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 | Cleveland St. | 1,645.4525 | 1,635.6094 | 1,640.5236 | 43.45 | 63.34 | 0.057 |
2nd | Green Bay | 1,628.0102 | 1,614.3522 | 1,621.1668 | 43.73 | 60.59 | 0.033 |
3rd | Oakland | 1,620.5041 | 1,602.3938 | 1,611.4235 | 44.07 | 59.69 | 0.052 |
4th | Northern Ky. | 1,594.3370 | 1,580.5374 | 1,587.4222 | 42.42 | 58.54 | -0.019 |
5th | IUPUI | 1,591.1715 | 1,577.2516 | 1,584.1963 | 42.65 | 58.32 | 0.013 |
6th | Ill.-Chicago | 1,589.8299 | 1,568.0652 | 1,578.9100 | 42.55 | 57.83 | -0.016 |
7th | Milwaukee | 1,586.9513 | 1,558.3431 | 1,572.5821 | 41.21 | 58.39 | -0.021 |
8th | Wright St. | 1,567.5962 | 1,548.3770 | 1,557.9570 | 41.89 | 56.38 | -0.028 |
9th | Youngstown St. | 1,487.7513 | 1,460.5055 | 1,474.0655 | 35.40 | 53.79 | -0.099 |
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% |
---|---|---|---|---|---|---|---|---|
1st | Cleveland St. | 0.2526 | 39.30 | 14.04 | 37.05 | 47.93 | 5.63 | 5.18 |
2nd | Oakland | 0.2379 | 38.95 | 15.16 | 36.59 | 46.39 | 5.66 | 5.57 |
3rd | Green Bay | 0.2364 | 39.04 | 15.41 | 36.91 | 45.38 | 6.45 | 4.31 |
4th | Milwaukee | 0.2156 | 38.32 | 16.75 | 36.12 | 44.90 | 7.80 | 5.28 |
5th | IUPUI | 0.2063 | 33.32 | 12.69 | 30.83 | 55.97 | 4.38 | 5.82 |
6th | Ill.-Chicago | 0.1967 | 36.23 | 16.56 | 34.39 | 47.61 | 7.17 | 6.35 |
7th | Wright St. | 0.1824 | 33.80 | 15.56 | 31.86 | 52.41 | 5.51 | 6.01 |
8th | Northern Ky. | 0.1819 | 33.16 | 14.98 | 31.17 | 52.46 | 6.33 | 5.43 |
9th | Youngstown St. | 0.1525 | 31.03 | 15.78 | 28.85 | 56.00 | 5.90 | 6.80 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
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1st | Oakland | 0.1858 | 34.25 | 15.67 | 32.00 | 50.55 | 7.13 | 6.30 |
2nd | IUPUI | 0.1931 | 34.82 | 15.51 | 33.07 | 50.00 | 6.11 | 5.15 |
3rd | Cleveland St. | 0.1951 | 34.21 | 14.70 | 31.95 | 50.96 | 5.57 | 4.37 |
4th | Northern Ky. | 0.2011 | 35.09 | 14.98 | 33.49 | 52.21 | 4.70 | 4.55 |
5th | Green Bay | 0.2033 | 35.31 | 14.98 | 32.74 | 51.41 | 5.36 | 4.37 |
6th | Wright St. | 0.2106 | 35.12 | 14.06 | 32.84 | 51.43 | 5.38 | 5.35 |
7th | Ill.-Chicago | 0.2126 | 35.88 | 14.62 | 33.19 | 50.51 | 4.85 | 4.96 |
8th | Milwaukee | 0.2361 | 37.53 | 13.91 | 35.30 | 48.91 | 5.68 | 5.19 |
9th | Youngstown St. | 0.2516 | 39.29 | 14.13 | 37.38 | 46.88 | 5.06 | 5.88 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,580.9163 | 1,587.6654 | 1,586.9068 | 1,583.5095 | 1,584.7495 |
Difference | 6.7491 | 5.9905 | 2.5932 | 5.1109 |
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 |
Cleveland St. | 117 | 2,632 | 1,138 | 126 | 217 | 43.24 | 20.9 | 12.1 | 2,430 | 915 | 109 | 204 | 62.35 | 22.3 | 11.9 |
Oakland | 114 | 2,547 | 1,104 | 126 | 196 | 43.35 | 20.2 | 13.0 | 2,442 | 998 | 150 | 221 | 59.13 | 16.3 | 11.0 |
Ill.-Chicago | 122 | 2,647 | 1,137 | 162 | 216 | 42.95 | 16.3 | 12.3 | 2,632 | 1,112 | 125 | 213 | 57.75 | 21.1 | 12.4 |
Green Bay | 125 | 2,729 | 1,151 | 104 | 209 | 42.18 | 26.2 | 13.1 | 2,708 | 1,124 | 123 | 215 | 58.49 | 22.0 | 12.6 |
Northern Ky. | 103 | 2,307 | 980 | 120 | 132 | 42.48 | 19.2 | 17.5 | 2,279 | 960 | 107 | 206 | 57.88 | 21.3 | 11.1 |
Milwaukee | 112 | 2,428 | 997 | 123 | 159 | 41.06 | 19.7 | 15.3 | 2,480 | 1,050 | 132 | 186 | 57.66 | 18.8 | 13.3 |
IUPUI | 124 | 2,630 | 1,095 | 138 | 201 | 41.64 | 19.1 | 13.1 | 2,686 | 1,157 | 135 | 196 | 56.93 | 19.9 | 13.7 |
Wright St. | 112 | 2,402 | 1,001 | 133 | 181 | 41.67 | 18.1 | 13.3 | 2,494 | 1,104 | 130 | 196 | 55.73 | 19.2 | 12.7 |
Youngstown St. | 106 | 2,156 | 807 | 147 | 221 | 37.43 | 14.7 | 9.8 | 2,452 | 1,117 | 141 | 176 | 54.45 | 17.4 | 13.9 |
Conference Average | 115 | 2,498 | 1,046 | 131 | 192 | 41.78 | 19.4 | 13.3 | 2,511 | 1,060 | 128 | 201 | 57.82 | 19.8 | 12.5 |
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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 |
77.79 |
2017-11-08 | Rochester, Mich. |
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GAME |
77.76 |
2017-10-13 | Green Bay, Wis. |
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GAME |
76.79 |
2017-10-01 | Milwaukee, Wis. |
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GAME |
76.49 |
2017-10-22 | Highland Heights, Ky |
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GAME |
76.42 |
2017-10-07 | Rochester, Mich. |
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GAME |
75.85 |
2017-09-30 | Cleveland, Ohio |
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GAME |
75.84 |
2017-11-10 | Cleveland, Ohio |
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GAME |
75.82 |
2017-10-06 | Highland Heights, Ky |
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GAME |
75.56 |
2017-09-23 | Highland Heights, Ky |
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GAME |
75.21 |
2017-10-15 | Milwaukee, Wis. |
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Name | Team | Role |
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Darien Bandel | Oakland | A |
Lydia DeWeese | Green Bay | A |
Kori Waelbroeck | IUPUI | A |
Bridget Wallenberger | Milwaukee | A |
Manuela Conte | Ill.-Chicago | D |
Jordan Lentz | Oakland | S |
Shelby Olsen | Northern Ky. | S |
Name | Team | Role |
---|---|---|
Kyisha Hunt | Ill.-Chicago | A |
Alexis Middlebrooks | Cleveland St. | A |
Jamie Walling | Oakland | A |
Taylor Wolf | Green Bay | A |
Shannon Grega | Cleveland St. | D |
Haley Libs | Northern Ky. | D |
Maggie Gibson | IUPUI | S |
Rank | Name | Team |
---|---|---|
1 | Shelby Olsen | Northern Ky. |
2 | Jordan Lentz | Oakland |
3 | Maggie Gibson | IUPUI |
4 | Haley Libs | Northern Ky. |
5 | Gina Kilner | Cleveland St. |
Rank | Name | Team |
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1 | Darien Bandel | Oakland |
2 | Kori Waelbroeck | IUPUI |
3 | Taylor Wolf | Green Bay |
4 | Lydia DeWeese | Green Bay |
5 | Bridget Wallenberger | Milwaukee |
Rank | Name | Team |
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1 | Shelby Olsen | Northern Ky. |
2 | Jordan Lentz | Oakland |
3 | Maggie Gibson | IUPUI |
4 | Gina Kilner | Cleveland St. |
5 | Maddie Yoss | Green Bay |
Rank | Name | Team |
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1 | Manuela Conte | Ill.-Chicago |
2 | Shannon Grega | Cleveland St. |
3 | Vanessa Buman | Green Bay |
4 | Jessie Thornton | Wright St. |
5 | Darrin Rice | Oakland |
Rk. | Name | Team | WPA |
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1 | Maggie Gibson | IUPUI | 29.2581 |
2 | Kori Waelbroeck | IUPUI | 26.6194 |
3 | Shelby Olsen | Northern Ky. | 26.3448 |
4 | Maddie Yoss | Green Bay | 26.0042 |
5 | Jordan Lentz | Oakland | 25.9647 |
6 | Gina Kilner | Cleveland St. | 25.3722 |
7 | Maddie Lohmeier | Wright St. | 25.2448 |
8 | Taylor Wolf | Green Bay | 24.8036 |
9 | Haley Libs | Northern Ky. | 24.4768 |
10 | Darien Bandel | Oakland | 23.9741 |
Rk. | Name | Team | OWPA |
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1 | Gina Kilner | Cleveland St. | 18.6611 |
2 | Lydia DeWeese | Green Bay | 16.5728 |
3 | Maddie Yoss | Green Bay | 16.4338 |
4 | Maggie Gibson | IUPUI | 16.3734 |
5 | Jordan Lentz | Oakland | 16.2372 |
6 | Darien Bandel | Oakland | 15.7178 |
7 | Bridget Wallenberger | Milwaukee | 15.6880 |
8 | Shelby Olsen | Northern Ky. | 15.0295 |
9 | Maddie Lohmeier | Wright St. | 14.9102 |
10 | Jenn Dore | Milwaukee | 14.9061 |
Rk. | Name | Team | DWPA |
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1 | Vanessa Buman | Green Bay | 19.1941 |
2 | Shannon Grega | Cleveland St. | 16.8740 |
3 | Jessica Helms | IUPUI | 16.4405 |
4 | Jessie Thornton | Wright St. | 16.2962 |
5 | Carla Salvato | Ill.-Chicago | 16.1241 |
6 | Darrin Rice | Oakland | 16.0769 |
7 | Lauren Blanco | Youngstown St. | 15.1856 |
8 | Mikelyn Olsen | Milwaukee | 15.1756 |
9 | Manuela Conte | Ill.-Chicago | 13.9987 |
10 | Maggie Gibson | IUPUI | 12.8848 |
Rk. | Name | Team | WPA/S |
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1 | Shelby Olsen | Northern Ky. | 0.2558 |
2 | Haley Libs | Northern Ky. | 0.2376 |
3 | Maggie Gibson | IUPUI | 0.2360 |
4 | Jordan Lentz | Oakland | 0.2278 |
5 | Maddie Lohmeier | Wright St. | 0.2254 |
6 | Gina Kilner | Cleveland St. | 0.2169 |
7 | Maddie Yoss | Green Bay | 0.2149 |
8 | Kori Waelbroeck | IUPUI | 0.2147 |
9 | Darien Bandel | Oakland | 0.2103 |
10 | Taylor Wolf | Green Bay | 0.1984 |
Rk. | Name | Team | OWPA/S |
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1 | Gina Kilner | Cleveland St. | 0.1595 |
2 | Shelby Olsen | Northern Ky. | 0.1459 |
3 | Jordan Lentz | Oakland | 0.1424 |
4 | Bridget Wallenberger | Milwaukee | 0.1401 |
5 | Darien Bandel | Oakland | 0.1379 |
6 | Maddie Yoss | Green Bay | 0.1358 |
7 | Maddie Lohmeier | Wright St. | 0.1331 |
8 | Jenn Dore | Milwaukee | 0.1331 |
9 | Lydia DeWeese | Green Bay | 0.1326 |
10 | Maggie Gibson | IUPUI | 0.1320 |
Rk. | Name | Team | DWPA/S |
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1 | Jessie Thornton | Wright St. | 0.1552 |
2 | Vanessa Buman | Green Bay | 0.1536 |
3 | Lauren Blanco | Youngstown St. | 0.1446 |
4 | Shannon Grega | Cleveland St. | 0.1442 |
5 | Darrin Rice | Oakland | 0.1410 |
6 | Mikelyn Olsen | Milwaukee | 0.1355 |
7 | Jessica Helms | IUPUI | 0.1326 |
8 | Carla Salvato | Ill.-Chicago | 0.1322 |
9 | Haley Libs | Northern Ky. | 0.1245 |
10 | Manuela Conte | Ill.-Chicago | 0.1239 |
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.