 |
3 | Madison Jurgens | South Dakota | 0.1161 |
4 | Taylor Wilson | South Dakota | 0.1150 |
5 | Rebecca Latham | Denver | 0.1123 |
6 | Sydney Case | Omaha | 0.1104 |
7 | Roosa RAUTIO | North Dakota | 0.1093 |
8 | Hayley Dotseth | South Dakota | 0.1091 |
9 | Kalli Hegerle | North Dakota St. | 0.1044 |
10 | Kayla Williams | North Dakota | 0.0999 |
Rk. | Name | Team | DWPA/S |
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1 | Anne Rasmussen | South Dakota | 0.1781 |
2 | Tori Roe | Oral Roberts | 0.1591 |
3 | Taliyah FLORES | North Dakota | 0.1500 |
4 | Elizabeth Britner | Purdue Fort Wayne | 0.1302 |
5 | Claire Mountjoy | Omaha | 0.1290 |
6 | Cece Madison | Oral Roberts | 0.1287 |
7 | Abbi Klos | North Dakota St. | 0.1240 |
8 | Claire Grove | Western Ill. | 0.1233 |
9 | Hayley Dotseth | South Dakota | 0.1227 |
10 | Nicole Rightnowar | Purdue Fort Wayne | 0.1224 |
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.