Nerdly Nebraska.
2023-2024 HuskerGeek Ratings Leaders
Sport | School | Rating |
---|---|---|
ViPR D1 Volleyball | Wisconsin | 1,711.3731 |
Sport | School | Rating |
---|---|---|
ViPR D1 Volleyball | Wisconsin | 1,711.3731 |
Rnk. | Team | Résumé | Recent | ViPR | Adj SP% | Adj SO% | Adj. Hit Mar. |
---|---|---|---|---|---|---|---|
1st | Texas | 1,776.2949 | 1,716.3443 | 1,746.0623 | 52.76 | 73.65 | 0.272 |
2nd | Kansas | 1,745.3409 | 1,669.0165 | 1,706.7521 | 51.83 | 70.72 | 0.201 |
3rd | Iowa St. | 1,713.6917 | 1,642.2995 | 1,677.6159 | 50.22 | 68.57 | 0.188 |
4th | Kansas St. | 1,699.1825 | 1,620.7834 | 1,659.5200 | 48.61 | 69.87 | 0.168 |
5th | Baylor | 1,672.0262 | 1,608.0355 | 1,639.7187 | 49.37 | 64.65 | 0.139 |
6th | TCU | 1,669.8756 | 1,593.0580 | 1,631.0146 | 47.64 | 66.96 | 0.143 |
7th | Oklahoma | 1,666.4127 | 1,595.6181 | 1,630.6313 | 46.01 | 67.49 | 0.125 |
8th | West Virginia | 1,617.5091 | 1,547.9222 | 1,582.3332 | 46.26 | 62.42 | 0.085 |
9th | Texas Tech | 1,594.4365 | 1,512.3965 | 1,552.8748 | 43.90 | 62.75 | 0.059 |
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 | 0.3842 | 47.90 | 9.47 | 44.63 | 41.74 | 3.17 | 5.76 |
2nd | Iowa St. | 0.3113 | 44.06 | 12.93 | 41.20 | 41.91 | 5.35 | 6.27 |
3rd | Kansas St. | 0.3063 | 43.15 | 12.52 | 40.72 | 43.72 | 5.12 | 6.49 |
4th | Oklahoma | 0.3008 | 43.44 | 13.36 | 40.47 | 42.60 | 6.13 | 4.61 |
5th | Kansas | 0.2897 | 40.71 | 11.74 | 38.06 | 46.79 | 3.92 | 7.07 |
6th | TCU | 0.2878 | 39.97 | 11.19 | 36.60 | 48.82 | 3.85 | 7.18 |
7th | Baylor | 0.2673 | 40.13 | 13.40 | 37.33 | 45.73 | 5.59 | 6.20 |
8th | Texas Tech | 0.2454 | 38.77 | 14.23 | 36.32 | 47.97 | 5.86 | 5.50 |
9th | West Virginia | 0.2354 | 39.80 | 16.26 | 36.61 | 43.65 | 6.69 | 5.54 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | Kansas | 0.0886 | 27.53 | 18.68 | 26.07 | 57.56 | 7.49 | 2.93 |
2nd | Texas | 0.1122 | 29.99 | 18.77 | 28.50 | 53.67 | 8.06 | 4.10 |
3rd | Iowa St. | 0.1230 | 28.72 | 16.42 | 26.47 | 55.86 | 6.29 | 4.41 |
4th | Baylor | 0.1280 | 30.34 | 17.54 | 28.28 | 53.75 | 7.10 | 5.08 |
5th | Kansas St. | 0.1380 | 31.17 | 17.38 | 29.44 | 53.88 | 7.58 | 2.54 |
6th | TCU | 0.1443 | 31.31 | 16.88 | 29.28 | 53.25 | 6.90 | 3.72 |
7th | West Virginia | 0.1504 | 32.53 | 17.49 | 30.75 | 49.58 | 8.03 | 4.86 |
8th | Oklahoma | 0.1760 | 34.39 | 16.79 | 32.24 | 50.85 | 6.58 | 4.17 |
9th | Texas Tech | 0.1865 | 35.08 | 16.43 | 33.11 | 50.45 | 5.95 | 5.27 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,647.3914 | 1,646.7980 | 1,647.7001 | 1,643.4178 | 1,646.3268 |
Difference | -0.5935 | 0.3087 | -3.9736 | -1.4195 |
Offense | Defense | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Team | Sets | S | SP | SA | SE | SP% | S/SA | S/SE | OS | SPA | SAA | SEA | SO% | OS/SAA | OS/SEA |
Texas | 120 | 2,714 | 1,234 | 117 | 273 | 45.47 | 23.2 | 9.9 | 2,321 | 798 | 111 | 251 | 65.62 | 20.9 | 9.2 |
Kansas | 115 | 2,462 | 1,122 | 151 | 268 | 45.57 | 16.3 | 9.2 | 2,104 | 736 | 68 | 223 | 65.02 | 30.9 | 9.4 |
Iowa St. | 110 | 2,452 | 1,037 | 118 | 226 | 42.29 | 20.8 | 10.8 | 2,318 | 886 | 112 | 238 | 61.78 | 20.7 | 9.7 |
Kansas St. | 119 | 2,698 | 1,102 | 141 | 241 | 40.85 | 19.1 | 11.2 | 2,553 | 947 | 79 | 227 | 62.91 | 32.3 | 11.2 |
Baylor | 130 | 2,731 | 1,191 | 144 | 235 | 43.61 | 19.0 | 11.6 | 2,604 | 1,044 | 140 | 248 | 59.91 | 18.6 | 10.5 |
Oklahoma | 106 | 2,393 | 980 | 91 | 133 | 40.95 | 26.3 | 18.0 | 2,274 | 861 | 110 | 213 | 62.14 | 20.7 | 10.7 |
TCU | 108 | 2,279 | 892 | 129 | 195 | 39.14 | 17.7 | 11.7 | 2,321 | 934 | 92 | 203 | 59.76 | 25.2 | 11.4 |
West Virginia | 116 | 2,477 | 1,012 | 110 | 265 | 40.86 | 22.5 | 9.3 | 2,557 | 1,089 | 135 | 230 | 57.41 | 18.9 | 11.1 |
Texas Tech | 112 | 2,332 | 889 | 103 | 184 | 38.12 | 22.6 | 12.7 | 2,481 | 1,059 | 140 | 237 | 57.32 | 17.7 | 10.5 |
Conference Average | 115 | 2,504 | 1,051 | 123 | 224 | 41.87 | 20.8 | 11.6 | 2,393 | 928 | 110 | 230 | 61.32 | 22.9 | 10.4 |
|
|
|
Game Link | EPIC | Game Date | Location | Teams | Sets | Set 1 | Set 2 | Set 3 | Set 4 | Set 5 |
---|---|---|---|---|---|---|---|---|---|---|
GAME |
80.86 |
2016-09-28 | Norman, Okla. |
|
|
|
|
|
|
|
GAME |
80.22 |
2016-11-16 | Fort Worth, Texas |
|
|
|
|
|
|
|
GAME |
79.32 |
2016-11-12 | Ames, Iowa |
|
|
|
|
|
|
|
GAME |
79.05 |
2016-10-01 | Manhattan, Kan. |
|
|
|
|
|
|
|
GAME |
78.93 |
2016-10-08 | Manhattan, Kan. |
|
|
|
|
|
|
|
GAME |
78.36 |
2016-11-09 | Norman, Okla. |
|
|
|
|
|
|
|
GAME |
78.24 |
2016-10-08 | Austin, TX |
|
|
|
|
|
|
|
GAME |
78.15 |
2016-11-19 | Lubbock, Texas |
|
|
|
|
|
|
|
GAME |
78.10 |
2016-11-05 | Norman, Okla. |
|
|
|
|
|
|
|
GAME |
77.74 |
2016-10-26 | Ames, Iowa |
|
|
|
|
|
|
Name | Team | Role |
---|---|---|
Morgan Johnson | Texas | A |
Tayler Soucie | Kansas | A |
Katie Staiger | Baylor | A |
Micaya White | Texas | A |
Cassie Wait | Kansas | D |
Katie Brand | Kansas St. | S |
Chloe Collins | Texas | S |
Name | Team | Role |
---|---|---|
Yaasmeen Bedart-Ghani | Texas | A |
Ebony Nwanebu | Texas | A |
Kelsie Payne | Kansas | A |
Micaela Spann | Oklahoma | A |
Bryna Vogel | Kansas St. | A |
Cat McCoy | Texas | D |
Ainise Havili | Kansas | S |
Rank | Name | Team |
---|---|---|
1 | Katie Staiger | Baylor |
2 | Katie Brand | Kansas St. |
3 | Micaya White | Texas |
4 | Chloe Collins | Texas |
5 | Ebony Nwanebu | Texas |
Rank | Name | Team |
---|---|---|
1 | Katie Staiger | Baylor |
2 | Micaya White | Texas |
3 | Ebony Nwanebu | Texas |
4 | Kelsie Payne | Kansas |
5 | Bryna Vogel | Kansas St. |
Rank | Name | Team |
---|---|---|
1 | Katie Brand | Kansas St. |
2 | Chloe Collins | Texas |
3 | Ainise Havili | Kansas |
4 | Morgan Reed | Baylor |
5 | Audrey Alford | Oklahoma |
Rank | Name | Team |
---|---|---|
1 | Cassie Wait | Kansas |
2 | Cat McCoy | Texas |
3 | Sarita Mikals | TCU |
4 | Hali Hillegas | Iowa St. |
5 | Jillian Bergeson | TCU |
Rk. | Name | Team | WPA |
---|---|---|---|
1 | Katie Staiger | Baylor | 34.9102 |
2 | Katie Brand | Kansas St. | 30.6307 |
3 | Morgan Reed | Baylor | 25.9632 |
4 | Bryna Vogel | Kansas St. | 23.6813 |
5 | Micaya White | Texas | 23.4240 |
6 | Chloe Collins | Texas | 23.3980 |
7 | Ainise Havili | Kansas | 22.0469 |
8 | Payton Caffrey | West Virginia | 21.4851 |
9 | Brooke Sassin | Kansas St. | 20.6254 |
10 | Kelsie Payne | Kansas | 20.5265 |
Rk. | Name | Team | OWPA |
---|---|---|---|
1 | Katie Staiger | Baylor | 22.4940 |
2 | Katie Brand | Kansas St. | 19.1075 |
3 | Morgan Reed | Baylor | 17.0319 |
4 | Chloe Collins | Texas | 15.1293 |
5 | Micaya White | Texas | 13.8503 |
6 | Ebony Nwanebu | Texas | 13.5971 |
7 | Audrey Alford | Oklahoma | 13.2941 |
8 | Kelsie Payne | Kansas | 12.7678 |
9 | Payton Caffrey | West Virginia | 12.3757 |
10 | Ainise Havili | Kansas | 12.2675 |
Rk. | Name | Team | DWPA |
---|---|---|---|
1 | Reyn Akiu | Texas Tech | 17.7521 |
2 | Cassie Wait | Kansas | 17.0002 |
3 | Jana Brusek | Baylor | 16.9991 |
4 | Gianna Gotterba | West Virginia | 14.6557 |
5 | Kersten Kober | Kansas St. | 14.4295 |
6 | Cat McCoy | Texas | 14.3072 |
7 | Hali Hillegas | Iowa St. | 13.3952 |
8 | Jillian Bergeson | TCU | 13.2641 |
9 | Katie Staiger | Baylor | 12.4161 |
10 | Aniah Philo | Baylor | 12.1078 |
Rk. | Name | Team | WPA/S |
---|---|---|---|
1 | Katie Staiger | Baylor | 0.2815 |
2 | Katie Brand | Kansas St. | 0.2574 |
3 | Chloe Collins | Texas | 0.2127 |
4 | Micaya White | Texas | 0.2073 |
5 | Morgan Reed | Baylor | 0.2061 |
6 | Kelsie Payne | Kansas | 0.2032 |
7 | Bryna Vogel | Kansas St. | 0.2007 |
8 | Ainise Havili | Kansas | 0.2004 |
9 | Kimmy Gardiner | Oklahoma | 0.1990 |
10 | Jess Schaben | Iowa St. | 0.1917 |
Rk. | Name | Team | OWPA/S |
---|---|---|---|
1 | Katie Staiger | Baylor | 0.1814 |
2 | Katie Brand | Kansas St. | 0.1606 |
3 | Chloe Collins | Texas | 0.1375 |
4 | Morgan Reed | Baylor | 0.1352 |
5 | Kelsie Payne | Kansas | 0.1264 |
6 | Audrey Alford | Oklahoma | 0.1254 |
7 | Ebony Nwanebu | Texas | 0.1236 |
8 | Micaya White | Texas | 0.1226 |
9 | Marguerite Grubb | Texas Tech | 0.1175 |
10 | Ainise Havili | Kansas | 0.1115 |
Rk. | Name | Team | DWPA/S |
---|---|---|---|
1 | Reyn Akiu | Texas Tech | 0.1614 |
2 | Cassie Wait | Kansas | 0.1545 |
3 | Jana Brusek | Baylor | 0.1349 |
4 | Kersten Kober | Kansas St. | 0.1277 |
5 | Hali Hillegas | Iowa St. | 0.1276 |
6 | Gianna Gotterba | West Virginia | 0.1263 |
7 | Cat McCoy | Texas | 0.1255 |
8 | Jillian Bergeson | TCU | 0.1251 |
9 | Kimmy Gardiner | Oklahoma | 0.1108 |
10 | Sarita Mikals | TCU | 0.1095 |
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.