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 | Oakland City | 1,280.7656 | 1,323.7128 | 1,302.0621 | 37.60 | 46.55 | -0.160 |
2nd | Salem (WV) | 1,159.4339 | 1,165.4801 | 1,162.4531 | 31.22 | 38.59 | -0.287 |
3rd | Bluefield St. | 741.5623 | 748.1401 | 744.8440 | 17.64 | 12.91 | -0.810 |
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 | Oakland City | 0.0717 | 24.47 | 17.30 | 21.94 | 58.76 | 6.07 | 6.75 |
2nd | Salem (WV) | -0.0131 | 19.28 | 20.59 | 18.28 | 68.07 | 5.02 | 3.63 |
3rd | Bluefield St. | -0.2595 | 8.54 | 34.50 | 7.08 | 81.39 | 6.50 | 7.43 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | Oakland City | 0.2313 | 37.96 | 14.83 | 36.14 | 46.89 | 3.27 | 8.78 |
2nd | Salem (WV) | 0.2735 | 41.39 | 14.04 | 39.42 | 45.53 | 4.29 | 11.67 |
3rd | Bluefield St. | 0.5504 | 64.07 | 9.04 | 58.26 | 24.59 | 0.62 | 32.64 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,069.7864 | 1,162.4531 | 0.0000 | 0.0000 | 558.0599 |
Difference | 92.6667 | -1,069.7864 | -1,069.7864 | -682.3020 |
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 |
Oakland City | 22 | 467 | 247 | 57 | 27 | 52.89 | 8.2 | 17.3 | 415 | 193 | 34 | 41 | 53.49 | 12.2 | 10.1 |
Salem (WV) | 91 | 1,549 | 642 | 106 | 117 | 41.45 | 14.6 | 13.2 | 2,025 | 1,145 | 226 | 200 | 43.46 | 9.0 | 10.1 |
Bluefield St. | 39 | 276 | 75 | 27 | 55 | 27.17 | 10.2 | 5.0 | 959 | 776 | 305 | 64 | 19.08 | 3.1 | 15.0 |
Conference Average | 51 | 764 | 321 | 63 | 66 | 40.50 | 11.0 | 11.9 | 1,133 | 705 | 188 | 102 | 38.68 | 8.1 | 11.7 |
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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 |
41.03 |
2018-09-01 | Owensboro, KY |
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GAME |
39.24 |
2018-10-05 | Salem, W.Va. |
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Name | Team | Role |
---|---|---|
Nina Isaac | Salem (WV) | A |
Liane Moser | Salem (WV) | A |
Kathryne Mathis | Salem (WV) | D |
Amy Turbak | Salem (WV) | D |
Name | Team | Role |
---|---|---|
Jalavia Johnson | Salem (WV) | D |
Cassidy Pluta | Salem (WV) | D |
Rank | Name | Team |
---|---|---|
1 | Kathryne Mathis | Salem (WV) |
2 | Amy Turbak | Salem (WV) |
3 | Liane Moser | Salem (WV) |
4 | Nina Isaac | Salem (WV) |
5 | Cassidy Pluta | Salem (WV) |
Rank | Name | Team |
---|---|---|
1 | Liane Moser | Salem (WV) |
2 | Nina Isaac | Salem (WV) |
Rank | Name | Team |
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Rank | Name | Team |
---|---|---|
1 | Kathryne Mathis | Salem (WV) |
2 | Amy Turbak | Salem (WV) |
3 | Nina Isaac | Salem (WV) |
4 | Cassidy Pluta | Salem (WV) |
5 | Jalavia Johnson | Salem (WV) |
Rk. | Name | Team | WPA |
---|---|---|---|
1 | Kathryne Mathis | Salem (WV) | 6.0149 |
2 | Amy Turbak | Salem (WV) | 5.6738 |
3 | Cassidy Pluta | Salem (WV) | 5.1436 |
4 | Liane Moser | Salem (WV) | 4.8813 |
5 | Jalavia Johnson | Salem (WV) | 3.2650 |
6 | Alaina Weltz | Salem (WV) | 2.6667 |
7 | Nina Isaac | Salem (WV) | 2.2691 |
8 | Yesenia Munoz | Salem (WV) | 1.4085 |
9 | Waverly Federico | Salem (WV) | 1.3096 |
10 | Adela Parras | Salem (WV) | 0.5119 |
Rk. | Name | Team | OWPA |
---|---|---|---|
1 | Liane Moser | Salem (WV) | 2.5852 |
2 | Nina Isaac | Salem (WV) | 0.4588 |
3 | Jalavia Johnson | Salem (WV) | 0.1779 |
4 | Cassidy Pluta | Salem (WV) | -0.0589 |
5 | Adela Parras | Salem (WV) | -0.0735 |
6 | Waverly Federico | Salem (WV) | -0.0908 |
7 | Adeline Jachim | Bluefield St. | -0.2066 |
8 | Raenel Crenshaw | Bluefield St. | -0.2487 |
9 | Destinee Stephney | Bluefield St. | -0.3616 |
10 | Dellanna Carlson | Bluefield St. | -0.5244 |
Rk. | Name | Team | DWPA |
---|---|---|---|
1 | Kathryne Mathis | Salem (WV) | 6.9725 |
2 | Amy Turbak | Salem (WV) | 6.5485 |
3 | Cassidy Pluta | Salem (WV) | 5.2026 |
4 | Alaina Weltz | Salem (WV) | 3.2899 |
5 | Jalavia Johnson | Salem (WV) | 3.0871 |
6 | Liane Moser | Salem (WV) | 2.2961 |
7 | Yesenia Munoz | Salem (WV) | 1.9560 |
8 | Nina Isaac | Salem (WV) | 1.8103 |
9 | Waverly Federico | Salem (WV) | 1.4003 |
10 | Kira Lilly | Salem (WV) | 0.8032 |
Rk. | Name | Team | WPA/S |
---|---|---|---|
1 | Amy Turbak | Salem (WV) | 0.0692 |
2 | Kathryne Mathis | Salem (WV) | 0.0684 |
3 | Liane Moser | Salem (WV) | 0.0610 |
4 | Cassidy Pluta | Salem (WV) | 0.0585 |
5 | Jalavia Johnson | Salem (WV) | 0.0441 |
6 | Nina Isaac | Salem (WV) | 0.0366 |
7 | Waverly Federico | Salem (WV) | 0.0336 |
8 | Alaina Weltz | Salem (WV) | 0.0314 |
9 | Adela Parras | Salem (WV) | 0.0183 |
10 | Yesenia Munoz | Salem (WV) | 0.0181 |
Rk. | Name | Team | OWPA/S |
---|---|---|---|
1 | Liane Moser | Salem (WV) | 0.0323 |
2 | Nina Isaac | Salem (WV) | 0.0074 |
3 | Jalavia Johnson | Salem (WV) | 0.0024 |
4 | Cassidy Pluta | Salem (WV) | -0.0007 |
5 | Waverly Federico | Salem (WV) | -0.0023 |
6 | Adela Parras | Salem (WV) | -0.0026 |
7 | Adeline Jachim | Bluefield St. | -0.0053 |
8 | Yesenia Munoz | Salem (WV) | -0.0070 |
9 | Alaina Weltz | Salem (WV) | -0.0073 |
10 | Raenel Crenshaw | Bluefield St. | -0.0083 |
Rk. | Name | Team | DWPA/S |
---|---|---|---|
1 | Amy Turbak | Salem (WV) | 0.0799 |
2 | Kathryne Mathis | Salem (WV) | 0.0792 |
3 | Cassidy Pluta | Salem (WV) | 0.0591 |
4 | Jalavia Johnson | Salem (WV) | 0.0417 |
5 | Alaina Weltz | Salem (WV) | 0.0387 |
6 | Waverly Federico | Salem (WV) | 0.0359 |
7 | Nina Isaac | Salem (WV) | 0.0292 |
8 | Liane Moser | Salem (WV) | 0.0287 |
9 | Yesenia Munoz | Salem (WV) | 0.0251 |
10 | Adela Parras | Salem (WV) | 0.0209 |
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.