Nerdly Nebraska.
2023-2024 HuskerGeek Ratings Leaders
Sport | School | Rating |
---|---|---|
ViPR D1 Volleyball | Wisconsin | 1,711.3731 |
Sport | School | Rating |
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ViPR D1 Volleyball | Wisconsin | 1,711.3731 |
Rnk. | Team | Résumé | Recent | ViPR | Adj SP% | Adj SO% | Adj. Hit Mar. |
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1st | Claremont-M-S | 1,529.1834 | 1,544.3016 | 1,536.7239 | 60.12 | 67.26 | 0.263 |
2nd | Chapman | 1,483.3904 | 1,500.6372 | 1,491.9889 | 56.39 | 66.52 | 0.224 |
3rd | Cal Lutheran | 1,482.2432 | 1,494.1964 | 1,488.2078 | 56.85 | 65.54 | 0.210 |
4th | La Verne | 1,471.8393 | 1,493.5084 | 1,482.6342 | 56.70 | 64.94 | 0.195 |
5th | Whittier | 1,445.8740 | 1,468.1957 | 1,456.9921 | 54.11 | 64.53 | 0.145 |
6th | Redlands | 1,389.3415 | 1,402.5627 | 1,395.9364 | 53.31 | 59.18 | 0.123 |
7th | Pomona-Pitzer | 1,373.4193 | 1,399.1052 | 1,386.2027 | 53.55 | 59.21 | 0.111 |
8th | Occidental | 1,366.9663 | 1,382.1048 | 1,374.5147 | 50.61 | 59.26 | 0.085 |
9th | Caltech | 1,241.5139 | 1,271.5586 | 1,256.4464 | 44.66 | 53.08 | -0.026 |
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 | Claremont-M-S | 0.2986 | 42.36 | 12.49 | 39.82 | 45.24 | 3.84 | 10.55 |
2nd | Chapman | 0.2919 | 41.67 | 12.48 | 38.68 | 44.48 | 4.61 | 9.50 |
3rd | La Verne | 0.2814 | 41.20 | 13.06 | 38.88 | 44.85 | 3.00 | 10.00 |
4th | Cal Lutheran | 0.2692 | 38.91 | 12.00 | 36.43 | 49.25 | 2.71 | 9.36 |
5th | Whittier | 0.2540 | 38.07 | 12.68 | 35.40 | 50.91 | 4.11 | 9.75 |
6th | Pomona-Pitzer | 0.2168 | 36.54 | 14.87 | 34.68 | 50.48 | 3.96 | 10.38 |
7th | Occidental | 0.2128 | 36.04 | 14.76 | 33.28 | 51.04 | 3.80 | 9.00 |
8th | Redlands | 0.2121 | 35.14 | 13.93 | 33.10 | 52.06 | 3.60 | 9.72 |
9th | Caltech | 0.1640 | 32.83 | 16.43 | 30.75 | 54.21 | 4.64 | 8.93 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | Claremont-M-S | 0.0356 | 22.74 | 19.18 | 20.77 | 63.03 | 6.44 | 5.37 |
2nd | Cal Lutheran | 0.0590 | 24.80 | 18.90 | 23.67 | 60.42 | 5.76 | 5.88 |
3rd | Chapman | 0.0683 | 25.72 | 18.89 | 23.95 | 61.02 | 6.34 | 7.02 |
4th | La Verne | 0.0867 | 26.53 | 17.86 | 24.85 | 58.33 | 4.87 | 5.54 |
5th | Redlands | 0.0894 | 26.61 | 17.67 | 24.79 | 58.89 | 5.02 | 6.08 |
6th | Pomona-Pitzer | 0.1056 | 27.81 | 17.25 | 25.44 | 59.45 | 4.94 | 6.59 |
7th | Whittier | 0.1092 | 27.74 | 16.82 | 24.62 | 57.19 | 4.74 | 5.38 |
8th | Occidental | 0.1283 | 30.08 | 17.25 | 28.14 | 56.05 | 3.87 | 5.41 |
9th | Caltech | 0.1903 | 33.56 | 14.53 | 30.58 | 54.02 | 3.29 | 8.06 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,429.9608 | 1,439.4967 | 1,441.9947 | 1,445.1876 | 1,439.1599 |
Difference | 9.5359 | 12.0339 | 15.2268 | 12.2655 |
Offense | Defense | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Team | Sets | S | SP | SA | SE | SP% | S/SA | S/SE | OS | SPA | SAA | SEA | SO% | OS/SAA | OS/SEA |
Chapman | 98 | 2,127 | 1,060 | 162 | 144 | 49.84 | 13.1 | 14.8 | 1,850 | 773 | 160 | 145 | 58.22 | 11.6 | 12.8 |
Claremont-M-S | 121 | 2,742 | 1,374 | 217 | 194 | 50.11 | 12.6 | 14.1 | 2,433 | 1,044 | 161 | 161 | 57.09 | 15.1 | 15.1 |
La Verne | 103 | 2,342 | 1,149 | 183 | 151 | 49.06 | 12.8 | 15.5 | 2,137 | 935 | 149 | 158 | 56.25 | 14.3 | 13.5 |
Cal Lutheran | 119 | 2,666 | 1,278 | 184 | 184 | 47.94 | 14.5 | 14.5 | 2,511 | 1,111 | 180 | 189 | 55.76 | 14.0 | 13.3 |
Whittier | 107 | 2,018 | 942 | 164 | 115 | 46.68 | 12.3 | 17.5 | 1,949 | 865 | 153 | 209 | 55.62 | 12.7 | 9.3 |
Redlands | 95 | 1,919 | 923 | 168 | 174 | 48.10 | 11.4 | 11.0 | 1,915 | 917 | 152 | 168 | 52.12 | 12.6 | 11.4 |
Pomona-Pitzer | 110 | 2,033 | 958 | 190 | 181 | 47.12 | 10.7 | 11.2 | 2,068 | 995 | 192 | 204 | 51.89 | 10.8 | 10.1 |
Occidental | 75 | 1,504 | 655 | 106 | 117 | 43.55 | 14.2 | 12.9 | 1,648 | 808 | 112 | 124 | 50.97 | 14.7 | 13.3 |
Caltech | 73 | 1,365 | 548 | 105 | 132 | 40.15 | 13.0 | 10.3 | 1,726 | 927 | 161 | 130 | 46.29 | 10.7 | 13.3 |
Conference Average | 100 | 2,080 | 987 | 164 | 155 | 46.95 | 12.7 | 13.5 | 2,026 | 931 | 158 | 165 | 53.80 | 12.9 | 12.5 |
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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 |
72.67 |
2018-10-12 | Thousand Oaks, Calif |
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GAME |
72.20 |
2018-10-04 | Claremont, CA |
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GAME |
72.16 |
2018-09-25 | Whittier, Calif. |
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GAME |
71.77 |
2018-11-01 | Claremont, CA |
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GAME |
71.05 |
2018-10-20 | Thousand Oaks, Calif |
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GAME |
70.83 |
2018-10-23 | Orange, Calif. |
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GAME |
70.42 |
2018-09-28 | Thousand Oaks, Calif |
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GAME |
70.34 |
2018-09-18 | La Verne, CA |
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GAME |
70.20 |
2018-10-26 | Claremont, CA |
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GAME |
69.85 |
2018-09-12 | Thousand Oaks, Calif |
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Rank | Name | Team |
---|---|---|
1 | Phoebe Madsen | Claremont-M-S |
2 | Madison Maynes | La Verne |
3 | Amanda Roberts | Cal Lutheran |
4 | Sophie Srivastava | Chapman |
5 | Kristen Sanchez | La Verne |
Rank | Name | Team |
---|---|---|
1 | Sophie Srivastava | Chapman |
2 | Maci Haddad | Cal Lutheran |
3 | Amanda Walker | Claremont-M-S |
4 | Kelsie Sievers | La Verne |
5 | Jessi Lumsden | Chapman |
Rank | Name | Team |
---|---|---|
1 | Phoebe Madsen | Claremont-M-S |
2 | Madison Maynes | La Verne |
3 | Stephanie Rolfson | Cal Lutheran |
4 | Jessica Blum | Chapman |
5 | Allie Sundara | Occidental |
Rank | Name | Team |
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1 | Kristen Sanchez | La Verne |
2 | Sarah Tritschler | Claremont-M-S |
3 | Carly Howard | Cal Lutheran |
4 | Ally Busch | Redlands |
5 | Sarah Hein | Cal Lutheran |
Rk. | Name | Team | WPA |
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1 | Phoebe Madsen | Claremont-M-S | 28.9047 |
2 | Amanda Roberts | Cal Lutheran | 23.1327 |
3 | Madison Maynes | La Verne | 21.9737 |
4 | Sarah Tritschler | Claremont-M-S | 21.5491 |
5 | Kristen Sanchez | La Verne | 20.3661 |
6 | Stephanie Rolfson | Cal Lutheran | 18.5185 |
7 | Sophie Srivastava | Chapman | 17.6380 |
8 | Camryn Purdom | Whittier | 16.8822 |
9 | Amanda Walker | Claremont-M-S | 16.4199 |
10 | Carly Howard | Cal Lutheran | 16.1894 |
Rk. | Name | Team | OWPA |
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1 | Phoebe Madsen | Claremont-M-S | 18.1164 |
2 | Madison Maynes | La Verne | 13.7323 |
3 | Kelsie Sievers | La Verne | 12.4996 |
4 | Amanda Walker | Claremont-M-S | 11.5644 |
5 | Sophie Srivastava | Chapman | 11.4246 |
6 | Amanda Roberts | Cal Lutheran | 11.2135 |
7 | Stephanie Rolfson | Cal Lutheran | 11.0152 |
8 | Maci Haddad | Cal Lutheran | 10.6549 |
9 | Melanie Moore | Claremont-M-S | 10.3906 |
10 | Camryn Purdom | Whittier | 8.8893 |
Rk. | Name | Team | DWPA |
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1 | Sarah Tritschler | Claremont-M-S | 19.4925 |
2 | Kristen Sanchez | La Verne | 17.9309 |
3 | Carly Howard | Cal Lutheran | 15.3976 |
4 | Sophie Janssen | Pomona-Pitzer | 13.0143 |
5 | Ally Busch | Redlands | 12.3002 |
6 | Amanda Roberts | Cal Lutheran | 11.9192 |
7 | Sara Utsugi | Chapman | 11.1119 |
8 | Phoebe Madsen | Claremont-M-S | 10.7883 |
9 | Megan Wang | Caltech | 9.3889 |
10 | Haley Petruescu | Whittier | 9.1694 |
Rk. | Name | Team | WPA/S |
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1 | Phoebe Madsen | Claremont-M-S | 0.2409 |
2 | Madison Maynes | La Verne | 0.2133 |
3 | Amanda Roberts | Cal Lutheran | 0.2047 |
4 | Sophie Srivastava | Chapman | 0.2004 |
5 | Kristen Sanchez | La Verne | 0.1977 |
6 | Julia Zwaal | Pomona-Pitzer | 0.1938 |
7 | Camryn Purdom | Whittier | 0.1855 |
8 | Sarah Tritschler | Claremont-M-S | 0.1811 |
9 | Stephanie Rolfson | Cal Lutheran | 0.1747 |
10 | Katelyn Popoff | Whittier | 0.1594 |
Rk. | Name | Team | OWPA/S |
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1 | Phoebe Madsen | Claremont-M-S | 0.1510 |
2 | Madison Maynes | La Verne | 0.1333 |
3 | Sophie Srivastava | Chapman | 0.1298 |
4 | Kelsie Sievers | La Verne | 0.1214 |
5 | Stephanie Rolfson | Cal Lutheran | 0.1039 |
6 | Maci Haddad | Cal Lutheran | 0.1034 |
7 | Katelyn Popoff | Whittier | 0.1024 |
8 | Amanda Walker | Claremont-M-S | 0.1006 |
9 | Amanda Roberts | Cal Lutheran | 0.0992 |
10 | Camryn Purdom | Whittier | 0.0977 |
Rk. | Name | Team | DWPA/S |
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1 | Kristen Sanchez | La Verne | 0.1741 |
2 | Sarah Tritschler | Claremont-M-S | 0.1638 |
3 | Ally Busch | Redlands | 0.1398 |
4 | Carly Howard | Cal Lutheran | 0.1387 |
5 | Sophie Janssen | Pomona-Pitzer | 0.1370 |
6 | Megan Wang | Caltech | 0.1286 |
7 | Julia Zwaal | Pomona-Pitzer | 0.1186 |
8 | Sara Utsugi | Chapman | 0.1182 |
9 | Haley Petruescu | Whittier | 0.1105 |
10 | Sydney Takauye | Occidental | 0.1092 |
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.