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 | Tufts | 1,574.5017 | 1,538.3226 | 1,556.3070 | 60.40 | 66.99 | 0.301 |
2nd | Wesleyan (CT) | 1,562.0402 | 1,527.0395 | 1,544.4407 | 59.85 | 67.13 | 0.248 |
3rd | Bowdoin | 1,507.0896 | 1,464.2450 | 1,485.5129 | 55.21 | 64.70 | 0.203 |
4th | Amherst | 1,487.4766 | 1,456.7562 | 1,472.0363 | 60.58 | 58.82 | 0.193 |
5th | Middlebury | 1,434.0455 | 1,393.6878 | 1,413.7227 | 52.27 | 60.87 | 0.130 |
6th | Williams | 1,418.1921 | 1,387.3205 | 1,402.6714 | 56.23 | 54.47 | 0.112 |
7th | Bates | 1,415.6696 | 1,377.6420 | 1,396.5264 | 55.77 | 60.36 | 0.102 |
8th | Hamilton | 1,359.4174 | 1,323.2247 | 1,341.1989 | 52.90 | 51.43 | 0.052 |
9th | Trinity (CT) | 1,307.4501 | 1,277.1289 | 1,292.2005 | 50.08 | 51.13 | 0.001 |
10th | Connecticut Col. | 1,289.3504 | 1,259.2692 | 1,274.2210 | 50.97 | 50.00 | -0.010 |
11th | Colby | 1,239.4588 | 1,199.8665 | 1,219.5020 | 44.26 | 49.22 | -0.077 |
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 | Tufts | 0.3570 | 46.96 | 11.26 | 43.72 | 40.80 | 2.94 | 8.84 |
2nd | Bowdoin | 0.2918 | 42.03 | 12.85 | 38.85 | 46.28 | 3.24 | 10.16 |
3rd | Wesleyan (CT) | 0.2875 | 39.33 | 10.58 | 36.52 | 46.59 | 3.07 | 9.39 |
4th | Amherst | 0.2768 | 38.52 | 10.83 | 36.39 | 50.96 | 3.61 | 6.56 |
5th | Middlebury | 0.2602 | 36.89 | 10.88 | 34.15 | 52.30 | 3.73 | 8.65 |
6th | Williams | 0.2257 | 34.76 | 12.18 | 32.38 | 52.58 | 3.03 | 9.58 |
7th | Bates | 0.2237 | 33.63 | 11.26 | 31.01 | 52.54 | 4.06 | 10.28 |
8th | Hamilton | 0.1853 | 33.33 | 14.80 | 31.45 | 51.84 | 3.85 | 9.71 |
9th | Connecticut Col. | 0.1653 | 31.91 | 15.38 | 30.19 | 52.69 | 4.03 | 11.83 |
10th | Trinity (CT) | 0.1436 | 31.07 | 16.71 | 29.15 | 56.65 | 3.80 | 9.86 |
11th | Colby | 0.1137 | 28.33 | 16.96 | 26.33 | 58.34 | 4.17 | 9.98 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | Wesleyan (CT) | 0.0395 | 21.50 | 17.55 | 20.38 | 63.68 | 4.32 | 7.33 |
2nd | Tufts | 0.0563 | 24.80 | 19.17 | 23.26 | 59.86 | 6.09 | 6.63 |
3rd | Amherst | 0.0836 | 25.89 | 17.53 | 23.93 | 60.60 | 4.87 | 7.63 |
4th | Bowdoin | 0.0890 | 26.25 | 17.35 | 24.71 | 60.97 | 6.19 | 7.41 |
5th | Williams | 0.1139 | 28.34 | 16.95 | 25.44 | 58.57 | 4.70 | 6.88 |
6th | Bates | 0.1213 | 27.26 | 15.13 | 24.67 | 60.11 | 4.14 | 5.32 |
7th | Middlebury | 0.1303 | 29.55 | 16.53 | 27.53 | 55.74 | 4.36 | 6.41 |
8th | Hamilton | 0.1336 | 27.95 | 14.58 | 24.85 | 59.06 | 3.57 | 8.37 |
9th | Trinity (CT) | 0.1430 | 30.71 | 16.41 | 27.75 | 57.74 | 5.04 | 9.32 |
10th | Connecticut Col. | 0.1756 | 33.29 | 15.73 | 30.91 | 52.99 | 3.55 | 11.47 |
11th | Colby | 0.1908 | 34.01 | 14.93 | 31.02 | 50.40 | 3.39 | 9.95 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,399.8491 | 1,402.5034 | 1,400.5527 | 1,405.2311 | 1,402.0341 |
Difference | 2.6543 | 0.7037 | 5.3821 | 2.9134 |
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 |
Wesleyan (CT) | 81 | 1,780 | 991 | 152 | 87 | 55.67 | 11.7 | 20.5 | 1,344 | 531 | 106 | 140 | 60.49 | 12.7 | 9.6 |
Tufts | 91 | 1,950 | 1,059 | 168 | 164 | 54.31 | 11.6 | 11.9 | 1,498 | 581 | 111 | 175 | 61.22 | 13.5 | 8.6 |
Amherst | 86 | 1,946 | 1,115 | 119 | 82 | 57.30 | 16.4 | 23.7 | 1,571 | 722 | 122 | 154 | 54.04 | 12.9 | 10.2 |
Bates | 89 | 1,629 | 891 | 216 | 187 | 54.70 | 7.5 | 8.7 | 1,380 | 617 | 121 | 147 | 55.29 | 11.4 | 9.4 |
Bowdoin | 87 | 1,809 | 896 | 168 | 161 | 49.53 | 10.8 | 11.2 | 1,613 | 685 | 143 | 152 | 57.53 | 11.3 | 10.6 |
Middlebury | 87 | 1,920 | 977 | 146 | 147 | 50.89 | 13.2 | 13.1 | 1,773 | 805 | 117 | 151 | 54.60 | 15.2 | 11.7 |
Williams | 92 | 1,989 | 1,070 | 176 | 143 | 53.80 | 11.3 | 13.9 | 1,837 | 928 | 137 | 174 | 49.48 | 13.4 | 10.6 |
Hamilton | 80 | 1,430 | 730 | 154 | 153 | 51.05 | 9.3 | 9.3 | 1,457 | 776 | 148 | 124 | 46.74 | 9.8 | 11.8 |
Connecticut Col. | 86 | 1,739 | 891 | 200 | 211 | 51.24 | 8.7 | 8.2 | 1,881 | 1,007 | 216 | 172 | 46.47 | 8.7 | 10.9 |
Colby | 104 | 1,802 | 895 | 207 | 223 | 49.67 | 8.7 | 8.1 | 1,955 | 1,052 | 221 | 218 | 46.19 | 8.8 | 9.0 |
Trinity (CT) | 79 | 1,421 | 674 | 149 | 137 | 47.43 | 9.5 | 10.4 | 1,705 | 987 | 159 | 138 | 42.11 | 10.7 | 12.4 |
Conference Average | 87 | 1,765 | 926 | 169 | 154 | 52.32 | 10.8 | 12.6 | 1,638 | 790 | 146 | 159 | 52.20 | 11.7 | 10.4 |
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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 |
75.11 |
2019-09-21 | Middletown, Conn. |
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GAME |
71.15 |
2019-10-05 | Lewiston, Maine |
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GAME |
70.94 |
2019-10-04 | Brunswick, Maine |
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GAME |
70.37 |
2019-10-25 | Middlebury, Vt. |
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GAME |
69.38 |
2019-11-01 | Williamstown, MA |
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GAME |
68.50 |
2019-10-26 | Middletown, Conn. |
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GAME |
68.26 |
2019-09-21 | Lewiston, Maine |
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GAME |
67.69 |
2019-09-20 | Lewiston, Maine |
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GAME |
67.65 |
2019-10-12 |
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GAME |
67.23 |
2019-11-08 | Medford, Mass. |
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Name | Team | Role |
---|---|---|
Cate Desler | Tufts | A |
Corley Doyle | Middlebury | A |
Ashley Williams | Bowdoin | A |
Maggie Wise | Middlebury | A |
Gigi Alper | Middlebury | D |
Bridgid Bell | Tufts | D |
Grace McGee | Connecticut Col. | S |
Rank | Name | Team |
---|---|---|
1 | Kaira Muroka-Robertson | Wesleyan (CT) |
2 | Phia Bellizzi | Wesleyan (CT) |
3 | Nicole Hilton | Wesleyan (CT) |
4 | Gigi Alper | Middlebury |
5 | Bridgid Bell | Tufts |
Rank | Name | Team |
---|---|---|
1 | Nicole Hilton | Wesleyan (CT) |
2 | Erin Denham | Williams |
3 | Maggie Wise | Middlebury |
4 | Cate Desler | Tufts |
5 | Sophie Launsbach | Amherst |
Rank | Name | Team |
---|---|---|
1 | Rachel Furash | Tufts |
2 | Grace McGee | Connecticut Col. |
3 | Charlotte Duran | Amherst |
4 | Emma Parkhurst | Hamilton |
5 | Ella Haugen | Bowdoin |
Rank | Name | Team |
---|---|---|
1 | Phia Bellizzi | Wesleyan (CT) |
2 | Gigi Alper | Middlebury |
3 | Daiana Takashima | Williams |
4 | Nikki Matsuoka | Hamilton |
5 | Emily King | Bowdoin |
Rk. | Name | Team | WPA |
---|---|---|---|
1 | Gigi Alper | Middlebury | 15.2699 |
2 | Daiana Takashima | Williams | 14.9451 |
3 | Erin Denham | Williams | 14.8573 |
4 | Maggie Wise | Middlebury | 14.4675 |
5 | Phia Bellizzi | Wesleyan (CT) | 14.0299 |
6 | Lydia Kurtz | Williams | 13.3445 |
7 | Alex Newton | Williams | 12.9080 |
8 | Kaira Muroka-Robertson | Wesleyan (CT) | 12.8399 |
9 | Caroline Flaharty | Bowdoin | 12.7440 |
10 | Emily Kolsky | Amherst | 12.6035 |
Rk. | Name | Team | OWPA |
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1 | Erin Denham | Williams | 9.5328 |
2 | Giuliana Rankin | Hamilton | 8.8569 |
3 | Maggie Wise | Middlebury | 8.4358 |
4 | Maddie Stewart | Tufts | 8.1858 |
5 | Grace McGee | Connecticut Col. | 7.9157 |
6 | Kaira Muroka-Robertson | Wesleyan (CT) | 7.2773 |
7 | Emily Kolsky | Amherst | 6.7584 |
8 | Jamie Dailey | Amherst | 6.5859 |
9 | Sophie Launsbach | Amherst | 6.5787 |
10 | Alex Newton | Williams | 6.4833 |
Rk. | Name | Team | DWPA |
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1 | Gigi Alper | Middlebury | 14.9171 |
2 | Daiana Takashima | Williams | 12.6397 |
3 | Phia Bellizzi | Wesleyan (CT) | 12.4234 |
4 | Nikki Matsuoka | Hamilton | 12.0860 |
5 | Emily King | Bowdoin | 11.0621 |
6 | Gabi Eustache | Bates | 9.3583 |
7 | Elle Kass | Connecticut Col. | 8.6207 |
8 | Skyleur Savage | Amherst | 7.6544 |
9 | Lydia Kurtz | Williams | 7.5376 |
10 | Elizabeth Middlebrook | Colby | 7.2852 |
Rk. | Name | Team | WPA/S |
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1 | Kaira Muroka-Robertson | Wesleyan (CT) | 0.2071 |
2 | Phia Bellizzi | Wesleyan (CT) | 0.1976 |
3 | Nikki Matsuoka | Hamilton | 0.1940 |
4 | Lydia Kurtz | Williams | 0.1779 |
5 | Gigi Alper | Middlebury | 0.1776 |
6 | Deirdre Corrigan | Hamilton | 0.1775 |
7 | Erin Denham | Williams | 0.1748 |
8 | Daiana Takashima | Williams | 0.1718 |
9 | Caroline Flaharty | Bowdoin | 0.1699 |
10 | Olivia McCulloch | Bates | 0.1670 |
Rk. | Name | Team | OWPA/S |
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1 | Giuliana Rankin | Hamilton | 0.1363 |
2 | Sophie Launsbach | Amherst | 0.1175 |
3 | Kaira Muroka-Robertson | Wesleyan (CT) | 0.1174 |
4 | Erin Denham | Williams | 0.1122 |
5 | Nicole Hilton | Wesleyan (CT) | 0.1079 |
6 | Maddie Stewart | Tufts | 0.0998 |
7 | Maggie Wise | Middlebury | 0.0970 |
8 | Grace McGee | Connecticut Col. | 0.0965 |
9 | Taylor Stafford-Smith | Bates | 0.0834 |
10 | Sophia Pahl | Bowdoin | 0.0808 |
Rk. | Name | Team | DWPA/S |
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1 | Nikki Matsuoka | Hamilton | 0.1949 |
2 | Phia Bellizzi | Wesleyan (CT) | 0.1750 |
3 | Gigi Alper | Middlebury | 0.1735 |
4 | Daiana Takashima | Williams | 0.1453 |
5 | Gabi Eustache | Bates | 0.1440 |
6 | Emily King | Bowdoin | 0.1366 |
7 | Elle Kass | Connecticut Col. | 0.1249 |
8 | Skyleur Savage | Amherst | 0.1109 |
9 | Olivia McCulloch | Bates | 0.1035 |
10 | Ruby Lightbourn | Bates | 0.1031 |
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.