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 | Cal Poly | 1,662.5022 | 1,634.4467 | 1,648.4148 | 51.63 | 67.46 | 0.184 |
2nd | Hawaii | 1,604.1017 | 1,579.8378 | 1,591.9235 | 49.65 | 63.51 | 0.115 |
3rd | UC Irvine | 1,580.7734 | 1,544.1562 | 1,562.3575 | 47.25 | 62.30 | 0.094 |
4th | UC Santa Barbara | 1,561.9170 | 1,529.7164 | 1,545.7329 | 44.11 | 64.33 | 0.074 |
5th | UC Davis | 1,554.0906 | 1,522.8557 | 1,538.3939 | 45.99 | 62.14 | 0.070 |
6th | Long Beach St. | 1,532.5358 | 1,502.2927 | 1,517.3389 | 44.45 | 60.98 | 0.078 |
7th | CSUN | 1,492.0452 | 1,457.7447 | 1,474.7952 | 42.78 | 57.98 | 0.025 |
8th | UC Riverside | 1,472.4177 | 1,439.0983 | 1,455.6627 | 40.28 | 57.18 | -0.025 |
9th | Cal St. Fullerton | 1,388.2861 | 1,352.9192 | 1,370.4885 | 39.70 | 50.41 | -0.080 |
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 | Cal Poly | 0.3253 | 44.26 | 11.73 | 41.39 | 42.76 | 5.38 | 6.37 |
2nd | Long Beach St. | 0.2614 | 40.32 | 14.18 | 37.48 | 45.18 | 5.41 | 6.01 |
3rd | UC Irvine | 0.2502 | 38.83 | 13.81 | 35.99 | 47.33 | 5.63 | 7.14 |
4th | UC Santa Barbara | 0.2495 | 38.14 | 13.19 | 35.97 | 48.36 | 4.93 | 7.43 |
5th | Hawaii | 0.2477 | 39.38 | 14.61 | 37.19 | 44.91 | 5.91 | 6.77 |
6th | UC Davis | 0.2358 | 38.03 | 14.44 | 35.41 | 47.98 | 5.50 | 6.51 |
7th | CSUN | 0.2277 | 38.26 | 15.48 | 35.50 | 47.07 | 6.29 | 6.50 |
8th | UC Riverside | 0.1793 | 34.53 | 16.59 | 32.48 | 49.83 | 6.31 | 4.49 |
9th | Cal St. Fullerton | 0.1533 | 32.02 | 16.69 | 30.20 | 53.13 | 5.69 | 5.72 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | Hawaii | 0.1325 | 29.38 | 16.13 | 27.46 | 56.57 | 5.97 | 2.88 |
2nd | Cal Poly | 0.1412 | 31.93 | 17.81 | 30.10 | 52.50 | 7.01 | 3.68 |
3rd | UC Irvine | 0.1562 | 31.50 | 15.89 | 29.91 | 52.90 | 5.93 | 5.72 |
4th | UC Davis | 0.1658 | 31.17 | 14.59 | 29.18 | 55.16 | 5.74 | 4.60 |
5th | UC Santa Barbara | 0.1750 | 31.99 | 14.49 | 29.73 | 55.91 | 4.78 | 3.68 |
6th | Long Beach St. | 0.1838 | 34.06 | 15.67 | 31.63 | 50.58 | 7.12 | 4.52 |
7th | CSUN | 0.2031 | 35.95 | 15.64 | 33.07 | 48.91 | 5.59 | 6.46 |
8th | UC Riverside | 0.2039 | 34.15 | 13.76 | 32.61 | 53.95 | 4.66 | 5.78 |
9th | Cal St. Fullerton | 0.2336 | 37.01 | 13.65 | 34.58 | 49.09 | 4.50 | 7.09 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,522.7898 | 1,526.6007 | 1,527.7237 | 1,533.8219 | 1,527.7340 |
Difference | 3.8109 | 4.9339 | 11.0321 | 6.5923 |
Offense | Defense | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Team | Sets | S | SP | SA | SE | SP% | S/SA | S/SE | OS | SPA | SAA | SEA | SO% | OS/SAA | OS/SEA |
Cal Poly | 96 | 2,256 | 1,092 | 125 | 144 | 48.40 | 18.0 | 15.7 | 1,890 | 689 | 84 | 203 | 63.55 | 22.5 | 9.3 |
Hawaii | 102 | 2,285 | 1,044 | 135 | 238 | 45.69 | 16.9 | 9.6 | 2,117 | 866 | 76 | 204 | 59.09 | 27.9 | 10.4 |
UC Santa Barbara | 112 | 2,539 | 1,079 | 178 | 293 | 42.50 | 14.3 | 8.7 | 2,385 | 923 | 101 | 201 | 61.30 | 23.6 | 11.9 |
UC Davis | 107 | 2,341 | 1,042 | 143 | 175 | 44.51 | 16.4 | 13.4 | 2,207 | 907 | 116 | 190 | 58.90 | 19.0 | 11.6 |
UC Irvine | 105 | 2,324 | 1,027 | 145 | 217 | 44.19 | 16.0 | 10.7 | 2,231 | 931 | 149 | 221 | 58.27 | 15.0 | 10.1 |
Long Beach St. | 114 | 2,470 | 1,069 | 146 | 246 | 43.28 | 16.9 | 10.0 | 2,425 | 1,025 | 122 | 208 | 57.73 | 19.9 | 11.7 |
UC Riverside | 107 | 2,184 | 865 | 95 | 173 | 39.61 | 23.0 | 12.6 | 2,375 | 1,070 | 151 | 201 | 54.95 | 15.7 | 11.8 |
CSUN | 108 | 2,207 | 888 | 128 | 216 | 40.24 | 17.2 | 10.2 | 2,421 | 1,111 | 173 | 191 | 54.11 | 14.0 | 12.7 |
Cal St. Fullerton | 97 | 1,888 | 773 | 111 | 142 | 40.94 | 17.0 | 13.3 | 2,213 | 1,120 | 167 | 179 | 49.39 | 13.3 | 12.4 |
Conference Average | 105 | 2,277 | 987 | 134 | 205 | 43.26 | 17.3 | 11.6 | 2,252 | 960 | 127 | 200 | 57.48 | 19.0 | 11.3 |
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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 |
80.76 |
2018-09-29 | Santa Barbara, Calif |
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GAME |
77.42 |
2018-09-23 | Irvine, Calif. |
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GAME |
75.15 |
2018-10-06 |
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GAME |
74.13 |
2018-11-10 | Davis, Calif. |
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GAME |
73.99 |
2018-10-19 | Long Beach, Calif. |
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GAME |
73.71 |
2018-10-26 | Honolulu, HI |
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GAME |
72.66 |
2018-09-21 | Davis, Calif. |
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GAME |
72.35 |
2018-11-10 | Irvine, Calif. |
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GAME |
72.20 |
2018-09-22 | Northridge, Calif. |
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GAME |
71.99 |
2018-10-20 | Northridge, Calif. |
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Name | Team | Role |
---|---|---|
Natasha Burns | Hawaii | A |
Meredith Phillips | Cal Poly | A |
Lindsey Ruddins | UC Santa Barbara | A |
Torrey Winden | Cal Poly | A |
Adlee Winden | Cal Poly | A |
Katherine Brouker | Cal Poly | D |
Avalon DeNecochea | Cal Poly | S |
Name | Team | Role |
---|---|---|
Emily Allen | UC Davis | A |
Mckenna Granato | Hawaii | A |
Madilyn Mercer | Cal Poly | A |
Makayla Wolfe | UC Irvine | A |
Norene Iosia | Hawaii | D |
Emilia Petrachi | UC Santa Barbara | D |
Ali Koumelis | UC Irvine | S |
Rank | Name | Team |
---|---|---|
1 | Torrey Winden | Cal Poly |
2 | Lindsey Ruddins | UC Santa Barbara |
3 | Avalon DeNecochea | Cal Poly |
4 | Adlee Winden | Cal Poly |
5 | Norene Iosia | Hawaii |
Rank | Name | Team |
---|---|---|
1 | Torrey Winden | Cal Poly |
2 | Lindsey Ruddins | UC Santa Barbara |
3 | Adlee Winden | Cal Poly |
4 | Emily Allen | UC Davis |
5 | Mckenna Granato | Hawaii |
Rank | Name | Team |
---|---|---|
1 | Avalon DeNecochea | Cal Poly |
2 | Ali Koumelis | UC Irvine |
3 | Olivia Lovenberg | UC Santa Barbara |
4 | Faith Ma'afala | Hawaii |
5 | Maddie Merlino | UC Davis |
Rank | Name | Team |
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1 | Katherine Brouker | Cal Poly |
2 | Emilia Petrachi | UC Santa Barbara |
3 | Reyn Akiu | Hawaii |
4 | Haley DeSales | UC Irvine |
5 | Torre Glasker | UC Santa Barbara |
Rk. | Name | Team | WPA |
---|---|---|---|
1 | Lindsey Ruddins | UC Santa Barbara | 30.1464 |
2 | Torrey Winden | Cal Poly | 25.1534 |
3 | Chelsea Doyle | UC Riverside | 24.2226 |
4 | Olivia Lovenberg | UC Santa Barbara | 20.4998 |
5 | Norene Iosia | Hawaii | 19.7545 |
6 | Emily Allen | UC Davis | 19.6951 |
7 | Aeryn Owens | CSUN | 19.5084 |
8 | Emilia Petrachi | UC Santa Barbara | 19.2635 |
9 | Ali Koumelis | UC Irvine | 18.9886 |
10 | Tyler Spriggs | Long Beach St. | 18.6006 |
Rk. | Name | Team | OWPA |
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1 | Lindsey Ruddins | UC Santa Barbara | 19.3615 |
2 | Torrey Winden | Cal Poly | 16.4478 |
3 | Olivia Lovenberg | UC Santa Barbara | 14.2110 |
4 | Chelsea Doyle | UC Riverside | 12.7866 |
5 | Avalon DeNecochea | Cal Poly | 12.5686 |
6 | Ali Koumelis | UC Irvine | 12.3561 |
7 | Tyler Spriggs | Long Beach St. | 12.2549 |
8 | Aeryn Owens | CSUN | 11.5423 |
9 | Emily Allen | UC Davis | 10.1940 |
10 | Adlee Winden | Cal Poly | 9.7489 |
Rk. | Name | Team | DWPA |
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1 | Emilia Petrachi | UC Santa Barbara | 18.1751 |
2 | Haley DeSales | UC Irvine | 15.1829 |
3 | Reyn Akiu | Hawaii | 14.4221 |
4 | Malia Bolko | UC Davis | 12.4702 |
5 | Katherine Brouker | Cal Poly | 12.4395 |
6 | Kristey Markle | CSUN | 12.2356 |
7 | Hailey Harward | Long Beach St. | 11.5193 |
8 | Chelsea Doyle | UC Riverside | 11.4360 |
9 | Nicole Rodriguez | UC Riverside | 11.3088 |
10 | Lindsey Ruddins | UC Santa Barbara | 10.7849 |
Rk. | Name | Team | WPA/S |
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1 | Lindsey Ruddins | UC Santa Barbara | 0.2871 |
2 | Torrey Winden | Cal Poly | 0.2734 |
3 | Chelsea Doyle | UC Riverside | 0.2264 |
4 | Ali Koumelis | UC Irvine | 0.1978 |
5 | Norene Iosia | Hawaii | 0.1937 |
6 | Olivia Lovenberg | UC Santa Barbara | 0.1916 |
7 | Emily Allen | UC Davis | 0.1858 |
8 | Aeryn Owens | CSUN | 0.1806 |
9 | Emilia Petrachi | UC Santa Barbara | 0.1800 |
10 | Avalon DeNecochea | Cal Poly | 0.1795 |
Rk. | Name | Team | OWPA/S |
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1 | Lindsey Ruddins | UC Santa Barbara | 0.1844 |
2 | Torrey Winden | Cal Poly | 0.1788 |
3 | Olivia Lovenberg | UC Santa Barbara | 0.1328 |
4 | Avalon DeNecochea | Cal Poly | 0.1309 |
5 | Ali Koumelis | UC Irvine | 0.1287 |
6 | Chelsea Doyle | UC Riverside | 0.1195 |
7 | Tyler Spriggs | Long Beach St. | 0.1145 |
8 | Aeryn Owens | CSUN | 0.1069 |
9 | Adlee Winden | Cal Poly | 0.1016 |
10 | Emily Allen | UC Davis | 0.0962 |
Rk. | Name | Team | DWPA/S |
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1 | Emilia Petrachi | UC Santa Barbara | 0.1699 |
2 | Haley DeSales | UC Irvine | 0.1446 |
3 | Reyn Akiu | Hawaii | 0.1414 |
4 | Malia Bolko | UC Davis | 0.1327 |
5 | Katherine Brouker | Cal Poly | 0.1296 |
6 | Nicole Rodriguez | UC Riverside | 0.1271 |
7 | Kristey Markle | CSUN | 0.1144 |
8 | Chelsea Doyle | UC Riverside | 0.1069 |
9 | Torre Glasker | UC Santa Barbara | 0.1060 |
10 | Hailey Harward | Long Beach St. | 0.1047 |
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.