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. |
---|---|---|---|---|---|---|---|
1st | Texas | 1,824.9029 | 1,803.7355 | 1,814.2883 | 52.85 | 73.72 | 0.297 |
2nd | Baylor | 1,769.9230 | 1,760.8112 | 1,765.3612 | 51.32 | 69.90 | 0.220 |
3rd | Iowa St. | 1,758.8364 | 1,760.7383 | 1,759.7871 | 50.38 | 69.52 | 0.207 |
4th | Kansas | 1,752.0566 | 1,732.0459 | 1,742.0225 | 49.67 | 67.73 | 0.176 |
5th | West Virginia | 1,689.0536 | 1,686.1150 | 1,687.5837 | 47.75 | 64.02 | 0.123 |
6th | Texas Tech | 1,674.1787 | 1,666.4096 | 1,670.2896 | 45.55 | 64.27 | 0.080 |
7th | Kansas St. | 1,666.7469 | 1,657.2300 | 1,661.9816 | 45.28 | 64.06 | 0.108 |
8th | TCU | 1,653.7964 | 1,638.5415 | 1,646.1513 | 45.88 | 61.82 | 0.065 |
9th | Oklahoma | 1,641.3623 | 1,640.6494 | 1,641.0058 | 44.87 | 60.87 | 0.035 |
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 | Texas | 0.3813 | 46.77 | 8.64 | 43.12 | 44.61 | 2.91 | 5.22 |
2nd | Baylor | 0.3195 | 44.95 | 13.00 | 41.87 | 41.32 | 5.31 | 6.04 |
3rd | Kansas | 0.3114 | 43.24 | 12.09 | 40.49 | 44.81 | 3.81 | 4.59 |
4th | Iowa St. | 0.2947 | 41.16 | 11.69 | 38.01 | 46.83 | 3.92 | 6.19 |
5th | Kansas St. | 0.2712 | 39.67 | 12.55 | 36.76 | 48.55 | 4.74 | 6.67 |
6th | West Virginia | 0.2655 | 42.18 | 15.63 | 39.99 | 42.89 | 5.88 | 6.41 |
7th | Texas Tech | 0.2551 | 39.04 | 13.52 | 36.52 | 47.04 | 5.78 | 4.95 |
8th | TCU | 0.2410 | 39.61 | 15.51 | 37.01 | 46.16 | 5.97 | 5.55 |
9th | Oklahoma | 0.2302 | 40.04 | 17.02 | 37.58 | 44.17 | 6.86 | 4.93 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
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1st | Texas | 0.0848 | 27.94 | 19.46 | 26.73 | 55.11 | 9.25 | 4.72 |
2nd | Iowa St. | 0.0878 | 26.78 | 18.00 | 25.23 | 57.86 | 8.26 | 4.35 |
3rd | Baylor | 0.0996 | 27.51 | 17.55 | 26.21 | 56.56 | 6.98 | 4.34 |
4th | Kansas | 0.1356 | 30.23 | 16.66 | 28.38 | 54.86 | 6.10 | 4.06 |
5th | West Virginia | 0.1422 | 32.55 | 18.33 | 30.62 | 50.81 | 7.12 | 5.06 |
6th | Kansas St. | 0.1633 | 33.05 | 16.71 | 30.94 | 51.85 | 6.59 | 3.99 |
7th | Texas Tech | 0.1749 | 32.78 | 15.29 | 31.12 | 53.15 | 5.76 | 3.83 |
8th | TCU | 0.1758 | 33.80 | 16.22 | 32.01 | 52.25 | 6.59 | 4.64 |
9th | Oklahoma | 0.1950 | 34.86 | 15.37 | 31.94 | 50.43 | 5.74 | 4.43 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,709.8301 | 1,704.7396 | 1,704.3329 | 1,699.9653 | 1,704.7170 |
Difference | -5.0906 | -5.4972 | -9.8649 | -6.8175 |
Offense | Defense | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Team | Sets | S | SP | SA | SE | SP% | S/SA | S/SE | OS | SPA | SAA | SEA | SO% | OS/SAA | OS/SEA |
Texas | 106 | 2,503 | 1,135 | 101 | 245 | 45.35 | 24.8 | 10.2 | 2,096 | 694 | 107 | 217 | 66.89 | 19.6 | 9.7 |
Baylor | 112 | 2,586 | 1,176 | 128 | 233 | 45.48 | 20.2 | 11.1 | 2,241 | 804 | 98 | 196 | 64.12 | 22.9 | 11.4 |
Iowa St. | 102 | 2,357 | 1,032 | 115 | 216 | 43.78 | 20.5 | 10.9 | 2,125 | 777 | 89 | 181 | 63.44 | 23.9 | 11.7 |
Kansas | 118 | 2,666 | 1,148 | 95 | 212 | 43.06 | 28.1 | 12.6 | 2,472 | 932 | 105 | 233 | 62.30 | 23.5 | 10.6 |
West Virginia | 125 | 2,776 | 1,217 | 163 | 257 | 43.84 | 17.0 | 10.8 | 2,646 | 1,069 | 134 | 241 | 59.60 | 19.7 | 11.0 |
Texas Tech | 125 | 2,765 | 1,152 | 120 | 206 | 41.66 | 23.0 | 13.4 | 2,690 | 1,077 | 106 | 243 | 59.96 | 25.4 | 11.1 |
TCU | 113 | 2,468 | 1,000 | 113 | 217 | 40.52 | 21.8 | 11.4 | 2,567 | 1,102 | 116 | 234 | 57.07 | 22.1 | 11.0 |
Kansas St. | 116 | 2,434 | 953 | 137 | 237 | 39.15 | 17.8 | 10.3 | 2,534 | 1,061 | 102 | 184 | 58.13 | 24.8 | 13.8 |
Oklahoma | 107 | 2,213 | 853 | 88 | 146 | 38.55 | 25.1 | 15.2 | 2,431 | 1,087 | 117 | 223 | 55.29 | 20.8 | 10.9 |
Conference Average | 114 | 2,530 | 1,074 | 118 | 219 | 42.38 | 22.0 | 11.8 | 2,422 | 956 | 108 | 217 | 60.75 | 22.5 | 11.2 |
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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 |
83.24 |
2017-09-27 | Lawrence, KS |
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GAME |
82.22 |
2017-10-11 | Lawrence, KS |
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GAME |
81.32 |
2017-09-23 | Morgantown, W.Va. |
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GAME |
80.93 |
2017-11-11 | Ames, Iowa |
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GAME |
80.52 |
2017-11-01 | Manhattan, Kan. |
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GAME |
80.42 |
2017-11-25 | Waco, Texas |
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GAME |
80.41 |
2017-09-29 | Lubbock, Texas |
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GAME |
79.92 |
2017-09-23 | Ames, Iowa |
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GAME |
79.82 |
2017-11-25 | Lawrence, KS |
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GAME |
79.77 |
2017-09-27 | Lubbock, Texas |
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Name | Team | Role |
---|---|---|
Ebony Nwanebu | Texas | A |
Chiaka Ogbogu | Texas | A |
Jess Schaben | Iowa St. | A |
Micaya White | Texas | A |
Cat McCoy | Texas | D |
Ainise Havili | Kansas | S |
Ashley Shook | Texas | S |
Name | Team | Role |
---|---|---|
Morgan Johnson | Texas | A |
Kelsie Payne | Kansas | A |
Madison Rigdon | Kansas | A |
Katie Staiger | Baylor | A |
Samara West | Iowa St. | A |
Hali Hillegas | Iowa St. | D |
Monique Harris | Iowa St. | S |
Rank | Name | Team |
---|---|---|
1 | Ashley Shook | Texas |
2 | Micaya White | Texas |
3 | Ainise Havili | Kansas |
4 | Jess Schaben | Iowa St. |
5 | Madison Rigdon | Kansas |
Rank | Name | Team |
---|---|---|
1 | Micaya White | Texas |
2 | Jess Schaben | Iowa St. |
3 | Madison Rigdon | Kansas |
4 | Chiaka Ogbogu | Texas |
5 | Kelsie Payne | Kansas |
Rank | Name | Team |
---|---|---|
1 | Ashley Shook | Texas |
2 | Ainise Havili | Kansas |
3 | Monique Harris | Iowa St. |
4 | Hannah Lockin | Baylor |
5 | Missy Owens | Texas Tech |
Rank | Name | Team |
---|---|---|
1 | Cat McCoy | Texas |
2 | Hali Hillegas | Iowa St. |
3 | Allie Nelson | Kansas |
4 | Jana Brusek | Baylor |
5 | Autumn Rounsaville | Texas |
Rk. | Name | Team | WPA |
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1 | Ainise Havili | Kansas | 28.8582 |
2 | Missy Owens | Texas Tech | 23.9790 |
3 | Alyssa Enneking | Oklahoma | 23.9373 |
4 | Payton Caffrey | West Virginia | 23.4611 |
5 | Madison Rigdon | Kansas | 23.4058 |
6 | Kelsie Payne | Kansas | 23.0443 |
7 | Emily Hill | Texas Tech | 22.7402 |
8 | Ashley Shook | Texas | 22.5007 |
9 | Jess Schaben | Iowa St. | 22.3529 |
10 | Monique Harris | Iowa St. | 21.1102 |
Rk. | Name | Team | OWPA |
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1 | Ainise Havili | Kansas | 17.3294 |
2 | Missy Owens | Texas Tech | 15.7148 |
3 | Ashley Shook | Texas | 14.6826 |
4 | Kelsie Payne | Kansas | 14.4494 |
5 | Hannah Lockin | Baylor | 14.2989 |
6 | Alyssa Enneking | Oklahoma | 13.7054 |
7 | Madison Rigdon | Kansas | 13.0472 |
8 | Payton Caffrey | West Virginia | 12.7326 |
9 | Erin Slinde | West Virginia | 12.5670 |
10 | Emily Hill | Texas Tech | 12.0105 |
Rk. | Name | Team | DWPA |
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1 | Hali Hillegas | Iowa St. | 18.4376 |
2 | Allie Nelson | Kansas | 16.8449 |
3 | Dani Dennison | TCU | 15.9268 |
4 | Kate Klepetka | Texas Tech | 14.9154 |
5 | Cat McCoy | Texas | 14.1058 |
6 | Reilly Killeen | Kansas St. | 12.8251 |
7 | Aniah Philo | Baylor | 12.6911 |
8 | Jana Brusek | Baylor | 12.5813 |
9 | Ainise Havili | Kansas | 11.5288 |
10 | Reyn Akiu | Texas Tech | 11.3194 |
Rk. | Name | Team | WPA/S |
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1 | Ainise Havili | Kansas | 0.2446 |
2 | Alyssa Enneking | Oklahoma | 0.2258 |
3 | Madison Rigdon | Kansas | 0.2208 |
4 | Jess Schaben | Iowa St. | 0.2191 |
5 | Missy Owens | Texas Tech | 0.2141 |
6 | Ashley Shook | Texas | 0.2123 |
7 | Monique Harris | Iowa St. | 0.2070 |
8 | Kelsie Payne | Kansas | 0.1953 |
9 | Bryna Vogel | Kansas St. | 0.1912 |
10 | Payton Caffrey | West Virginia | 0.1892 |
Rk. | Name | Team | OWPA/S |
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1 | Ainise Havili | Kansas | 0.1469 |
2 | Missy Owens | Texas Tech | 0.1403 |
3 | Ashley Shook | Texas | 0.1385 |
4 | Alyssa Enneking | Oklahoma | 0.1293 |
5 | Hannah Lockin | Baylor | 0.1277 |
6 | Madison Rigdon | Kansas | 0.1231 |
7 | Kelsie Payne | Kansas | 0.1225 |
8 | Erin Slinde | West Virginia | 0.1220 |
9 | Monique Harris | Iowa St. | 0.1163 |
10 | Samara West | Iowa St. | 0.1105 |
Rk. | Name | Team | DWPA/S |
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1 | Hali Hillegas | Iowa St. | 0.1808 |
2 | Dani Dennison | TCU | 0.1448 |
3 | Allie Nelson | Kansas | 0.1428 |
4 | Cat McCoy | Texas | 0.1343 |
5 | Kate Klepetka | Texas Tech | 0.1193 |
6 | Gianna Gotterba | West Virginia | 0.1192 |
7 | Aniah Philo | Baylor | 0.1133 |
8 | Jana Brusek | Baylor | 0.1123 |
9 | Reilly Killeen | Kansas St. | 0.1106 |
10 | Jess Schaben | Iowa St. | 0.1090 |
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.