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 | BYU | 1,627.2856 | 1,623.3083 | 1,625.2957 | 79.55 | 83.89 | 0.254 |
2nd | San Diego | 1,615.7268 | 1,612.3356 | 1,614.0303 | 80.35 | 79.38 | 0.216 |
3rd | Pepperdine | 1,609.7929 | 1,606.6783 | 1,608.2349 | 75.59 | 85.38 | 0.201 |
4th | LMU (CA) | 1,552.4395 | 1,548.6584 | 1,550.5478 | 71.14 | 81.30 | 0.151 |
5th | Gonzaga | 1,507.9513 | 1,504.1787 | 1,506.0638 | 73.99 | 76.50 | 0.121 |
6th | San Francisco | 1,499.2077 | 1,495.7973 | 1,497.5015 | 73.56 | 76.32 | 0.104 |
7th | Saint Mary's (CA) | 1,485.2217 | 1,481.8264 | 1,483.5231 | 75.35 | 72.54 | 0.070 |
8th | Pacific | 1,477.0113 | 1,474.3007 | 1,475.6554 | 71.63 | 72.31 | 0.052 |
9th | Santa Clara | 1,452.8735 | 1,449.1915 | 1,451.0313 | 68.65 | 73.29 | 0.074 |
10th | Portland | 1,425.0805 | 1,421.4478 | 1,423.2630 | 71.33 | 73.57 | 0.050 |
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 | BYU | 0.4325 | 45.78 | 2.53 | 42.80 | 44.21 | 3.38 | 8.86 |
2nd | Pepperdine | 0.3869 | 43.95 | 5.26 | 41.19 | 42.93 | 4.22 | 8.16 |
3rd | San Diego | 0.3859 | 44.24 | 5.65 | 40.80 | 43.19 | 4.32 | 9.00 |
4th | LMU (CA) | 0.3776 | 43.95 | 6.19 | 40.50 | 43.44 | 5.51 | 8.96 |
5th | Gonzaga | 0.3423 | 39.36 | 5.13 | 36.10 | 49.40 | 4.80 | 8.20 |
6th | Santa Clara | 0.3267 | 39.99 | 7.32 | 36.69 | 48.30 | 4.82 | 10.59 |
7th | San Francisco | 0.3135 | 37.86 | 6.51 | 35.66 | 48.77 | 5.16 | 8.33 |
8th | Saint Mary's (CA) | 0.3017 | 35.95 | 5.79 | 32.59 | 52.34 | 5.40 | 9.93 |
9th | Portland | 0.2811 | 34.70 | 6.59 | 32.30 | 53.21 | 4.84 | 7.96 |
10th | Pacific | 0.2407 | 36.71 | 12.64 | 33.47 | 45.89 | 7.56 | 8.44 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | San Diego | 0.1701 | 27.62 | 10.61 | 25.04 | 54.99 | 7.11 | 4.87 |
2nd | BYU | 0.1786 | 28.08 | 10.22 | 26.55 | 56.74 | 7.32 | 5.67 |
3rd | Pepperdine | 0.1857 | 27.48 | 8.91 | 26.01 | 56.48 | 5.93 | 4.17 |
4th | Pacific | 0.1888 | 25.01 | 6.13 | 22.69 | 61.44 | 4.25 | 2.32 |
5th | San Francisco | 0.2091 | 28.18 | 7.27 | 26.03 | 56.04 | 4.87 | 3.78 |
6th | Gonzaga | 0.2217 | 29.78 | 7.61 | 26.50 | 53.74 | 5.48 | 4.50 |
7th | LMU (CA) | 0.2263 | 31.21 | 8.58 | 29.18 | 52.26 | 6.09 | 6.68 |
8th | Portland | 0.2307 | 29.64 | 6.57 | 27.40 | 55.58 | 4.56 | 6.00 |
9th | Saint Mary's (CA) | 0.2312 | 30.70 | 7.58 | 27.47 | 52.82 | 5.67 | 5.90 |
10th | Santa Clara | 0.2522 | 32.95 | 7.74 | 30.33 | 48.84 | 5.95 | 6.13 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,523.5147 | 1,523.3235 | 1,520.2544 | 1,509.4090 | 1,519.1254 |
Difference | -0.1912 | -3.2603 | -14.1056 | -5.8524 |
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 |
BYU | 63 | 1,482 | 768 | 99 | 150 | 51.82 | 15.0 | 9.9 | 1,307 | 536 | 93 | 116 | 58.99 | 14.1 | 11.3 |
Pepperdine | 76 | 1,551 | 752 | 101 | 171 | 48.49 | 15.4 | 9.1 | 1,356 | 535 | 80 | 173 | 60.55 | 17.0 | 7.8 |
San Diego | 66 | 1,350 | 696 | 111 | 146 | 51.56 | 12.2 | 9.2 | 1,183 | 538 | 89 | 176 | 54.52 | 13.3 | 6.7 |
LMU (CA) | 62 | 1,310 | 630 | 93 | 164 | 48.09 | 14.1 | 8.0 | 1,216 | 536 | 101 | 163 | 55.92 | 12.0 | 7.5 |
Gonzaga | 73 | 1,554 | 729 | 94 | 160 | 46.91 | 16.5 | 9.7 | 1,609 | 767 | 99 | 161 | 52.33 | 16.3 | 10.0 |
San Francisco | 70 | 1,363 | 624 | 92 | 198 | 45.78 | 14.8 | 6.9 | 1,413 | 680 | 88 | 156 | 51.88 | 16.1 | 9.1 |
Pacific | 38 | 627 | 292 | 44 | 95 | 46.57 | 14.3 | 6.6 | 645 | 324 | 30 | 102 | 49.77 | 21.5 | 6.3 |
Portland | 61 | 1,147 | 501 | 67 | 120 | 43.68 | 17.1 | 9.6 | 1,331 | 684 | 108 | 157 | 48.61 | 12.3 | 8.5 |
Saint Mary's (CA) | 63 | 1,109 | 524 | 100 | 132 | 47.25 | 11.1 | 8.4 | 1,277 | 717 | 107 | 171 | 43.85 | 11.9 | 7.5 |
Santa Clara | 65 | 1,029 | 426 | 114 | 187 | 41.40 | 9.0 | 5.5 | 1,151 | 583 | 110 | 139 | 49.35 | 10.5 | 8.3 |
Conference Average | 64 | 1,252 | 594 | 92 | 152 | 47.15 | 13.9 | 8.3 | 1,249 | 590 | 91 | 151 | 52.58 | 14.5 | 8.3 |
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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 |
79.67 |
2021-02-24 | Malibu, Calif. |
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GAME |
75.08 |
2021-01-27 |
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GAME |
73.51 |
2021-03-20 |
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GAME |
73.45 |
2021-01-27 | Malibu, Calif. |
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GAME |
72.77 |
2021-02-20 |
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GAME |
72.57 |
2021-03-27 |
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GAME |
71.86 |
2021-02-24 |
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GAME |
71.59 |
2021-03-06 |
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GAME |
71.42 |
2021-03-26 |
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GAME |
71.05 |
2021-03-13 |
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Name | Team | Role |
---|---|---|
Taylen Ballard | BYU | A |
Meg Brown | Pepperdine | A |
Kennedy Redding | BYU | A |
Shannon Scully | Pepperdine | A |
Roxie Wiblin | San Diego | A |
Madi Allen | BYU | D |
Whitney Bower | BYU | S |
Name | Team | Role |
---|---|---|
Rachel Ahrens | Pepperdine | A |
Kennedy Croft | Gonzaga | A |
Leilani Dodson | BYU | A |
Elly Schraeder | San Diego | A |
Sarah Penner | Gonzaga | D |
Anna Vecchia | San Francisco | D |
Isabel Zelaya | Pepperdine | S |
Rank | Name | Team |
---|---|---|
1 | Whitney Bower | BYU |
2 | Shannon Scully | Pepperdine |
3 | Kennedy Redding | BYU |
4 | Taylen Ballard | BYU |
5 | Roxie Wiblin | San Diego |
Rank | Name | Team |
---|---|---|
1 | Shannon Scully | Pepperdine |
2 | Kennedy Redding | BYU |
3 | Taylen Ballard | BYU |
4 | Roxie Wiblin | San Diego |
5 | Rachel Ahrens | Pepperdine |
Rank | Name | Team |
---|---|---|
1 | Whitney Bower | BYU |
2 | Isabel Zelaya | Pepperdine |
3 | Laura Madill | San Diego |
4 | Aylen Ayub | San Francisco |
5 | Tia Andaya | Gonzaga |
Rank | Name | Team |
---|---|---|
1 | Madi Allen | BYU |
2 | Anna Vecchia | San Francisco |
3 | Madison Shields | Pepperdine |
4 | Carey Williams | Portland |
5 | Annie Benbow | San Diego |
Rk. | Name | Team | WPA |
---|---|---|---|
1 | Whitney Bower | BYU | 17.4939 |
2 | Shannon Scully | Pepperdine | 17.0072 |
3 | Sarah Penner | Gonzaga | 14.1009 |
4 | Greta Corti | San Francisco | 12.8962 |
5 | Isabel Zelaya | Pepperdine | 12.8195 |
6 | Rachel Ahrens | Pepperdine | 12.5566 |
7 | Roxie Wiblin | San Diego | 12.3879 |
8 | McKenna Marshall | San Francisco | 12.1406 |
9 | Aylen Ayub | San Francisco | 11.9951 |
10 | Tia Andaya | Gonzaga | 11.9204 |
Rk. | Name | Team | OWPA |
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1 | Whitney Bower | BYU | 10.3862 |
2 | Shannon Scully | Pepperdine | 9.9021 |
3 | Rachel Ahrens | Pepperdine | 9.7845 |
4 | Isabel Zelaya | Pepperdine | 8.3797 |
5 | Kari Geissberger | LMU (CA) | 7.5788 |
6 | Roxie Wiblin | San Diego | 7.2827 |
7 | Tia Andaya | Gonzaga | 7.1476 |
8 | Aylen Ayub | San Francisco | 7.0652 |
9 | Sarah Penner | Gonzaga | 6.4568 |
10 | Taylen Ballard | BYU | 6.3306 |
Rk. | Name | Team | DWPA |
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1 | Anna Vecchia | San Francisco | 11.0263 |
2 | Carey Williams | Portland | 10.0225 |
3 | Julia Talarico | Gonzaga | 8.9743 |
4 | Madison Shields | Pepperdine | 8.8959 |
5 | Madi Allen | BYU | 8.1444 |
6 | Sarah Penner | Gonzaga | 7.6440 |
7 | Whitney Bower | BYU | 7.1077 |
8 | Shannon Scully | Pepperdine | 7.1051 |
9 | Mary Shroll | LMU (CA) | 6.8460 |
10 | Greta Corti | San Francisco | 6.7021 |
Rk. | Name | Team | WPA/S |
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1 | Whitney Bower | BYU | 0.2777 |
2 | Shannon Scully | Pepperdine | 0.2538 |
3 | Roxie Wiblin | San Diego | 0.2136 |
4 | Greta Corti | San Francisco | 0.2047 |
5 | Sarah Penner | Gonzaga | 0.1958 |
6 | Kennedy Croft | Gonzaga | 0.1941 |
7 | McKenna Marshall | San Francisco | 0.1927 |
8 | Isabel Zelaya | Pepperdine | 0.1913 |
9 | Aylen Ayub | San Francisco | 0.1904 |
10 | Rachel Ahrens | Pepperdine | 0.1874 |
Rk. | Name | Team | OWPA/S |
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1 | Whitney Bower | BYU | 0.1649 |
2 | Shannon Scully | Pepperdine | 0.1478 |
3 | Rachel Ahrens | Pepperdine | 0.1460 |
4 | Kari Geissberger | LMU (CA) | 0.1403 |
5 | Roxie Wiblin | San Diego | 0.1256 |
6 | Isabel Zelaya | Pepperdine | 0.1251 |
7 | Kennedy Redding | BYU | 0.1187 |
8 | Thana Fayad | San Diego | 0.1161 |
9 | Aylen Ayub | San Francisco | 0.1121 |
10 | Laura Madill | San Diego | 0.1089 |
Rk. | Name | Team | DWPA/S |
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1 | Carey Williams | Portland | 0.1758 |
2 | Anna Vecchia | San Francisco | 0.1750 |
3 | Madison Shields | Pepperdine | 0.1328 |
4 | Madi Allen | BYU | 0.1293 |
5 | Mary Shroll | LMU (CA) | 0.1268 |
6 | Julia Talarico | Gonzaga | 0.1229 |
7 | Annie Benbow | San Diego | 0.1202 |
8 | Whitney Bower | BYU | 0.1128 |
9 | Gretchen Reinert | Santa Clara | 0.1065 |
10 | Greta Corti | San Francisco | 0.1064 |
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.