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 | Loyola Chicago | 1,509.1738 | 1,514.3189 | 1,511.7441 | 51.54 | 54.03 | 0.077 |
2nd | Dayton | 1,464.9608 | 1,471.9785 | 1,468.4655 | 50.61 | 52.08 | 0.038 |
3rd | Davidson | 1,461.9672 | 1,465.8860 | 1,463.9253 | 50.35 | 52.21 | 0.017 |
4th | Saint Louis | 1,420.4084 | 1,426.2032 | 1,423.3028 | 49.81 | 48.43 | -0.028 |
5th | VCU | 1,388.7764 | 1,396.8077 | 1,392.7863 | 47.31 | 47.75 | -0.039 |
6th | George Washington | 1,383.8345 | 1,383.0468 | 1,383.4406 | 46.86 | 46.97 | -0.050 |
7th | Fordham | 1,378.8164 | 1,384.6211 | 1,381.7157 | 47.35 | 49.23 | -0.060 |
8th | Duquesne | 1,337.8024 | 1,340.5468 | 1,339.1739 | 45.85 | 45.50 | -0.109 |
9th | George Mason | 1,316.8927 | 1,323.4785 | 1,320.1815 | 45.35 | 43.17 | -0.100 |
10th | Rhode Island | 1,300.3377 | 1,309.7400 | 1,305.0304 | 41.65 | 47.24 | -0.131 |
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 | Loyola Chicago | 0.2563 | 41.15 | 15.53 | 37.84 | 42.61 | 5.74 | 7.41 |
2nd | Dayton | 0.2310 | 37.99 | 14.89 | 34.53 | 47.49 | 6.06 | 8.33 |
3rd | Davidson | 0.2038 | 35.42 | 15.04 | 33.05 | 50.26 | 6.31 | 5.93 |
4th | Saint Louis | 0.1881 | 35.56 | 16.75 | 33.27 | 48.72 | 5.91 | 8.33 |
5th | Fordham | 0.1836 | 32.66 | 14.30 | 30.33 | 53.82 | 6.61 | 6.07 |
6th | George Washington | 0.1790 | 34.20 | 16.29 | 31.86 | 51.51 | 6.31 | 5.70 |
7th | VCU | 0.1667 | 32.39 | 15.72 | 30.08 | 53.31 | 5.38 | 5.54 |
8th | George Mason | 0.1599 | 34.80 | 18.81 | 32.90 | 48.49 | 8.17 | 5.22 |
9th | Duquesne | 0.1484 | 31.63 | 16.80 | 29.80 | 52.27 | 6.72 | 6.58 |
10th | Rhode Island | 0.1275 | 31.22 | 18.47 | 28.83 | 53.01 | 7.00 | 7.34 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | Loyola Chicago | 0.1788 | 33.31 | 15.43 | 31.10 | 52.77 | 6.52 | 6.04 |
2nd | Davidson | 0.1872 | 35.04 | 16.33 | 32.87 | 50.36 | 6.91 | 6.19 |
3rd | Dayton | 0.1931 | 35.92 | 16.60 | 33.48 | 48.07 | 7.08 | 6.75 |
4th | VCU | 0.2060 | 34.70 | 14.10 | 31.96 | 51.36 | 5.69 | 6.27 |
5th | Saint Louis | 0.2157 | 36.65 | 15.07 | 33.92 | 48.14 | 5.25 | 7.41 |
6th | George Washington | 0.2289 | 38.07 | 15.18 | 35.20 | 46.29 | 6.48 | 7.38 |
7th | Fordham | 0.2441 | 37.53 | 13.12 | 35.16 | 47.42 | 5.19 | 6.87 |
8th | Duquesne | 0.2573 | 39.95 | 14.22 | 36.32 | 45.51 | 5.77 | 7.79 |
9th | Rhode Island | 0.2583 | 40.36 | 14.53 | 36.79 | 43.31 | 4.85 | 10.30 |
10th | George Mason | 0.2596 | 39.98 | 14.02 | 36.09 | 45.70 | 5.28 | 10.23 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,398.9766 | 1,396.6239 | 1,397.3908 | 1,395.3113 | 1,397.0757 |
Difference | -2.3527 | -1.5859 | -3.6653 | -2.5346 |
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 |
Loyola Chicago | 129 | 2,951 | 1,532 | 222 | 258 | 51.92 | 13.3 | 11.4 | 2,637 | 1,237 | 165 | 266 | 53.09 | 16.0 | 9.9 |
Davidson | 121 | 2,641 | 1,371 | 173 | 187 | 51.91 | 15.3 | 14.1 | 2,461 | 1,172 | 164 | 220 | 52.38 | 15.0 | 11.2 |
Saint Louis | 123 | 2,602 | 1,376 | 250 | 243 | 52.88 | 10.4 | 10.7 | 2,496 | 1,259 | 187 | 204 | 49.56 | 13.3 | 12.2 |
Dayton | 130 | 2,895 | 1,470 | 242 | 314 | 50.78 | 12.0 | 9.2 | 2,777 | 1,358 | 191 | 223 | 51.10 | 14.5 | 12.5 |
Fordham | 108 | 2,341 | 1,187 | 163 | 187 | 50.71 | 14.4 | 12.5 | 2,359 | 1,166 | 160 | 196 | 50.57 | 14.7 | 12.0 |
George Washington | 129 | 2,664 | 1,331 | 185 | 236 | 49.96 | 14.4 | 11.3 | 2,719 | 1,413 | 210 | 244 | 48.03 | 12.9 | 11.1 |
VCU | 127 | 2,689 | 1,305 | 165 | 200 | 48.53 | 16.3 | 13.4 | 2,821 | 1,473 | 187 | 232 | 47.78 | 15.1 | 12.2 |
Duquesne | 110 | 2,293 | 1,123 | 167 | 174 | 48.98 | 13.7 | 13.2 | 2,493 | 1,314 | 190 | 174 | 47.29 | 13.1 | 14.3 |
George Mason | 107 | 2,186 | 1,069 | 132 | 190 | 48.90 | 16.6 | 11.5 | 2,387 | 1,320 | 237 | 222 | 44.70 | 10.1 | 10.8 |
Rhode Island | 112 | 2,166 | 948 | 169 | 199 | 43.77 | 12.8 | 10.9 | 2,578 | 1,355 | 263 | 250 | 47.44 | 9.8 | 10.3 |
Conference Average | 120 | 2,543 | 1,271 | 187 | 219 | 49.83 | 13.9 | 11.8 | 2,573 | 1,307 | 195 | 223 | 49.19 | 13.5 | 11.7 |
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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 |
71.78 |
2022-10-08 |
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GAME |
69.56 |
2022-11-13 |
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GAME |
68.53 |
2022-10-15 |
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GAME |
68.51 |
2022-09-30 |
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GAME |
68.33 |
2022-11-04 |
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GAME |
68.32 |
2022-10-25 |
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GAME |
68.24 |
2022-10-04 |
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GAME |
68.18 |
2022-10-21 |
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GAME |
68.12 |
2022-10-28 |
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GAME |
68.00 |
2022-11-20 | Saint Louis, MO |
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Name | Team | Role |
---|---|---|
Lexie Almodovar | Dayton | A |
Karlie McNabb | Loyola Chicago | A |
Whitley Moody | Fordham | A |
Amelia Moore | Dayton | A |
Taylor Venuto | Loyola Chicago | A |
Qairo Bentley | VCU | D |
Bella Brady | Davidson | D |
Bree Borum | Loyola Chicago | S |
Name | Team | Role |
---|---|---|
Emily Banitt | Loyola Chicago | A |
Audrey Brown | Fordham | A |
Jillian Mattingly | Saint Louis | A |
Elizabeth Osborn | Duquesne | A |
Liv Womble | George Washington | A |
Mallory Lipski | Fordham | D |
Hailey Poling | Duquesne | S |
Livie Sandt | Dayton | S |
Rank | Name | Team |
---|---|---|
1 | Bree Borum | Loyola Chicago |
2 | Qairo Bentley | VCU |
3 | Lexie Almodovar | Dayton |
4 | Whitley Moody | Fordham |
5 | Livie Sandt | Dayton |
Rank | Name | Team |
---|---|---|
1 | Lexie Almodovar | Dayton |
2 | Whitley Moody | Fordham |
3 | Karlie McNabb | Loyola Chicago |
4 | Taylor Venuto | Loyola Chicago |
5 | Amelia Moore | Dayton |
Rank | Name | Team |
---|---|---|
1 | Bree Borum | Loyola Chicago |
2 | Livie Sandt | Dayton |
3 | Hailey Poling | Duquesne |
4 | Megan Brzozowski | Fordham |
5 | Katie Butler | Rhode Island |
Rank | Name | Team |
---|---|---|
1 | Bella Brady | Davidson |
2 | Mallory Lipski | Fordham |
3 | Carlie Rodgers | Saint Louis |
4 | Grace Hinchman | Loyola Chicago |
5 | Bella Bowman | George Washington |
Rk. | Name | Team | WPA |
---|---|---|---|
1 | Bree Borum | Loyola Chicago | 27.0544 |
2 | Qairo Bentley | VCU | 26.3768 |
3 | Bella Brady | Davidson | 21.6920 |
4 | Lexie Almodovar | Dayton | 21.1767 |
5 | Hailey Poling | Duquesne | 21.0087 |
6 | Whitley Moody | Fordham | 20.7201 |
7 | Carlie Rodgers | Saint Louis | 20.3089 |
8 | Isabel Decker | Davidson | 19.5231 |
9 | Mallory Lipski | Fordham | 19.5077 |
10 | Megan Brzozowski | Fordham | 17.9993 |
Rk. | Name | Team | OWPA |
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1 | Bree Borum | Loyola Chicago | 16.1166 |
2 | Lexie Almodovar | Dayton | 12.7548 |
3 | Hailey Poling | Duquesne | 11.2254 |
4 | Qairo Bentley | VCU | 10.7326 |
5 | Liv Womble | George Washington | 10.5307 |
6 | Jillian Mattingly | Saint Louis | 10.0316 |
7 | Whitley Moody | Fordham | 9.9217 |
8 | Jasmine Knight | VCU | 9.9137 |
9 | Karlie McNabb | Loyola Chicago | 9.5197 |
10 | Audrey Brown | Fordham | 9.4162 |
Rk. | Name | Team | DWPA |
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1 | Bella Brady | Davidson | 18.6544 |
2 | Carlie Rodgers | Saint Louis | 18.2483 |
3 | Mallory Lipski | Fordham | 17.5377 |
4 | Crew Hoffmeier | VCU | 16.5296 |
5 | Grace Hinchman | Loyola Chicago | 15.9556 |
6 | Qairo Bentley | VCU | 15.6442 |
7 | Bella Bowman | George Washington | 15.4643 |
8 | Anna Wuensch | Dayton | 12.3572 |
9 | Stephanie Der | George Mason | 12.1545 |
10 | Madison Grimm | Duquesne | 11.7878 |
Rk. | Name | Team | WPA/S |
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1 | Bree Borum | Loyola Chicago | 0.2097 |
2 | Qairo Bentley | VCU | 0.2077 |
3 | Lexie Almodovar | Dayton | 0.2017 |
4 | Hailey Poling | Duquesne | 0.1927 |
5 | Whitley Moody | Fordham | 0.1919 |
6 | Bella Brady | Davidson | 0.1870 |
7 | Livie Sandt | Dayton | 0.1864 |
8 | Mallory Lipski | Fordham | 0.1806 |
9 | Karlie McNabb | Loyola Chicago | 0.1755 |
10 | Carlie Rodgers | Saint Louis | 0.1736 |
Rk. | Name | Team | OWPA/S |
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1 | Bree Borum | Loyola Chicago | 0.1249 |
2 | Lexie Almodovar | Dayton | 0.1215 |
3 | Livie Sandt | Dayton | 0.1066 |
4 | Hailey Poling | Duquesne | 0.1030 |
5 | Karlie McNabb | Loyola Chicago | 0.0981 |
6 | Katie Butler | Rhode Island | 0.0945 |
7 | Whitley Moody | Fordham | 0.0919 |
8 | Jillian Mattingly | Saint Louis | 0.0896 |
9 | Liv Womble | George Washington | 0.0892 |
10 | Audrey Brown | Fordham | 0.0872 |
Rk. | Name | Team | DWPA/S |
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1 | Mallory Lipski | Fordham | 0.1624 |
2 | Bella Brady | Davidson | 0.1608 |
3 | Carlie Rodgers | Saint Louis | 0.1560 |
4 | Bella Bowman | George Washington | 0.1381 |
5 | Crew Hoffmeier | VCU | 0.1302 |
6 | Stephanie Der | George Mason | 0.1266 |
7 | Grace Hinchman | Loyola Chicago | 0.1237 |
8 | Qairo Bentley | VCU | 0.1232 |
9 | Madison Grimm | Duquesne | 0.1133 |
10 | Anna Wuensch | Dayton | 0.1113 |
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.