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 | New Mexico St. | 1,625.0232 | 1,594.6481 | 1,609.7640 | 51.18 | 53.48 | 0.107 |
2nd | Grand Canyon | 1,601.6881 | 1,571.4812 | 1,586.5127 | 48.36 | 57.99 | 0.045 |
3rd | California Baptist | 1,576.7820 | 1,544.3620 | 1,560.4878 | 48.78 | 55.59 | -0.023 |
4th | Utah Valley | 1,572.1600 | 1,542.7525 | 1,557.3868 | 49.55 | 53.47 | 0.037 |
5th | UTRGV | 1,555.2196 | 1,522.8900 | 1,538.9699 | 49.73 | 50.84 | 0.001 |
6th | CSU Bakersfield | 1,526.4225 | 1,492.9672 | 1,509.6022 | 44.87 | 53.29 | -0.045 |
7th | Seattle U | 1,520.2596 | 1,487.4202 | 1,503.7503 | 45.85 | 50.16 | -0.054 |
8th | Chicago St. | 1,478.8362 | 1,453.1264 | 1,465.9249 | 45.50 | 47.83 | -0.103 |
9th | UMKC | 1,430.1341 | 1,397.2001 | 1,413.5712 | 48.33 | 49.10 | 0.005 |
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 | New Mexico St. | 0.2659 | 40.60 | 14.01 | 37.26 | 43.86 | 4.98 | 6.24 |
2nd | Grand Canyon | 0.2564 | 36.92 | 11.28 | 34.06 | 47.58 | 4.75 | 5.97 |
3rd | Utah Valley | 0.2199 | 37.00 | 15.01 | 34.57 | 48.27 | 5.40 | 5.55 |
4th | UMKC | 0.2154 | 30.40 | 8.85 | 28.29 | 54.21 | 6.39 | 0.35 |
5th | UTRGV | 0.2111 | 35.91 | 14.80 | 33.70 | 49.03 | 6.04 | 8.35 |
6th | California Baptist | 0.2039 | 35.36 | 14.97 | 32.55 | 50.67 | 6.17 | 7.05 |
7th | CSU Bakersfield | 0.1770 | 33.84 | 16.15 | 31.54 | 49.52 | 6.68 | 6.54 |
8th | Seattle U | 0.1766 | 35.12 | 17.46 | 32.86 | 47.93 | 6.69 | 7.10 |
9th | Chicago St. | 0.1423 | 31.02 | 16.79 | 28.89 | 53.25 | 6.31 | 6.23 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | New Mexico St. | 0.1591 | 32.67 | 16.76 | 29.52 | 50.57 | 8.84 | 6.90 |
2nd | Utah Valley | 0.1834 | 35.25 | 16.91 | 32.52 | 47.97 | 7.28 | 7.57 |
3rd | UTRGV | 0.2098 | 35.89 | 14.91 | 33.32 | 48.00 | 6.42 | 7.39 |
4th | UMKC | 0.2109 | 35.69 | 14.60 | 33.21 | 0.51 | -0.17 | 5.52 |
5th | Grand Canyon | 0.2117 | 35.23 | 14.05 | 32.59 | 49.03 | 6.29 | 4.97 |
6th | CSU Bakersfield | 0.2221 | 36.67 | 14.45 | 33.84 | 49.85 | 6.03 | 6.85 |
7th | California Baptist | 0.2271 | 37.20 | 14.49 | 34.64 | 47.88 | 4.68 | 6.34 |
8th | Seattle U | 0.2310 | 37.91 | 14.81 | 34.76 | 46.71 | 6.42 | 6.74 |
9th | Chicago St. | 0.2458 | 37.18 | 12.60 | 34.54 | 48.58 | 4.29 | 5.98 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,527.3300 | 1,531.8050 | 1,534.0394 | 1,535.3196 | 1,532.1235 |
Difference | 4.4750 | 6.7094 | 7.9897 | 6.3913 |
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 |
California Baptist | 114 | 2,404 | 1,289 | 168 | 153 | 53.62 | 14.3 | 15.7 | 2,222 | 1,040 | 136 | 207 | 53.20 | 16.3 | 10.7 |
Grand Canyon | 109 | 2,524 | 1,275 | 145 | 212 | 50.52 | 17.4 | 11.9 | 2,292 | 1,023 | 105 | 260 | 55.37 | 21.8 | 8.8 |
New Mexico St. | 102 | 2,195 | 1,178 | 145 | 261 | 53.67 | 15.1 | 8.4 | 1,882 | 913 | 125 | 155 | 51.49 | 15.1 | 12.1 |
UTRGV | 117 | 2,296 | 1,224 | 179 | 239 | 53.31 | 12.8 | 9.6 | 2,341 | 1,208 | 170 | 207 | 48.40 | 13.8 | 11.3 |
Utah Valley | 110 | 2,213 | 1,104 | 117 | 189 | 49.89 | 18.9 | 11.7 | 2,176 | 1,117 | 169 | 188 | 48.67 | 12.9 | 11.6 |
CSU Bakersfield | 114 | 2,302 | 1,069 | 148 | 199 | 46.44 | 15.6 | 11.6 | 2,423 | 1,198 | 165 | 210 | 50.56 | 14.7 | 11.5 |
Seattle U | 120 | 2,429 | 1,177 | 166 | 209 | 48.46 | 14.6 | 11.6 | 2,579 | 1,347 | 155 | 195 | 47.77 | 16.6 | 13.2 |
Chicago St. | 119 | 2,158 | 1,036 | 151 | 195 | 48.01 | 14.3 | 11.1 | 2,421 | 1,300 | 137 | 211 | 46.30 | 17.7 | 11.5 |
UMKC | 107 | 1,932 | 960 | 0 | 0 | 49.69 | 0.0 | 0.0 | 2,235 | 1,323 | 138 | 171 | 40.81 | 16.2 | 13.1 |
Conference Average | 112 | 2,273 | 1,146 | 135 | 184 | 50.40 | 13.7 | 10.2 | 2,286 | 1,163 | 144 | 200 | 49.17 | 16.1 | 11.5 |
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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 |
78.05 |
2019-10-05 |
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GAME |
76.85 |
2019-10-28 |
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GAME |
74.93 |
2019-10-19 |
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GAME |
72.92 |
2019-10-17 |
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GAME |
72.71 |
2019-11-02 |
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GAME |
72.57 |
2019-11-07 |
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GAME |
72.15 |
2019-10-10 |
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GAME |
71.86 |
2019-10-05 |
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GAME |
71.69 |
2019-10-31 |
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GAME |
71.42 |
2019-11-11 |
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Name | Team | Role |
---|---|---|
Makaila Jarema | Utah Valley | A |
Cat Kelly | New Mexico St. | A |
Julianna Salanoa | New Mexico St. | A |
Barbara Silva | UTRGV | A |
Samaret Caraballo | UTRGV | D |
Megan Klavitter | Chicago St. | D |
Debora Nazario | UTRGV | S |
Rank | Name | Team |
---|---|---|
1 | Klaire Mitchell | Grand Canyon |
2 | Savannah Davison | New Mexico St. |
3 | Melody Horton | Grand Canyon |
4 | Kazna Tarawhiti | Utah Valley |
5 | Teagan DeFalco | Grand Canyon |
Rank | Name | Team |
---|---|---|
1 | Savannah Davison | New Mexico St. |
2 | Kazna Tarawhiti | Utah Valley |
3 | Barbara Silva | UTRGV |
4 | Kaira Moss | Grand Canyon |
5 | Megan Hart | New Mexico St. |
Rank | Name | Team |
---|---|---|
1 | Klaire Mitchell | Grand Canyon |
2 | Debora Nazario | UTRGV |
3 | Ezgi Ozkan | Seattle U |
4 | Natalie Zimmerer | California Baptist |
5 | Alli Schomers | UMKC |
Rank | Name | Team |
---|---|---|
1 | Teagan DeFalco | Grand Canyon |
2 | Samaret Caraballo | UTRGV |
3 | Megan Klavitter | Chicago St. |
4 | Nicole Abreu | California Baptist |
5 | Seren Merrill | Utah Valley |
Rk. | Name | Team | WPA |
---|---|---|---|
1 | Klaire Mitchell | Grand Canyon | 23.6591 |
2 | Megan Klavitter | Chicago St. | 18.9676 |
3 | Debora Nazario | UTRGV | 18.7546 |
4 | Samaret Caraballo | UTRGV | 18.0750 |
5 | Kazna Tarawhiti | Utah Valley | 17.8844 |
6 | Melody Horton | Grand Canyon | 17.8691 |
7 | Savannah Davison | New Mexico St. | 17.5673 |
8 | Barbara Silva | UTRGV | 17.2256 |
9 | Nicole Abreu | California Baptist | 16.7403 |
10 | Teagan DeFalco | Grand Canyon | 16.4990 |
Rk. | Name | Team | OWPA |
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1 | Klaire Mitchell | Grand Canyon | 14.8376 |
2 | Barbara Silva | UTRGV | 12.6237 |
3 | Alli Schomers | UMKC | 10.7899 |
4 | Debora Nazario | UTRGV | 10.1972 |
5 | Eve Kerschenbaum | Seattle U | 9.9840 |
6 | Sydney Marks | California Baptist | 9.7297 |
7 | Natalie Zimmerer | California Baptist | 9.6363 |
8 | Savannah Davison | New Mexico St. | 9.5430 |
9 | Megan Hart | New Mexico St. | 9.0236 |
10 | Borum Josi | Chicago St. | 8.9610 |
Rk. | Name | Team | DWPA |
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1 | Samaret Caraballo | UTRGV | 18.1787 |
2 | Megan Klavitter | Chicago St. | 17.7826 |
3 | Tijana Milojevic | Seattle U | 14.9128 |
4 | Teagan DeFalco | Grand Canyon | 14.7186 |
5 | Nicole Abreu | California Baptist | 14.5229 |
6 | Seren Merrill | Utah Valley | 13.6363 |
7 | Alex Ratzlaff | UMKC | 10.7167 |
8 | Rafa Bonifacio | CSU Bakersfield | 10.6526 |
9 | Melody Horton | Grand Canyon | 9.8736 |
10 | Alicia Harrington | UMKC | 9.7680 |
Rk. | Name | Team | WPA/S |
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1 | Klaire Mitchell | Grand Canyon | 0.2232 |
2 | Kazna Tarawhiti | Utah Valley | 0.1883 |
3 | Savannah Davison | New Mexico St. | 0.1869 |
4 | Megan Klavitter | Chicago St. | 0.1824 |
5 | Alli Schomers | UMKC | 0.1812 |
6 | Alicia Harrington | UMKC | 0.1805 |
7 | Melody Horton | Grand Canyon | 0.1787 |
8 | Debora Nazario | UTRGV | 0.1705 |
9 | Teagan DeFalco | Grand Canyon | 0.1684 |
10 | Samaret Caraballo | UTRGV | 0.1628 |
Rk. | Name | Team | OWPA/S |
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1 | Klaire Mitchell | Grand Canyon | 0.1400 |
2 | Alli Schomers | UMKC | 0.1186 |
3 | Barbara Silva | UTRGV | 0.1117 |
4 | Savannah Davison | New Mexico St. | 0.1015 |
5 | Megan Hart | New Mexico St. | 0.0970 |
6 | Debora Nazario | UTRGV | 0.0927 |
7 | Kazna Tarawhiti | Utah Valley | 0.0920 |
8 | Sydney Marks | California Baptist | 0.0901 |
9 | Natalie Zimmerer | California Baptist | 0.0892 |
10 | Eve Kerschenbaum | Seattle U | 0.0891 |
Rk. | Name | Team | DWPA/S |
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1 | Megan Klavitter | Chicago St. | 0.1710 |
2 | Samaret Caraballo | UTRGV | 0.1638 |
3 | Teagan DeFalco | Grand Canyon | 0.1502 |
4 | Seren Merrill | Utah Valley | 0.1435 |
5 | Nicole Abreu | California Baptist | 0.1357 |
6 | Tijana Milojevic | Seattle U | 0.1286 |
7 | Alex Ratzlaff | UMKC | 0.1218 |
8 | Analyssa Acosta | New Mexico St. | 0.1088 |
9 | Alicia Harrington | UMKC | 0.1085 |
10 | Rafa Bonifacio | CSU Bakersfield | 0.1065 |
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.