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 | 1,653.5685 | 1,660.0910 | 1,656.8265 | 59.55 | 64.18 | 0.282 |
2nd | Pepperdine | 1,551.9070 | 1,557.2827 | 1,554.5925 | 52.41 | 57.40 | 0.116 |
3rd | San Diego | 1,547.3501 | 1,557.4778 | 1,552.4057 | 55.25 | 58.38 | 0.151 |
4th | LMU (CA) | 1,489.8159 | 1,500.7272 | 1,495.2616 | 49.57 | 57.52 | 0.112 |
5th | Santa Clara | 1,482.0134 | 1,485.6175 | 1,483.8143 | 49.25 | 54.96 | 0.074 |
6th | Saint Mary's (CA) | 1,478.9694 | 1,484.9024 | 1,481.9329 | 52.88 | 55.22 | 0.061 |
7th | Pacific | 1,455.1857 | 1,459.3602 | 1,457.2715 | 50.12 | 50.82 | 0.016 |
8th | Gonzaga | 1,410.6456 | 1,414.0994 | 1,412.3715 | 50.82 | 50.82 | -0.011 |
9th | Portland | 1,352.6055 | 1,361.8324 | 1,357.2111 | 51.33 | 45.72 | -0.054 |
10th | San Francisco | 1,327.1829 | 1,333.4057 | 1,330.2907 | 47.16 | 47.68 | -0.083 |
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 | 0.3643 | 47.02 | 10.59 | 42.90 | 40.70 | 4.05 | 8.20 |
2nd | Pepperdine | 0.2893 | 42.95 | 14.03 | 39.71 | 40.48 | 5.71 | 8.10 |
3rd | San Diego | 0.2851 | 40.85 | 12.34 | 37.77 | 44.67 | 4.03 | 6.40 |
4th | LMU (CA) | 0.2802 | 44.17 | 16.15 | 40.48 | 39.18 | 5.05 | 8.31 |
5th | Santa Clara | 0.2596 | 39.72 | 13.76 | 36.54 | 46.17 | 4.62 | 8.16 |
6th | Saint Mary's (CA) | 0.2471 | 37.64 | 12.93 | 35.01 | 46.49 | 5.53 | 7.92 |
7th | Gonzaga | 0.2276 | 37.43 | 14.67 | 34.82 | 47.96 | 5.72 | 8.49 |
8th | Portland | 0.1876 | 35.08 | 16.32 | 32.31 | 49.98 | 5.28 | 8.44 |
9th | Pacific | 0.1794 | 36.58 | 18.64 | 33.47 | 46.28 | 6.01 | 8.12 |
10th | San Francisco | 0.1467 | 31.88 | 17.22 | 28.29 | 51.28 | 7.07 | 6.11 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | BYU | 0.0827 | 27.68 | 19.41 | 25.45 | 55.01 | 8.15 | 3.76 |
2nd | San Diego | 0.1344 | 31.94 | 18.50 | 28.62 | 50.20 | 8.65 | 4.59 |
3rd | Pacific | 0.1632 | 30.95 | 14.62 | 28.48 | 54.86 | 5.25 | 5.11 |
4th | LMU (CA) | 0.1680 | 34.70 | 17.90 | 31.15 | 47.89 | 7.80 | 5.29 |
5th | Pepperdine | 0.1737 | 32.93 | 15.56 | 30.15 | 54.04 | 6.76 | 4.70 |
6th | Santa Clara | 0.1856 | 34.02 | 15.46 | 30.15 | 49.77 | 5.63 | 6.09 |
7th | Saint Mary's (CA) | 0.1863 | 35.43 | 16.80 | 32.88 | 48.72 | 7.44 | 6.87 |
8th | San Francisco | 0.2301 | 37.65 | 14.64 | 33.50 | 48.65 | 4.05 | 7.30 |
9th | Gonzaga | 0.2383 | 38.67 | 14.83 | 34.95 | 47.22 | 5.49 | 5.33 |
10th | Portland | 0.2417 | 39.28 | 15.11 | 35.48 | 47.06 | 5.13 | 8.51 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,478.1978 | 1,474.3576 | 1,480.5096 | 1,479.5701 | 1,478.1588 |
Difference | -3.8402 | 2.3118 | 1.3723 | -0.0521 |
Offense | Defense | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Team | Sets | S | SP | SA | SE | SP% | S/SA | S/SE | OS | SPA | SAA | SEA | SO% | OS/SAA | OS/SEA |
BYU | 107 | 2,277 | 1,295 | 191 | 246 | 56.87 | 11.9 | 9.3 | 1,683 | 664 | 99 | 191 | 60.55 | 17.0 | 8.8 |
San Diego | 103 | 2,009 | 1,031 | 132 | 210 | 51.32 | 15.2 | 9.6 | 1,823 | 830 | 125 | 238 | 54.47 | 14.6 | 7.7 |
Saint Mary's (CA) | 101 | 1,751 | 902 | 156 | 193 | 51.51 | 11.2 | 9.1 | 1,682 | 799 | 168 | 233 | 52.50 | 10.0 | 7.2 |
Pepperdine | 106 | 1,622 | 793 | 168 | 234 | 48.89 | 9.7 | 6.9 | 1,512 | 688 | 128 | 230 | 54.50 | 11.8 | 6.6 |
LMU (CA) | 108 | 1,974 | 927 | 190 | 336 | 46.96 | 10.4 | 5.9 | 1,862 | 857 | 159 | 266 | 53.97 | 11.7 | 7.0 |
Santa Clara | 102 | 1,622 | 754 | 176 | 252 | 46.49 | 9.2 | 6.4 | 1,680 | 813 | 146 | 211 | 51.61 | 11.5 | 8.0 |
Gonzaga | 99 | 1,921 | 941 | 165 | 234 | 48.99 | 11.6 | 8.2 | 2,072 | 1,074 | 142 | 218 | 48.17 | 14.6 | 9.5 |
Pacific | 112 | 2,190 | 1,041 | 189 | 251 | 47.53 | 11.6 | 8.7 | 2,248 | 1,175 | 152 | 256 | 47.73 | 14.8 | 8.8 |
Portland | 87 | 1,476 | 718 | 140 | 165 | 48.65 | 10.5 | 8.9 | 1,787 | 1,019 | 206 | 206 | 42.98 | 8.7 | 8.7 |
San Francisco | 86 | 1,429 | 643 | 88 | 203 | 45.00 | 16.2 | 7.0 | 1,810 | 1,000 | 179 | 180 | 44.75 | 10.1 | 10.1 |
Conference Average | 101 | 1,827 | 905 | 160 | 232 | 49.22 | 11.8 | 8.0 | 1,816 | 892 | 150 | 223 | 51.12 | 12.5 | 8.2 |
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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 |
72.22 |
2021-10-07 |
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GAME |
71.78 |
2021-10-29 |
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GAME |
71.46 |
2021-11-13 |
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GAME |
71.39 |
2021-09-25 | Santa Clara, Calif. |
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GAME |
71.31 |
2021-11-18 |
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GAME |
71.18 |
2021-11-12 |
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GAME |
70.92 |
2021-10-16 |
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GAME |
69.44 |
2021-11-11 |
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GAME |
69.33 |
2021-11-13 |
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GAME |
68.75 |
2021-11-18 |
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Name | Team | Role |
---|---|---|
Rachel Ahrens | Pepperdine | A |
Grace Frohling | San Diego | A |
Heather Gneiting | BYU | A |
Kenzie Koerber | BYU | A |
Kennedy Redding | BYU | A |
Jadyn Tubbs | Pacific | D |
Whitney Bower | BYU | S |
Isadora Tercariol | San Diego | S |
Rank | Name | Team |
---|---|---|
1 | Kenzie Koerber | BYU |
2 | Whitney Bower | BYU |
3 | Isadora Tercariol | San Diego |
4 | Grace Frohling | San Diego |
5 | Rachel Ahrens | Pepperdine |
Rank | Name | Team |
---|---|---|
1 | Kenzie Koerber | BYU |
2 | Grace Frohling | San Diego |
3 | Rachel Ahrens | Pepperdine |
4 | Alexa Edwards | Pacific |
5 | Kennedy Redding | BYU |
Rank | Name | Team |
---|---|---|
1 | Whitney Bower | BYU |
2 | Isadora Tercariol | San Diego |
3 | Isabella Bareford | LMU (CA) |
4 | Isabel Zelaya | Pepperdine |
5 | Nive Tuileta | Santa Clara |
Rank | Name | Team |
---|---|---|
1 | Jadyn Tubbs | Pacific |
2 | Annie Benbow | San Diego |
3 | Madi Allen | BYU |
4 | Madison Shields | Pepperdine |
5 | Kat Georgiadis | Santa Clara |
Rk. | Name | Team | WPA |
---|---|---|---|
1 | Alexa Edwards | Pacific | 18.0376 |
2 | Whitney Bower | BYU | 17.6962 |
3 | Kenzie Koerber | BYU | 16.6019 |
4 | Grace Frohling | San Diego | 16.3750 |
5 | Rachel Ahrens | Pepperdine | 16.1030 |
6 | Jadyn Tubbs | Pacific | 15.7309 |
7 | Isadora Tercariol | San Diego | 14.7758 |
8 | Isabella Bareford | LMU (CA) | 14.6471 |
9 | Jenna Heller | Pacific | 14.3440 |
10 | Nive Tuileta | Santa Clara | 13.6350 |
Rk. | Name | Team | OWPA |
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1 | Rachel Ahrens | Pepperdine | 11.6174 |
2 | Whitney Bower | BYU | 11.3171 |
3 | Grace Frohling | San Diego | 10.5060 |
4 | Kenzie Koerber | BYU | 9.6069 |
5 | Isabella Bareford | LMU (CA) | 9.5268 |
6 | Isadora Tercariol | San Diego | 8.9367 |
7 | Alexa Edwards | Pacific | 8.5909 |
8 | Nive Tuileta | Santa Clara | 8.4237 |
9 | Isabel Zelaya | Pepperdine | 8.1735 |
10 | Jenna Heller | Pacific | 7.9595 |
Rk. | Name | Team | DWPA |
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1 | Jadyn Tubbs | Pacific | 14.3105 |
2 | Annie Benbow | San Diego | 11.3896 |
3 | Kat Georgiadis | Santa Clara | 9.5497 |
4 | Madison Shields | Pepperdine | 9.4849 |
5 | Alexa Edwards | Pacific | 9.4467 |
6 | Mary Shroll | LMU (CA) | 8.1362 |
7 | Kelsey Knudsen | Saint Mary's (CA) | 7.2807 |
8 | Darina Kumanova | Pacific | 7.1229 |
9 | Michelle Shaffer | Santa Clara | 7.0311 |
10 | Viktoriya Ivanova | Gonzaga | 7.0172 |
Rk. | Name | Team | WPA/S |
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1 | Rachel Ahrens | Pepperdine | 0.2206 |
2 | Isadora Tercariol | San Diego | 0.1870 |
3 | Whitney Bower | BYU | 0.1843 |
4 | Grace Frohling | San Diego | 0.1819 |
5 | Nive Tuileta | Santa Clara | 0.1794 |
6 | Alexa Edwards | Pacific | 0.1786 |
7 | Michelle Shaffer | Santa Clara | 0.1732 |
8 | Kenzie Koerber | BYU | 0.1729 |
9 | Julia Sangiacomo | Santa Clara | 0.1718 |
10 | Isabel Zelaya | Pepperdine | 0.1707 |
Rk. | Name | Team | OWPA/S |
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1 | Rachel Ahrens | Pepperdine | 0.1591 |
2 | Whitney Bower | BYU | 0.1179 |
3 | Grace Frohling | San Diego | 0.1167 |
4 | Isadora Tercariol | San Diego | 0.1131 |
5 | Isabel Zelaya | Pepperdine | 0.1120 |
6 | Nive Tuileta | Santa Clara | 0.1108 |
7 | Isabella Bareford | LMU (CA) | 0.1059 |
8 | Meg Brown | Pepperdine | 0.1004 |
9 | Kenzie Koerber | BYU | 0.1001 |
10 | Grace Chillingworth | Pepperdine | 0.1000 |
Rk. | Name | Team | DWPA/S |
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1 | Jadyn Tubbs | Pacific | 0.1417 |
2 | Madison Shields | Pepperdine | 0.1299 |
3 | Annie Benbow | San Diego | 0.1266 |
4 | Kat Georgiadis | Santa Clara | 0.1257 |
5 | Kelsey Knudsen | Saint Mary's (CA) | 0.1040 |
6 | Alexa Edwards | Pacific | 0.0935 |
7 | Michelle Shaffer | Santa Clara | 0.0925 |
8 | Mary Shroll | LMU (CA) | 0.0875 |
9 | Letizia Aquilino | San Francisco | 0.0873 |
10 | Julia Sangiacomo | Santa Clara | 0.0788 |
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.