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 | Claremont-M-S | 1,581.8549 | 1,549.7871 | 1,565.7389 | 61.52 | 65.58 | 0.282 |
2nd | Chapman | 1,540.9831 | 1,504.2894 | 1,522.5257 | 63.03 | 57.90 | 0.216 |
3rd | Cal Lutheran | 1,505.8755 | 1,468.0932 | 1,486.8644 | 55.75 | 62.36 | 0.185 |
4th | La Verne | 1,473.9451 | 1,439.1954 | 1,456.4666 | 55.66 | 59.61 | 0.151 |
5th | Whittier | 1,456.2963 | 1,417.0806 | 1,436.5547 | 54.12 | 59.12 | 0.125 |
6th | Pomona-Pitzer | 1,430.4652 | 1,398.2004 | 1,414.2408 | 51.72 | 59.54 | 0.119 |
7th | Redlands | 1,378.9524 | 1,339.6287 | 1,359.1483 | 48.75 | 57.25 | 0.056 |
8th | Caltech | 1,338.0374 | 1,302.3735 | 1,320.0850 | 46.48 | 55.96 | 0.053 |
9th | Occidental | 1,283.6077 | 1,251.8846 | 1,267.6469 | 46.05 | 51.61 | -0.018 |
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 | 0.3140 | 43.36 | 11.95 | 40.49 | 42.65 | 3.74 | 10.50 |
2nd | Chapman | 0.2785 | 39.74 | 11.89 | 36.89 | 45.29 | 3.85 | 9.77 |
3rd | Cal Lutheran | 0.2676 | 39.97 | 13.21 | 36.72 | 47.59 | 3.12 | 10.81 |
4th | La Verne | 0.2394 | 37.05 | 13.10 | 34.32 | 47.32 | 3.57 | 10.24 |
5th | Pomona-Pitzer | 0.2215 | 37.26 | 15.11 | 34.52 | 48.00 | 3.61 | 8.89 |
6th | Whittier | 0.2159 | 35.36 | 13.77 | 32.55 | 50.45 | 3.88 | 9.08 |
7th | Caltech | 0.2103 | 35.69 | 14.65 | 33.27 | 49.84 | 3.58 | 9.02 |
8th | Redlands | 0.1854 | 34.55 | 16.01 | 31.87 | 53.73 | 3.77 | 12.17 |
9th | Occidental | 0.1618 | 31.80 | 15.62 | 28.98 | 54.22 | 3.72 | 11.12 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | Claremont-M-S | 0.0321 | 21.16 | 17.95 | 19.75 | 64.33 | 6.58 | 6.26 |
2nd | Chapman | 0.0622 | 22.38 | 16.16 | 20.90 | 64.72 | 4.97 | 7.62 |
3rd | Cal Lutheran | 0.0824 | 26.26 | 18.03 | 24.35 | 58.22 | 6.00 | 6.65 |
4th | La Verne | 0.0881 | 23.98 | 15.16 | 22.35 | 63.45 | 4.11 | 5.59 |
5th | Whittier | 0.0909 | 24.72 | 15.64 | 23.16 | 63.12 | 4.47 | 5.19 |
6th | Pomona-Pitzer | 0.1023 | 27.06 | 16.83 | 25.31 | 58.42 | 5.01 | 6.36 |
7th | Redlands | 0.1296 | 27.60 | 14.64 | 25.73 | 61.66 | 3.80 | 7.00 |
8th | Caltech | 0.1572 | 29.54 | 13.82 | 27.73 | 58.91 | 4.26 | 7.22 |
9th | Occidental | 0.1800 | 32.94 | 14.93 | 30.52 | 53.22 | 4.03 | 8.28 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,425.4746 | 1,427.9836 | 1,430.6549 | 1,435.7540 | 1,429.9668 |
Difference | 2.5090 | 5.1804 | 10.2794 | 5.9896 |
Offense | Defense | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Team | Sets | S | SP | SA | SE | SP% | S/SA | S/SE | OS | SPA | SAA | SEA | SO% | OS/SAA | OS/SEA |
Claremont-M-S | 104 | 2,267 | 1,221 | 185 | 168 | 53.86 | 12.3 | 13.5 | 1,821 | 739 | 140 | 168 | 59.42 | 13.0 | 10.8 |
Chapman | 94 | 2,088 | 1,170 | 159 | 102 | 56.03 | 13.1 | 20.5 | 1,783 | 853 | 155 | 177 | 52.16 | 11.5 | 10.1 |
Cal Lutheran | 106 | 2,330 | 1,123 | 187 | 184 | 48.20 | 12.5 | 12.7 | 2,197 | 988 | 165 | 202 | 55.03 | 13.3 | 10.9 |
La Verne | 106 | 2,242 | 1,081 | 172 | 174 | 48.22 | 13.0 | 12.9 | 2,182 | 1,019 | 145 | 179 | 53.30 | 15.0 | 12.2 |
Whittier | 104 | 2,185 | 1,045 | 152 | 125 | 47.83 | 14.4 | 17.5 | 2,162 | 1,014 | 134 | 169 | 53.10 | 16.1 | 12.8 |
Pomona-Pitzer | 100 | 2,105 | 945 | 135 | 175 | 44.89 | 15.6 | 12.0 | 2,134 | 980 | 156 | 172 | 54.08 | 13.7 | 12.4 |
Redlands | 94 | 1,677 | 719 | 190 | 230 | 42.87 | 8.8 | 7.3 | 1,823 | 877 | 166 | 161 | 51.89 | 11.0 | 11.3 |
Caltech | 60 | 1,215 | 500 | 82 | 114 | 41.15 | 14.8 | 10.7 | 1,396 | 691 | 113 | 106 | 50.50 | 12.4 | 13.2 |
Occidental | 85 | 1,562 | 624 | 143 | 167 | 39.95 | 10.9 | 9.4 | 1,923 | 1,011 | 180 | 166 | 47.43 | 10.7 | 11.6 |
Conference Average | 95 | 1,963 | 936 | 156 | 160 | 47.00 | 12.8 | 12.9 | 1,936 | 908 | 150 | 167 | 52.99 | 13.0 | 11.7 |
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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 |
73.56 |
2019-10-01 | Whittier, Calif. |
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GAME |
72.36 |
2019-10-01 |
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GAME |
72.02 |
2019-10-18 | Whittier, Calif. |
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GAME |
71.62 |
2019-11-07 |
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GAME |
70.77 |
2019-10-15 | Claremont, CA |
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GAME |
70.05 |
2019-10-26 | Claremont, CA |
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GAME |
69.90 |
2019-11-02 | La Verne, CA |
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GAME |
69.76 |
2019-10-15 | Claremont, CA |
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GAME |
69.53 |
2019-09-20 | Claremont, CA |
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GAME |
69.40 |
2019-09-24 | Claremont, CA |
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Name | Team | Role |
---|---|---|
Haley Celaya | La Verne | A |
Maci Haddad | Cal Lutheran | A |
Jessi Lumsden | Chapman | A |
Amanda Walker | Claremont-M-S | A |
Catherine Helgeson | Chapman | D |
Sophie Srivastava | Chapman | D |
Madison Maynes | La Verne | S |
Rank | Name | Team |
---|---|---|
1 | Sophie Srivastava | Chapman |
2 | Phoebe Madsen | Claremont-M-S |
3 | Jessi Lumsden | Chapman |
4 | Catherine Helgeson | Chapman |
5 | Sarah Tritschler | Claremont-M-S |
Rank | Name | Team |
---|---|---|
1 | Jessi Lumsden | Chapman |
2 | Amanda Walker | Claremont-M-S |
3 | Haley Celaya | La Verne |
4 | Maci Haddad | Cal Lutheran |
5 | Katelyn Popoff | Whittier |
Rank | Name | Team |
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1 | Madison Maynes | La Verne |
2 | Adrienne Tong | Pomona-Pitzer |
3 | Jennifer Kent | Cal Lutheran |
4 | Lara Minassians | Occidental |
5 | Jenna Richardson | Chapman |
Rank | Name | Team |
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1 | Catherine Helgeson | Chapman |
2 | Sarah Tritschler | Claremont-M-S |
3 | Megan Wang | Caltech |
4 | Emma Estigoy | La Verne |
5 | Lauren Asato | Pomona-Pitzer |
Rk. | Name | Team | WPA |
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1 | Sophie Srivastava | Chapman | 22.3181 |
2 | Madison Maynes | La Verne | 20.7944 |
3 | Phoebe Madsen | Claremont-M-S | 19.6975 |
4 | Emma Estigoy | La Verne | 18.7414 |
5 | Jessi Lumsden | Chapman | 18.2821 |
6 | Sarah Tritschler | Claremont-M-S | 17.5473 |
7 | Lauren Asato | Pomona-Pitzer | 17.3718 |
8 | Catherine Helgeson | Chapman | 17.3243 |
9 | Adrienne Tong | Pomona-Pitzer | 16.8553 |
10 | Makayla Wright | Whittier | 16.3121 |
Rk. | Name | Team | OWPA |
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1 | Sophie Srivastava | Chapman | 12.4101 |
2 | Madison Maynes | La Verne | 11.7517 |
3 | Phoebe Madsen | Claremont-M-S | 11.5844 |
4 | Jessi Lumsden | Chapman | 10.6652 |
5 | Maci Haddad | Cal Lutheran | 9.6263 |
6 | Adrienne Tong | Pomona-Pitzer | 9.3683 |
7 | Amanda Walker | Claremont-M-S | 9.1432 |
8 | Haley Celaya | La Verne | 8.5058 |
9 | Katelyn Popoff | Whittier | 8.1691 |
10 | Isabel Kelly | Pomona-Pitzer | 7.8487 |
Rk. | Name | Team | DWPA |
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1 | Emma Estigoy | La Verne | 17.9094 |
2 | Lauren Asato | Pomona-Pitzer | 15.4301 |
3 | Catherine Helgeson | Chapman | 14.6279 |
4 | Sarah Tritschler | Claremont-M-S | 14.4171 |
5 | Katie Engle | Whittier | 14.2181 |
6 | Ally Busch | Redlands | 14.0055 |
7 | Carly Howard | Cal Lutheran | 13.3763 |
8 | Megan Wang | Caltech | 11.3619 |
9 | Sophie Srivastava | Chapman | 9.9081 |
10 | Makayla Wright | Whittier | 9.1242 |
Rk. | Name | Team | WPA/S |
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1 | Sophie Srivastava | Chapman | 0.2453 |
2 | Madison Maynes | La Verne | 0.2059 |
3 | Phoebe Madsen | Claremont-M-S | 0.2052 |
4 | Jessi Lumsden | Chapman | 0.2009 |
5 | Ally Busch | Redlands | 0.1968 |
6 | Megan Wang | Caltech | 0.1966 |
7 | Catherine Helgeson | Chapman | 0.1904 |
8 | Emma Estigoy | La Verne | 0.1856 |
9 | Sarah Tritschler | Claremont-M-S | 0.1847 |
10 | Krystyna Maruszko | Caltech | 0.1793 |
Rk. | Name | Team | OWPA/S |
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1 | Sophie Srivastava | Chapman | 0.1364 |
2 | Phoebe Madsen | Claremont-M-S | 0.1207 |
3 | Jessi Lumsden | Chapman | 0.1172 |
4 | Madison Maynes | La Verne | 0.1164 |
5 | Haley Celaya | La Verne | 0.1134 |
6 | Amanda Walker | Claremont-M-S | 0.1051 |
7 | Adrienne Tong | Pomona-Pitzer | 0.0946 |
8 | Maci Haddad | Cal Lutheran | 0.0926 |
9 | Lauren Li | Caltech | 0.0891 |
10 | Krystyna Maruszko | Caltech | 0.0864 |
Rk. | Name | Team | DWPA/S |
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1 | Megan Wang | Caltech | 0.1894 |
2 | Ally Busch | Redlands | 0.1819 |
3 | Emma Estigoy | La Verne | 0.1773 |
4 | Catherine Helgeson | Chapman | 0.1607 |
5 | Lauren Asato | Pomona-Pitzer | 0.1559 |
6 | Katie Engle | Whittier | 0.1545 |
7 | Sarah Tritschler | Claremont-M-S | 0.1518 |
8 | Kennedy Dirkes | Occidental | 0.1517 |
9 | Carly Howard | Cal Lutheran | 0.1311 |
10 | Kathea Schamblin | Whittier | 0.1192 |
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.