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 | Wittenberg | 1,548.9155 | 1,509.5145 | 1,529.0881 | 58.13 | 61.79 | 0.197 |
2nd | DePauw | 1,492.8599 | 1,460.7756 | 1,476.7306 | 59.68 | 56.60 | 0.186 |
3rd | Hiram | 1,463.9945 | 1,429.0804 | 1,446.4321 | 55.90 | 59.07 | 0.133 |
4th | Denison | 1,450.3620 | 1,411.5119 | 1,430.8051 | 57.12 | 54.99 | 0.115 |
5th | Ohio Wesleyan | 1,446.6898 | 1,402.3584 | 1,424.3516 | 51.77 | 59.09 | 0.128 |
6th | Kenyon | 1,370.7270 | 1,334.8388 | 1,352.6639 | 50.67 | 52.65 | 0.058 |
7th | Wooster | 1,338.1064 | 1,303.6363 | 1,320.7589 | 49.72 | 51.97 | 0.054 |
8th | Oberlin | 1,306.9179 | 1,274.4202 | 1,290.5668 | 48.25 | 49.62 | 0.016 |
9th | Allegheny | 1,247.7668 | 1,215.0952 | 1,231.3227 | 50.59 | 44.72 | -0.062 |
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 | DePauw | 0.2594 | 37.98 | 12.05 | 34.82 | 49.61 | 3.37 | 9.22 |
2nd | Wittenberg | 0.2495 | 38.09 | 13.14 | 35.40 | 46.67 | 4.14 | 10.08 |
3rd | Ohio Wesleyan | 0.2330 | 37.66 | 14.36 | 34.87 | 48.26 | 3.21 | 12.95 |
4th | Denison | 0.2299 | 35.16 | 12.17 | 31.94 | 53.34 | 3.40 | 12.14 |
5th | Hiram | 0.2230 | 35.76 | 13.47 | 33.60 | 51.77 | 3.27 | 11.52 |
6th | Kenyon | 0.2142 | 34.80 | 13.38 | 31.92 | 52.26 | 4.33 | 10.57 |
7th | Wooster | 0.2040 | 34.41 | 14.01 | 31.57 | 51.24 | 4.25 | 9.82 |
8th | Oberlin | 0.1862 | 33.89 | 15.27 | 31.86 | 54.82 | 3.72 | 8.45 |
9th | Allegheny | 0.1234 | 28.25 | 15.91 | 25.86 | 58.67 | 3.81 | 7.98 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | Wittenberg | 0.0523 | 22.23 | 17.00 | 20.33 | 64.37 | 5.13 | 4.59 |
2nd | DePauw | 0.0730 | 24.13 | 16.83 | 22.82 | 62.89 | 4.67 | 7.62 |
3rd | Hiram | 0.0904 | 25.60 | 16.56 | 23.72 | 62.12 | 4.34 | 4.62 |
4th | Ohio Wesleyan | 0.1052 | 28.63 | 18.11 | 26.78 | 56.04 | 5.53 | 8.66 |
5th | Denison | 0.1144 | 27.98 | 16.54 | 26.35 | 57.14 | 5.17 | 7.73 |
6th | Wooster | 0.1496 | 28.81 | 13.85 | 25.83 | 57.71 | 2.88 | 9.34 |
7th | Kenyon | 0.1567 | 31.27 | 15.60 | 28.52 | 53.59 | 5.31 | 8.24 |
8th | Oberlin | 0.1704 | 32.80 | 15.76 | 29.71 | 54.78 | 4.18 | 8.09 |
9th | Allegheny | 0.1857 | 32.55 | 13.99 | 30.18 | 53.00 | 3.71 | 9.47 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,389.1911 | 1,391.7584 | 1,395.0023 | 1,402.6069 | 1,394.6397 |
Difference | 2.5673 | 5.8112 | 13.4158 | 7.2648 |
Offense | Defense | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Team | Sets | S | SP | SA | SE | SP% | S/SA | S/SE | OS | SPA | SAA | SEA | SO% | OS/SAA | OS/SEA |
DePauw | 99 | 1,942 | 1,142 | 156 | 144 | 58.81 | 12.4 | 13.5 | 1,623 | 817 | 168 | 169 | 49.66 | 9.7 | 9.6 |
Denison | 76 | 1,606 | 887 | 188 | 131 | 55.23 | 8.5 | 12.3 | 1,485 | 746 | 132 | 150 | 49.76 | 11.3 | 9.9 |
Wittenberg | 89 | 1,753 | 894 | 130 | 169 | 51.00 | 13.5 | 10.4 | 1,631 | 769 | 108 | 167 | 52.85 | 15.1 | 9.8 |
Hiram | 108 | 2,003 | 1,013 | 224 | 204 | 50.57 | 8.9 | 9.8 | 1,897 | 899 | 122 | 185 | 52.61 | 15.5 | 10.3 |
Ohio Wesleyan | 109 | 2,081 | 970 | 252 | 270 | 46.61 | 8.3 | 7.7 | 2,111 | 1,011 | 226 | 189 | 52.11 | 9.3 | 11.2 |
Wooster | 95 | 1,824 | 884 | 169 | 232 | 48.47 | 10.8 | 7.9 | 1,967 | 1,034 | 200 | 158 | 47.43 | 9.8 | 12.4 |
Oberlin | 85 | 1,297 | 635 | 133 | 199 | 48.96 | 9.8 | 6.5 | 1,387 | 756 | 149 | 124 | 45.49 | 9.3 | 11.2 |
Kenyon | 95 | 1,734 | 813 | 161 | 169 | 46.89 | 10.8 | 10.3 | 1,923 | 1,011 | 196 | 151 | 47.43 | 9.8 | 12.7 |
Allegheny | 91 | 1,549 | 806 | 132 | 144 | 52.03 | 11.7 | 10.8 | 1,748 | 1,016 | 197 | 199 | 41.88 | 8.9 | 8.8 |
Conference Average | 94 | 1,754 | 894 | 172 | 185 | 50.95 | 10.5 | 9.9 | 1,752 | 895 | 166 | 166 | 48.80 | 11.0 | 10.6 |
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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 |
74.56 |
2019-10-08 | Delaware, Ohio, USA |
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GAME |
67.54 |
2019-10-22 |
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GAME |
67.37 |
2019-10-02 |
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GAME |
66.02 |
2019-10-29 | Springfield, OH |
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GAME |
65.76 |
2019-09-27 | Hiram, Ohio |
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GAME |
65.40 |
2019-10-26 | Delaware, Ohio, USA |
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GAME |
65.40 |
2019-10-17 |
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GAME |
65.06 |
2019-10-12 | Wooster, Ohio |
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GAME |
64.96 |
2019-09-28 | Hiram, Ohio |
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GAME |
64.84 |
2019-10-12 | Delaware, Ohio, USA |
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Name | Team | Role |
---|---|---|
Lucy Anderson | Denison | A |
Paige Kucinic | Wittenberg | A |
Morgan Stearley | DePauw | A |
Emma Woerner | Denison | A |
Katie Hiestand | Wittenberg | D |
Taylor Yontz | Wittenberg | D |
Sophie Tight | Denison | S |
Name | Team | Role |
---|---|---|
Erin Bitzer | Ohio Wesleyan | A |
Jordan Brandt | Ohio Wesleyan | A |
Aubrey Cox | Wittenberg | A |
Kiara Franks | Hiram | A |
Jenna Corrao | Denison | D |
Payton McElfresh | Denison | D |
Molly Jewett | Ohio Wesleyan | S |
Rank | Name | Team |
---|---|---|
1 | Lucy Anderson | Denison |
2 | Katie Hiestand | Wittenberg |
3 | Morgan Stearley | DePauw |
4 | Emma Woerner | Denison |
5 | Sophie Tight | Denison |
Rank | Name | Team |
---|---|---|
1 | Lucy Anderson | Denison |
2 | Morgan Stearley | DePauw |
3 | Emma Woerner | Denison |
4 | Aubrey Cox | Wittenberg |
5 | Jordan Brandt | Ohio Wesleyan |
Rank | Name | Team |
---|---|---|
1 | Sophie Tight | Denison |
2 | Molly Jewett | Ohio Wesleyan |
3 | Meghan Botsch | Wooster |
4 | Ashley Brooks | Wittenberg |
5 | Emily Chrustic | Hiram |
Rank | Name | Team |
---|---|---|
1 | Taylor Yontz | Wittenberg |
2 | Jenna Corrao | Denison |
3 | Meghan Schwallie | Ohio Wesleyan |
4 | Jenna Purichia | DePauw |
5 | Lindsey Walker | Hiram |
Rk. | Name | Team | WPA |
---|---|---|---|
1 | Morgan Stearley | DePauw | 18.3213 |
2 | Molly Jewett | Ohio Wesleyan | 15.8751 |
3 | Kayla Cole | Hiram | 15.4266 |
4 | Katie Hiestand | Wittenberg | 15.2958 |
5 | Meghan Schwallie | Ohio Wesleyan | 14.9681 |
6 | Sophie Tight | Denison | 14.6221 |
7 | Taylor Yontz | Wittenberg | 13.6932 |
8 | Hayley Nash | Wooster | 13.6040 |
9 | Emma Woerner | Denison | 13.4506 |
10 | Lucy Anderson | Denison | 13.3111 |
Rk. | Name | Team | OWPA |
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1 | Morgan Stearley | DePauw | 10.5535 |
2 | Jordan Brandt | Ohio Wesleyan | 10.5223 |
3 | Molly Jewett | Ohio Wesleyan | 9.6285 |
4 | Sophie Tight | Denison | 9.4354 |
5 | Lucy Anderson | Denison | 9.2615 |
6 | Kayla Cole | Hiram | 7.7714 |
7 | Meghan Botsch | Wooster | 7.6744 |
8 | Katie Billetdeaux | Wooster | 7.5787 |
9 | Emma Woerner | Denison | 7.2728 |
10 | Katie Hiestand | Wittenberg | 6.6655 |
Rk. | Name | Team | DWPA |
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1 | Meghan Schwallie | Ohio Wesleyan | 14.6388 |
2 | Taylor Yontz | Wittenberg | 13.5353 |
3 | Rebecca MacQuarrie | Allegheny | 12.0086 |
4 | Sydney Fitzcharles | Wooster | 11.7863 |
5 | Jenna Purichia | DePauw | 11.7528 |
6 | Mackenzie Brannon | Hiram | 10.5161 |
7 | Jenna Corrao | Denison | 10.0974 |
8 | Lindsey Stahl | Hiram | 9.0615 |
9 | Katie Howard | Kenyon | 8.9973 |
10 | Mackenzie Bruzzio | Kenyon | 8.7309 |
Rk. | Name | Team | WPA/S |
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1 | Morgan Stearley | DePauw | 0.2349 |
2 | Katie Hiestand | Wittenberg | 0.2095 |
3 | Sophie Tight | Denison | 0.2089 |
4 | Emma Woerner | Denison | 0.2038 |
5 | Lucy Anderson | Denison | 0.1987 |
6 | Payton McElfresh | Denison | 0.1955 |
7 | Jenna Corrao | Denison | 0.1765 |
8 | Taylor Yontz | Wittenberg | 0.1733 |
9 | Molly Jewett | Ohio Wesleyan | 0.1707 |
10 | Hayley Nash | Wooster | 0.1680 |
Rk. | Name | Team | OWPA/S |
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1 | Lucy Anderson | Denison | 0.1382 |
2 | Morgan Stearley | DePauw | 0.1353 |
3 | Sophie Tight | Denison | 0.1348 |
4 | Jordan Brandt | Ohio Wesleyan | 0.1131 |
5 | Emma Woerner | Denison | 0.1102 |
6 | Molly Jewett | Ohio Wesleyan | 0.1035 |
7 | Aubrey Cox | Wittenberg | 0.0934 |
8 | Katie Hiestand | Wittenberg | 0.0913 |
9 | Meghan Botsch | Wooster | 0.0903 |
10 | Katie Billetdeaux | Wooster | 0.0861 |
Rk. | Name | Team | DWPA/S |
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1 | Taylor Yontz | Wittenberg | 0.1713 |
2 | Jenna Corrao | Denison | 0.1683 |
3 | Rebecca MacQuarrie | Allegheny | 0.1560 |
4 | Meghan Schwallie | Ohio Wesleyan | 0.1557 |
5 | Jenna Purichia | DePauw | 0.1507 |
6 | Sydney Fitzcharles | Wooster | 0.1339 |
7 | Katie Hiestand | Wittenberg | 0.1182 |
8 | Katie Howard | Kenyon | 0.1139 |
9 | Mackenzie Brannon | Hiram | 0.1131 |
10 | Payton McElfresh | Denison | 0.1101 |
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.