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 | San Diego | 1,669.2487 | 1,673.8162 | 1,671.5309 | 58.84 | 63.84 | 0.265 |
2nd | BYU | 1,623.2777 | 1,629.0308 | 1,626.1517 | 55.69 | 61.27 | 0.222 |
3rd | LMU (CA) | 1,583.1437 | 1,586.4680 | 1,584.8050 | 52.35 | 59.77 | 0.171 |
4th | Pepperdine | 1,578.2596 | 1,582.7093 | 1,580.4829 | 53.02 | 59.51 | 0.151 |
5th | Pacific | 1,485.9232 | 1,489.7371 | 1,487.8289 | 51.08 | 50.58 | 0.026 |
6th | San Francisco | 1,466.1989 | 1,469.5633 | 1,467.8801 | 50.99 | 52.15 | 0.046 |
7th | Santa Clara | 1,459.8797 | 1,461.1999 | 1,460.5397 | 48.30 | 53.28 | 0.044 |
8th | Saint Mary's (CA) | 1,452.9897 | 1,455.3181 | 1,454.1534 | 49.96 | 52.70 | 0.012 |
9th | Portland | 1,447.2986 | 1,453.2888 | 1,450.2906 | 51.48 | 50.30 | 0.016 |
10th | Gonzaga | 1,394.0401 | 1,397.4677 | 1,395.7529 | 53.55 | 47.76 | -0.038 |
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 | 0.3475 | 46.16 | 11.41 | 42.65 | 40.11 | 4.15 | 6.95 |
2nd | San Diego | 0.3454 | 45.63 | 11.09 | 43.02 | 40.67 | 4.51 | 7.72 |
3rd | LMU (CA) | 0.3125 | 45.40 | 14.16 | 42.27 | 39.24 | 4.88 | 8.26 |
4th | Pepperdine | 0.2772 | 41.00 | 13.29 | 38.11 | 42.34 | 5.46 | 7.35 |
5th | Santa Clara | 0.2727 | 40.42 | 13.15 | 37.87 | 45.20 | 4.98 | 7.53 |
6th | Saint Mary's (CA) | 0.2330 | 35.79 | 12.49 | 33.64 | 49.12 | 5.89 | 8.13 |
7th | Portland | 0.2244 | 37.14 | 14.70 | 33.96 | 47.74 | 5.67 | 8.71 |
8th | San Francisco | 0.2220 | 36.67 | 14.47 | 32.97 | 46.96 | 5.22 | 7.25 |
9th | Pacific | 0.2044 | 38.87 | 18.43 | 35.58 | 42.77 | 5.98 | 8.65 |
10th | Gonzaga | 0.1917 | 31.50 | 12.34 | 28.38 | 54.49 | 5.52 | 8.86 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | San Diego | 0.0804 | 27.78 | 19.75 | 26.31 | 53.45 | 8.87 | 4.07 |
2nd | BYU | 0.1254 | 30.81 | 18.27 | 28.68 | 51.78 | 7.70 | 5.11 |
3rd | Pepperdine | 0.1263 | 30.50 | 17.87 | 28.58 | 53.68 | 7.70 | 5.11 |
4th | LMU (CA) | 0.1413 | 33.19 | 19.06 | 29.78 | 48.93 | 9.09 | 4.89 |
5th | San Francisco | 0.1762 | 34.95 | 17.33 | 31.97 | 49.08 | 6.60 | 6.97 |
6th | Pacific | 0.1780 | 32.12 | 14.32 | 29.85 | 54.91 | 4.19 | 5.92 |
7th | Portland | 0.2089 | 36.23 | 15.34 | 33.12 | 47.82 | 6.48 | 7.55 |
8th | Saint Mary's (CA) | 0.2208 | 37.70 | 15.62 | 35.21 | 47.65 | 6.34 | 7.78 |
9th | Santa Clara | 0.2283 | 38.08 | 15.26 | 35.27 | 46.67 | 5.53 | 7.69 |
10th | Gonzaga | 0.2299 | 38.52 | 15.53 | 35.49 | 44.72 | 5.38 | 6.62 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,517.9416 | 1,514.0165 | 1,505.9483 | 1,499.1829 | 1,509.2723 |
Difference | -3.9251 | -11.9933 | -18.7587 | -11.5590 |
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 |
San Diego | 117 | 2,745 | 1,448 | 183 | 257 | 52.75 | 15.0 | 10.7 | 2,269 | 927 | 117 | 233 | 59.15 | 19.4 | 9.7 |
BYU | 98 | 2,287 | 1,178 | 145 | 177 | 51.51 | 15.8 | 12.9 | 1,948 | 843 | 121 | 204 | 56.73 | 16.1 | 9.5 |
Pepperdine | 111 | 2,524 | 1,211 | 163 | 218 | 47.98 | 15.5 | 11.6 | 2,360 | 1,058 | 144 | 236 | 55.17 | 16.4 | 10.0 |
LMU (CA) | 104 | 2,255 | 1,072 | 171 | 295 | 47.54 | 13.2 | 7.6 | 2,131 | 950 | 125 | 257 | 55.42 | 17.0 | 8.3 |
San Francisco | 112 | 2,412 | 1,185 | 167 | 261 | 49.13 | 14.4 | 9.2 | 2,460 | 1,229 | 190 | 252 | 50.04 | 12.9 | 9.8 |
Saint Mary's (CA) | 93 | 1,852 | 886 | 144 | 206 | 47.84 | 12.9 | 9.0 | 2,000 | 1,010 | 183 | 185 | 49.50 | 10.9 | 10.8 |
Pacific | 122 | 2,604 | 1,274 | 224 | 306 | 48.93 | 11.6 | 8.5 | 2,651 | 1,378 | 180 | 247 | 48.02 | 14.7 | 10.7 |
Portland | 112 | 2,350 | 1,159 | 197 | 244 | 49.32 | 11.9 | 9.6 | 2,480 | 1,299 | 209 | 254 | 47.62 | 11.9 | 9.8 |
Santa Clara | 115 | 2,422 | 1,121 | 177 | 272 | 46.28 | 13.7 | 8.9 | 2,569 | 1,273 | 222 | 240 | 50.45 | 11.6 | 10.7 |
Gonzaga | 107 | 2,115 | 1,077 | 180 | 172 | 50.92 | 11.8 | 12.3 | 2,468 | 1,359 | 182 | 229 | 44.94 | 13.6 | 10.8 |
Conference Average | 109 | 2,357 | 1,161 | 175 | 241 | 49.22 | 13.6 | 10.0 | 2,334 | 1,133 | 167 | 234 | 51.70 | 14.5 | 10.0 |
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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 |
75.89 |
2022-11-17 |
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GAME |
74.89 |
2022-09-24 |
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GAME |
74.53 |
2022-11-19 | Malibu, Calif. |
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GAME |
74.20 |
2022-11-22 |
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GAME |
73.90 |
2022-11-05 |
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GAME |
73.41 |
2022-11-19 |
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GAME |
72.83 |
2022-10-21 |
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GAME |
72.51 |
2022-09-22 |
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GAME |
71.38 |
2022-10-27 |
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GAME |
71.36 |
2022-10-01 |
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Name | Team | Role |
---|---|---|
Leyla Blackwell | San Diego | A |
Grace Frohling | San Diego | A |
Heather Gneiting | BYU | A |
Erin Livingston | BYU | A |
Katie Lukes | San Diego | A |
Annie Benbow | San Diego | D |
Gabby Blossom | San Diego | S |
Whitney Bower | BYU | S |
Rank | Name | Team |
---|---|---|
1 | Gabby Blossom | San Diego |
2 | Erin Livingston | BYU |
3 | Katie Lukes | San Diego |
4 | Whitney Bower | BYU |
5 | Grace Frohling | San Diego |
Rank | Name | Team |
---|---|---|
1 | Erin Livingston | BYU |
2 | Katie Lukes | San Diego |
3 | Grace Frohling | San Diego |
4 | Julia Sangiacomo | Santa Clara |
5 | Leyla Blackwell | San Diego |
Rank | Name | Team |
---|---|---|
1 | Gabby Blossom | San Diego |
2 | Whitney Bower | BYU |
3 | Isabel Zelaya | Pepperdine |
4 | Jenna Heller | Pacific |
5 | Nive Tuileta | Santa Clara |
Rank | Name | Team |
---|---|---|
1 | Annie Benbow | San Diego |
2 | Riley Patterson | Pepperdine |
3 | Kat Georgiadis | Santa Clara |
4 | Kate Grimmer | BYU |
5 | Jadyn Tubbs | Pacific |
Rk. | Name | Team | WPA |
---|---|---|---|
1 | Gabby Blossom | San Diego | 25.2286 |
2 | Noelani Helm | Portland | 24.7260 |
3 | Julia Sangiacomo | Santa Clara | 24.0014 |
4 | Jenna Heller | Pacific | 23.1424 |
5 | Nive Tuileta | Santa Clara | 21.1884 |
6 | Isabel Zelaya | Pepperdine | 19.3702 |
7 | Erin Livingston | BYU | 19.2637 |
8 | Alexa Edwards | Pacific | 19.1425 |
9 | Katie Lukes | San Diego | 18.5962 |
10 | Grace Chillingworth | Pepperdine | 18.1958 |
Rk. | Name | Team | OWPA |
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1 | Gabby Blossom | San Diego | 15.7179 |
2 | Noelani Helm | Portland | 14.9114 |
3 | Julia Sangiacomo | Santa Clara | 14.2373 |
4 | Erin Livingston | BYU | 13.9913 |
5 | Jenna Heller | Pacific | 13.9775 |
6 | Nive Tuileta | Santa Clara | 13.2838 |
7 | Isabel Zelaya | Pepperdine | 13.1618 |
8 | Grace Frohling | San Diego | 11.9555 |
9 | Breana Edwards | San Diego | 11.9501 |
10 | Meg Brown | Pepperdine | 11.7428 |
Rk. | Name | Team | DWPA |
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1 | Kat Georgiadis | Santa Clara | 15.8455 |
2 | Riley Patterson | Pepperdine | 13.5917 |
3 | Abby Wadas | San Francisco | 13.4897 |
4 | Annie Benbow | San Diego | 12.2978 |
5 | Grace Zilbert | Portland | 12.0500 |
6 | Alisa Kim | Gonzaga | 11.6479 |
7 | Sam Hastings | LMU (CA) | 10.8770 |
8 | Jadyn Tubbs | Pacific | 10.1750 |
9 | Noelani Helm | Portland | 9.8146 |
10 | Julia Sangiacomo | Santa Clara | 9.7642 |
Rk. | Name | Team | WPA/S |
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1 | Noelani Helm | Portland | 0.2208 |
2 | Gabby Blossom | San Diego | 0.2156 |
3 | Julia Sangiacomo | Santa Clara | 0.2124 |
4 | Erin Livingston | BYU | 0.1966 |
5 | Jenna Heller | Pacific | 0.1897 |
6 | Whitney Bower | BYU | 0.1850 |
7 | Nive Tuileta | Santa Clara | 0.1842 |
8 | Isabel Zelaya | Pepperdine | 0.1810 |
9 | Claire Crijns | San Francisco | 0.1667 |
10 | Kennedy Croft | Gonzaga | 0.1647 |
Rk. | Name | Team | OWPA/S |
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1 | Erin Livingston | BYU | 0.1428 |
2 | Gabby Blossom | San Diego | 0.1343 |
3 | Noelani Helm | Portland | 0.1331 |
4 | Julia Sangiacomo | Santa Clara | 0.1260 |
5 | Isabel Zelaya | Pepperdine | 0.1230 |
6 | Whitney Bower | BYU | 0.1162 |
7 | Nive Tuileta | Santa Clara | 0.1155 |
8 | Jenna Heller | Pacific | 0.1146 |
9 | Isabella Bareford | LMU (CA) | 0.1128 |
10 | Hawley Harrer | Saint Mary's (CA) | 0.1067 |
Rk. | Name | Team | DWPA/S |
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1 | Kat Georgiadis | Santa Clara | 0.1378 |
2 | Abby Wadas | San Francisco | 0.1238 |
3 | Riley Patterson | Pepperdine | 0.1224 |
4 | Sam Hastings | LMU (CA) | 0.1145 |
5 | Jadyn Tubbs | Pacific | 0.1143 |
6 | Grace Zilbert | Portland | 0.1106 |
7 | Alisa Kim | Gonzaga | 0.1089 |
8 | Makenna Joyce | Saint Mary's (CA) | 0.1074 |
9 | Annie Benbow | San Diego | 0.1051 |
10 | Noelani Helm | Portland | 0.0876 |
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.