Nerdly Nebraska.
2023-2024 HuskerGeek Ratings Leaders
Sport | School | Rating |
---|---|---|
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 | South Dakota | 1,662.2281 | 1,628.8543 | 1,645.4566 | 51.87 | 57.12 | 0.114 |
2nd | Denver | 1,635.7319 | 1,598.1505 | 1,616.8320 | 50.76 | 54.87 | 0.059 |
3rd | Omaha | 1,605.7230 | 1,574.0347 | 1,589.7999 | 48.62 | 55.96 | 0.052 |
4th | Purdue Fort Wayne | 1,538.1411 | 1,503.2684 | 1,520.6048 | 44.75 | 54.58 | -0.021 |
5th | North Dakota St. | 1,525.3288 | 1,496.6526 | 1,510.9227 | 49.13 | 48.43 | -0.048 |
6th | Oral Roberts | 1,493.1404 | 1,464.1904 | 1,478.5946 | 44.29 | 50.93 | -0.056 |
7th | Western Ill. | 1,473.4937 | 1,437.1120 | 1,455.1892 | 41.93 | 50.65 | -0.089 |
8th | South Dakota St. | 1,468.9104 | 1,435.0114 | 1,451.8619 | 42.81 | 48.77 | -0.101 |
9th | North Dakota | 1,456.3161 | 1,419.9854 | 1,438.0360 | 40.86 | 50.33 | -0.093 |
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 | 0.2704 | 40.81 | 13.76 | 38.18 | 47.12 | 4.97 | 6.63 |
2nd | Omaha | 0.2419 | 39.34 | 15.15 | 36.95 | 45.36 | 4.83 | 7.67 |
3rd | Denver | 0.2338 | 39.28 | 15.91 | 36.47 | 44.82 | 5.72 | 8.15 |
4th | Purdue Fort Wayne | 0.1947 | 34.38 | 14.91 | 32.34 | 51.40 | 5.55 | 5.23 |
5th | Oral Roberts | 0.1907 | 33.41 | 14.34 | 31.11 | 53.63 | 5.32 | 6.36 |
6th | North Dakota St. | 0.1852 | 34.45 | 15.93 | 32.17 | 48.48 | 5.09 | 5.47 |
7th | North Dakota | 0.1683 | 31.29 | 14.46 | 28.83 | 56.74 | 4.72 | 5.37 |
8th | Western Ill. | 0.1570 | 32.15 | 16.45 | 29.51 | 52.33 | 5.65 | 5.97 |
9th | South Dakota St. | 0.1514 | 31.93 | 16.80 | 29.07 | 52.65 | 6.07 | 5.78 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | South Dakota | 0.1568 | 31.19 | 15.50 | 28.96 | 54.95 | 7.12 | 5.88 |
2nd | Denver | 0.1752 | 35.06 | 17.53 | 32.06 | 49.47 | 7.22 | 4.77 |
3rd | Omaha | 0.1895 | 34.37 | 15.42 | 32.05 | 50.52 | 6.15 | 6.17 |
4th | Purdue Fort Wayne | 0.2161 | 36.30 | 14.68 | 33.64 | 49.04 | 5.86 | 5.86 |
5th | North Dakota St. | 0.2328 | 36.40 | 13.12 | 33.90 | 49.71 | 5.34 | 6.18 |
6th | Western Ill. | 0.2457 | 40.07 | 15.50 | 37.19 | 43.82 | 6.84 | 6.58 |
7th | Oral Roberts | 0.2465 | 37.56 | 12.91 | 35.23 | 48.50 | 4.52 | 6.96 |
8th | South Dakota St. | 0.2522 | 39.32 | 14.10 | 36.40 | 45.89 | 5.38 | 7.42 |
9th | North Dakota | 0.2617 | 40.28 | 14.11 | 37.12 | 46.59 | 5.43 | 8.43 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,523.0331 | 1,517.6864 | 1,511.0222 | 1,503.3740 | 1,513.7789 |
Difference | -5.3466 | -12.0109 | -19.6591 | -12.3389 |
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 |
South Dakota | 119 | 2,721 | 1,444 | 171 | 243 | 53.07 | 15.9 | 11.2 | 2,310 | 1,035 | 130 | 193 | 55.20 | 17.8 | 12.0 |
Denver | 113 | 2,392 | 1,248 | 196 | 234 | 52.17 | 12.2 | 10.2 | 2,164 | 1,030 | 112 | 220 | 52.40 | 19.3 | 9.8 |
Omaha | 125 | 2,783 | 1,381 | 202 | 315 | 49.62 | 13.8 | 8.8 | 2,593 | 1,191 | 151 | 216 | 54.07 | 17.2 | 12.0 |
Purdue Fort Wayne | 124 | 2,632 | 1,244 | 131 | 197 | 47.26 | 20.1 | 13.4 | 2,629 | 1,208 | 150 | 212 | 54.05 | 17.5 | 12.4 |
North Dakota St. | 112 | 2,362 | 1,185 | 126 | 147 | 50.17 | 18.7 | 16.1 | 2,456 | 1,304 | 148 | 221 | 46.91 | 16.6 | 11.1 |
North Dakota | 113 | 2,353 | 1,073 | 140 | 208 | 45.60 | 16.8 | 11.3 | 2,550 | 1,254 | 205 | 243 | 50.82 | 12.4 | 10.5 |
Oral Roberts | 123 | 2,585 | 1,199 | 156 | 199 | 46.38 | 16.6 | 13.0 | 2,783 | 1,401 | 177 | 238 | 49.66 | 15.7 | 11.7 |
Western Ill. | 107 | 2,160 | 975 | 132 | 235 | 45.14 | 16.4 | 9.2 | 2,340 | 1,166 | 142 | 210 | 50.17 | 16.5 | 11.1 |
South Dakota St. | 107 | 2,158 | 973 | 119 | 168 | 45.09 | 18.1 | 12.8 | 2,457 | 1,281 | 172 | 209 | 47.86 | 14.3 | 11.8 |
Conference Average | 116 | 2,461 | 1,191 | 153 | 216 | 48.28 | 16.5 | 11.8 | 2,476 | 1,208 | 154 | 218 | 51.24 | 16.4 | 11.4 |
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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 |
76.94 |
2019-09-29 |
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GAME |
76.52 |
2019-11-01 |
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GAME |
76.48 |
2019-11-08 | Fort Wayne, Ind. |
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GAME |
76.13 |
2019-10-04 |
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GAME |
75.55 |
2019-11-03 |
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GAME |
75.48 |
2019-10-15 |
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GAME |
71.94 |
2019-10-18 |
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GAME |
71.93 |
2019-10-06 |
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GAME |
71.53 |
2019-11-17 | Fort Wayne, Ind. |
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GAME |
71.32 |
2019-11-08 |
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Name | Team | Role |
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Lydia Bartalo | Denver | A |
Anna Blaschko | Omaha | A |
Madison Harms | South Dakota | A |
Elizabeth Juhnke | South Dakota | A |
Anne Rasmussen | South Dakota | D |
Sami Clarkson | Omaha | S |
Madison Jurgens | South Dakota | S |
Name | Team | Role |
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Kalea Fobert | Denver | A |
Sadie Limback | Omaha | A |
Sami Slaughter | South Dakota | A |
Maddie Wiedenfeld | South Dakota | A |
Cece Madison | Oral Roberts | D |
Claire Mountjoy | Omaha | D |
Sylvia Lawson | Oral Roberts | S |
Rank | Name | Team |
---|---|---|
1 | Elizabeth Juhnke | South Dakota |
2 | Madison Jurgens | South Dakota |
3 | Sami Clarkson | Omaha |
4 | Anne Rasmussen | South Dakota |
5 | Lydia Bartalo | Denver |
Rank | Name | Team |
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1 | Elizabeth Juhnke | South Dakota |
2 | Lydia Bartalo | Denver |
3 | Sami Slaughter | South Dakota |
4 | Sadie Limback | Omaha |
5 | Ashley Brueggeman | North Dakota |
Rank | Name | Team |
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1 | Madison Jurgens | South Dakota |
2 | Sami Clarkson | Omaha |
3 | Sylvia Lawson | Oral Roberts |
4 | Madison Gates | Purdue Fort Wayne |
5 | Carly Wedel | South Dakota St. |
Rank | Name | Team |
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1 | Anne Rasmussen | South Dakota |
2 | Claire Mountjoy | Omaha |
3 | Macy Carrabine | Denver |
4 | Rachael Crucis | Purdue Fort Wayne |
5 | Alex Bachmeier | North Dakota St. |
Rk. | Name | Team | WPA |
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1 | Elizabeth Juhnke | South Dakota | 24.5992 |
2 | Madison Jurgens | South Dakota | 24.2946 |
3 | Cece Madison | Oral Roberts | 22.9552 |
4 | Katie Crowe | Purdue Fort Wayne | 20.6484 |
5 | Ashley Brueggeman | North Dakota | 20.4237 |
6 | Claire Mountjoy | Omaha | 19.0928 |
7 | Anne Rasmussen | South Dakota | 18.7663 |
8 | Sami Clarkson | Omaha | 18.5952 |
9 | Sylvia Lawson | Oral Roberts | 18.2445 |
10 | Rachael Crucis | Purdue Fort Wayne | 17.5864 |
Rk. | Name | Team | OWPA |
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1 | Madison Jurgens | South Dakota | 15.7618 |
2 | Sami Slaughter | South Dakota | 13.3272 |
3 | Elizabeth Juhnke | South Dakota | 12.8827 |
4 | Sadie Limback | Omaha | 12.7247 |
5 | Sami Clarkson | Omaha | 12.3235 |
6 | Anna Blaschko | Omaha | 11.9161 |
7 | Ashley Brueggeman | North Dakota | 11.1603 |
8 | Sylvia Lawson | Oral Roberts | 10.5979 |
9 | Bella Sade | Omaha | 10.5572 |
10 | Cece Madison | Oral Roberts | 10.5544 |
Rk. | Name | Team | DWPA |
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1 | Anne Rasmussen | South Dakota | 17.6771 |
2 | Rachael Crucis | Purdue Fort Wayne | 17.6218 |
3 | Claire Mountjoy | Omaha | 17.2853 |
4 | Sarah Thiessen | Oral Roberts | 13.9442 |
5 | Darian Chwialkowski | North Dakota | 12.9063 |
6 | Tatum Pickar | South Dakota St. | 12.8655 |
7 | Cece Madison | Oral Roberts | 12.4009 |
8 | Katie Crowe | Purdue Fort Wayne | 11.9707 |
9 | Kaylee Hanger | North Dakota St. | 11.8692 |
10 | Gabby DePersio | Western Ill. | 11.7210 |
Rk. | Name | Team | WPA/S |
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1 | Elizabeth Juhnke | South Dakota | 0.2121 |
2 | Madison Jurgens | South Dakota | 0.2094 |
3 | Cece Madison | Oral Roberts | 0.1945 |
4 | Sami Clarkson | Omaha | 0.1897 |
5 | Ashley Brueggeman | North Dakota | 0.1807 |
6 | Katie Crowe | Purdue Fort Wayne | 0.1706 |
7 | Lydia Bartalo | Denver | 0.1659 |
8 | Anne Rasmussen | South Dakota | 0.1618 |
9 | Makenzie Hennen | South Dakota St. | 0.1614 |
10 | Sylvia Lawson | Oral Roberts | 0.1546 |
Rk. | Name | Team | OWPA/S |
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1 | Madison Jurgens | South Dakota | 0.1359 |
2 | Sami Clarkson | Omaha | 0.1257 |
3 | Sami Slaughter | South Dakota | 0.1149 |
4 | Sadie Limback | Omaha | 0.1116 |
5 | Elizabeth Juhnke | South Dakota | 0.1111 |
6 | Ashley Brueggeman | North Dakota | 0.0988 |
7 | Anna Blaschko | Omaha | 0.0953 |
8 | Sylvia Lawson | Oral Roberts | 0.0898 |
9 | Cece Madison | Oral Roberts | 0.0894 |
10 | Lydia Bartalo | Denver | 0.0880 |
Rk. | Name | Team | DWPA/S |
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1 | Anne Rasmussen | South Dakota | 0.1524 |
2 | Rachael Crucis | Purdue Fort Wayne | 0.1481 |
3 | Claire Mountjoy | Omaha | 0.1383 |
4 | Sarah Thiessen | Oral Roberts | 0.1381 |
5 | Darian Chwialkowski | North Dakota | 0.1218 |
6 | Tatum Pickar | South Dakota St. | 0.1202 |
7 | Kaylee Hanger | North Dakota St. | 0.1120 |
8 | Macy Carrabine | Denver | 0.1108 |
9 | Gabby DePersio | Western Ill. | 0.1095 |
10 | Cece Madison | Oral Roberts | 0.1051 |
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.