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 | Green Bay | 1,523.0835 | 1,502.6463 | 1,512.8304 | 43.94 | 59.83 | 0.009 |
2nd | Cleveland St. | 1,518.3593 | 1,484.8412 | 1,501.5067 | 42.63 | 59.89 | 0.015 |
3rd | Northern Ky. | 1,513.1149 | 1,487.1422 | 1,500.0724 | 43.73 | 59.49 | 0.005 |
4th | UIC | 1,502.4485 | 1,478.0695 | 1,490.2092 | 44.06 | 57.48 | -0.007 |
5th | Wright St. | 1,478.9173 | 1,448.2055 | 1,463.4808 | 42.22 | 56.44 | -0.033 |
6th | Oakland | 1,454.2459 | 1,425.6312 | 1,439.8675 | 41.07 | 55.27 | -0.035 |
7th | Milwaukee | 1,438.6787 | 1,413.3467 | 1,425.9565 | 39.19 | 55.54 | -0.061 |
8th | IUPUI | 1,415.3308 | 1,386.7363 | 1,400.9606 | 37.74 | 54.56 | -0.064 |
9th | Youngstown St. | 1,360.3894 | 1,328.2981 | 1,344.2480 | 35.73 | 50.82 | -0.142 |
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 | Green Bay | 0.2067 | 35.36 | 14.69 | 32.85 | 50.53 | 5.28 | 5.89 |
2nd | Northern Ky. | 0.2009 | 33.70 | 13.61 | 31.90 | 53.30 | 6.12 | 6.80 |
3rd | UIC | 0.1940 | 35.65 | 16.24 | 33.49 | 49.17 | 6.29 | 6.30 |
4th | Cleveland St. | 0.1891 | 33.37 | 14.46 | 31.45 | 54.80 | 5.15 | 4.24 |
5th | Oakland | 0.1810 | 34.67 | 16.56 | 32.55 | 49.84 | 7.01 | 5.19 |
6th | Milwaukee | 0.1728 | 33.02 | 15.75 | 31.12 | 50.51 | 7.51 | 4.82 |
7th | Wright St. | 0.1622 | 32.51 | 16.29 | 30.04 | 51.93 | 6.17 | 6.58 |
8th | IUPUI | 0.1472 | 29.93 | 15.21 | 27.62 | 57.71 | 5.52 | 4.69 |
9th | Youngstown St. | 0.1233 | 29.47 | 17.14 | 27.70 | 56.93 | 6.21 | 5.27 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | Cleveland St. | 0.1745 | 33.58 | 16.13 | 31.48 | 52.32 | 6.73 | 4.24 |
2nd | Wright St. | 0.1948 | 34.68 | 15.20 | 32.38 | 52.02 | 5.73 | 5.72 |
3rd | Northern Ky. | 0.1962 | 33.20 | 13.58 | 31.14 | 54.81 | 5.07 | 4.63 |
4th | Green Bay | 0.1974 | 33.79 | 14.05 | 31.48 | 53.31 | 5.34 | 4.66 |
5th | UIC | 0.2007 | 34.95 | 14.88 | 32.69 | 52.01 | 5.86 | 4.97 |
6th | IUPUI | 0.2112 | 35.17 | 14.05 | 33.12 | 51.01 | 5.00 | 5.86 |
7th | Oakland | 0.2163 | 36.46 | 14.83 | 34.21 | 50.02 | 6.15 | 6.36 |
8th | Milwaukee | 0.2335 | 37.33 | 13.98 | 35.42 | 49.54 | 4.38 | 5.68 |
9th | Youngstown St. | 0.2650 | 38.55 | 12.05 | 36.29 | 49.00 | 4.34 | 5.78 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,453.2369 | 1,460.2934 | 1,463.9173 | 1,464.5192 | 1,460.4917 |
Difference | 7.0565 | 10.6804 | 11.2823 | 9.6730 |
Offense | Defense | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Team | Sets | S | SP | SA | SE | SP% | S/SA | S/SE | OS | SPA | SAA | SEA | SO% | OS/SAA | OS/SEA |
Northern Ky. | 121 | 2,755 | 1,239 | 178 | 236 | 44.97 | 15.5 | 11.7 | 2,563 | 1,032 | 115 | 216 | 59.74 | 22.3 | 11.9 |
Green Bay | 113 | 2,532 | 1,128 | 141 | 181 | 44.55 | 18.0 | 14.0 | 2,397 | 978 | 113 | 200 | 59.20 | 21.2 | 12.0 |
Cleveland St. | 114 | 2,510 | 1,103 | 100 | 172 | 43.94 | 25.1 | 14.6 | 2,389 | 971 | 105 | 193 | 59.36 | 22.8 | 12.4 |
UIC | 118 | 2,673 | 1,212 | 162 | 167 | 45.34 | 16.5 | 16.0 | 2,553 | 1,077 | 122 | 174 | 57.81 | 20.9 | 14.7 |
Wright St. | 114 | 2,500 | 1,098 | 158 | 216 | 43.92 | 15.8 | 11.6 | 2,462 | 1,061 | 132 | 200 | 56.91 | 18.7 | 12.3 |
Oakland | 108 | 2,238 | 923 | 104 | 171 | 41.24 | 21.5 | 13.1 | 2,392 | 1,091 | 151 | 183 | 54.39 | 15.8 | 13.1 |
Milwaukee | 114 | 2,444 | 984 | 112 | 172 | 40.26 | 21.8 | 14.2 | 2,604 | 1,164 | 148 | 184 | 55.30 | 17.6 | 14.2 |
IUPUI | 108 | 2,264 | 881 | 99 | 184 | 38.91 | 22.9 | 12.3 | 2,507 | 1,142 | 148 | 178 | 54.45 | 16.9 | 14.1 |
Youngstown St. | 104 | 2,105 | 816 | 113 | 147 | 38.77 | 18.6 | 14.3 | 2,447 | 1,177 | 142 | 197 | 51.90 | 17.2 | 12.4 |
Conference Average | 113 | 2,447 | 1,043 | 130 | 183 | 42.43 | 19.5 | 13.5 | 2,479 | 1,077 | 131 | 192 | 56.56 | 19.3 | 13.0 |
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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 |
76.69 |
2018-11-10 | Green Bay, Wis. |
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GAME |
74.97 |
2018-11-10 | Highland Heights, KY |
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GAME |
74.48 |
2018-09-28 | Cleveland, Ohio |
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GAME |
74.16 |
2018-11-04 | Cleveland, Ohio |
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GAME |
73.32 |
2018-10-27 | Rochester, Mich. |
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GAME |
73.32 |
2018-11-09 | Dayton, OH |
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GAME |
72.76 |
2018-09-22 | Fairborn, Ohio |
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GAME |
72.56 |
2018-10-19 | Milwaukee, Wis. |
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GAME |
72.55 |
2018-10-12 | Green Bay, Wis. |
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GAME |
72.04 |
2018-10-31 | Indianapolis, Ind. |
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Name | Team | Role |
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Abby Boatman | IUPUI | A |
Haley Libs | Northern Ky. | A |
Bailey Western | Northern Ky. | A |
Taylor Wolf | Green Bay | A |
Ashton Terrill | Northern Ky. | D |
Jordan Lentz | Oakland | S |
Lainey Stephenson | Wright St. | S |
Name | Team | Role |
---|---|---|
Trinniti Hall | Cleveland St. | A |
Alannah Lemming | Wright St. | A |
Ashley Sledge | Green Bay | A |
Jamie Walling | Oakland | A |
Vanessa Buman | Green Bay | D |
Maggie Gibson | IUPUI | D |
Maddie Yoss | Green Bay | S |
Rank | Name | Team |
---|---|---|
1 | Haley Libs | Northern Ky. |
2 | Taylor Wolf | Green Bay |
3 | Jordan Lentz | Oakland |
4 | Lainey Stephenson | Wright St. |
5 | Maggie Gibson | IUPUI |
Rank | Name | Team |
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1 | Haley Libs | Northern Ky. |
2 | Taylor Wolf | Green Bay |
3 | Trinniti Hall | Cleveland St. |
4 | Jamie Walling | Oakland |
5 | Abby Boatman | IUPUI |
Rank | Name | Team |
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1 | Jordan Lentz | Oakland |
2 | Lainey Stephenson | Wright St. |
3 | Maddie Yoss | Green Bay |
4 | Marija Borcic | UIC |
5 | Christina Grecol | Cleveland St. |
Rank | Name | Team |
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1 | Ashton Terrill | Northern Ky. |
2 | Vanessa Buman | Green Bay |
3 | Manuela Conte | UIC |
4 | Rachael Dohar | Cleveland St. |
5 | Margaux Thompson | Youngstown St. |
Rk. | Name | Team | WPA |
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1 | Haley Libs | Northern Ky. | 35.5020 |
2 | Taylor Wolf | Green Bay | 30.7146 |
3 | Lainey Stephenson | Wright St. | 26.8970 |
4 | Maddie Yoss | Green Bay | 25.4597 |
5 | Jordan Lentz | Oakland | 25.3163 |
6 | Marija Borcic | UIC | 24.9200 |
7 | Ashton Terrill | Northern Ky. | 24.3000 |
8 | Emily DeGeorge | Cleveland St. | 24.0859 |
9 | Maggie Gibson | IUPUI | 22.7592 |
10 | Christina Grecol | Cleveland St. | 21.6200 |
Rk. | Name | Team | OWPA |
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1 | Haley Libs | Northern Ky. | 18.8545 |
2 | Taylor Wolf | Green Bay | 17.1661 |
3 | Maddie Yoss | Green Bay | 16.4396 |
4 | Lainey Stephenson | Wright St. | 15.4338 |
5 | Jordan Lentz | Oakland | 15.2132 |
6 | Christina Grecol | Cleveland St. | 14.3948 |
7 | Marija Borcic | UIC | 13.9252 |
8 | Jamie Walling | Oakland | 13.1300 |
9 | Maggie Gibson | IUPUI | 12.1625 |
10 | Trinniti Hall | Cleveland St. | 11.6716 |
Rk. | Name | Team | DWPA |
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1 | Ashton Terrill | Northern Ky. | 23.1131 |
2 | Vanessa Buman | Green Bay | 19.7357 |
3 | Rachael Dohar | Cleveland St. | 19.1192 |
4 | Jess Grabowski | Milwaukee | 18.2203 |
5 | Jenna Story | Wright St. | 18.0092 |
6 | Lindsay Wightman | Oakland | 17.3419 |
7 | Manuela Conte | UIC | 16.8350 |
8 | Haley Libs | Northern Ky. | 16.6476 |
9 | Emily DeGeorge | Cleveland St. | 15.6131 |
10 | Rhiannon Schuenemann | IUPUI | 14.4166 |
Rk. | Name | Team | WPA/S |
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1 | Haley Libs | Northern Ky. | 0.2934 |
2 | Taylor Wolf | Green Bay | 0.2718 |
3 | Jordan Lentz | Oakland | 0.2366 |
4 | Lainey Stephenson | Wright St. | 0.2359 |
5 | Maggie Gibson | IUPUI | 0.2346 |
6 | Maddie Yoss | Green Bay | 0.2253 |
7 | Emily DeGeorge | Cleveland St. | 0.2113 |
8 | Marija Borcic | UIC | 0.2112 |
9 | Ashton Terrill | Northern Ky. | 0.2008 |
10 | Christina Grecol | Cleveland St. | 0.1965 |
Rk. | Name | Team | OWPA/S |
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1 | Haley Libs | Northern Ky. | 0.1558 |
2 | Taylor Wolf | Green Bay | 0.1519 |
3 | Maddie Yoss | Green Bay | 0.1455 |
4 | Jordan Lentz | Oakland | 0.1422 |
5 | Lainey Stephenson | Wright St. | 0.1354 |
6 | Christina Grecol | Cleveland St. | 0.1309 |
7 | Maggie Gibson | IUPUI | 0.1254 |
8 | Jamie Walling | Oakland | 0.1216 |
9 | Marija Borcic | UIC | 0.1180 |
10 | Trinniti Hall | Cleveland St. | 0.1024 |
Rk. | Name | Team | DWPA/S |
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1 | Ashton Terrill | Northern Ky. | 0.1910 |
2 | Vanessa Buman | Green Bay | 0.1747 |
3 | Rachael Dohar | Cleveland St. | 0.1677 |
4 | Lindsay Wightman | Oakland | 0.1652 |
5 | Jess Grabowski | Milwaukee | 0.1598 |
6 | Jenna Story | Wright St. | 0.1580 |
7 | Manuela Conte | UIC | 0.1427 |
8 | Haley Libs | Northern Ky. | 0.1376 |
9 | Emily DeGeorge | Cleveland St. | 0.1370 |
10 | Rhiannon Schuenemann | IUPUI | 0.1335 |
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.