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 | American | 1,654.9493 | 1,645.6547 | 1,650.2955 | 45.45 | 62.37 | 0.085 |
2nd | Navy | 1,625.5071 | 1,618.3532 | 1,621.9262 | 45.21 | 59.25 | 0.048 |
3rd | Army West Point | 1,590.7436 | 1,582.8391 | 1,586.7864 | 42.56 | 59.04 | 0.019 |
4th | Colgate | 1,587.8059 | 1,556.8111 | 1,572.2321 | 43.10 | 57.96 | 0.012 |
5th | Lehigh | 1,560.1800 | 1,539.6851 | 1,549.8987 | 40.43 | 57.27 | -0.020 |
6th | Bucknell | 1,478.2164 | 1,470.1025 | 1,474.1539 | 37.45 | 52.05 | -0.100 |
7th | Holy Cross | 1,461.0738 | 1,454.2162 | 1,457.6410 | 37.42 | 49.39 | -0.125 |
8th | Loyola Maryland | 1,459.7194 | 1,452.9349 | 1,456.3232 | 34.53 | 52.44 | -0.118 |
9th | Lafayette | 1,369.2444 | 1,381.8394 | 1,375.5275 | 34.16 | 44.87 | -0.216 |
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 | American | 0.2729 | 40.02 | 12.74 | 37.48 | 46.39 | 5.50 | 5.71 |
2nd | Army West Point | 0.2384 | 38.74 | 14.90 | 35.74 | 46.35 | 5.18 | 4.98 |
3rd | Navy | 0.2339 | 35.96 | 12.57 | 33.86 | 50.08 | 4.87 | 5.81 |
4th | Colgate | 0.2074 | 36.24 | 15.50 | 34.00 | 49.15 | 5.82 | 5.38 |
5th | Lehigh | 0.1930 | 35.90 | 16.60 | 33.21 | 50.36 | 5.69 | 4.82 |
6th | Bucknell | 0.1509 | 31.99 | 16.90 | 29.56 | 52.95 | 6.31 | 5.28 |
7th | Loyola Maryland | 0.1471 | 32.11 | 17.39 | 29.85 | 52.41 | 5.87 | 4.10 |
8th | Holy Cross | 0.1196 | 28.53 | 16.56 | 26.28 | 56.06 | 5.81 | 5.40 |
9th | Lafayette | 0.0847 | 26.65 | 18.17 | 25.29 | 59.43 | 6.93 | 6.28 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | Navy | 0.1863 | 33.87 | 15.24 | 31.50 | 50.93 | 5.82 | 5.28 |
2nd | American | 0.1874 | 34.93 | 16.19 | 33.08 | 49.59 | 6.75 | 5.40 |
3rd | Colgate | 0.1955 | 34.73 | 15.18 | 32.53 | 51.05 | 5.68 | 5.69 |
4th | Lehigh | 0.2126 | 36.84 | 15.58 | 34.63 | 47.81 | 5.88 | 5.11 |
5th | Army West Point | 0.2193 | 35.11 | 13.18 | 32.68 | 51.05 | 4.92 | 6.12 |
6th | Holy Cross | 0.2451 | 37.82 | 13.31 | 34.38 | 48.99 | 3.90 | 6.66 |
7th | Bucknell | 0.2511 | 40.05 | 14.95 | 36.72 | 44.25 | 6.59 | 6.04 |
8th | Loyola Maryland | 0.2652 | 40.49 | 13.97 | 37.68 | 45.26 | 5.34 | 7.21 |
9th | Lafayette | 0.3011 | 43.47 | 13.36 | 40.34 | 43.57 | 3.64 | 9.66 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,527.1983 | 1,531.2802 | 1,528.1424 | 1,532.0949 | 1,529.6789 |
Difference | 4.0819 | 0.9441 | 4.8966 | 3.3076 |
Offense | Defense | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Team | Sets | S | SP | SA | SE | SP% | S/SA | S/SE | OS | SPA | SAA | SEA | SO% | OS/SAA | OS/SEA |
American | 122 | 2,823 | 1,343 | 173 | 205 | 47.57 | 16.3 | 13.8 | 2,429 | 913 | 123 | 218 | 62.41 | 19.7 | 11.1 |
Navy | 114 | 2,605 | 1,240 | 162 | 194 | 47.60 | 16.1 | 13.4 | 2,329 | 923 | 120 | 184 | 60.37 | 19.4 | 12.7 |
Army West Point | 108 | 2,421 | 1,107 | 142 | 234 | 45.73 | 17.0 | 10.3 | 2,100 | 842 | 133 | 179 | 59.91 | 15.8 | 11.7 |
Colgate | 105 | 2,393 | 1,101 | 140 | 186 | 46.01 | 17.1 | 12.9 | 2,202 | 903 | 119 | 178 | 58.99 | 18.5 | 12.4 |
Lehigh | 111 | 2,478 | 1,099 | 134 | 233 | 44.35 | 18.5 | 10.6 | 2,360 | 968 | 116 | 203 | 58.98 | 20.3 | 11.6 |
Bucknell | 106 | 2,280 | 973 | 143 | 166 | 42.68 | 15.9 | 13.7 | 2,402 | 1,088 | 139 | 228 | 54.70 | 17.3 | 10.5 |
Loyola Maryland | 105 | 2,201 | 871 | 107 | 216 | 39.57 | 20.6 | 10.2 | 2,400 | 1,077 | 165 | 229 | 55.13 | 14.5 | 10.5 |
Holy Cross | 102 | 2,126 | 891 | 139 | 209 | 41.91 | 15.3 | 10.2 | 2,353 | 1,141 | 152 | 202 | 51.51 | 15.5 | 11.6 |
Lafayette | 97 | 1,881 | 744 | 130 | 193 | 39.55 | 14.5 | 9.7 | 2,309 | 1,198 | 213 | 218 | 48.12 | 10.8 | 10.6 |
Conference Average | 108 | 2,356 | 1,041 | 141 | 204 | 43.89 | 16.8 | 11.7 | 2,320 | 1,006 | 142 | 204 | 56.68 | 16.9 | 11.4 |
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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 |
82.61 |
2017-09-26 | Annapolis, Md. |
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GAME |
78.62 |
2017-10-14 | West Point, N.Y. |
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GAME |
76.24 |
2017-10-20 | Washington, DC |
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GAME |
75.21 |
2017-10-13 | Bethlehem, Pa. |
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GAME |
74.58 |
2017-10-28 | Annapolis, Md. |
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GAME |
74.19 |
2017-11-12 | Annapolis, Md. |
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GAME |
74.17 |
2017-10-14 | Hamilton, N.Y. |
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GAME |
74.09 |
2017-11-07 | Bethlehem, Pa. |
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GAME |
73.24 |
2017-11-05 | Hamilton, N.Y. |
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GAME |
73.16 |
2017-10-13 | Lewisburg, Pa. |
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Name | Team | Role |
---|---|---|
Aleksandra Kazala | American | A |
Vela McBride | American | A |
Katie Patrick | Navy | A |
Maddi Sgattoni | Navy | A |
Kristen Largay | American | D |
Kennedy Etheridge | American | S |
Patricia Mattingly | Navy | S |
Name | Team | Role |
---|---|---|
Tara Dotzauer | Navy | A |
Helena Elbaek | American | A |
Cheyenne Orsi | American | A |
Ana Spangenberg | Lehigh | A |
Sydney Shearn | Navy | D |
Megan Polak | Lehigh | S |
Lauren Sanderson | Colgate | S |
Rank | Name | Team |
---|---|---|
1 | Aleksandra Kazala | American |
2 | Kennedy Etheridge | American |
3 | Patricia Mattingly | Navy |
4 | Maddi Sgattoni | Navy |
5 | Ana Spangenberg | Lehigh |
Rank | Name | Team |
---|---|---|
1 | Aleksandra Kazala | American |
2 | Maddi Sgattoni | Navy |
3 | Ana Spangenberg | Lehigh |
4 | Tara Dotzauer | Navy |
5 | Carolyn Bockrath | Army West Point |
Rank | Name | Team |
---|---|---|
1 | Kennedy Etheridge | American |
2 | Patricia Mattingly | Navy |
3 | Megan Polak | Lehigh |
4 | Lauren Sanderson | Colgate |
5 | Olivia Wassner | American |
Rank | Name | Team |
---|---|---|
1 | Kristen Largay | American |
2 | Sydney Shearn | Navy |
3 | Sophie VanSeveren | Holy Cross |
4 | Emily Develle | Lehigh |
5 | Bridget Kolsky | Colgate |
Rk. | Name | Team | WPA |
---|---|---|---|
1 | Aleksandra Kazala | American | 31.0417 |
2 | Patricia Mattingly | Navy | 21.0177 |
3 | Ana Spangenberg | Lehigh | 20.4527 |
4 | Megan Polak | Lehigh | 20.0482 |
5 | Maddi Sgattoni | Navy | 19.5585 |
6 | Kennedy Etheridge | American | 19.4791 |
7 | Lauren Sanderson | Colgate | 18.2109 |
8 | Katie Stansbury | Colgate | 17.9525 |
9 | Sophie VanSeveren | Holy Cross | 16.2847 |
10 | Kristen Largay | American | 16.2489 |
Rk. | Name | Team | OWPA |
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1 | Aleksandra Kazala | American | 18.9617 |
2 | Megan Polak | Lehigh | 13.2675 |
3 | Patricia Mattingly | Navy | 12.9271 |
4 | Tara Dotzauer | Navy | 12.6223 |
5 | Ana Spangenberg | Lehigh | 12.2331 |
6 | Kennedy Etheridge | American | 12.0725 |
7 | Carolyn Bockrath | Army West Point | 11.7372 |
8 | Lauren Sanderson | Colgate | 11.4882 |
9 | Maddi Sgattoni | Navy | 11.2160 |
10 | Alli Lowe | Colgate | 10.3377 |
Rk. | Name | Team | DWPA |
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1 | Sophie VanSeveren | Holy Cross | 17.5730 |
2 | Kristen Largay | American | 16.5638 |
3 | Emily Develle | Lehigh | 14.6447 |
4 | Brooke Stark | Bucknell | 13.3279 |
5 | Sydney Shearn | Navy | 12.9085 |
6 | Aleksandra Kazala | American | 12.0800 |
7 | Bridget Kolsky | Colgate | 11.1503 |
8 | Katie Stansbury | Colgate | 10.4240 |
9 | Sophie Bullard | Bucknell | 9.9487 |
10 | Peighton McRobie | Colgate | 9.8446 |
Rk. | Name | Team | WPA/S |
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1 | Aleksandra Kazala | American | 0.2723 |
2 | Ana Spangenberg | Lehigh | 0.1876 |
3 | Patricia Mattingly | Navy | 0.1860 |
4 | Megan Polak | Lehigh | 0.1856 |
5 | Maddi Sgattoni | Navy | 0.1762 |
6 | Kennedy Etheridge | American | 0.1755 |
7 | Lauren Sanderson | Colgate | 0.1734 |
8 | Katie Stansbury | Colgate | 0.1710 |
9 | Sophie VanSeveren | Holy Cross | 0.1696 |
10 | Carolyn Bockrath | Army West Point | 0.1609 |
Rk. | Name | Team | OWPA/S |
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1 | Aleksandra Kazala | American | 0.1663 |
2 | Carolyn Bockrath | Army West Point | 0.1249 |
3 | Megan Polak | Lehigh | 0.1228 |
4 | Tara Dotzauer | Navy | 0.1202 |
5 | Patricia Mattingly | Navy | 0.1144 |
6 | Ana Spangenberg | Lehigh | 0.1122 |
7 | Lauren Sanderson | Colgate | 0.1094 |
8 | Kennedy Etheridge | American | 0.1088 |
9 | Maddi Sgattoni | Navy | 0.1010 |
10 | Alli Lowe | Colgate | 0.0985 |
Rk. | Name | Team | DWPA/S |
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1 | Sophie VanSeveren | Holy Cross | 0.1831 |
2 | Sydney Shearn | Navy | 0.1434 |
3 | Kristen Largay | American | 0.1369 |
4 | Emily Develle | Lehigh | 0.1319 |
5 | Brooke Stark | Bucknell | 0.1269 |
6 | Ana Oglivie | Army West Point | 0.1109 |
7 | Bridget Kolsky | Colgate | 0.1062 |
8 | Aleksandra Kazala | American | 0.1060 |
9 | Sophie Bullard | Bucknell | 0.1026 |
10 | Katie Stansbury | Colgate | 0.0993 |
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.