Nerdly Nebraska.
2023-2024 HuskerGeek Ratings Leaders
Sport | School | Rating |
---|---|---|
ViPR D1 Volleyball | Wisconsin | 1,711.3731 |
Sport | School | Rating |
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ViPR D1 Volleyball | Wisconsin | 1,711.3731 |
Rnk. | Team | Résumé | Recent | ViPR | Adj SP% | Adj SO% | Adj. Hit Mar. |
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1st | Northwestern-St. Paul | 1,438.5517 | 1,437.4750 | 1,438.0133 | 54.87 | 66.52 | 0.194 |
2nd | Minn.-Morris | 1,374.9541 | 1,371.1634 | 1,373.0575 | 53.84 | 63.19 | 0.165 |
3rd | Martin Luther | 1,355.4030 | 1,352.9188 | 1,354.1603 | 49.90 | 61.87 | 0.122 |
4th | St. Scholastica | 1,352.8345 | 1,354.4697 | 1,353.6518 | 52.95 | 60.38 | 0.116 |
5th | Bethany Lutheran | 1,227.6474 | 1,229.6110 | 1,228.6288 | 46.13 | 52.04 | -0.022 |
6th | Crown (MN) | 1,075.5485 | 1,083.8996 | 1,079.7160 | 35.12 | 44.03 | -0.214 |
7th | North Central (MN) | 1,010.6033 | 1,001.8392 | 1,006.2117 | 35.68 | 38.56 | -0.267 |
8th | Northland | 981.7256 | 995.7556 | 988.7157 | 34.74 | 38.42 | -0.302 |
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 | Northwestern-St. Paul | 0.2879 | 41.95 | 13.17 | 38.79 | 46.83 | 3.33 | 7.86 |
2nd | Minn.-Morris | 0.2647 | 38.79 | 12.32 | 35.26 | 49.98 | 3.06 | 10.30 |
3rd | Martin Luther | 0.2388 | 37.92 | 14.05 | 35.08 | 47.73 | 4.19 | 7.50 |
4th | St. Scholastica | 0.2211 | 35.61 | 13.50 | 31.81 | 50.87 | 3.73 | 7.98 |
5th | Bethany Lutheran | 0.1317 | 32.18 | 19.01 | 29.19 | 54.37 | 4.72 | 7.10 |
6th | Crown (MN) | 0.0629 | 29.16 | 22.87 | 27.38 | 55.14 | 5.44 | 8.29 |
7th | North Central (MN) | -0.0007 | 23.19 | 23.26 | 21.23 | 63.88 | 5.89 | 6.61 |
8th | Northland | -0.0349 | 21.89 | 25.38 | 19.21 | 63.04 | 4.51 | 8.63 |
Rnk. | Team | O_Hit% | O_Kill% | O_HE% | O_AST% | DIG% | BLK% | O_ACE% |
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1st | Northwestern-St. Paul | 0.0940 | 26.90 | 17.50 | 25.45 | 57.12 | 7.00 | 4.42 |
2nd | Minn.-Morris | 0.0999 | 26.02 | 16.03 | 23.78 | 58.64 | 5.70 | 5.24 |
3rd | St. Scholastica | 0.1049 | 26.05 | 15.56 | 23.37 | 59.25 | 4.39 | 5.90 |
4th | Martin Luther | 0.1172 | 28.32 | 16.60 | 26.63 | 55.30 | 6.32 | 6.02 |
5th | Bethany Lutheran | 0.1541 | 32.66 | 17.25 | 29.20 | 54.41 | 6.43 | 7.14 |
6th | North Central (MN) | 0.2659 | 40.04 | 13.45 | 36.78 | 50.10 | 2.14 | 11.77 |
7th | Northland | 0.2673 | 41.45 | 14.72 | 36.52 | 44.24 | 3.54 | 12.21 |
8th | Crown (MN) | 0.2769 | 40.69 | 13.00 | 36.63 | 50.30 | 2.39 | 11.47 |
Description | Average | Remove First and Last | Remove Top and Bottom 2 | Remove Top and Bottom 3 | Composite |
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Scores | 1,227.7694 | 1,232.5710 | 1,254.0392 | 1,291.1403 | 1,251.3800 |
Difference | 4.8016 | 26.2698 | 63.3709 | 31.4808 |
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 |
Minn.-Morris | 113 | 1,885 | 970 | 219 | 243 | 51.46 | 8.6 | 7.8 | 1,587 | 661 | 134 | 214 | 58.35 | 11.8 | 7.4 |
Northwestern-St. Paul | 132 | 2,503 | 1,234 | 168 | 181 | 49.30 | 14.9 | 13.8 | 2,187 | 892 | 146 | 213 | 59.21 | 15.0 | 10.3 |
Martin Luther | 99 | 1,779 | 859 | 138 | 105 | 48.29 | 12.9 | 16.9 | 1,622 | 688 | 129 | 161 | 57.58 | 12.6 | 10.1 |
St. Scholastica | 102 | 2,065 | 1,017 | 133 | 127 | 49.25 | 15.5 | 16.3 | 1,921 | 872 | 139 | 179 | 54.61 | 13.8 | 10.7 |
Bethany Lutheran | 78 | 1,297 | 588 | 88 | 107 | 45.34 | 14.7 | 12.1 | 1,473 | 768 | 140 | 151 | 47.86 | 10.5 | 9.8 |
North Central (MN) | 75 | 1,164 | 469 | 88 | 111 | 40.29 | 13.2 | 10.5 | 1,719 | 1,052 | 213 | 138 | 38.80 | 8.1 | 12.5 |
Crown (MN) | 90 | 1,240 | 458 | 120 | 145 | 36.94 | 10.3 | 8.6 | 1,831 | 1,073 | 251 | 193 | 41.40 | 7.3 | 9.5 |
Northland | 86 | 1,145 | 434 | 107 | 165 | 37.90 | 10.7 | 6.9 | 1,823 | 1,144 | 243 | 173 | 37.25 | 7.5 | 10.5 |
Conference Average | 97 | 1,635 | 754 | 133 | 148 | 44.85 | 12.6 | 11.6 | 1,770 | 894 | 174 | 178 | 49.38 | 10.8 | 10.1 |
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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 |
70.31 |
2013-09-28 | New Ulm, Minn. |
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GAME |
67.61 |
2013-10-05 | St. Paul, Minn. |
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GAME |
67.26 |
2013-11-02 | Morris, Minn. |
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GAME |
66.84 |
2013-11-09 | St. Paul, Minn. |
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GAME |
64.38 |
2013-10-25 | Duluth, MN |
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GAME |
63.91 |
2013-10-19 | St. Paul, Minn. |
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GAME |
63.73 |
2013-11-02 | New Ulm, Minn. |
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GAME |
63.33 |
2013-09-21 | Morris, Minn. |
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GAME |
62.31 |
2013-11-06 | St. Paul, Minn. |
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GAME |
62.31 |
2013-11-06 | Morris, Minn. |
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Rank | Name | Team |
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1 | Rebecca Engelbrecht | Martin Luther |
2 | Kortney Morrin | St. Scholastica |
3 | Krista Stoltz | Northwestern-St. Paul |
4 | Miranda Maasz | Martin Luther |
5 | Lexi Bertsch | Northwestern-St. Paul |
Rank | Name | Team |
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1 | Rebecca Engelbrecht | Martin Luther |
2 | Kendra Korporal | Northwestern-St. Paul |
3 | Abby Tietz | Minn.-Morris |
4 | Cari Miller | Northwestern-St. Paul |
5 | Emily Auch | Minn.-Morris |
Rank | Name | Team |
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1 | Krista Stoltz | Northwestern-St. Paul |
2 | Miranda Maasz | Martin Luther |
3 | Erika Birkeland | St. Scholastica |
4 | Mandy Allman | Minn.-Morris |
5 | Kayley Siekmann | Minn.-Morris |
Rank | Name | Team |
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1 | Lexi Bertsch | Northwestern-St. Paul |
2 | Kaylie Clark | Minn.-Morris |
3 | Danielle Benusa | St. Scholastica |
4 | Alex Anthon | Martin Luther |
5 | Kayla Schoeneck | Martin Luther |
Rk. | Name | Team | WPA |
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1 | Krista Stoltz | Northwestern-St. Paul | 20.5288 |
2 | Rebecca Engelbrecht | Martin Luther | 20.0899 |
3 | Kortney Morrin | St. Scholastica | 16.8675 |
4 | Lexi Bertsch | Northwestern-St. Paul | 16.7778 |
5 | Lizzy Potratz | Northwestern-St. Paul | 16.3746 |
6 | Miranda Maasz | Martin Luther | 14.8754 |
7 | Kendra Korporal | Northwestern-St. Paul | 14.0993 |
8 | Kaylie Clark | Minn.-Morris | 13.2080 |
9 | Abby Tietz | Minn.-Morris | 12.4049 |
10 | Hallie Mueth | Northwestern-St. Paul | 12.2405 |
Rk. | Name | Team | OWPA |
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1 | Krista Stoltz | Northwestern-St. Paul | 13.7034 |
2 | Rebecca Engelbrecht | Martin Luther | 10.7752 |
3 | Miranda Maasz | Martin Luther | 9.9109 |
4 | Kortney Morrin | St. Scholastica | 8.1155 |
5 | Cari Miller | Northwestern-St. Paul | 7.4673 |
6 | Faith Galien | Northwestern-St. Paul | 7.2234 |
7 | Emily Auch | Minn.-Morris | 6.9122 |
8 | Kendra Korporal | Northwestern-St. Paul | 6.8436 |
9 | Erika Birkeland | St. Scholastica | 6.6032 |
10 | Abby Tietz | Minn.-Morris | 6.5913 |
Rk. | Name | Team | DWPA |
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1 | Lexi Bertsch | Northwestern-St. Paul | 16.0190 |
2 | Kaylie Clark | Minn.-Morris | 12.6813 |
3 | Lizzy Potratz | Northwestern-St. Paul | 10.4545 |
4 | Alex Anthon | Martin Luther | 9.7029 |
5 | Rebecca Engelbrecht | Martin Luther | 9.3147 |
6 | Kortney Morrin | St. Scholastica | 8.7520 |
7 | Hallie Mueth | Northwestern-St. Paul | 7.4336 |
8 | Kendra Korporal | Northwestern-St. Paul | 7.2557 |
9 | Danielle Benusa | St. Scholastica | 6.9064 |
10 | Krista Stoltz | Northwestern-St. Paul | 6.8254 |
Rk. | Name | Team | WPA/S |
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1 | Rebecca Engelbrecht | Martin Luther | 0.2679 |
2 | Krista Stoltz | Northwestern-St. Paul | 0.1883 |
3 | Miranda Maasz | Martin Luther | 0.1883 |
4 | Kortney Morrin | St. Scholastica | 0.1794 |
5 | Lexi Bertsch | Northwestern-St. Paul | 0.1730 |
6 | Kaylie Clark | Minn.-Morris | 0.1693 |
7 | Abby Tietz | Minn.-Morris | 0.1632 |
8 | Kendra Korporal | Northwestern-St. Paul | 0.1549 |
9 | Emily Auch | Minn.-Morris | 0.1508 |
10 | Lizzy Potratz | Northwestern-St. Paul | 0.1489 |
Rk. | Name | Team | OWPA/S |
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1 | Rebecca Engelbrecht | Martin Luther | 0.1437 |
2 | Krista Stoltz | Northwestern-St. Paul | 0.1257 |
3 | Miranda Maasz | Martin Luther | 0.1255 |
4 | Emily Auch | Minn.-Morris | 0.0898 |
5 | Abby Tietz | Minn.-Morris | 0.0867 |
6 | Kortney Morrin | St. Scholastica | 0.0863 |
7 | Erika Birkeland | St. Scholastica | 0.0805 |
8 | Cari Miller | Northwestern-St. Paul | 0.0762 |
9 | Heather Danell | Martin Luther | 0.0752 |
10 | Kendra Korporal | Northwestern-St. Paul | 0.0752 |
Rk. | Name | Team | DWPA/S |
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1 | Lexi Bertsch | Northwestern-St. Paul | 0.1651 |
2 | Kaylie Clark | Minn.-Morris | 0.1626 |
3 | Rebecca Engelbrecht | Martin Luther | 0.1242 |
4 | Alex Anthon | Martin Luther | 0.1228 |
5 | Danielle Benusa | St. Scholastica | 0.1096 |
6 | Jessi Jurries | Bethany Lutheran | 0.1005 |
7 | Lizzy Potratz | Northwestern-St. Paul | 0.0950 |
8 | Kortney Morrin | St. Scholastica | 0.0931 |
9 | Hallie Mueth | Northwestern-St. Paul | 0.0885 |
10 | Alex Barsody | St. Scholastica | 0.0863 |
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.