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. |
---|---|---|---|---|---|---|---|
1st | Fairfield | 1,353.7264 | 1,337.4473 | 1,345.5623 | 40.45 | 55.63 | -0.050 |
2nd | Siena | 1,337.7255 | 1,312.8022 | 1,325.2052 | 39.66 | 54.66 | -0.046 |
3rd | Niagara | 1,320.6626 | 1,297.0236 | 1,308.7898 | 40.27 | 52.23 | -0.070 |
4th | Canisius | 1,307.7043 | 1,296.5349 | 1,302.1076 | 39.09 | 52.76 | -0.085 |
5th | Iona | 1,286.1978 | 1,262.9378 | 1,274.5147 | 37.38 | 53.68 | -0.088 |
6th | Manhattan | 1,275.3392 | 1,266.0854 | 1,270.7039 | 36.95 | 52.42 | -0.112 |
7th | Loyola Maryland | 1,237.8728 | 1,214.1215 | 1,225.9397 | 35.20 | 50.43 | -0.124 |
8th | Marist | 1,225.6181 | 1,196.6740 | 1,211.0596 | 34.28 | 49.89 | -0.165 |
9th | Rider | 1,201.7528 | 1,171.0225 | 1,186.2882 | 33.78 | 49.18 | -0.153 |
10th | Saint Peter's | 1,042.8168 | 1,045.4803 | 1,044.1477 | 29.03 | 39.70 | -0.306 |
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 | Siena | 0.1703 | 33.28 | 16.25 | 30.80 | 49.36 | 6.56 | 4.45 |
2nd | Fairfield | 0.1683 | 33.69 | 16.86 | 31.83 | 51.64 | 5.40 | 4.30 |
3rd | Niagara | 0.1673 | 31.24 | 14.51 | 28.92 | 55.35 | 5.31 | 5.39 |
4th | Canisius | 0.1611 | 31.07 | 14.95 | 28.95 | 54.81 | 6.65 | 4.80 |
5th | Iona | 0.1583 | 30.52 | 14.69 | 28.46 | 55.72 | 5.77 | 5.15 |
6th | Loyola Maryland | 0.1447 | 32.39 | 17.92 | 30.70 | 51.86 | 6.91 | 5.24 |
7th | Manhattan | 0.1419 | 29.82 | 15.63 | 28.34 | 55.32 | 6.86 | 3.20 |
8th | Marist | 0.1310 | 30.89 | 17.79 | 29.24 | 53.51 | 7.02 | 4.57 |
9th | Rider | 0.1222 | 26.53 | 14.31 | 24.74 | 57.46 | 6.11 | 4.17 |
10th | Saint Peter's | 0.0391 | 21.77 | 17.86 | 20.73 | 64.61 | 6.81 | 5.47 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | Siena | 0.2159 | 34.96 | 13.37 | 32.07 | 50.56 | 4.34 | 5.86 |
2nd | Fairfield | 0.2184 | 35.38 | 13.54 | 32.65 | 52.72 | 4.10 | 5.95 |
3rd | Niagara | 0.2371 | 37.58 | 13.87 | 34.50 | 48.57 | 3.76 | 6.51 |
4th | Iona | 0.2460 | 37.63 | 13.02 | 35.25 | 49.69 | 3.58 | 6.04 |
5th | Canisius | 0.2465 | 39.85 | 15.20 | 36.60 | 45.27 | 5.35 | 5.89 |
6th | Manhattan | 0.2537 | 38.09 | 12.72 | 35.31 | 48.73 | 3.28 | 6.90 |
7th | Loyola Maryland | 0.2690 | 39.77 | 12.87 | 36.30 | 48.48 | 4.10 | 5.99 |
8th | Rider | 0.2753 | 39.02 | 11.50 | 36.07 | 45.51 | 2.64 | 6.97 |
9th | Marist | 0.2961 | 42.94 | 13.33 | 39.94 | 42.69 | 4.93 | 8.36 |
10th | Saint Peter's | 0.3447 | 46.48 | 12.01 | 43.37 | 41.68 | 2.82 | 9.12 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,249.4319 | 1,263.0761 | 1,265.5192 | 1,268.3165 | 1,261.5859 |
Difference | 13.6442 | 16.0873 | 18.8846 | 16.2054 |
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 |
Fairfield | 110 | 2,483 | 1,149 | 133 | 167 | 46.28 | 18.7 | 14.9 | 2,317 | 961 | 130 | 206 | 58.52 | 17.8 | 11.2 |
Siena | 129 | 2,868 | 1,301 | 163 | 280 | 45.36 | 17.6 | 10.2 | 2,713 | 1,140 | 146 | 189 | 57.98 | 18.6 | 14.4 |
Niagara | 111 | 2,449 | 1,127 | 160 | 216 | 46.02 | 15.3 | 11.3 | 2,373 | 1,050 | 140 | 192 | 55.75 | 17.0 | 12.4 |
Canisius | 110 | 2,433 | 1,095 | 142 | 174 | 45.01 | 17.1 | 14.0 | 2,368 | 1,032 | 128 | 206 | 56.42 | 18.5 | 11.5 |
Manhattan | 118 | 2,505 | 1,112 | 121 | 129 | 44.39 | 20.7 | 19.4 | 2,439 | 1,048 | 163 | 207 | 57.03 | 15.0 | 11.8 |
Loyola Maryland | 108 | 2,291 | 980 | 153 | 248 | 42.78 | 15.0 | 9.2 | 2,374 | 1,063 | 130 | 184 | 55.22 | 18.3 | 12.9 |
Iona | 110 | 2,337 | 987 | 144 | 168 | 42.23 | 16.2 | 13.9 | 2,419 | 1,071 | 138 | 212 | 55.73 | 17.5 | 11.4 |
Rider | 110 | 2,300 | 979 | 138 | 189 | 42.57 | 16.7 | 12.2 | 2,395 | 1,075 | 154 | 197 | 55.12 | 15.6 | 12.2 |
Marist | 107 | 2,125 | 885 | 123 | 144 | 41.65 | 17.3 | 14.8 | 2,257 | 1,028 | 181 | 172 | 54.45 | 12.5 | 13.1 |
Saint Peter's | 105 | 1,870 | 686 | 132 | 181 | 36.68 | 14.2 | 10.3 | 2,561 | 1,416 | 221 | 204 | 44.71 | 11.6 | 12.6 |
Conference Average | 112 | 2,366 | 1,030 | 141 | 190 | 43.30 | 16.9 | 13.0 | 2,422 | 1,088 | 153 | 197 | 55.09 | 16.2 | 12.3 |
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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 |
69.59 |
2012-09-16 | Fairfield, Conn. |
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GAME |
67.14 |
2012-11-18 | Fairfield, Conn. |
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GAME |
66.83 |
2012-09-30 | Riverdale, N.Y. |
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GAME |
65.59 |
2012-11-11 | Lawrenceville, N.J. |
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GAME |
65.15 |
2012-10-13 | Buffalo, N.Y. |
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GAME |
64.17 |
2012-10-27 | Fairfield, Conn. |
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GAME |
63.89 |
2012-11-10 | New Rochelle, NY |
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GAME |
63.68 |
2012-10-21 | Buffalo, N.Y. |
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GAME |
63.54 |
2012-10-07 | New Rochelle, NY |
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GAME |
63.21 |
2012-11-04 | Niagara Univ., N.Y. |
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Name | Team | Role |
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Taylor Akana | Siena | A |
Mariana Furquim | Manhattan | A |
Samantha Good | Canisius | A |
Jacqueline Skeen | Siena | A |
Lesli Akeo | Siena | D |
Kari Honomichl | Niagara | D |
Rachel Romansky | Fairfield | S |
Name | Team | Role |
---|---|---|
Colleen Ahearn | Siena | A |
Brianna Dixion | Fairfield | A |
Emily Elek | Canisius | A |
Mackenzie Stephens | Marist | A |
Allyson Severyn | Canisius | D |
Michelle James | Niagara | S |
Sarah Sivertson | Siena | S |
Rank | Name | Team |
---|---|---|
1 | Rachel Romansky | Fairfield |
2 | Taylor Akana | Siena |
3 | Lesli Akeo | Siena |
4 | Mariana Furquim | Manhattan |
5 | Kari Honomichl | Niagara |
Rank | Name | Team |
---|---|---|
1 | Taylor Akana | Siena |
2 | Mariana Furquim | Manhattan |
3 | Emily Elek | Canisius |
4 | Brianna Dixion | Fairfield |
5 | Catrina Warren | Iona |
Rank | Name | Team |
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1 | Rachel Romansky | Fairfield |
2 | Sarah Sivertson | Siena |
3 | Michelle James | Niagara |
4 | Jamie Collareta | Manhattan |
5 | Sydney Palka | Canisius |
Rank | Name | Team |
---|---|---|
1 | Lesli Akeo | Siena |
2 | Allyson Severyn | Canisius |
3 | Kara Reis | Fairfield |
4 | Allison Reis | Niagara |
5 | Theresa Harvey | Iona |
Rk. | Name | Team | WPA |
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1 | Lesli Akeo | Siena | 27.1873 |
2 | Taylor Akana | Siena | 25.9108 |
3 | Rachel Romansky | Fairfield | 25.5071 |
4 | Mariana Furquim | Manhattan | 24.3989 |
5 | Sarah Sivertson | Siena | 24.3622 |
6 | Kari Honomichl | Niagara | 22.2206 |
7 | Allyson Severyn | Canisius | 21.5226 |
8 | Michelle James | Niagara | 21.3138 |
9 | Kara Reis | Fairfield | 18.8533 |
10 | Theresa Harvey | Iona | 18.6343 |
Rk. | Name | Team | OWPA |
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1 | Sarah Sivertson | Siena | 17.2107 |
2 | Rachel Romansky | Fairfield | 16.6899 |
3 | Michelle James | Niagara | 12.2804 |
4 | Taylor Akana | Siena | 12.2184 |
5 | Ellen Senf | Niagara | 12.2173 |
6 | Mariana Furquim | Manhattan | 12.1117 |
7 | Jac Bullock | Loyola Maryland | 11.3951 |
8 | Samantha Good | Canisius | 10.9490 |
9 | Sydney Palka | Canisius | 10.6952 |
10 | Lauren Anderson | Loyola Maryland | 10.2645 |
Rk. | Name | Team | DWPA |
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1 | Lesli Akeo | Siena | 25.8192 |
2 | Allyson Severyn | Canisius | 20.6839 |
3 | Kara Reis | Fairfield | 18.5218 |
4 | Theresa Harvey | Iona | 18.4019 |
5 | Brittany Gajewski | Rider | 18.2705 |
6 | Allison Reis | Niagara | 17.6013 |
7 | Kelsey Huntoon | Manhattan | 17.5237 |
8 | Taylor Akana | Siena | 13.6924 |
9 | Jenny Pliska | Saint Peter's | 13.5504 |
10 | Brooke Zywick | Marist | 12.7858 |
Rk. | Name | Team | WPA/S |
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1 | Rachel Romansky | Fairfield | 0.2319 |
2 | Mariana Furquim | Manhattan | 0.2159 |
3 | Lesli Akeo | Siena | 0.2108 |
4 | Taylor Akana | Siena | 0.2056 |
5 | Kari Honomichl | Niagara | 0.2002 |
6 | Allyson Severyn | Canisius | 0.1957 |
7 | Michelle James | Niagara | 0.1920 |
8 | Sarah Sivertson | Siena | 0.1918 |
9 | Jamie Collareta | Manhattan | 0.1836 |
10 | Madisyn Spence | Iona | 0.1726 |
Rk. | Name | Team | OWPA/S |
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1 | Rachel Romansky | Fairfield | 0.1517 |
2 | Sarah Sivertson | Siena | 0.1355 |
3 | Michelle James | Niagara | 0.1106 |
4 | Ellen Senf | Niagara | 0.1101 |
5 | Mariana Furquim | Manhattan | 0.1072 |
6 | Hanna Stoiberg | Marist | 0.1063 |
7 | Jac Bullock | Loyola Maryland | 0.1055 |
8 | Lauren Anderson | Loyola Maryland | 0.1037 |
9 | Jamie Collareta | Manhattan | 0.1004 |
10 | Brianna Dixion | Fairfield | 0.0999 |
Rk. | Name | Team | DWPA/S |
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1 | Lesli Akeo | Siena | 0.2001 |
2 | Allyson Severyn | Canisius | 0.1880 |
3 | Brittany Gajewski | Rider | 0.1740 |
4 | Kara Reis | Fairfield | 0.1684 |
5 | Theresa Harvey | Iona | 0.1673 |
6 | Allison Reis | Niagara | 0.1615 |
7 | Kelsey Huntoon | Manhattan | 0.1524 |
8 | Jenny Pliska | Saint Peter's | 0.1291 |
9 | Brooke Zywick | Marist | 0.1229 |
10 | Kara Schiffer | Loyola Maryland | 0.1196 |
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.