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 | Trinity (TX) | 1,668.5650 | 1,669.3111 | 1,668.9380 | 66.43 | 60.52 | 0.351 |
2nd | Southwestern (TX) | 1,582.6270 | 1,583.0197 | 1,582.8233 | 63.11 | 56.44 | 0.237 |
3rd | Colorado Col. | 1,577.7831 | 1,577.6411 | 1,577.7121 | 62.29 | 59.87 | 0.260 |
4th | Texas Lutheran | 1,543.7971 | 1,543.8385 | 1,543.8178 | 63.20 | 52.58 | 0.191 |
5th | Austin | 1,455.1794 | 1,457.3111 | 1,456.2449 | 58.16 | 52.13 | 0.135 |
6th | St. Thomas (TX) | 1,444.4513 | 1,442.0805 | 1,443.2654 | 59.02 | 49.81 | 0.115 |
7th | Schreiner | 1,416.6161 | 1,415.6645 | 1,416.1402 | 53.17 | 52.41 | 0.059 |
8th | Dallas | 1,393.7210 | 1,393.8396 | 1,393.7803 | 60.76 | 48.59 | 0.061 |
9th | Centenary (LA) | 1,331.6134 | 1,334.0670 | 1,332.8396 | 55.78 | 43.76 | 0.028 |
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 | Trinity (TX) | 0.3674 | 47.27 | 10.52 | 43.28 | 41.54 | 3.02 | 9.87 |
2nd | Colorado Col. | 0.3189 | 42.69 | 10.80 | 39.67 | 43.12 | 3.17 | 10.34 |
3rd | Southwestern (TX) | 0.2809 | 40.07 | 11.97 | 37.46 | 48.08 | 2.97 | 10.46 |
4th | Texas Lutheran | 0.2435 | 35.23 | 10.88 | 32.53 | 52.49 | 2.66 | 9.23 |
5th | Austin | 0.2252 | 34.96 | 12.44 | 31.49 | 50.34 | 3.28 | 9.33 |
6th | Schreiner | 0.2099 | 36.05 | 15.06 | 33.08 | 51.58 | 3.66 | 7.90 |
7th | St. Thomas (TX) | 0.1920 | 33.52 | 14.32 | 30.21 | 53.13 | 3.78 | 7.83 |
8th | Centenary (LA) | 0.1832 | 32.90 | 14.58 | 30.05 | 52.18 | 3.67 | 7.67 |
9th | Dallas | 0.1773 | 33.13 | 15.41 | 30.07 | 51.88 | 3.26 | 9.53 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
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1st | Trinity (TX) | 0.0169 | 22.42 | 20.73 | 20.75 | 62.70 | 8.14 | 4.81 |
2nd | Southwestern (TX) | 0.0439 | 22.02 | 17.63 | 20.55 | 65.06 | 4.65 | 5.83 |
3rd | Texas Lutheran | 0.0528 | 22.44 | 17.16 | 21.05 | 63.35 | 5.47 | 6.49 |
4th | Colorado Col. | 0.0590 | 24.38 | 18.47 | 22.44 | 59.67 | 5.44 | 4.60 |
5th | St. Thomas (TX) | 0.0768 | 25.55 | 17.87 | 23.24 | 57.39 | 6.68 | 5.53 |
6th | Austin | 0.0900 | 26.78 | 17.78 | 23.76 | 55.03 | 6.25 | 7.76 |
7th | Dallas | 0.1165 | 27.83 | 16.18 | 25.32 | 57.39 | 4.00 | 6.78 |
8th | Schreiner | 0.1508 | 30.87 | 15.79 | 29.23 | 56.98 | 4.15 | 5.57 |
9th | Centenary (LA) | 0.1550 | 30.76 | 15.26 | 28.41 | 52.55 | 4.51 | 8.09 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,490.6180 | 1,487.6834 | 1,487.4361 | 1,481.1094 | 1,486.7117 |
Difference | -2.9345 | -3.1819 | -9.5086 | -5.2083 |
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 |
Trinity (TX) | 125 | 2,472 | 1,441 | 215 | 186 | 58.29 | 11.5 | 13.3 | 1,971 | 918 | 132 | 189 | 53.43 | 14.9 | 10.4 |
Colorado Col. | 126 | 2,455 | 1,382 | 245 | 286 | 56.29 | 10.0 | 8.6 | 2,088 | 977 | 129 | 179 | 53.21 | 16.2 | 11.7 |
Southwestern (TX) | 119 | 2,024 | 1,129 | 212 | 204 | 55.78 | 9.5 | 9.9 | 1,832 | 930 | 149 | 169 | 49.24 | 12.3 | 10.8 |
Austin | 92 | 1,474 | 813 | 144 | 154 | 55.16 | 10.2 | 9.6 | 1,431 | 750 | 156 | 159 | 47.59 | 9.2 | 9.0 |
Texas Lutheran | 102 | 1,909 | 1,079 | 161 | 147 | 56.52 | 11.9 | 13.0 | 1,809 | 985 | 142 | 161 | 45.55 | 12.7 | 11.2 |
Dallas | 86 | 1,480 | 821 | 129 | 145 | 55.47 | 11.5 | 10.2 | 1,495 | 839 | 155 | 144 | 43.88 | 9.6 | 10.4 |
St. Thomas (TX) | 94 | 1,278 | 670 | 117 | 128 | 52.43 | 10.9 | 10.0 | 1,398 | 802 | 137 | 161 | 42.63 | 10.2 | 8.7 |
Schreiner | 74 | 1,228 | 586 | 94 | 108 | 47.72 | 13.1 | 11.4 | 1,383 | 758 | 112 | 125 | 45.19 | 12.3 | 11.1 |
Centenary (LA) | 88 | 978 | 503 | 101 | 88 | 51.43 | 9.7 | 11.1 | 1,248 | 770 | 164 | 113 | 38.30 | 7.6 | 11.0 |
Conference Average | 101 | 1,700 | 936 | 158 | 161 | 54.34 | 10.9 | 10.8 | 1,628 | 859 | 142 | 156 | 46.56 | 11.7 | 10.5 |
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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 |
77.14 |
2021-09-24 |
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GAME |
76.49 |
2021-10-23 | Kerrville, Texas |
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GAME |
75.92 |
2021-10-23 | Kerrville, TX |
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GAME |
75.72 |
2021-10-17 |
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GAME |
75.39 |
2021-10-01 | Shreveport, La. |
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GAME |
75.01 |
2021-10-24 | Irving, TX |
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GAME |
74.99 |
2021-10-24 |
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GAME |
74.66 |
2021-11-06 | San Antonio, TX |
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GAME |
73.05 |
2021-10-23 | SCAC Divisional; Kerrville, Texas |
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GAME |
72.22 |
2021-10-24 | Kerrville, TX |
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Rank | Name | Team |
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1 | Georgia Mullins | Colorado Col. |
2 | Avery Tuggle | Trinity (TX) |
3 | Jenny Jenks | Colorado Col. |
4 | Annie Leggett | Trinity (TX) |
5 | Brooke Byer | Schreiner |
Rank | Name | Team |
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1 | Georgia Mullins | Colorado Col. |
2 | Avery Tuggle | Trinity (TX) |
3 | Emily Ellis | Trinity (TX) |
4 | Kayla Lofland | Schreiner |
5 | Emma Funk | Trinity (TX) |
Rank | Name | Team |
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1 | Jenny Jenks | Colorado Col. |
2 | Marisa Amarino | Trinity (TX) |
Rank | Name | Team |
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1 | Annie Leggett | Trinity (TX) |
2 | Lexi Morris | Texas Lutheran |
3 | Nadia Kern | Trinity (TX) |
4 | Ali Grona | Southwestern (TX) |
5 | Mari Prazak | Austin |
Rk. | Name | Team | WPA |
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1 | Georgia Mullins | Colorado Col. | 24.2357 |
2 | Jenny Jenks | Colorado Col. | 23.4390 |
3 | Isabella Lipacis | Colorado Col. | 20.9202 |
4 | Avery Tuggle | Trinity (TX) | 18.2165 |
5 | Lexi Morris | Texas Lutheran | 17.4418 |
6 | Isabella Vasquez | Colorado Col. | 16.9062 |
7 | Annie Leggett | Trinity (TX) | 16.3038 |
8 | Emma White | Southwestern (TX) | 16.0062 |
9 | Brooke Byer | Schreiner | 15.1486 |
10 | Ali Grona | Southwestern (TX) | 14.4974 |
Rk. | Name | Team | OWPA |
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1 | Georgia Mullins | Colorado Col. | 15.0590 |
2 | Jenny Jenks | Colorado Col. | 12.7484 |
3 | Avery Tuggle | Trinity (TX) | 8.8916 |
4 | Isabella Lipacis | Colorado Col. | 8.8527 |
5 | Isabella Vasquez | Colorado Col. | 7.7392 |
6 | Kayla Lofland | Schreiner | 7.4735 |
7 | Marisa Amarino | Trinity (TX) | 6.3723 |
8 | Emma White | Southwestern (TX) | 6.2855 |
9 | Katelyn Whitehead | Southwestern (TX) | 6.1516 |
10 | Andie Valenzuela | Southwestern (TX) | 6.0842 |
Rk. | Name | Team | DWPA |
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1 | Lexi Morris | Texas Lutheran | 16.4567 |
2 | Ali Grona | Southwestern (TX) | 15.6521 |
3 | Isabella Lipacis | Colorado Col. | 12.0675 |
4 | Peyton Hummel | Colorado Col. | 11.4219 |
5 | Mari Prazak | Austin | 11.4178 |
6 | Brooke Byer | Schreiner | 10.7059 |
7 | Jenny Jenks | Colorado Col. | 10.6906 |
8 | Annie Leggett | Trinity (TX) | 10.4979 |
9 | Emma White | Southwestern (TX) | 9.7206 |
10 | Avery Tuggle | Trinity (TX) | 9.3249 |
Rk. | Name | Team | WPA/S |
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1 | Brooke Byer | Schreiner | 0.2295 |
2 | Georgia Mullins | Colorado Col. | 0.2203 |
3 | Jenny Jenks | Colorado Col. | 0.2150 |
4 | Lexi Morris | Texas Lutheran | 0.2101 |
5 | Mia Moreno | Schreiner | 0.2066 |
6 | Kayla Lofland | Schreiner | 0.2048 |
7 | Isabella Lipacis | Colorado Col. | 0.1937 |
8 | Avery Tuggle | Trinity (TX) | 0.1786 |
9 | Larissa Ramirez | Dallas | 0.1777 |
10 | Isabella Vasquez | Colorado Col. | 0.1761 |
Rk. | Name | Team | OWPA/S |
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1 | Georgia Mullins | Colorado Col. | 0.1369 |
2 | Jenny Jenks | Colorado Col. | 0.1170 |
3 | Kayla Lofland | Schreiner | 0.1132 |
4 | Mia Moreno | Schreiner | 0.1010 |
5 | Avery Tuggle | Trinity (TX) | 0.0872 |
6 | Larissa Ramirez | Dallas | 0.0829 |
7 | Isabella Lipacis | Colorado Col. | 0.0820 |
8 | Isabella Vasquez | Colorado Col. | 0.0806 |
9 | Dayjah Whyte | Dallas | 0.0802 |
10 | Emily Ellis | Trinity (TX) | 0.0733 |
Rk. | Name | Team | DWPA/S |
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1 | Lexi Morris | Texas Lutheran | 0.1983 |
2 | Brooke Byer | Schreiner | 0.1622 |
3 | Mari Prazak | Austin | 0.1586 |
4 | Ali Grona | Southwestern (TX) | 0.1550 |
5 | Ally Peters | St. Thomas (TX) | 0.1455 |
6 | Elora Reyes | Schreiner | 0.1436 |
7 | Alyssa Davis | Centenary (LA) | 0.1223 |
8 | Jaycie Proctor | Centenary (LA) | 0.1132 |
9 | Ellise Anable | Dallas | 0.1129 |
10 | Isabella Lipacis | Colorado Col. | 0.1117 |
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.