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. |
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1st | West Tex. A&M | 1,619.4459 | 1,606.0929 | 1,612.7556 | 55.19 | 68.93 | 0.227 |
2nd | Angelo St. | 1,596.5702 | 1,580.3426 | 1,588.4357 | 56.65 | 65.40 | 0.181 |
3rd | Texas Woman's | 1,556.9796 | 1,537.4650 | 1,547.1915 | 52.39 | 64.75 | 0.157 |
4th | Tex. A&M-Commerce | 1,519.6203 | 1,499.6462 | 1,509.6002 | 50.06 | 62.63 | 0.117 |
5th | Tarleton St. | 1,515.2143 | 1,486.3655 | 1,500.7206 | 50.63 | 62.18 | 0.102 |
6th | Midwestern St. | 1,472.6592 | 1,451.7847 | 1,462.1847 | 48.76 | 59.39 | 0.090 |
7th | Tex. A&M-Kingsville | 1,444.0422 | 1,412.8623 | 1,428.3672 | 46.04 | 58.78 | 0.039 |
8th | Eastern N.M. | 1,436.3953 | 1,412.0607 | 1,424.1760 | 47.05 | 56.55 | 0.014 |
9th | Cameron | 1,410.0595 | 1,384.3190 | 1,397.1300 | 43.43 | 57.26 | -0.007 |
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 | West Tex. A&M | 0.3041 | 42.20 | 11.79 | 39.25 | 45.28 | 3.74 | 6.18 |
2nd | Tex. A&M-Commerce | 0.2558 | 39.85 | 14.27 | 36.66 | 45.75 | 4.05 | 7.38 |
3rd | Texas Woman's | 0.2551 | 38.63 | 13.12 | 35.60 | 48.27 | 3.74 | 6.36 |
4th | Angelo St. | 0.2500 | 37.16 | 12.16 | 34.31 | 48.20 | 4.23 | 7.55 |
5th | Tarleton St. | 0.2318 | 36.55 | 13.37 | 34.00 | 50.17 | 3.44 | 5.46 |
6th | Midwestern St. | 0.2127 | 36.04 | 14.77 | 32.98 | 49.93 | 4.98 | 6.33 |
7th | Tex. A&M-Kingsville | 0.2100 | 37.49 | 16.49 | 34.44 | 48.17 | 4.12 | 7.18 |
8th | Cameron | 0.1675 | 33.32 | 16.57 | 30.51 | 51.62 | 5.15 | 7.03 |
9th | Eastern N.M. | 0.1638 | 31.89 | 15.51 | 29.19 | 52.58 | 6.19 | 6.94 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
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1st | Angelo St. | 0.0690 | 23.64 | 16.74 | 21.90 | 63.98 | 5.30 | 2.96 |
2nd | West Tex. A&M | 0.0769 | 27.83 | 20.13 | 26.48 | 56.05 | 8.03 | 2.70 |
3rd | Texas Woman's | 0.0980 | 28.11 | 18.32 | 26.63 | 56.20 | 7.54 | 3.61 |
4th | Midwestern St. | 0.1230 | 29.50 | 17.20 | 28.05 | 56.57 | 5.99 | 5.56 |
5th | Tarleton St. | 0.1300 | 29.05 | 16.05 | 27.72 | 56.83 | 4.95 | 4.30 |
6th | Tex. A&M-Commerce | 0.1386 | 29.86 | 16.01 | 27.21 | 56.45 | 5.48 | 6.04 |
7th | Eastern N.M. | 0.1494 | 31.92 | 16.98 | 29.81 | 52.48 | 6.03 | 4.34 |
8th | Tex. A&M-Kingsville | 0.1710 | 32.94 | 15.84 | 30.87 | 52.79 | 5.32 | 5.47 |
9th | Cameron | 0.1748 | 33.39 | 15.91 | 31.21 | 54.68 | 4.88 | 5.13 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,496.7290 | 1,494.3823 | 1,489.6128 | 1,490.8352 | 1,492.8898 |
Difference | -2.3468 | -7.1162 | -5.8939 | -5.1189 |
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 |
West Tex. A&M | 137 | 3,211 | 1,610 | 150 | 143 | 50.14 | 21.4 | 22.5 | 2,615 | 974 | 84 | 158 | 62.75 | 31.1 | 16.6 |
Angelo St. | 128 | 2,897 | 1,442 | 162 | 155 | 49.78 | 17.9 | 18.7 | 2,532 | 1,061 | 83 | 122 | 58.10 | 30.5 | 20.8 |
Tex. A&M-Commerce | 124 | 2,025 | 962 | 172 | 184 | 47.51 | 11.8 | 11.0 | 1,864 | 785 | 142 | 139 | 57.89 | 13.1 | 13.4 |
Texas Woman's | 123 | 2,461 | 1,157 | 123 | 118 | 47.01 | 20.0 | 20.9 | 2,266 | 950 | 102 | 152 | 58.08 | 22.2 | 14.9 |
Tarleton St. | 108 | 2,210 | 1,006 | 95 | 116 | 45.52 | 23.3 | 19.1 | 2,135 | 932 | 107 | 150 | 56.35 | 20.0 | 14.2 |
Midwestern St. | 111 | 2,368 | 1,075 | 117 | 158 | 45.40 | 20.2 | 15.0 | 2,394 | 1,094 | 141 | 154 | 54.30 | 17.0 | 15.5 |
Tex. A&M-Kingsville | 117 | 2,316 | 998 | 141 | 166 | 43.09 | 16.4 | 14.0 | 2,414 | 1,102 | 148 | 175 | 54.35 | 16.3 | 13.8 |
Eastern N.M. | 101 | 2,037 | 860 | 111 | 132 | 42.22 | 18.4 | 15.4 | 2,268 | 1,106 | 105 | 164 | 51.24 | 21.6 | 13.8 |
Cameron | 108 | 2,214 | 889 | 132 | 166 | 40.15 | 16.8 | 13.3 | 2,472 | 1,165 | 140 | 182 | 52.87 | 17.7 | 13.6 |
Conference Average | 117 | 2,415 | 1,111 | 134 | 149 | 45.65 | 18.5 | 16.6 | 2,329 | 1,019 | 117 | 155 | 56.21 | 21.1 | 15.2 |
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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 |
76.77 |
2013-10-18 | San Angelo, TX |
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GAME |
75.64 |
2013-10-05 | San Angelo, TX |
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GAME |
75.54 |
2013-11-23 | Canyon, TX |
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GAME |
74.89 |
2013-09-20 | San Angelo, TX |
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GAME |
74.01 |
2013-11-08 | Canyon, TX |
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GAME |
73.77 |
2013-10-09 | Commerce, Texas |
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GAME |
73.65 |
2013-10-18 | Stephenville, TX |
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GAME |
72.91 |
2013-11-16 | Stephenville, TX |
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GAME |
72.73 |
2013-11-22 | Canyon, TX |
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GAME |
71.74 |
2013-10-19 | Stephenville, TX |
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Name | Team | Role |
---|---|---|
Lauren Bevan | West Tex. A&M | A |
Lexi Davis | West Tex. A&M | A |
Maddie Huth | Angelo St. | A |
Laura Iwuchukwu | West Tex. A&M | A |
Shelby Wilt | Angelo St. | D |
Kameryn Hayes | West Tex. A&M | S |
Maggi Keffury | Angelo St. | S |
Rank | Name | Team |
---|---|---|
1 | Kameryn Hayes | West Tex. A&M |
2 | Maggi Keffury | Angelo St. |
3 | Halie Harton | West Tex. A&M |
4 | Maddie Huth | Angelo St. |
5 | Jordan Neal | Tex. A&M-Commerce |
Rank | Name | Team |
---|---|---|
1 | Maddie Huth | Angelo St. |
2 | Lauren Bevan | West Tex. A&M |
3 | Laura Iwuchukwu | West Tex. A&M |
4 | Lexi Davis | West Tex. A&M |
5 | Arielle Bond | Angelo St. |
Rank | Name | Team |
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1 | Kameryn Hayes | West Tex. A&M |
2 | Maggi Keffury | Angelo St. |
3 | Jordan Neal | Tex. A&M-Commerce |
4 | Danielle Barker | Tarleton St. |
5 | Kayla Hebert | Cameron |
Rank | Name | Team |
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1 | Shelby Wilt | Angelo St. |
2 | Emily Klein | Tarleton St. |
3 | Kaelen Valdez | Angelo St. |
4 | Hayley Couch | Eastern N.M. |
5 | Lauren Britten | West Tex. A&M |
Rk. | Name | Team | WPA |
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1 | Kameryn Hayes | West Tex. A&M | 29.5593 |
2 | Maggi Keffury | Angelo St. | 26.5927 |
3 | Halie Harton | West Tex. A&M | 25.7055 |
4 | Jordan Neal | Tex. A&M-Commerce | 24.4689 |
5 | Amy Davault | Tex. A&M-Commerce | 20.6089 |
6 | Maddie Huth | Angelo St. | 20.5751 |
7 | Danielle Barker | Tarleton St. | 20.3674 |
8 | Shelby Wilt | Angelo St. | 19.5916 |
9 | Kayla Hebert | Cameron | 18.4629 |
10 | Emily Klein | Tarleton St. | 18.2462 |
Rk. | Name | Team | OWPA |
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1 | Kameryn Hayes | West Tex. A&M | 18.0143 |
2 | Maggi Keffury | Angelo St. | 16.5970 |
3 | Jordan Neal | Tex. A&M-Commerce | 14.8938 |
4 | Danielle Barker | Tarleton St. | 13.1584 |
5 | Lauren Bevan | West Tex. A&M | 12.6124 |
6 | Laura Iwuchukwu | West Tex. A&M | 12.5671 |
7 | Maddie Huth | Angelo St. | 12.3845 |
8 | Halie Harton | West Tex. A&M | 11.6487 |
9 | Sarah Fountain | Tex. A&M-Kingsville | 10.2735 |
10 | Caitlin Wallace | Midwestern St. | 10.0400 |
Rk. | Name | Team | DWPA |
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1 | Shelby Wilt | Angelo St. | 18.0232 |
2 | Emily Klein | Tarleton St. | 16.8904 |
3 | Hayley Couch | Eastern N.M. | 16.7791 |
4 | Lauren Britten | West Tex. A&M | 15.8361 |
5 | Morgan Wilson | Texas Woman's | 14.5107 |
6 | Erin Hardy | Cameron | 14.0940 |
7 | Halie Harton | West Tex. A&M | 14.0568 |
8 | Kaelen Valdez | Angelo St. | 12.8735 |
9 | Casey Fletcher | Midwestern St. | 12.1678 |
10 | Michaela Spicer | Tex. A&M-Commerce | 12.0350 |
Rk. | Name | Team | WPA/S |
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1 | Jordan Neal | Tex. A&M-Commerce | 0.2376 |
2 | Kameryn Hayes | West Tex. A&M | 0.2158 |
3 | Maggi Keffury | Angelo St. | 0.2127 |
4 | Danielle Barker | Tarleton St. | 0.2037 |
5 | Amy Davault | Tex. A&M-Commerce | 0.2001 |
6 | Halie Harton | West Tex. A&M | 0.1876 |
7 | Emily Klein | Tarleton St. | 0.1825 |
8 | Katie Covell | Tarleton St. | 0.1822 |
9 | Kayla Hebert | Cameron | 0.1775 |
10 | Hayley Couch | Eastern N.M. | 0.1649 |
Rk. | Name | Team | OWPA/S |
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1 | Jordan Neal | Tex. A&M-Commerce | 0.1446 |
2 | Maggi Keffury | Angelo St. | 0.1328 |
3 | Danielle Barker | Tarleton St. | 0.1316 |
4 | Kameryn Hayes | West Tex. A&M | 0.1315 |
5 | Maddie Huth | Angelo St. | 0.0975 |
6 | Kayla Hebert | Cameron | 0.0954 |
7 | Sarah Fountain | Tex. A&M-Kingsville | 0.0951 |
8 | Lauren Bevan | West Tex. A&M | 0.0927 |
9 | Caitlin Wallace | Midwestern St. | 0.0921 |
10 | Laura Iwuchukwu | West Tex. A&M | 0.0917 |
Rk. | Name | Team | DWPA/S |
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1 | Emily Klein | Tarleton St. | 0.1689 |
2 | Hayley Couch | Eastern N.M. | 0.1661 |
3 | Shelby Wilt | Angelo St. | 0.1408 |
4 | Morgan Wilson | Texas Woman's | 0.1307 |
5 | Erin Hardy | Cameron | 0.1305 |
6 | Michaela Spicer | Tex. A&M-Commerce | 0.1168 |
7 | Casey Fletcher | Midwestern St. | 0.1159 |
8 | Lauren Britten | West Tex. A&M | 0.1156 |
9 | Amy Davault | Tex. A&M-Commerce | 0.1146 |
10 | Katie Covell | Tarleton St. | 0.1086 |
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.