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 | Wis.-Stevens Point | 1,542.8444 | 1,546.2626 | 1,544.5526 | 40.22 | 50.26 | 0.310 |
2nd | Wis.-Whitewater | 1,501.9941 | 1,501.0628 | 1,501.5284 | 60.64 | 69.17 | 0.290 |
3rd | Wis.-Eau Claire | 1,457.0832 | 1,462.0856 | 1,459.5823 | 56.10 | 67.71 | 0.214 |
4th | Wis.-Oshkosh | 1,433.0193 | 1,436.8540 | 1,434.9354 | 57.44 | 63.52 | 0.201 |
5th | Wis.-La Crosse | 1,415.4810 | 1,408.6794 | 1,412.0761 | 52.38 | 67.08 | 0.185 |
6th | Wis.-Platteville | 1,377.9689 | 1,401.3074 | 1,389.5891 | 54.11 | 61.00 | 0.153 |
7th | Wis.-Superior | 1,363.5013 | 1,357.5270 | 1,360.5109 | 51.69 | 60.83 | 0.119 |
8th | Wis.-River Falls | 1,366.7610 | 1,348.6201 | 1,357.6602 | 50.98 | 61.33 | 0.139 |
9th | Wis.-Stout | 1,334.9652 | 1,338.7007 | 1,336.8317 | 50.63 | 58.52 | 0.114 |
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 | Wis.-Stevens Point | 0.3339 | 44.22 | 10.82 | 40.22 | 43.39 | 2.77 | 10.89 |
2nd | Wis.-Whitewater | 0.3116 | 44.50 | 13.33 | 40.36 | 42.70 | 3.23 | 10.01 |
3rd | Wis.-Oshkosh | 0.2850 | 41.47 | 12.97 | 37.05 | 51.60 | 4.53 | 8.14 |
4th | Wis.-Eau Claire | 0.2831 | 40.79 | 12.49 | 37.68 | 45.77 | 2.47 | 10.44 |
5th | Wis.-La Crosse | 0.2793 | 43.29 | 15.36 | 39.99 | 45.94 | 3.50 | 9.66 |
6th | Wis.-Superior | 0.2468 | 38.37 | 13.69 | 36.06 | 49.78 | 3.58 | 9.44 |
7th | Wis.-Platteville | 0.2390 | 38.76 | 14.87 | 34.37 | 48.19 | 3.02 | 8.91 |
8th | Wis.-River Falls | 0.2264 | 37.03 | 14.39 | 32.36 | 47.22 | 3.95 | 10.20 |
9th | Wis.-Stout | 0.2177 | 37.22 | 15.45 | 34.31 | 47.06 | 4.11 | 8.56 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
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1st | Wis.-Whitewater | 0.0214 | 22.50 | 20.36 | 20.83 | 61.89 | 8.00 | 5.19 |
2nd | Wis.-Stevens Point | 0.0242 | 22.38 | 19.96 | 21.26 | 62.69 | 8.83 | 5.16 |
3rd | Wis.-Eau Claire | 0.0690 | 25.00 | 18.10 | 22.98 | 60.98 | 6.90 | 4.65 |
4th | Wis.-Oshkosh | 0.0837 | 25.48 | 17.11 | 23.65 | 59.16 | 6.99 | 5.82 |
5th | Wis.-Platteville | 0.0856 | 26.20 | 17.63 | 24.69 | 58.09 | 6.45 | 4.65 |
6th | Wis.-River Falls | 0.0870 | 26.42 | 17.73 | 24.05 | 65.70 | 6.48 | 5.69 |
7th | Wis.-La Crosse | 0.0941 | 27.52 | 18.11 | 26.16 | 58.29 | 7.04 | 6.18 |
8th | Wis.-Stout | 0.1041 | 26.44 | 16.03 | 25.07 | 67.24 | 5.86 | 8.41 |
9th | Wis.-Superior | 0.1277 | 28.29 | 15.52 | 26.78 | 57.69 | 5.06 | 6.00 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,421.9185 | 1,416.5546 | 1,411.3388 | 1,412.2002 | 1,415.5030 |
Difference | -5.3639 | -10.5798 | -9.7183 | -8.5540 |
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 |
Wis.-Whitewater | 141 | 2,279 | 1,142 | 216 | 301 | 50.11 | 10.6 | 7.6 | 1,951 | 795 | 186 | 244 | 59.25 | 10.5 | 8.0 |
Wis.-Oshkosh | 121 | 630 | 314 | 185 | 195 | 49.84 | 3.4 | 3.2 | 567 | 249 | 141 | 209 | 56.09 | 4.0 | 2.7 |
Wis.-Superior | 120 | 1,866 | 928 | 207 | 192 | 49.73 | 9.0 | 9.7 | 1,693 | 746 | 169 | 198 | 55.94 | 10.0 | 8.6 |
Wis.-Stout | 111 | 855 | 429 | 133 | 158 | 50.18 | 6.4 | 5.4 | 789 | 365 | 190 | 200 | 53.74 | 4.2 | 3.9 |
Wis.-River Falls | 102 | 1,140 | 532 | 164 | 213 | 46.67 | 7.0 | 5.4 | 1,095 | 487 | 129 | 166 | 55.53 | 8.5 | 6.6 |
Wis.-Platteville | 121 | 1,870 | 889 | 170 | 213 | 47.54 | 11.0 | 8.8 | 1,869 | 881 | 165 | 185 | 52.86 | 11.3 | 10.1 |
Wis.-Eau Claire | 120 | 1,244 | 548 | 173 | 182 | 44.05 | 7.2 | 6.8 | 1,250 | 558 | 129 | 203 | 55.36 | 9.7 | 6.2 |
Wis.-La Crosse | 106 | 823 | 340 | 131 | 243 | 41.31 | 6.3 | 3.4 | 855 | 374 | 136 | 189 | 56.26 | 6.3 | 4.5 |
Conference Average | 118 | 1,338 | 640 | 172 | 212 | 47.43 | 7.6 | 6.3 | 1,259 | 557 | 156 | 199 | 55.63 | 8.1 | 6.3 |
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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 |
67.30 |
2013-10-30 | Whitewater, Wis. |
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GAME |
66.85 |
2013-09-18 | Whitewater, Wis. |
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GAME |
66.81 |
2013-10-25 | Whitewater, Wis. |
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GAME |
65.09 |
2013-10-04 | Eau Claire, WI |
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GAME |
64.01 |
2013-10-04 | Superior, WI |
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GAME |
63.98 |
2013-10-02 | Superior, WI |
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GAME |
63.01 |
2013-10-05 | Superior, WI |
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GAME |
62.82 |
2013-10-25 | Platteville, Wis. |
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GAME |
61.61 |
2013-09-25 | Platteville, Wis. |
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GAME |
61.32 |
2013-10-26 | Whitewater, Wis. |
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Rank | Name | Team |
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1 | Keely Deadrick | Wis.-Superior |
2 | Kitty Tynen | Wis.-Superior |
3 | Kim Frei | Wis.-Whitewater |
4 | Kelsey Nobilio | Wis.-Whitewater |
5 | Ariel Feiertag | Wis.-Whitewater |
Rank | Name | Team |
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1 | Ariel Feiertag | Wis.-Whitewater |
2 | Lauren Pfeifer | Wis.-Whitewater |
3 | Alivia Holman | Wis.-Whitewater |
4 | Stephanie Kirchner | Wis.-Platteville |
5 | Kelly Schuh | Wis.-Eau Claire |
Rank | Name | Team |
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1 | Keely Deadrick | Wis.-Superior |
2 | Kim Frei | Wis.-Whitewater |
3 | Katie O'Malley | Wis.-Platteville |
4 | Cassie Raduka | Wis.-La Crosse |
5 | Jenna Smits | Wis.-Eau Claire |
Rank | Name | Team |
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1 | Kelsey Nobilio | Wis.-Whitewater |
2 | Lindsey Decker | Wis.-Platteville |
3 | Lauren Peterson | Wis.-Superior |
4 | Lauren Sutherland | Wis.-Eau Claire |
5 | Haley Jensen | Wis.-Platteville |
Rk. | Name | Team | WPA |
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1 | Keely Deadrick | Wis.-Superior | 16.9193 |
2 | Kitty Tynen | Wis.-Superior | 16.7505 |
3 | Kim Frei | Wis.-Whitewater | 16.0818 |
4 | Kelsey Nobilio | Wis.-Whitewater | 14.3649 |
5 | Lauren Pfeifer | Wis.-Whitewater | 13.2711 |
6 | Jessica Zimmerman | Wis.-Superior | 10.9306 |
7 | Lindsey Decker | Wis.-Platteville | 10.7216 |
8 | Kelly Schuh | Wis.-Eau Claire | 10.6649 |
9 | Lauren Peterson | Wis.-Superior | 10.2287 |
10 | Stephanie Kirchner | Wis.-Platteville | 10.0971 |
Rk. | Name | Team | OWPA |
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1 | Kim Frei | Wis.-Whitewater | 10.8603 |
2 | Keely Deadrick | Wis.-Superior | 9.8889 |
3 | Ariel Feiertag | Wis.-Whitewater | 7.4392 |
4 | Kitty Tynen | Wis.-Superior | 7.1938 |
5 | Lauren Pfeifer | Wis.-Whitewater | 6.8929 |
6 | Stephanie Kirchner | Wis.-Platteville | 6.0759 |
7 | Katie O'Malley | Wis.-Platteville | 5.8846 |
8 | Kelly Schuh | Wis.-Eau Claire | 5.4151 |
9 | Kristen Ruchti | Wis.-Whitewater | 5.0159 |
10 | Cassie Raduka | Wis.-La Crosse | 4.7940 |
Rk. | Name | Team | DWPA |
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1 | Kelsey Nobilio | Wis.-Whitewater | 13.5402 |
2 | Lauren Peterson | Wis.-Superior | 11.1396 |
3 | Lindsey Decker | Wis.-Platteville | 9.7128 |
4 | Kitty Tynen | Wis.-Superior | 9.5567 |
5 | Lauren Sutherland | Wis.-Eau Claire | 8.0672 |
6 | Haley Jensen | Wis.-Platteville | 7.6540 |
7 | Keely Deadrick | Wis.-Superior | 7.0303 |
8 | Jessica Zimmerman | Wis.-Superior | 6.9690 |
9 | Jaclyn Krizka | Wis.-Whitewater | 6.7576 |
10 | Lauren Pfeifer | Wis.-Whitewater | 6.3782 |
Rk. | Name | Team | WPA/S |
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1 | Kitty Tynen | Wis.-Superior | 0.2018 |
2 | Mandy Trautmann | Wis.-Oshkosh | 0.2004 |
3 | Keely Deadrick | Wis.-Superior | 0.1967 |
4 | Cassie Raduka | Wis.-La Crosse | 0.1944 |
5 | Karley Wiensch | Wis.-Stout | 0.1941 |
6 | Kelly Schuh | Wis.-Eau Claire | 0.1939 |
7 | Lauren Probst | Wis.-La Crosse | 0.1794 |
8 | Kim Frei | Wis.-Whitewater | 0.1767 |
9 | Lauren Sutherland | Wis.-Eau Claire | 0.1623 |
10 | Kelsey Nobilio | Wis.-Whitewater | 0.1496 |
Rk. | Name | Team | OWPA/S |
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1 | Cassie Raduka | Wis.-La Crosse | 0.1262 |
2 | Kim Frei | Wis.-Whitewater | 0.1193 |
3 | Keely Deadrick | Wis.-Superior | 0.1150 |
4 | Karley Wiensch | Wis.-Stout | 0.1068 |
5 | Kelly Schuh | Wis.-Eau Claire | 0.0985 |
6 | Ariel Feiertag | Wis.-Whitewater | 0.0942 |
7 | Lauren Probst | Wis.-La Crosse | 0.0913 |
8 | Laura Reiter | Wis.-Stout | 0.0912 |
9 | Katelyn Malcheski | Wis.-Oshkosh | 0.0871 |
10 | Kitty Tynen | Wis.-Superior | 0.0867 |
Rk. | Name | Team | DWPA/S |
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1 | Mandy Trautmann | Wis.-Oshkosh | 0.1876 |
2 | Lauren Sutherland | Wis.-Eau Claire | 0.1467 |
3 | Kelsey Nobilio | Wis.-Whitewater | 0.1410 |
4 | Lauren Peterson | Wis.-Superior | 0.1342 |
5 | Kitty Tynen | Wis.-Superior | 0.1151 |
6 | Lindsey Decker | Wis.-Platteville | 0.1104 |
7 | Courtney Geisler | Wis.-La Crosse | 0.1045 |
8 | Molly Brion | Wis.-Stout | 0.1011 |
9 | Lexi Pingel | Wis.-River Falls | 0.0977 |
10 | Kelly Schuh | Wis.-Eau Claire | 0.0954 |
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.