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 | Dayton | 1,491.9146 | 1,496.7046 | 1,494.3077 | 54.03 | 54.30 | 0.081 |
2nd | VCU | 1,434.5439 | 1,442.3259 | 1,438.4296 | 49.84 | 53.57 | 0.037 |
3rd | Saint Louis | 1,402.2878 | 1,411.1532 | 1,406.7135 | 48.43 | 52.87 | -0.003 |
4th | Davidson | 1,373.3190 | 1,377.0707 | 1,375.1936 | 48.89 | 50.10 | -0.042 |
5th | Rhode Island | 1,338.6332 | 1,338.9066 | 1,338.7699 | 42.13 | 49.71 | -0.085 |
6th | Fordham | 1,336.4959 | 1,339.6702 | 1,338.0821 | 46.93 | 47.40 | -0.069 |
7th | Duquesne | 1,338.0639 | 1,336.2233 | 1,337.1433 | 47.56 | 46.86 | -0.076 |
8th | George Mason | 1,281.5745 | 1,287.9155 | 1,284.7411 | 44.34 | 44.87 | -0.144 |
9th | George Washington | 1,239.8260 | 1,241.7759 | 1,240.8006 | 46.89 | 39.95 | -0.182 |
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 | Dayton | 0.2363 | 38.83 | 15.21 | 34.88 | 47.32 | 5.51 | 8.04 |
2nd | VCU | 0.2326 | 37.79 | 14.53 | 34.70 | 49.03 | 5.54 | 5.25 |
3rd | Saint Louis | 0.2054 | 36.98 | 16.45 | 34.37 | 49.88 | 6.15 | 7.19 |
4th | Davidson | 0.1798 | 32.54 | 14.56 | 30.09 | 54.92 | 6.08 | 5.69 |
5th | Fordham | 0.1729 | 32.68 | 15.39 | 29.80 | 53.32 | 6.59 | 5.22 |
6th | Duquesne | 0.1663 | 33.58 | 16.94 | 31.49 | 50.22 | 7.80 | 5.72 |
7th | Rhode Island | 0.1617 | 31.54 | 15.38 | 29.42 | 53.56 | 5.99 | 5.40 |
8th | George Mason | 0.1527 | 32.17 | 16.90 | 29.11 | 53.08 | 7.01 | 6.00 |
9th | George Washington | 0.0968 | 27.56 | 17.88 | 24.50 | 59.21 | 6.58 | 6.13 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | Dayton | 0.1553 | 32.64 | 17.11 | 29.81 | 51.37 | 7.47 | 3.71 |
2nd | VCU | 0.1959 | 34.25 | 14.66 | 31.33 | 51.52 | 5.67 | 5.11 |
3rd | Saint Louis | 0.2080 | 35.22 | 14.42 | 32.74 | 51.07 | 5.84 | 6.69 |
4th | Davidson | 0.2214 | 36.40 | 14.26 | 32.94 | 50.00 | 5.51 | 6.74 |
5th | Duquesne | 0.2419 | 38.16 | 13.97 | 34.62 | 47.87 | 4.97 | 8.52 |
6th | Fordham | 0.2420 | 37.60 | 13.40 | 34.86 | 47.57 | 5.37 | 7.65 |
7th | Rhode Island | 0.2468 | 37.88 | 13.19 | 35.41 | 48.22 | 4.17 | 6.46 |
8th | George Washington | 0.2786 | 42.35 | 14.49 | 38.38 | 42.27 | 4.86 | 10.03 |
9th | George Mason | 0.2971 | 42.21 | 12.51 | 38.88 | 44.81 | 4.58 | 7.54 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,361.5757 | 1,359.8676 | 1,359.1805 | 1,350.6819 | 1,357.8264 |
Difference | -1.7081 | -2.3952 | -10.8938 | -4.9991 |
Offense | Defense | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Team | Sets | S | SP | SA | SE | SP% | S/SA | S/SE | OS | SPA | SAA | SEA | SO% | OS/SAA | OS/SEA |
Dayton | 115 | 2,353 | 1,274 | 216 | 278 | 54.14 | 10.9 | 8.5 | 2,038 | 958 | 92 | 189 | 52.99 | 22.2 | 10.8 |
Saint Louis | 115 | 2,008 | 1,009 | 201 | 242 | 50.25 | 10.0 | 8.3 | 1,900 | 893 | 153 | 159 | 53.00 | 12.4 | 11.9 |
VCU | 109 | 2,378 | 1,195 | 131 | 189 | 50.25 | 18.2 | 12.6 | 2,266 | 1,081 | 126 | 194 | 52.30 | 18.0 | 11.7 |
Davidson | 101 | 1,784 | 932 | 131 | 157 | 52.24 | 13.6 | 11.4 | 1,750 | 872 | 140 | 148 | 50.17 | 12.5 | 11.8 |
Duquesne | 114 | 2,023 | 1,018 | 150 | 194 | 50.32 | 13.5 | 10.4 | 2,124 | 1,104 | 224 | 212 | 48.02 | 9.5 | 10.0 |
Rhode Island | 116 | 1,544 | 719 | 162 | 197 | 46.57 | 9.5 | 7.8 | 1,638 | 796 | 146 | 237 | 51.40 | 11.2 | 6.9 |
Fordham | 112 | 2,100 | 1,032 | 135 | 143 | 49.14 | 15.6 | 14.7 | 2,207 | 1,139 | 192 | 198 | 48.39 | 11.5 | 11.1 |
George Mason | 99 | 1,594 | 743 | 138 | 176 | 46.61 | 11.6 | 9.1 | 1,827 | 1,009 | 166 | 215 | 44.77 | 11.0 | 8.5 |
George Washington | 92 | 1,516 | 742 | 121 | 145 | 48.95 | 12.5 | 10.5 | 1,905 | 1,140 | 208 | 182 | 40.16 | 9.2 | 10.5 |
Conference Average | 108 | 1,922 | 963 | 154 | 191 | 49.83 | 12.8 | 10.4 | 1,962 | 999 | 161 | 193 | 49.02 | 13.0 | 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 |
74.78 |
2021-10-08 |
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GAME |
69.46 |
2021-10-22 |
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GAME |
69.19 |
2021-11-20 |
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GAME |
68.99 |
2021-10-29 |
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GAME |
67.23 |
2021-11-12 |
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GAME |
67.07 |
2021-11-05 |
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GAME |
66.34 |
2021-10-10 |
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GAME |
66.18 |
2021-09-26 |
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GAME |
65.64 |
2021-10-16 |
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GAME |
65.57 |
2021-10-10 |
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Name | Team | Role |
---|---|---|
Lexie Almodovar | Dayton | A |
Qairo Bentley | VCU | A |
Jasmine Knight | VCU | A |
Jillian Mattingly | Saint Louis | A |
Jamie Peterson | Dayton | A |
Bella Brady | Davidson | D |
Katrina Davis | VCU | S |
Hailey Poling | Duquesne | S |
Name | Team | Role |
---|---|---|
Morgan Kelly | Duquesne | A |
Whitley Moody | Fordham | A |
Amelia Moore | Dayton | A |
Bella URENA | Fordham | A |
Alayna Yates | Dayton | A |
Mallory Lipski | Fordham | D |
Summer Slade | Duquesne | D |
Megan Brzozowski | Fordham | S |
Rank | Name | Team |
---|---|---|
1 | Jamie Peterson | Dayton |
2 | Katrina Davis | VCU |
3 | Qairo Bentley | VCU |
4 | Hailey Poling | Duquesne |
5 | Summer Slade | Duquesne |
Rank | Name | Team |
---|---|---|
1 | Jamie Peterson | Dayton |
2 | Qairo Bentley | VCU |
3 | Lexie Almodovar | Dayton |
4 | Whitley Moody | Fordham |
5 | Jasmine Knight | VCU |
Rank | Name | Team |
---|---|---|
1 | Katrina Davis | VCU |
2 | Hailey Poling | Duquesne |
3 | Megan Brzozowski | Fordham |
4 | Livie Sandt | Dayton |
5 | Erin Derick | George Mason |
Rank | Name | Team |
---|---|---|
1 | Bella Brady | Davidson |
2 | Mallory Lipski | Fordham |
3 | Alyna Draper | VCU |
4 | Camille Spencer | Duquesne |
5 | Maura Collins | Dayton |
Rk. | Name | Team | WPA |
---|---|---|---|
1 | Jamie Peterson | Dayton | 20.9360 |
2 | Hailey Poling | Duquesne | 19.9348 |
3 | Summer Slade | Duquesne | 18.9910 |
4 | Megan Brzozowski | Fordham | 16.8830 |
5 | Qairo Bentley | VCU | 16.8138 |
6 | Lexie Almodovar | Dayton | 16.1699 |
7 | Mallory Lipski | Fordham | 16.0438 |
8 | Bella URENA | Fordham | 15.8264 |
9 | Whitley Moody | Fordham | 15.7896 |
10 | Bella Brady | Davidson | 15.7723 |
Rk. | Name | Team | OWPA |
---|---|---|---|
1 | Jamie Peterson | Dayton | 13.0968 |
2 | Hailey Poling | Duquesne | 12.1921 |
3 | Morgan Kelly | Duquesne | 10.9280 |
4 | Livie Sandt | Dayton | 10.3273 |
5 | Megan Brzozowski | Fordham | 9.3277 |
6 | Summer Slade | Duquesne | 9.3030 |
7 | Maya Taylor | Saint Louis | 9.1813 |
8 | Lexie Almodovar | Dayton | 8.6861 |
9 | Qairo Bentley | VCU | 8.6199 |
10 | Jasmine Knight | VCU | 8.5708 |
Rk. | Name | Team | DWPA |
---|---|---|---|
1 | Mallory Lipski | Fordham | 14.6415 |
2 | Bella Brady | Davidson | 14.0569 |
3 | Camille Spencer | Duquesne | 12.5323 |
4 | Carlie Rodgers | Saint Louis | 12.3518 |
5 | Alyna Draper | VCU | 11.1191 |
6 | Maura Collins | Dayton | 11.0042 |
7 | Bella Bowman | George Washington | 10.7054 |
8 | Ella Ratzloff | Rhode Island | 10.1532 |
9 | Summer Slade | Duquesne | 9.6880 |
10 | Bella URENA | Fordham | 8.2216 |
Rk. | Name | Team | WPA/S |
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1 | Jamie Peterson | Dayton | 0.2158 |
2 | Katrina Davis | VCU | 0.2121 |
3 | Hailey Poling | Duquesne | 0.2121 |
4 | Summer Slade | Duquesne | 0.1999 |
5 | Bella Brady | Davidson | 0.1996 |
6 | Qairo Bentley | VCU | 0.1828 |
7 | Morgan Kelly | Duquesne | 0.1792 |
8 | Megan Brzozowski | Fordham | 0.1741 |
9 | Lexie Almodovar | Dayton | 0.1667 |
10 | Maya Taylor | Saint Louis | 0.1653 |
Rk. | Name | Team | OWPA/S |
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1 | Jamie Peterson | Dayton | 0.1350 |
2 | Hailey Poling | Duquesne | 0.1297 |
3 | Katrina Davis | VCU | 0.1297 |
4 | Morgan Kelly | Duquesne | 0.1256 |
5 | Jovana Vukcevic | VCU | 0.1120 |
6 | Livie Sandt | Dayton | 0.1065 |
7 | Hattie Rodriguez | Davidson | 0.1052 |
8 | Maya Taylor | Saint Louis | 0.1009 |
9 | Summer Slade | Duquesne | 0.0979 |
10 | Megan Brzozowski | Fordham | 0.0962 |
Rk. | Name | Team | DWPA/S |
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1 | Bella Brady | Davidson | 0.1779 |
2 | Mallory Lipski | Fordham | 0.1479 |
3 | Ella Ratzloff | Rhode Island | 0.1372 |
4 | Carlie Rodgers | Saint Louis | 0.1357 |
5 | Bella Bowman | George Washington | 0.1355 |
6 | Camille Spencer | Duquesne | 0.1319 |
7 | Alyna Draper | VCU | 0.1222 |
8 | Maura Collins | Dayton | 0.1090 |
9 | Summer Slade | Duquesne | 0.1020 |
10 | Marlanna Bozicevich | George Mason | 0.0953 |
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.