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 | Coe | 1,550.3234 | 1,552.2715 | 1,551.2972 | 64.33 | 57.75 | 0.224 |
2nd | Wartburg | 1,484.7293 | 1,490.4652 | 1,487.5945 | 61.13 | 52.66 | 0.168 |
3rd | Dubuque | 1,451.4574 | 1,451.1568 | 1,451.3071 | 60.03 | 51.00 | 0.147 |
4th | Neb. Wesleyan | 1,428.1455 | 1,430.7914 | 1,429.4678 | 61.39 | 50.71 | 0.109 |
5th | Simpson | 1,428.5542 | 1,423.0297 | 1,425.7893 | 59.00 | 48.62 | 0.109 |
6th | Buena Vista | 1,424.4822 | 1,416.3599 | 1,420.4153 | 59.56 | 51.64 | 0.096 |
7th | Central (IA) | 1,388.8277 | 1,387.4326 | 1,388.1300 | 56.92 | 48.04 | 0.090 |
8th | Loras | 1,370.5035 | 1,372.6787 | 1,371.5907 | 57.19 | 46.93 | 0.061 |
9th | Luther | 1,348.6181 | 1,344.4812 | 1,346.5480 | 55.74 | 45.04 | 0.040 |
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 | Coe | 0.2827 | 39.50 | 11.23 | 36.19 | 48.15 | 3.03 | 11.37 |
2nd | Wartburg | 0.2602 | 38.95 | 12.93 | 36.08 | 48.39 | 4.08 | 12.61 |
3rd | Dubuque | 0.2542 | 36.66 | 11.24 | 33.23 | 47.81 | 2.59 | 10.12 |
4th | Simpson | 0.2202 | 37.58 | 15.57 | 33.26 | 42.00 | 4.11 | 11.41 |
5th | Buena Vista | 0.2197 | 35.74 | 13.77 | 32.97 | 49.20 | 4.14 | 11.16 |
6th | Neb. Wesleyan | 0.2062 | 32.47 | 11.85 | 29.18 | 53.78 | 3.16 | 9.71 |
7th | Central (IA) | 0.2006 | 34.86 | 14.80 | 31.52 | 50.03 | 3.17 | 11.80 |
8th | Luther | 0.1873 | 31.94 | 13.21 | 27.96 | 54.11 | 2.98 | 10.56 |
9th | Loras | 0.1834 | 33.32 | 14.98 | 30.05 | 50.83 | 4.18 | 9.91 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | Coe | 0.0583 | 23.96 | 18.13 | 22.80 | 62.86 | 4.67 | 5.45 |
2nd | Wartburg | 0.0921 | 27.42 | 18.21 | 25.19 | 60.73 | 6.00 | 6.25 |
3rd | Neb. Wesleyan | 0.0967 | 27.13 | 17.46 | 25.20 | 57.60 | 4.25 | 7.71 |
4th | Dubuque | 0.1076 | 26.71 | 15.95 | 24.20 | 57.91 | 4.60 | 7.34 |
5th | Central (IA) | 0.1103 | 28.12 | 17.09 | 25.61 | 57.16 | 4.63 | 7.80 |
6th | Simpson | 0.1112 | 28.41 | 17.29 | 25.16 | 54.23 | 4.42 | 8.84 |
7th | Loras | 0.1227 | 28.54 | 16.27 | 26.91 | 57.06 | 4.89 | 7.19 |
8th | Buena Vista | 0.1233 | 29.10 | 16.77 | 27.39 | 52.77 | 4.34 | 6.37 |
9th | Luther | 0.1476 | 29.68 | 14.92 | 26.55 | 54.73 | 4.14 | 8.53 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,430.2378 | 1,424.8992 | 1,423.0219 | 1,425.2241 | 1,425.8458 |
Difference | -5.3385 | -7.2159 | -5.0136 | -5.8560 |
Offense | Defense | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Team | Sets | S | SP | SA | SE | SP% | S/SA | S/SE | OS | SPA | SAA | SEA | SO% | OS/SAA | OS/SEA |
Coe | 124 | 2,716 | 1,596 | 240 | 212 | 58.76 | 11.3 | 12.8 | 2,370 | 1,167 | 183 | 228 | 50.76 | 13.0 | 10.4 |
Neb. Wesleyan | 102 | 2,196 | 1,286 | 172 | 156 | 58.56 | 12.8 | 14.1 | 2,045 | 1,097 | 188 | 187 | 46.36 | 10.9 | 10.9 |
Wartburg | 93 | 2,067 | 1,179 | 209 | 161 | 57.04 | 9.9 | 12.8 | 1,905 | 1,017 | 150 | 152 | 46.61 | 12.7 | 12.5 |
Buena Vista | 98 | 1,957 | 1,106 | 180 | 189 | 56.52 | 10.9 | 10.4 | 1,944 | 1,049 | 165 | 165 | 46.04 | 11.8 | 11.8 |
Simpson | 94 | 1,975 | 1,120 | 194 | 180 | 56.71 | 10.2 | 11.0 | 1,950 | 1,108 | 191 | 167 | 43.18 | 10.2 | 11.7 |
Dubuque | 111 | 2,362 | 1,288 | 178 | 194 | 54.53 | 13.3 | 12.2 | 2,422 | 1,346 | 223 | 193 | 44.43 | 10.9 | 12.5 |
Central (IA) | 89 | 1,832 | 992 | 186 | 204 | 54.15 | 9.8 | 9.0 | 1,905 | 1,090 | 185 | 167 | 42.78 | 10.3 | 11.4 |
Loras | 96 | 1,924 | 1,033 | 156 | 137 | 53.69 | 12.3 | 14.0 | 2,077 | 1,216 | 179 | 163 | 41.45 | 11.6 | 12.7 |
Luther | 102 | 1,810 | 974 | 186 | 183 | 53.81 | 9.7 | 9.9 | 1,931 | 1,143 | 221 | 199 | 40.81 | 8.7 | 9.7 |
Conference Average | 101 | 2,093 | 1,175 | 189 | 180 | 55.97 | 11.1 | 11.8 | 2,061 | 1,137 | 187 | 180 | 44.71 | 11.1 | 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 |
70.88 |
2022-10-22 |
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GAME |
70.61 |
2022-10-07 |
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GAME |
70.23 |
2022-11-03 |
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GAME |
69.68 |
2022-10-21 |
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GAME |
69.23 |
2022-09-21 |
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GAME |
68.76 |
2022-10-07 |
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GAME |
68.41 |
2022-10-08 |
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GAME |
68.29 |
2022-10-08 |
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GAME |
67.81 |
2022-10-07 |
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GAME |
67.32 |
2022-10-21 |
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Name | Team | Role |
---|---|---|
Allison Feigenbaum | Wartburg | A |
Grace Lueken | Coe | A |
Emma Powell | Dubuque | A |
Sarina Stortz | Luther | A |
Addie Thomas | Neb. Wesleyan | A |
Ella Koloc | Coe | D |
Madi Parson | Coe | D |
Maddy Maahs | Coe | S |
Name | Team | Role |
---|---|---|
Nyah Chambers | Neb. Wesleyan | A |
Darby Hawtrey | Dubuque | A |
Jessica Jacobs | Simpson | A |
Olivia Smith | Loras | A |
Payton Uptagraft | Dubuque | A |
Rachel Brockney | Buena Vista | D |
Caroline Kluesner | Wartburg | D |
Erica Hopping | Neb. Wesleyan | S |
Rank | Name | Team |
---|---|---|
1 | Emma Powell | Dubuque |
2 | Madi Parson | Coe |
3 | Maddy Maahs | Coe |
4 | Erica Hopping | Neb. Wesleyan |
5 | Rachel Brockney | Buena Vista |
Rank | Name | Team |
---|---|---|
1 | Emma Powell | Dubuque |
2 | Addie Thomas | Neb. Wesleyan |
3 | Allison Feigenbaum | Wartburg |
4 | Grace Lueken | Coe |
5 | Darby Hawtrey | Dubuque |
Rank | Name | Team |
---|---|---|
1 | Maddy Maahs | Coe |
2 | Erica Hopping | Neb. Wesleyan |
3 | Taylor Wedemeyer | Buena Vista |
4 | Marissa Salber | Simpson |
5 | Emma Kowalczyk | Luther |
Rank | Name | Team |
---|---|---|
1 | Ella Koloc | Coe |
2 | Caroline Kluesner | Wartburg |
3 | Kennady Klein | Neb. Wesleyan |
4 | Sam Stoffregen | Loras |
5 | Iman Ghalibaf | Simpson |
Rk. | Name | Team | WPA |
---|---|---|---|
1 | Emma Powell | Dubuque | 27.6468 |
2 | Madi Parson | Coe | 24.4957 |
3 | Maddy Maahs | Coe | 23.6682 |
4 | Kate Tidman | Coe | 19.8466 |
5 | Ella Koloc | Coe | 19.1709 |
6 | Erica Hopping | Neb. Wesleyan | 18.0154 |
7 | Rachel Brockney | Buena Vista | 17.5537 |
8 | Taylor Wedemeyer | Buena Vista | 17.1537 |
9 | Sara Hoskins | Loras | 16.6254 |
10 | Darby Hawtrey | Dubuque | 16.1638 |
Rk. | Name | Team | OWPA |
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1 | Maddy Maahs | Coe | 14.5976 |
2 | Emma Powell | Dubuque | 13.9691 |
3 | Erica Hopping | Neb. Wesleyan | 11.2769 |
4 | Taylor Wedemeyer | Buena Vista | 10.5289 |
5 | Grace Lueken | Coe | 10.3632 |
6 | Madi Parson | Coe | 10.0075 |
7 | Allison Feigenbaum | Wartburg | 9.7161 |
8 | Darby Hawtrey | Dubuque | 9.5750 |
9 | Jessica Jacobs | Simpson | 9.4880 |
10 | Marissa Salber | Simpson | 8.8780 |
Rk. | Name | Team | DWPA |
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1 | Ella Koloc | Coe | 17.0015 |
2 | Madi Parson | Coe | 14.4882 |
3 | Kennady Klein | Neb. Wesleyan | 14.1284 |
4 | Emma Powell | Dubuque | 13.6778 |
5 | Caroline Kluesner | Wartburg | 13.6020 |
6 | Iman Ghalibaf | Simpson | 12.2799 |
7 | Katie Wright | Dubuque | 12.1576 |
8 | Kate Tidman | Coe | 11.8730 |
9 | Sam Stoffregen | Loras | 11.7480 |
10 | Kyah Olson-Sola | Luther | 10.9777 |
Rk. | Name | Team | WPA/S |
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1 | Emma Powell | Dubuque | 0.2584 |
2 | Madi Parson | Coe | 0.2058 |
3 | Maddy Maahs | Coe | 0.1989 |
4 | Rachel Brockney | Buena Vista | 0.1950 |
5 | Taylor Wedemeyer | Buena Vista | 0.1949 |
6 | Erica Hopping | Neb. Wesleyan | 0.1896 |
7 | Sara Hoskins | Loras | 0.1807 |
8 | Addie Thomas | Neb. Wesleyan | 0.1788 |
9 | Kate Tidman | Coe | 0.1668 |
10 | Emerson Kracht | Wartburg | 0.1655 |
Rk. | Name | Team | OWPA/S |
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1 | Emma Powell | Dubuque | 0.1306 |
2 | Maddy Maahs | Coe | 0.1227 |
3 | Taylor Wedemeyer | Buena Vista | 0.1196 |
4 | Erica Hopping | Neb. Wesleyan | 0.1187 |
5 | Jessica Jacobs | Simpson | 0.1066 |
6 | Allison Feigenbaum | Wartburg | 0.1045 |
7 | Marissa Salber | Simpson | 0.0986 |
8 | Addie Thomas | Neb. Wesleyan | 0.0931 |
9 | Amanda Smith | Central (IA) | 0.0926 |
10 | Sara Hoskins | Loras | 0.0881 |
Rk. | Name | Team | DWPA/S |
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1 | Caroline Kluesner | Wartburg | 0.1463 |
2 | Ella Koloc | Coe | 0.1441 |
3 | Kennady Klein | Neb. Wesleyan | 0.1427 |
4 | Iman Ghalibaf | Simpson | 0.1380 |
5 | Sam Stoffregen | Loras | 0.1305 |
6 | Emma Powell | Dubuque | 0.1278 |
7 | Ivett Flores | Central (IA) | 0.1260 |
8 | Kyah Olson-Sola | Luther | 0.1247 |
9 | Molly Bense | Buena Vista | 0.1227 |
10 | Madi Parson | Coe | 0.1217 |
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.