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 | Juniata | 1,659.6208 | 1,655.5314 | 1,657.5748 | 66.12 | 63.85 | 0.357 |
2nd | Scranton | 1,479.6167 | 1,474.0693 | 1,476.8404 | 62.93 | 49.76 | 0.172 |
3rd | Susquehanna | 1,451.1734 | 1,449.1040 | 1,450.1384 | 59.06 | 51.26 | 0.164 |
4th | Elizabethtown | 1,424.2771 | 1,421.6196 | 1,422.9477 | 57.72 | 52.14 | 0.097 |
5th | Drew | 1,395.1742 | 1,388.7573 | 1,391.9620 | 58.72 | 46.87 | 0.090 |
6th | Catholic | 1,369.3072 | 1,369.1120 | 1,369.2096 | 55.59 | 48.15 | 0.055 |
7th | Moravian | 1,230.8089 | 1,231.2635 | 1,231.0362 | 52.69 | 42.43 | -0.070 |
8th | Goucher | 1,143.4330 | 1,146.5650 | 1,144.9980 | 49.32 | 36.26 | -0.169 |
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 | Juniata | 0.3450 | 46.01 | 11.51 | 42.29 | 39.64 | 3.19 | 14.46 |
2nd | Susquehanna | 0.2594 | 38.52 | 12.58 | 34.74 | 46.18 | 4.02 | 9.45 |
3rd | Scranton | 0.2532 | 38.56 | 13.24 | 34.60 | 48.10 | 2.89 | 10.98 |
4th | Elizabethtown | 0.2163 | 34.45 | 12.81 | 30.63 | 51.56 | 4.05 | 9.68 |
5th | Catholic | 0.2038 | 36.95 | 16.58 | 33.72 | 48.23 | 4.51 | 10.42 |
6th | Drew | 0.1872 | 32.66 | 13.93 | 29.20 | 56.03 | 2.66 | 12.81 |
7th | Moravian | 0.1269 | 26.75 | 14.06 | 24.66 | 61.57 | 3.57 | 9.93 |
8th | Goucher | 0.0522 | 24.53 | 19.31 | 23.16 | 60.96 | 4.71 | 8.90 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | Juniata | -0.0123 | 17.40 | 18.63 | 15.64 | 68.45 | 5.97 | 6.36 |
2nd | Scranton | 0.0815 | 24.20 | 16.06 | 21.52 | 62.43 | 4.26 | 8.68 |
3rd | Susquehanna | 0.0956 | 26.64 | 17.08 | 24.63 | 57.81 | 5.65 | 6.54 |
4th | Drew | 0.0970 | 25.02 | 15.32 | 23.17 | 61.67 | 4.48 | 6.97 |
5th | Elizabethtown | 0.1189 | 28.95 | 17.06 | 26.47 | 55.40 | 5.09 | 6.20 |
6th | Catholic | 0.1492 | 32.09 | 17.17 | 29.59 | 51.71 | 4.74 | 8.98 |
7th | Moravian | 0.1969 | 33.95 | 14.26 | 31.16 | 55.20 | 2.31 | 11.88 |
8th | Goucher | 0.2207 | 35.56 | 13.49 | 31.65 | 52.18 | 2.90 | 11.99 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,393.0884 | 1,390.3557 | 1,408.5644 | 1,407.4549 | 1,399.8658 |
Difference | -2.7327 | 15.4761 | 14.3665 | 9.0366 |
Offense | Defense | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Team | Sets | S | SP | SA | SE | SP% | S/SA | S/SE | OS | SPA | SAA | SEA | SO% | OS/SAA | OS/SEA |
Juniata | 118 | 2,477 | 1,479 | 343 | 273 | 59.71 | 7.2 | 9.1 | 1,743 | 734 | 142 | 151 | 57.89 | 12.3 | 11.5 |
Elizabethtown | 106 | 2,251 | 1,297 | 243 | 182 | 57.62 | 9.3 | 12.4 | 1,946 | 967 | 155 | 198 | 50.31 | 12.6 | 9.8 |
Drew | 104 | 1,964 | 1,169 | 298 | 285 | 59.52 | 6.6 | 6.9 | 1,728 | 956 | 159 | 199 | 44.68 | 10.9 | 8.7 |
Scranton | 131 | 2,899 | 1,679 | 272 | 274 | 57.92 | 10.7 | 10.6 | 2,744 | 1,512 | 278 | 248 | 44.90 | 9.9 | 11.1 |
Catholic | 108 | 2,030 | 1,124 | 228 | 203 | 55.37 | 8.9 | 10.0 | 1,972 | 1,060 | 234 | 236 | 46.25 | 8.4 | 8.4 |
Susquehanna | 113 | 2,221 | 1,206 | 185 | 251 | 54.30 | 12.0 | 8.8 | 2,213 | 1,205 | 199 | 185 | 45.55 | 11.1 | 12.0 |
Moravian | 105 | 2,062 | 1,160 | 233 | 190 | 56.26 | 8.8 | 10.9 | 2,215 | 1,278 | 278 | 201 | 42.30 | 8.0 | 11.0 |
Goucher | 86 | 1,533 | 796 | 165 | 169 | 51.92 | 9.3 | 9.1 | 2,005 | 1,302 | 251 | 192 | 35.06 | 8.0 | 10.4 |
Conference Average | 109 | 2,180 | 1,239 | 246 | 228 | 56.58 | 9.1 | 9.7 | 2,071 | 1,127 | 212 | 201 | 45.87 | 10.1 | 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 |
71.76 |
2022-10-29 |
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GAME |
70.66 |
2022-11-05 | Huntingdon, Pa. |
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GAME |
69.41 |
2022-10-29 | Bethlehem, PA |
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GAME |
68.62 |
2022-11-02 | Huntingdon, Pa. |
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GAME |
66.46 |
2022-10-12 |
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GAME |
65.72 |
2022-10-01 | Washington, DC |
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GAME |
64.66 |
2022-11-02 |
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GAME |
64.50 |
2022-10-01 | Washington, DC |
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GAME |
64.13 |
2022-10-01 | Towson, MD |
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GAME |
64.11 |
2022-10-05 | Huntingdon, Pa. |
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Name | Team | Role |
---|---|---|
Kennedy Christy | Juniata | A |
Mackenzie Coley | Juniata | A |
Rosina Esposito | Susquehanna | A |
Lily Podolan | Juniata | A |
Katie Scaggs | Elizabethtown | A |
Kiona Rousset-Hernandez | Juniata | D |
Caileigh Cox | Scranton | S |
Olivia Foley | Juniata | S |
Name | Team | Role |
---|---|---|
Melina Christodoulou | Drew | A |
Kody Dillon | Susquehanna | A |
Stephanie Margolies | Scranton | A |
Audrey Muth | Juniata | A |
Courtney Williams | Juniata | A |
Kambrie Hepler | Elizabethtown | D |
Carah Vitkus | Scranton | D |
Keira Roach | Susquehanna | S |
Rank | Name | Team |
---|---|---|
1 | Olivia Foley | Juniata |
2 | Kiona Rousset-Hernandez | Juniata |
3 | Rosina Esposito | Susquehanna |
4 | Caileigh Cox | Scranton |
5 | Carah Vitkus | Scranton |
Rank | Name | Team |
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1 | Rosina Esposito | Susquehanna |
2 | Lily Podolan | Juniata |
3 | Mackenzie Coley | Juniata |
4 | Kennedy Christy | Juniata |
5 | Audrey Muth | Juniata |
Rank | Name | Team |
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1 | Olivia Foley | Juniata |
2 | Caileigh Cox | Scranton |
3 | Keira Roach | Susquehanna |
4 | Jasmine Butler | Drew |
5 | Abbey Telesz | Juniata |
Rank | Name | Team |
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1 | Kiona Rousset-Hernandez | Juniata |
2 | Kambrie Hepler | Elizabethtown |
3 | Lauren Gaza | Drew |
4 | Maddie Forry | Scranton |
5 | Mckenna Walker | Juniata |
Rk. | Name | Team | WPA |
---|---|---|---|
1 | Caileigh Cox | Scranton | 21.3205 |
2 | Rosina Esposito | Susquehanna | 18.4341 |
3 | Carah Vitkus | Scranton | 18.0502 |
4 | Maddie Forry | Scranton | 17.9905 |
5 | Natalia Matos | Moravian | 16.5829 |
6 | Kambrie Hepler | Elizabethtown | 16.5791 |
7 | Lauren Gaza | Drew | 16.3113 |
8 | Keira Roach | Susquehanna | 15.7700 |
9 | Andrea Camacho-Tenreiro | Drew | 15.6379 |
10 | Kiona Rousset-Hernandez | Juniata | 15.4153 |
Rk. | Name | Team | OWPA |
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1 | Caileigh Cox | Scranton | 13.4365 |
2 | Rosina Esposito | Susquehanna | 10.1954 |
3 | Olivia Foley | Juniata | 9.4661 |
4 | Keira Roach | Susquehanna | 9.4054 |
5 | Lily Podolan | Juniata | 8.2178 |
6 | Natalia Matos | Moravian | 8.1590 |
7 | Jasmine Butler | Drew | 8.1104 |
8 | Sydney Sheppard | Catholic | 7.4845 |
9 | Mackenzie Coley | Juniata | 7.4488 |
10 | Stephanie Margolies | Scranton | 7.4395 |
Rk. | Name | Team | DWPA |
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1 | Maddie Forry | Scranton | 17.9137 |
2 | Lauren Gaza | Drew | 15.6959 |
3 | Kambrie Hepler | Elizabethtown | 14.6211 |
4 | Kiona Rousset-Hernandez | Juniata | 13.5519 |
5 | Gabby Mancini | Moravian | 12.9232 |
6 | Carah Vitkus | Scranton | 11.7672 |
7 | Nicole Kovach | Goucher | 11.6633 |
8 | Bryanna Miller | Elizabethtown | 9.0007 |
9 | Natalia Matos | Moravian | 8.4238 |
10 | Andrea Camacho-Tenreiro | Drew | 8.3342 |
Rk. | Name | Team | WPA/S |
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1 | Rosina Esposito | Susquehanna | 0.1982 |
2 | Olivia Foley | Juniata | 0.1919 |
3 | Andrea Camacho-Tenreiro | Drew | 0.1907 |
4 | Lauren Gaza | Drew | 0.1875 |
5 | Caileigh Cox | Scranton | 0.1822 |
6 | Kambrie Hepler | Elizabethtown | 0.1692 |
7 | Jasmine Butler | Drew | 0.1665 |
8 | Natalia Matos | Moravian | 0.1658 |
9 | Bryanna Miller | Elizabethtown | 0.1611 |
10 | Carah Vitkus | Scranton | 0.1583 |
Rk. | Name | Team | OWPA/S |
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1 | Olivia Foley | Juniata | 0.1198 |
2 | Caileigh Cox | Scranton | 0.1148 |
3 | Rosina Esposito | Susquehanna | 0.1096 |
4 | Jasmine Butler | Drew | 0.0966 |
5 | Keira Roach | Susquehanna | 0.0922 |
6 | Lily Podolan | Juniata | 0.0893 |
7 | Sydney Sheppard | Catholic | 0.0891 |
8 | Andrea Camacho-Tenreiro | Drew | 0.0891 |
9 | Natalia Matos | Moravian | 0.0816 |
10 | Katie Scaggs | Elizabethtown | 0.0766 |
Rk. | Name | Team | DWPA/S |
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1 | Lauren Gaza | Drew | 0.1804 |
2 | Kambrie Hepler | Elizabethtown | 0.1492 |
3 | Maddie Forry | Scranton | 0.1445 |
4 | Nicole Kovach | Goucher | 0.1405 |
5 | Gabby Mancini | Moravian | 0.1375 |
6 | Kiona Rousset-Hernandez | Juniata | 0.1329 |
7 | Carah Vitkus | Scranton | 0.1032 |
8 | Andrea Camacho-Tenreiro | Drew | 0.1016 |
9 | Bryanna Miller | Elizabethtown | 0.0947 |
10 | Rosina Esposito | Susquehanna | 0.0886 |
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.