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 | Wartburg | 1,630.3306 | 1,628.2946 | 1,629.3123 | 65.80 | 57.95 | 0.286 |
2nd | Coe | 1,518.3694 | 1,510.4994 | 1,514.4293 | 61.57 | 53.36 | 0.155 |
3rd | Loras | 1,486.8914 | 1,484.7135 | 1,485.8021 | 59.38 | 51.91 | 0.145 |
4th | Dubuque | 1,459.9285 | 1,457.3657 | 1,458.6466 | 57.91 | 50.15 | 0.116 |
5th | Neb. Wesleyan | 1,392.8312 | 1,393.6325 | 1,393.2318 | 58.31 | 45.60 | 0.048 |
6th | Central (IA) | 1,386.3551 | 1,388.7772 | 1,387.5656 | 54.99 | 48.11 | 0.093 |
7th | Buena Vista | 1,375.0283 | 1,374.7051 | 1,374.8667 | 54.68 | 48.34 | 0.045 |
8th | Simpson | 1,374.0098 | 1,373.2271 | 1,373.6184 | 53.56 | 46.06 | 0.057 |
9th | Luther | 1,271.1664 | 1,269.3328 | 1,270.2493 | 51.28 | 41.81 | -0.055 |
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 | Wartburg | 0.2957 | 39.04 | 9.47 | 35.62 | 50.49 | 2.48 | 9.42 |
2nd | Coe | 0.2525 | 37.85 | 12.59 | 35.51 | 49.59 | 3.93 | 11.72 |
3rd | Loras | 0.2464 | 36.59 | 11.96 | 33.59 | 51.14 | 3.96 | 9.77 |
4th | Dubuque | 0.2406 | 36.34 | 12.28 | 32.75 | 49.33 | 2.60 | 9.67 |
5th | Central (IA) | 0.2183 | 36.88 | 15.05 | 33.66 | 50.62 | 3.69 | 8.65 |
6th | Buena Vista | 0.2005 | 33.71 | 13.67 | 30.34 | 52.32 | 3.14 | 8.56 |
7th | Simpson | 0.1862 | 35.17 | 16.54 | 30.92 | 48.79 | 3.79 | 9.43 |
8th | Neb. Wesleyan | 0.1775 | 31.85 | 14.10 | 29.10 | 55.72 | 3.05 | 10.58 |
9th | Luther | 0.1418 | 30.43 | 16.25 | 27.54 | 54.13 | 3.32 | 8.96 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
---|---|---|---|---|---|---|---|---|
1st | Wartburg | 0.0096 | 19.14 | 18.18 | 17.67 | 67.15 | 6.46 | 4.77 |
2nd | Coe | 0.0972 | 25.74 | 16.02 | 23.99 | 61.16 | 3.97 | 6.16 |
3rd | Loras | 0.1012 | 25.24 | 15.12 | 23.02 | 61.79 | 4.43 | 5.06 |
4th | Dubuque | 0.1242 | 27.67 | 15.25 | 25.25 | 56.24 | 4.17 | 6.91 |
5th | Central (IA) | 0.1255 | 29.39 | 16.84 | 25.90 | 56.45 | 5.05 | 8.39 |
6th | Simpson | 0.1293 | 28.72 | 15.80 | 25.48 | 55.88 | 3.68 | 7.58 |
7th | Neb. Wesleyan | 0.1295 | 28.94 | 16.00 | 26.38 | 54.47 | 3.60 | 10.00 |
8th | Buena Vista | 0.1555 | 30.34 | 14.79 | 27.57 | 51.76 | 3.73 | 7.43 |
9th | Luther | 0.1972 | 33.23 | 13.51 | 28.63 | 49.86 | 3.97 | 8.44 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
---|---|---|---|---|---|
Scores | 1,431.9691 | 1,426.8801 | 1,420.0225 | 1,413.1480 | 1,423.0049 |
Difference | -5.0891 | -11.9466 | -18.8211 | -11.9522 |
Offense | Defense | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Team | Sets | S | SP | SA | SE | SP% | S/SA | S/SE | OS | SPA | SAA | SEA | SO% | OS/SAA | OS/SEA |
Wartburg | 108 | 2,245 | 1,327 | 172 | 140 | 59.11 | 13.1 | 16.0 | 1,799 | 855 | 127 | 160 | 52.47 | 14.2 | 11.2 |
Coe | 116 | 2,195 | 1,276 | 245 | 210 | 58.13 | 9.0 | 10.5 | 1,926 | 969 | 164 | 196 | 49.69 | 11.7 | 9.8 |
Loras | 122 | 2,551 | 1,432 | 214 | 178 | 56.14 | 11.9 | 14.3 | 2,352 | 1,227 | 157 | 199 | 47.83 | 15.0 | 11.8 |
Buena Vista | 75 | 1,269 | 699 | 125 | 124 | 55.08 | 10.2 | 10.2 | 1,270 | 694 | 131 | 121 | 45.35 | 9.7 | 10.5 |
Neb. Wesleyan | 91 | 1,614 | 923 | 168 | 155 | 57.19 | 9.6 | 10.4 | 1,619 | 925 | 183 | 176 | 42.87 | 8.8 | 9.2 |
Dubuque | 118 | 2,014 | 1,068 | 174 | 153 | 53.03 | 11.6 | 13.2 | 2,048 | 1,123 | 209 | 224 | 45.17 | 9.8 | 9.1 |
Central (IA) | 96 | 1,620 | 848 | 157 | 233 | 52.35 | 10.3 | 7.0 | 1,715 | 953 | 188 | 194 | 44.43 | 9.1 | 8.8 |
Simpson | 82 | 1,406 | 710 | 122 | 180 | 50.50 | 11.5 | 7.8 | 1,575 | 913 | 176 | 172 | 42.03 | 8.9 | 9.2 |
Luther | 88 | 1,328 | 627 | 123 | 113 | 47.21 | 10.8 | 11.8 | 1,730 | 1,057 | 205 | 196 | 38.90 | 8.4 | 8.8 |
Conference Average | 100 | 1,805 | 990 | 167 | 165 | 54.30 | 10.9 | 11.2 | 1,782 | 968 | 171 | 182 | 45.42 | 10.6 | 9.8 |
|
|
|
Game Link | EPIC | Game Date | Location | Teams | Sets | Set 1 | Set 2 | Set 3 | Set 4 | Set 5 |
---|---|---|---|---|---|---|---|---|---|---|
GAME |
77.82 |
2021-11-06 |
|
|
|
|
|
|
|
|
GAME |
76.31 |
2021-09-21 |
|
|
|
|
|
|
|
|
GAME |
72.61 |
2021-10-13 |
|
|
|
|
|
|
||
GAME |
72.56 |
2021-09-29 |
|
|
|
|
|
|
|
|
GAME |
72.38 |
2021-10-16 |
|
|
|
|
|
|
|
|
GAME |
72.22 |
2021-09-21 |
|
|
|
|
|
|
||
GAME |
70.10 |
2021-10-09 |
|
|
|
|
|
|
|
|
GAME |
68.47 |
2021-11-05 |
|
|
|
|
|
|||
GAME |
68.02 |
2021-10-09 |
|
|
|
|
|
|
|
|
GAME |
67.42 |
2021-10-27 |
|
|
|
|
|
|
|
Name | Team | Role |
---|---|---|
Kylie Bildstein | Wartburg | A |
Allison Feigenbaum | Wartburg | A |
Sydney McLaren | Buena Vista | A |
Emma Powell | Dubuque | A |
Sarina Stortz | Luther | A |
Katie Foster | Wartburg | D |
Claire Marsh | Wartburg | D |
Taylor Wedemeyer | Buena Vista | S |
Name | Team | Role |
---|---|---|
Zaiah Quirk | Wartburg | A |
Kate Tidman | Coe | A |
Hallie Uhlig | Central (IA) | A |
Jayme Willemssen | Wartburg | A |
Kennedy Meister | Wartburg | D |
Madi Parson | Coe | D |
Elli Teeple | Coe | S |
Rank | Name | Team |
---|---|---|
1 | Sydney McLaren | Buena Vista |
2 | Claire Marsh | Wartburg |
3 | Kylie Bildstein | Wartburg |
4 | Madi Parson | Coe |
5 | Katie Foster | Wartburg |
Rank | Name | Team |
---|---|---|
1 | Sydney McLaren | Buena Vista |
2 | Kylie Bildstein | Wartburg |
3 | Emma Powell | Dubuque |
4 | Zaiah Quirk | Wartburg |
5 | Kate Tidman | Coe |
Rank | Name | Team |
---|---|---|
1 | Taylor Wedemeyer | Buena Vista |
2 | Elli Teeple | Coe |
3 | Kate Messino | Dubuque |
4 | Kaylynn Murray | Dubuque |
5 | Hailey Becker | Luther |
Rank | Name | Team |
---|---|---|
1 | Katie Foster | Wartburg |
2 | Kennedy Meister | Wartburg |
3 | Krystal Tranel | Loras |
4 | Majda Suljic | Coe |
5 | Caroline Kluesner | Wartburg |
Rk. | Name | Team | WPA |
---|---|---|---|
1 | Madi Parson | Coe | 23.9779 |
2 | Sara Hoskins | Loras | 23.8514 |
3 | Emma Powell | Dubuque | 23.0696 |
4 | Claire Marsh | Wartburg | 21.4636 |
5 | Krystal Tranel | Loras | 20.2279 |
6 | Sydney McLaren | Buena Vista | 18.3643 |
7 | Elli Teeple | Coe | 18.2198 |
8 | Katie Foster | Wartburg | 17.9389 |
9 | Moira Mixan | Loras | 17.0977 |
10 | Kate Tidman | Coe | 17.0642 |
Rk. | Name | Team | OWPA |
---|---|---|---|
1 | Lyndsi Wilgenbusch | Loras | 13.6666 |
2 | Sara Hoskins | Loras | 12.5451 |
3 | Madi Parson | Coe | 12.4994 |
4 | Emma Powell | Dubuque | 11.8242 |
5 | Liz Fleckenstein | Loras | 11.4912 |
6 | Kylie Bildstein | Wartburg | 11.3263 |
7 | Claire Marsh | Wartburg | 11.3073 |
8 | Elli Teeple | Coe | 10.4839 |
9 | Sydney McLaren | Buena Vista | 10.2266 |
10 | Jessica Jacobs | Simpson | 9.2917 |
Rk. | Name | Team | DWPA |
---|---|---|---|
1 | Krystal Tranel | Loras | 18.9764 |
2 | Katie Foster | Wartburg | 16.9551 |
3 | Majda Suljic | Coe | 15.2883 |
4 | Katie Wright | Dubuque | 11.6826 |
5 | Moira Mixan | Loras | 11.6094 |
6 | Madi Parson | Coe | 11.4785 |
7 | Landry Luhring | Central (IA) | 11.3424 |
8 | Sara Hoskins | Loras | 11.3062 |
9 | Emma Powell | Dubuque | 11.2454 |
10 | Claire Marsh | Wartburg | 10.1563 |
Rk. | Name | Team | WPA/S |
---|---|---|---|
1 | Sydney McLaren | Buena Vista | 0.3113 |
2 | Madi Parson | Coe | 0.2398 |
3 | Emma Powell | Dubuque | 0.2354 |
4 | Claire Marsh | Wartburg | 0.2259 |
5 | Sara Hoskins | Loras | 0.2074 |
6 | Taylor Wedemeyer | Buena Vista | 0.2024 |
7 | Katie Foster | Wartburg | 0.1888 |
8 | Jessica Jacobs | Simpson | 0.1867 |
9 | Elli Teeple | Coe | 0.1822 |
10 | Krystal Tranel | Loras | 0.1759 |
Rk. | Name | Team | OWPA/S |
---|---|---|---|
1 | Sydney McLaren | Buena Vista | 0.1733 |
2 | Jessica Jacobs | Simpson | 0.1408 |
3 | Madi Parson | Coe | 0.1250 |
4 | Taylor Wedemeyer | Buena Vista | 0.1224 |
5 | Emma Powell | Dubuque | 0.1207 |
6 | Kylie Bildstein | Wartburg | 0.1192 |
7 | Claire Marsh | Wartburg | 0.1190 |
8 | Lyndsi Wilgenbusch | Loras | 0.1188 |
9 | Sara Hoskins | Loras | 0.1091 |
10 | Elli Teeple | Coe | 0.1048 |
Rk. | Name | Team | DWPA/S |
---|---|---|---|
1 | Katie Foster | Wartburg | 0.1785 |
2 | Krystal Tranel | Loras | 0.1650 |
3 | Majda Suljic | Coe | 0.1529 |
4 | Sydney McLaren | Buena Vista | 0.1379 |
5 | Jade Hays | Buena Vista | 0.1345 |
6 | Katie Wright | Dubuque | 0.1328 |
7 | Landry Luhring | Central (IA) | 0.1304 |
8 | Iman Ghalibaf | Simpson | 0.1291 |
9 | Kennady Klein | Neb. Wesleyan | 0.1193 |
10 | Madi Parson | Coe | 0.1148 |
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.