Nerdly Nebraska.
2023-2024 HuskerGeek Ratings Leaders
Sport | School | Rating |
---|---|---|
ViPR D1 Volleyball | Wisconsin | 1,711.3731 |
Sport | School | Rating |
---|---|---|
ViPR D1 Volleyball | Wisconsin | 1,711.3731 |
Rnk. | Team | Résumé | Recent | ViPR | Adj SP% | Adj SO% | Adj. Hit Mar. |
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1st | Omaha | 1,526.0688 | 1,530.0565 | 1,528.0614 | 53.65 | 55.71 | 0.117 |
2nd | Denver | 1,492.0894 | 1,502.1871 | 1,497.1297 | 50.24 | 55.97 | 0.101 |
3rd | South Dakota | 1,474.5965 | 1,478.0228 | 1,476.3086 | 51.28 | 52.69 | 0.083 |
4th | Oral Roberts | 1,425.8409 | 1,428.8898 | 1,427.3645 | 48.12 | 51.03 | 0.031 |
5th | South Dakota St. | 1,402.1940 | 1,411.0017 | 1,406.5909 | 48.88 | 49.17 | -0.003 |
6th | North Dakota St. | 1,380.4638 | 1,388.2466 | 1,384.3497 | 48.59 | 48.50 | -0.038 |
7th | Western Ill. | 1,325.4839 | 1,325.0503 | 1,325.2671 | 43.52 | 47.37 | -0.113 |
8th | St. Thomas (MN) | 1,267.6828 | 1,270.6299 | 1,269.1555 | 41.08 | 45.05 | -0.147 |
9th | North Dakota | 1,259.6662 | 1,269.5815 | 1,264.6142 | 43.82 | 42.36 | -0.132 |
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 | South Dakota | 0.2668 | 40.00 | 13.32 | 36.91 | 48.43 | 4.74 | 7.30 |
2nd | Denver | 0.2618 | 41.72 | 15.54 | 37.89 | 42.82 | 5.98 | 8.51 |
3rd | Omaha | 0.2595 | 38.48 | 12.53 | 35.10 | 46.88 | 4.73 | 6.51 |
4th | Oral Roberts | 0.2345 | 37.32 | 13.86 | 34.60 | 48.45 | 5.44 | 5.25 |
5th | South Dakota St. | 0.2093 | 35.65 | 14.72 | 32.28 | 48.71 | 6.04 | 6.84 |
6th | North Dakota St. | 0.1956 | 35.59 | 16.03 | 32.84 | 48.42 | 6.19 | 7.55 |
7th | Western Ill. | 0.1587 | 29.93 | 14.06 | 26.88 | 54.97 | 5.79 | 5.82 |
8th | St. Thomas (MN) | 0.1390 | 30.83 | 16.93 | 29.31 | 54.66 | 6.34 | 6.31 |
9th | North Dakota | 0.1119 | 26.96 | 15.77 | 25.13 | 59.35 | 5.44 | 5.53 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | Omaha | 0.1426 | 29.91 | 15.65 | 27.93 | 55.09 | 6.67 | 3.69 |
2nd | Denver | 0.1608 | 33.32 | 17.24 | 30.24 | 49.94 | 6.96 | 4.85 |
3rd | South Dakota | 0.1833 | 34.03 | 15.70 | 31.85 | 51.09 | 6.70 | 6.68 |
4th | Oral Roberts | 0.2036 | 36.06 | 15.69 | 33.23 | 47.86 | 6.70 | 5.62 |
5th | South Dakota St. | 0.2126 | 36.76 | 15.50 | 33.87 | 47.14 | 6.09 | 6.22 |
6th | North Dakota St. | 0.2339 | 37.48 | 14.09 | 33.91 | 48.26 | 5.24 | 7.61 |
7th | North Dakota | 0.2441 | 38.13 | 13.72 | 34.69 | 48.85 | 5.37 | 7.55 |
8th | Western Ill. | 0.2713 | 39.83 | 12.70 | 35.69 | 46.02 | 4.98 | 6.11 |
9th | St. Thomas (MN) | 0.2857 | 42.42 | 13.84 | 39.56 | 44.47 | 5.16 | 8.88 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,397.6491 | 1,398.0237 | 1,403.9762 | 1,406.1017 | 1,401.4377 |
Difference | 0.3747 | 6.3271 | 8.4527 | 5.0515 |
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 | 104 | 2,169 | 1,120 | 201 | 235 | 51.64 | 10.8 | 9.2 | 1,865 | 828 | 93 | 169 | 55.60 | 20.1 | 11.0 |
Omaha | 109 | 2,268 | 1,196 | 153 | 247 | 52.73 | 14.8 | 9.2 | 1,994 | 926 | 97 | 202 | 53.56 | 20.6 | 9.9 |
South Dakota | 116 | 2,472 | 1,258 | 173 | 262 | 50.89 | 14.3 | 9.4 | 2,339 | 1,132 | 159 | 212 | 51.60 | 14.7 | 11.0 |
Oral Roberts | 106 | 2,211 | 1,109 | 134 | 207 | 50.16 | 16.5 | 10.7 | 2,079 | 1,010 | 112 | 181 | 51.42 | 18.6 | 11.5 |
South Dakota St. | 118 | 2,226 | 1,135 | 177 | 221 | 50.99 | 12.6 | 10.1 | 2,221 | 1,115 | 153 | 205 | 49.80 | 14.5 | 10.8 |
North Dakota St. | 110 | 2,202 | 1,098 | 175 | 180 | 49.86 | 12.6 | 12.2 | 2,296 | 1,189 | 181 | 206 | 48.21 | 12.7 | 11.1 |
Western Ill. | 108 | 1,960 | 892 | 126 | 157 | 45.51 | 15.6 | 12.5 | 2,286 | 1,194 | 150 | 211 | 47.77 | 15.2 | 10.8 |
North Dakota | 105 | 1,709 | 762 | 101 | 171 | 44.59 | 16.9 | 10.0 | 2,188 | 1,256 | 190 | 207 | 42.60 | 11.5 | 10.6 |
St. Thomas (MN) | 95 | 1,559 | 658 | 110 | 200 | 42.21 | 14.2 | 7.8 | 2,049 | 1,139 | 197 | 162 | 44.41 | 10.4 | 12.6 |
Conference Average | 108 | 2,086 | 1,025 | 150 | 209 | 48.73 | 14.2 | 10.1 | 2,146 | 1,088 | 148 | 195 | 49.44 | 15.4 | 11.1 |
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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 |
77.52 |
2021-10-14 |
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GAME |
72.69 |
2021-10-02 |
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GAME |
72.32 |
2021-11-26 | Vermillion, SD |
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GAME |
72.21 |
2021-10-30 |
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GAME |
71.85 |
2021-11-07 |
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GAME |
69.67 |
2021-10-28 |
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GAME |
69.54 |
2021-11-11 |
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GAME |
69.48 |
2021-10-05 |
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GAME |
69.00 |
2021-11-26 |
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GAME |
68.66 |
2021-11-27 |
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Name | Team | Role |
---|---|---|
Tina Boe | Denver | A |
Peyton Bowman | Western Ill. | A |
McKenna Ruch | Omaha | A |
Chloe Stitt | South Dakota St. | A |
Aixa Vigil | Oral Roberts | A |
Maggie Craker | Western Ill. | D |
Claire Mountjoy | Omaha | D |
Raegen Reilly | North Dakota St. | S |
Rank | Name | Team |
---|---|---|
1 | Elizabeth Juhnke | South Dakota |
2 | Sadie Limback | Omaha |
3 | Bryanne Soares | Oral Roberts |
4 | Sami Clarkson | Omaha |
5 | Maggie Craker | Western Ill. |
Rank | Name | Team |
---|---|---|
1 | Elizabeth Juhnke | South Dakota |
2 | Sadie Limback | Omaha |
3 | Crystal Burk | South Dakota St. |
4 | Aixa Vigil | Oral Roberts |
5 | Madison Harms | South Dakota |
Rank | Name | Team |
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1 | Bryanne Soares | Oral Roberts |
2 | Sami Clarkson | Omaha |
3 | Raegen Reilly | North Dakota St. |
4 | Madison Jurgens | South Dakota |
5 | Carly Wedel | South Dakota St. |
Rank | Name | Team |
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1 | Lolo Weideman | South Dakota |
2 | Claire Mountjoy | Omaha |
3 | Jaiden Centeno | Omaha |
4 | Karli Wenzel | Western Ill. |
5 | Tatum Pickar | South Dakota St. |
Rk. | Name | Team | WPA |
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1 | Elizabeth Juhnke | South Dakota | 25.2106 |
2 | Crystal Burk | South Dakota St. | 22.1340 |
3 | Sadie Limback | Omaha | 21.2370 |
4 | Bryanne Soares | Oral Roberts | 21.1137 |
5 | Sami Clarkson | Omaha | 18.7920 |
6 | Madison Jurgens | South Dakota | 18.6476 |
7 | Lolo Weideman | South Dakota | 15.9678 |
8 | Chloe Stitt | South Dakota St. | 15.7531 |
9 | Raegen Reilly | North Dakota St. | 15.6131 |
10 | Maggie Craker | Western Ill. | 15.5662 |
Rk. | Name | Team | OWPA |
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1 | Bryanne Soares | Oral Roberts | 13.6524 |
2 | Elizabeth Juhnke | South Dakota | 13.6164 |
3 | Sadie Limback | Omaha | 13.1032 |
4 | Crystal Burk | South Dakota St. | 12.9147 |
5 | Sami Clarkson | Omaha | 12.7471 |
6 | Madison Jurgens | South Dakota | 12.4883 |
7 | Syra Tanchin | North Dakota St. | 10.2435 |
8 | Madison Harms | South Dakota | 10.2195 |
9 | Sakira LaCour | Oral Roberts | 9.9577 |
10 | Raegen Reilly | North Dakota St. | 9.9107 |
Rk. | Name | Team | DWPA |
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1 | Lolo Weideman | South Dakota | 15.5101 |
2 | Karli Wenzel | Western Ill. | 13.1031 |
3 | Claire Mountjoy | Omaha | 12.4440 |
4 | Sarah Thiessen | Oral Roberts | 12.2283 |
5 | Jaiden Centeno | Omaha | 12.0774 |
6 | Elizabeth Juhnke | South Dakota | 11.5942 |
7 | Madi HART | North Dakota | 11.4990 |
8 | Tatum Pickar | South Dakota St. | 11.0809 |
9 | Gianna Bartalo | Denver | 10.6265 |
10 | Crystal Burk | South Dakota St. | 9.2194 |
Rk. | Name | Team | WPA/S |
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1 | Elizabeth Juhnke | South Dakota | 0.2251 |
2 | Bryanne Soares | Oral Roberts | 0.2177 |
3 | Crystal Burk | South Dakota St. | 0.2128 |
4 | Sadie Limback | Omaha | 0.2124 |
5 | Maggie Craker | Western Ill. | 0.1996 |
6 | Raegen Reilly | North Dakota St. | 0.1881 |
7 | Sami Clarkson | Omaha | 0.1879 |
8 | Aixa Vigil | Oral Roberts | 0.1760 |
9 | Madison Jurgens | South Dakota | 0.1665 |
10 | Lydia Bartalo | Denver | 0.1646 |
Rk. | Name | Team | OWPA/S |
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1 | Bryanne Soares | Oral Roberts | 0.1407 |
2 | Sadie Limback | Omaha | 0.1310 |
3 | Sami Clarkson | Omaha | 0.1275 |
4 | Crystal Burk | South Dakota St. | 0.1242 |
5 | Elizabeth Juhnke | South Dakota | 0.1216 |
6 | Raegen Reilly | North Dakota St. | 0.1194 |
7 | Madison Jurgens | South Dakota | 0.1115 |
8 | Madison Harms | South Dakota | 0.1043 |
9 | Maggie Craker | Western Ill. | 0.1038 |
10 | Sakira LaCour | Oral Roberts | 0.1006 |
Rk. | Name | Team | DWPA/S |
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1 | Karli Wenzel | Western Ill. | 0.1409 |
2 | Lolo Weideman | South Dakota | 0.1385 |
3 | Madi HART | North Dakota | 0.1264 |
4 | Tatum Pickar | South Dakota St. | 0.1245 |
5 | Claire Mountjoy | Omaha | 0.1244 |
6 | Sarah Thiessen | Oral Roberts | 0.1235 |
7 | Jaiden Centeno | Omaha | 0.1208 |
8 | Gianna Bartalo | Denver | 0.1155 |
9 | Carrie Rutledge | St. Thomas (MN) | 0.1080 |
10 | Elizabeth Juhnke | South Dakota | 0.1035 |
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.